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Chiang SS, Tanzer JR, Starke JR, Friedman JF, Roman Sinche B, León Ostos K, Espinoza Meza R, Altamirano E, Beckhorn CB, Oliva Rapoport VE, Tovar MA, Lecca L. Identifying adolescents at risk for suboptimal adherence to tuberculosis treatment: A prospective cohort study. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0002918. [PMID: 38412160 PMCID: PMC10898721 DOI: 10.1371/journal.pgph.0002918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/25/2024] [Indexed: 02/29/2024]
Abstract
Adolescents account for an estimated 800,000 incident tuberculosis (TB) cases annually and are at risk for suboptimal adherence to TB treatment. Most studies of adolescent TB treatment adherence have used surveillance data with limited psychosocial information. This prospective cohort study aimed to identify risk factors for suboptimal adherence to rifampicin-susceptible TB treatment among adolescents (10-19 years old) in Lima, Peru. We collected psychosocial data using self-administered surveys and clinical data via medical record abstraction. Applying k-means cluster analysis, we grouped participants by psychosocial characteristics hypothesized to impact adherence. Then, we conducted mixed effects regression to compare suboptimal adherence-defined as <90% (missing >10% of doses)-between clusters. Treatment setting (facility vs. home) and drug formulation (single drug vs. fixed dose combination) were interaction terms. Of 249 participants, 90 (36.1%) were female. Median age was 17 (IQR: 15, 16.6) years. We identified three clusters-A, B, and C-of participants based on psychosocial characteristics. Cluster C had the lowest support from caregivers, other family members, and friends; had the weakest motivation to complete TB treatment; were least likely to live with their mothers; and had experienced the most childhood adversity. Among the 118 (47.4%) participants who received facility-based treatment with single drug formulations, adherence did not differ between Clusters A and B, but Cluster C had six-fold odds of suboptimal adherence compared to Cluster A. In Clusters B and C, adherence worsened over time, but only in Cluster C did mean adherence fall below 90% within six months. Our findings have implications for the care of adolescents with TB. When caring for adolescents with low social support and other risk factors, clinicians should take extra measures to reinforce adherence, such as identifying a community health worker or peer to provide treatment support. Implementing newly recommended shorter regimens also may facilitate adherence.
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Affiliation(s)
- Silvia S Chiang
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
- Center for International Health Research, Rhode Island Hospital, Providence, Rhode Island, United States of America
| | - Joshua Ray Tanzer
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Jeffrey R Starke
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, United States of America
- Section of Infectious Diseases, Texas Children's Hospital, Houston, Texas, United States of America
| | - Jennifer F Friedman
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
- Center for International Health Research, Rhode Island Hospital, Providence, Rhode Island, United States of America
| | | | | | | | | | | | - Victoria E Oliva Rapoport
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Marco A Tovar
- Socios En Salud Sucursal Perú, Lima, Peru
- Facultad de Ciencias de Salud, Escuela de Medicina, Universidad Peruana de Ciencias Aplicadas, Lima, Peu
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Dufour I, Fougère Y, Goetghebuer T, Hainaut M, Mbiya B, Kakkar F, Yombi JC, Van der Linden D. Gen Z and HIV-Strategies for Optimizing the Care of the Next Generation of Adolescents Living with HIV. Viruses 2023; 15:2023. [PMID: 37896800 PMCID: PMC10611287 DOI: 10.3390/v15102023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023] Open
Abstract
The management of adolescents living with HIV represents a particular challenge in the global response to HIV. The challenges specific to this age group include difficulties engaging and maintaining them in care, challenges with transition to adult care, and limited therapeutic options for treatment-experienced patients, all of which have been jeopardized by the COVID-19 pandemic. This paper summarizes some of the challenges in managing adolescents living with HIV, as well as some of the most recent and innovative therapeutic approaches in this population.
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Affiliation(s)
- Inès Dufour
- Department of Internal Medicine and Infectious Diseases, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200 Brussels, Belgium;
| | - Yves Fougère
- Division of Infectious Diseases, Department of Pediatrics, CHU Sainte-Justine, Université de Montréal, Montréal, QC H3T 1J4, Canada; (Y.F.); (F.K.)
- Centre d’Infectiologie Mère-Enfant (CIME), Department of Pediatrics, CHU Sainte-Justine, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Tessa Goetghebuer
- Department of Pediatrics, Centre Hospitalier Universitaire Saint-Pierre, Université Libre de Bruxelles, 1000 Brussels, Belgium; (T.G.); (M.H.)
| | - Marc Hainaut
- Department of Pediatrics, Centre Hospitalier Universitaire Saint-Pierre, Université Libre de Bruxelles, 1000 Brussels, Belgium; (T.G.); (M.H.)
| | - Benoît Mbiya
- Pediatrics Department, Faculty of Medicine, University of Mbujimayi, Mbujimayi 06201, Democratic Republic of the Congo;
- Sickle Cell Reference Center, Clinique Pédiatrique de Mbujimayi, Pediatrics Clinic of Mbujimayi, Mbujimayi 06201, Democratic Republic of the Congo
| | - Fatima Kakkar
- Division of Infectious Diseases, Department of Pediatrics, CHU Sainte-Justine, Université de Montréal, Montréal, QC H3T 1J4, Canada; (Y.F.); (F.K.)
- Centre d’Infectiologie Mère-Enfant (CIME), Department of Pediatrics, CHU Sainte-Justine, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Jean Cyr Yombi
- Department of Internal Medicine and Infectious Diseases, Cliniques Universitaires Saint-Luc, Avenue Hippocrate, 10, 1200 Brussels, Belgium;
- Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, 1348 Brussels, Belgium;
| | - Dimitri Van der Linden
- Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, 1348 Brussels, Belgium;
- Pediatric Infectious Diseases, Service of Specialized Pediatrics, Department of Pediatrics, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, 1200 Brussels, Belgium
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3
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Chiang SS, Senador L, Altamirano E, Wong M, Beckhorn CB, Roche S, Coit J, Oliva Rapoport VE, Lecca L, Galea JT. Adolescent, caregiver and provider perspectives on tuberculosis treatment adherence: a qualitative study from Lima, Peru. BMJ Open 2023; 13:e069938. [PMID: 37202135 PMCID: PMC10201266 DOI: 10.1136/bmjopen-2022-069938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 05/09/2023] [Indexed: 05/20/2023] Open
Abstract
OBJECTIVES To understand the perspectives of adolescents (10-19 years old), their caregivers and healthcare providers regarding factors that impact adherence to tuberculosis (TB) treatment among adolescents. DESIGN We conducted in-depth interviews using semistructured interview guides based on the World Health Organization (WHO)'s Five Dimensions of Adherence framework, which conceptualises adherence as being related to the health system, socioeconomic factors, patient, treatment and condition. We applied framework thematic analysis. SETTING Between August 2018 and May 2019, at 32 public health centres operated by the Ministry of Health in Lima, Peru. PARTICIPANTS We interviewed 34 adolescents who completed or were lost to follow-up from treatment for drug-susceptible pulmonary TB disease in the preceding 12 months; their primary caregiver during treatment; and 15 nurses or nurse technicians who had ≥6 months' experience supervising TB treatment. RESULTS Participants reported numerous treatment barriers, the most common of which were the inconvenience of health facility-based directly observed therapy (DOT), long treatment duration, adverse treatment events and symptom resolution. The support of adult caregivers was critical for helping adolescents overcome these barriers and carry out the behavioural skills (eg, coping with the large pill burden, managing adverse treatment events and incorporating treatment into daily routines) needed to adhere to treatment. CONCLUSION Our findings support a three-pronged approach to improve TB treatment adherence among adolescents: (1) reduce barriers to adherence (eg, home-based or community-based DOT in lieu of facility-based DOT, reducing pill burden and treatment duration when appropriate), (2) teach adolescents the behavioural skills required for treatment adherence and (3) strengthen caregivers' ability to support adolescents.
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Affiliation(s)
- Silvia S Chiang
- Department of Pediatrics, Division of Pediatric Infectious Diseases, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Center for International Health Research, Rhode Island Hospital, Providence, Rhode Island, USA
| | | | | | | | | | - Stephanie Roche
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Institute, Seattle, Washington, USA
| | - Julia Coit
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Leonid Lecca
- Socios En Salud Sucursal Peru, Lima, Peru
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Jerome T Galea
- Department of Social Work, University of South Florida, Tampa, Florida, USA
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Chiang SS, Waterous PM, Atieno VF, Bernays S, Bondarenko Y, Cruz AT, de Oliveira MCB, Del Castillo Barrientos H, Enimil A, Ferlazzo G, Ferrand RA, Furin J, Hoddinott G, Isaakidis P, Kranzer K, Maleche-Obimbo E, Mansoor H, Marais BJ, Mohr-Holland E, Morales M, Nguyen AP, Oliyo JO, Sant'Anna CC, Sawyer SM, Schaaf HS, Seddon JA, Sharma S, Skrahina A, Starke JR, Triasih R, Tsogt B, Welch H, Enane LA. Caring for Adolescents and Young Adults With Tuberculosis or at Risk of Tuberculosis: Consensus Statement From an International Expert Panel. J Adolesc Health 2023; 72:323-331. [PMID: 36803849 PMCID: PMC10265598 DOI: 10.1016/j.jadohealth.2022.10.036] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 10/25/2022] [Indexed: 02/19/2023]
Abstract
Background: Despite being a preventable and treatable disease, tuberculosis (TB) is a leading cause of death among young people globally. Each year, an estimated 1.8 million adolescents and young adults (AYAs; 10–24 years old) develop TB. In 2019, an estimated 161,000 AYAs died of the disease. AYAs have unique developmental, psychosocial, and healthcare needs, but these needs have been neglected in both TB care and research agendas. In order to improve outcomes in this age group, the specific needs of AYAs must be considered and addressed. Methods: Through a consensus process, an international panel of 34 clinicians, researchers, TB survivors, and advocates with expertise in child/adolescent TB and/or adolescent health proposed interventions for optimizing AYA engagement in TB care. The process consisted of reviewing the literature on TB in AYAs; identifying and discussing priority areas; and drafting and revising proposed interventions until consensus, defined a priori , was reached. Results: The panel acknowledged the dearth of evidence on best practices for identifying and managing AYAs with TB. The final consensus statement, based on expert opinion, proposes nine interventions to reform current practices that may harm AYA health and well-being, and nine interventions to establish high-quality AYA-centered TB services. Conclusion: AYA-specific interventions for TB care and research are critical for improving outcomes in this age group. In the absence of evidence on best practices, this consensus statement from an international group of experts can help address the needs of AYA with TB or at risk for TB.
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Affiliation(s)
- Silvia S Chiang
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Alpert Medical School of Brown University, Providence, Rhode Island; Center for International Health Research, Rhode Island Hospital, Providence, Rhode Island.
| | - Patricia M Waterous
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Sarah Bernays
- School of Public Health, University of Sydney, Sydney, Australia; Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Yaroslava Bondarenko
- Department of Phthisiology and Pulmonology, Bogomolets National Medical University, Kyiv, Ukraine
| | - Andrea T Cruz
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Márcia C B de Oliveira
- Department of Pediatrics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil; Department of Pediatrics, Souza Marques School of Medicine, Rio de Janeiro, Brazil
| | | | - Anthony Enimil
- Child Health Department, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Child Health Directorate, Komfo Anokye Teaching Hospital, Kumasi, Ghana
| | - Gabriella Ferlazzo
- Médecins Sans Frontières, Cape Town, South Africa; Médecins Sans Frontières, Mumbai, India
| | - Rashida Abbas Ferrand
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, United Kingdom; Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Jennifer Furin
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts; Sentinel Project on Pediatric Drug-Resistant Tuberculosis, Boston, Massachusetts
| | - Graeme Hoddinott
- Department of Paediatrics and Child Health, Desmond Tutu TB Centre, Stellenbosch University, Cape Town, South Africa
| | - Petros Isaakidis
- Médecins Sans Frontières, Cape Town, South Africa; Médecins Sans Frontières, Mumbai, India
| | - Katharina Kranzer
- School of Public Health, University of Sydney, Sydney, Australia; Biomedical Research and Training Institute, Harare, Zimbabwe
| | | | | | - Ben J Marais
- Sydney Infectious Diseases Institute (Sydney ID), University of Sydney, Sydney, Australia; Department of Infectious Diseases and Microbiology, The Children's Hospital at Westmead, Sydney, Australia
| | | | | | | | | | - Clemax Couto Sant'Anna
- Department of Pediatrics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Susan M Sawyer
- Centre for Adolescent Health, Royal Children's Hospital and Murdoch Children's Research Institute, Melbourne, Australia; Department of Peadiatrics, The University of Melbourne, Melbourne, Australia
| | - H Simon Schaaf
- Department of Paediatrics and Child Health, Desmond Tutu TB Centre, Stellenbosch University, Cape Town, South Africa
| | - James A Seddon
- Department of Paediatrics and Child Health, Desmond Tutu TB Centre, Stellenbosch University, Cape Town, South Africa; Department of Infectious Diseases, Imperial College London, London, United Kingdom
| | - Sangeeta Sharma
- Department of Paediatrics, National Institute of Tuberculosis and Respiratory Diseases, New Delhi, India
| | - Alena Skrahina
- Clinical Department, The Republican Research and Practica Centre for Pulmonology and TB, Minsk, Belarus
| | - Jeffrey R Starke
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Rina Triasih
- Department of Pediatrics, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada/Dr. Sardjito Hospital, Yogyakarta, Indonesia
| | | | - Henry Welch
- Department of Pediatrics, Souza Marques School of Medicine, Rio de Janeiro, Brazil; Department of Pediatrics, School of Medicine and Health Sciences, The University of Papua New Guinea, Port Moresby, Papua New Guinea; Port Moresby General Hospital, Port Moresby, Papua New Guinea
| | - Leslie A Enane
- Department of Pediatrics, The Ryan White Center for Pediatric Infectious Diseases and Global Health, Indiana University School of Medicine, Indianapolis, Indiana; Indiana University Center for Global Health, Indianapolis, Indiana.
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McCreesh N, Mohlamonyane M, Edwards A, Olivier S, Dikgale K, Dayi N, Gareta D, Wood R, Grant AD, White RG, Middelkoop K. Improving Estimates of Social Contact Patterns for Airborne Transmission of Respiratory Pathogens. Emerg Infect Dis 2022; 28:2016-2026. [PMID: 36048756 PMCID: PMC9514345 DOI: 10.3201/eid2810.212567] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Data on social contact patterns are widely used to parameterize age-mixing matrices in mathematical models of infectious diseases. Most studies focus on close contacts only (i.e., persons spoken with face-to-face). This focus may be appropriate for studies of droplet and short-range aerosol transmission but neglects casual or shared air contacts, who may be at risk from airborne transmission. Using data from 2 provinces in South Africa, we estimated age mixing patterns relevant for droplet transmission, nonsaturating airborne transmission, and Mycobacterium tuberculosis transmission, an airborne infection where saturation of household contacts occurs. Estimated contact patterns by age did not vary greatly between the infection types, indicating that widespread use of close contact data may not be resulting in major inaccuracies. However, contact in persons >50 years of age was lower when we considered casual contacts, and therefore the contribution of older age groups to airborne transmission may be overestimated.
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6
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Rangchaikul P, Ahn P, Nguyen M, Zhong V, Venketaraman V. Review of Pediatric Tuberculosis in the Aftermath of COVID-19. Clin Pract 2022; 12:738-754. [PMID: 36136871 PMCID: PMC9498527 DOI: 10.3390/clinpract12050077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/06/2022] [Accepted: 09/08/2022] [Indexed: 11/16/2022] Open
Abstract
In 2014, the World Health Organization developed the End Tuberculosis Strategy with the goal of a 95% reduction in deaths from tuberculosis (TB) by 2035. The start of the COVID-19 pandemic and global lockdown has had a major impact on TB awareness, screening, diagnosis, and prompt initiation of treatment, inevitably leading to a significant setback. We explore pediatric tuberculosis through the lens of the COVID-19 era, investigating how COVID-19 has impacted pediatric TB cases in different regions of the world and what the implications are for management moving forward to mitigate these effects. Furthermore, in light of recent findings showing how exposed infants and children are at higher risk than we thought of contracting the disease, greater attention and resources are needed to prevent further downward trends.
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McCreesh N, Karat AS, Govender I, Baisley K, Diaconu K, Yates TA, Houben RM, Kielmann K, Grant AD, White R. Estimating the contribution of transmission in primary healthcare clinics to community-wide TB disease incidence, and the impact of infection prevention and control interventions, in KwaZulu-Natal, South Africa. BMJ Glob Health 2022; 7:bmjgh-2021-007136. [PMID: 35396264 PMCID: PMC8995945 DOI: 10.1136/bmjgh-2021-007136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 03/20/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND There is a high risk of Mycobacterium tuberculosis (Mtb) transmission in healthcare facilities in high burden settings. WHO guidelines on tuberculosis (TB) infection prevention and control (IPC) recommend a range of measures to reduce transmission in healthcare settings. These were evaluated primarily based on evidence for their effects on transmission to healthcare workers in hospitals. To estimate the overall impact of IPC interventions, it is necessary to also consider their impact on community-wide TB incidence and mortality. METHODS We developed an individual-based model of Mtb transmission in households, primary healthcare (PHC) clinics, and all other congregate settings. The model was parameterised using data from a high HIV prevalence community in South Africa, including data on social contact by setting, by sex, age, and HIV/antiretroviral therapy status; and data on TB prevalence in clinic attendees and the general population. We estimated the proportion of disease in adults that resulted from transmission in PHC clinics, and the impact of a range of IPC interventions in clinics on community-wide TB. RESULTS We estimate that 7.6% (plausible range 3.9%-13.9%) of non-multidrug resistant and multidrug resistant TB in adults resulted directly from transmission in PHC clinics in the community in 2019. The proportion is higher in HIV-positive people, at 9.3% (4.8%-16.8%), compared with 5.3% (2.7%-10.1%) in HIV-negative people. We estimate that IPC interventions could reduce incident TB cases in the community in 2021-2030 by 3.4%-8.0%, and deaths by 3.0%-7.2%. CONCLUSIONS A non-trivial proportion of TB results from transmission in clinics in the study community, particularly in HIV-positive people. Implementing IPC interventions could lead to moderate reductions in disease burden. We recommend that IPC measures in clinics should be implemented for their benefits to staff and patients, but also for their likely effects on TB incidence and mortality in the surrounding community.
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Affiliation(s)
- Nicky McCreesh
- TB Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - Aaron S Karat
- TB Centre, London School of Hygiene and Tropical Medicine, London, UK.,The Institute for Global Health and Development, Queen Margaret University, Musselburgh, UK
| | - Indira Govender
- TB Centre, London School of Hygiene and Tropical Medicine, London, UK.,Africa Health Research Institute, School of Laboratory Medicine & Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - Kathy Baisley
- TB Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - Karin Diaconu
- The Institute for Global Health and Development, Queen Margaret University, Musselburgh, UK
| | - Tom A Yates
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Rein Mgj Houben
- TB Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - Karina Kielmann
- The Institute for Global Health and Development, Queen Margaret University, Musselburgh, UK
| | - Alison D Grant
- TB Centre, London School of Hygiene and Tropical Medicine, London, UK.,Africa Health Research Institute, School of Laboratory Medicine & Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.,School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Richard White
- TB Centre, London School of Hygiene and Tropical Medicine, London, UK
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Bunyasi EW, Middelkoop K, Koch A, Hoosen Z, Mulenga H, Luabeya AKK, Shenje J, Mendelsohn SC, Tameris M, Scriba TJ, Warner DF, Wood R, Andrews JR, Hatherill M. Molecular Detection of Airborne Mycobacterium tuberculosis in South African High Schools. Am J Respir Crit Care Med 2022; 205:350-356. [PMID: 34752730 PMCID: PMC8886998 DOI: 10.1164/rccm.202102-0405oc] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Rationale: South African adolescents carry a high tuberculosis disease burden. It is not known if schools are high-risk settings for Mycobacterium tuberculosis (MTB) transmission. Objectives: To detect airborne MTB genomic DNA in classrooms. Methods: We studied 72 classrooms occupied by 2,262 students in two South African schools. High-volume air filtration was performed for median 40 (interquartile range [IQR], 35-54) minutes and assayed by droplet digital PCR (ddPCR)-targeting MTB region of difference 9 (RD9), with concurrent CO2 concentration measurement. Classroom data were benchmarked against public health clinics. Students who consented to individual tuberculosis screening completed a questionnaire and sputum collection (Xpert MTB/RIF Ultra) if symptom positive. Poisson statistics were used for MTB RD9 copy quantification. Measurements and Main Results: ddPCR assays were positive in 13/72 (18.1%) classrooms and 4/39 (10.3%) clinic measurements (P = 0.276). Median ambient CO2 concentration was 886 (IQR, 747-1223) ppm in classrooms versus 490 (IQR, 405-587) ppm in clinics (P < 0.001). Average airborne concentration of MTB RD9 was 3.61 copies per 180,000 liters in classrooms versus 1.74 copies per 180,000 liters in clinics (P = 0.280). Across all classrooms, the average risk of an occupant inhaling one MTB RD9 copy was estimated as 0.71% during one standard lesson of 35 minutes. Among 1,836/2,262 (81.2%) students who consented to screening, 21/90 (23.3%) symptomatic students produced a sputum sample, of which one was Xpert MTB/RIF Ultra positive. Conclusions: Airborne MTB genomic DNA was detected frequently in high school classrooms. Instantaneous risk of classroom exposure was similar to the risk in public health clinics.
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Affiliation(s)
- Erick W. Bunyasi
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine,,Department of Pathology
| | | | - Anastasia Koch
- SAMRC/NHLS/UCT Molecular Mycobacteriology Research Unit, Institute of Infectious Disease and Molecular Medicine, and
| | | | - Humphrey Mulenga
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine,,Department of Pathology
| | - Angelique K. K. Luabeya
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine,,Department of Pathology
| | - Justin Shenje
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine,,Department of Pathology
| | - Simon C. Mendelsohn
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine,,Department of Pathology
| | - Michele Tameris
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine,,Department of Pathology
| | - Thomas J. Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine,,Department of Pathology
| | - Digby F. Warner
- SAMRC/NHLS/UCT Molecular Mycobacteriology Research Unit, Institute of Infectious Disease and Molecular Medicine, and,Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), University of Cape Town, Cape Town, South Africa; and
| | | | - Jason R. Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, California
| | - Mark Hatherill
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine,,Department of Pathology
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9
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Murray EJ, Dodd PJ, Marais B, Ayles H, Shanaube K, Schaap A, White RG, Bond V. Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia. BMJ Open 2021; 11:e047136. [PMID: 34907038 PMCID: PMC8671921 DOI: 10.1136/bmjopen-2020-047136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES Selected Zambian communities formed part of a cluster randomised trial: the Zambia and South Africa TB and AIDS Reduction study (ZAMSTAR). There was wide variability in the prevalence of Mycobacterium tuberculosis infection and tuberculosis (TB) disease across these communities. We sought to clarify whether specific communities could have been more/less vulnerable to M. tuberculosis transmission as a result of sociological variety relevant to transmission efficiency. DESIGN We conducted a mixed methods secondary analysis using existing data sets. First, we analysed qualitative data to categorise and synthesise patterns of socio-spatial engagement across communities. Second, we compared emergent sociological variables with a measure of transmission efficiency: the ratio of the annual risk of infection to TB prevalence. SETTING ZAMSTAR communities in urban and peri-urban Zambia, spanning five provinces. PARTICIPANTS Fifteen communities, each served by a health facility offering TB treatment to a population of at least 25 000. TB notification rates were at least 400 per 100 000 per annum and HIV seroprevalence was estimated to be high. RESULTS Crowding, movement, livelihoods and participation in recreational activity differed across communities. Based on 12 socio-spatial indicators, communities were qualitatively classified as more/less spatially crowded and as more/less socially 'open' to contact with others, with implications for the presumptive risk of M. tuberculosis transmission. For example, watching video shows in poorly ventilated structures posed a presumptive risk in more socially open communities, while outdoor farming and/or fishing were particularly widespread in communities with lower transmission measures. CONCLUSIONS A dual dynamic of 'social permeability' and crowding appeared relevant to disparities in M. tuberculosis transmission efficiency. To reduce transmission, certain socio-spatial aspects could be adjusted (eg, increasing ventilation on transport), while more structural aspects are less malleable (eg, reliance on public transport). We recommend integrating community level typologies with genome sequencing techniques to further explore the significance of 'social permeability'. TRIAL REGISTRATION NUMBER ISRCTN36729271.
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Affiliation(s)
| | - Peter J Dodd
- School of Health and Related Research, The University of Sheffield, Sheffield, UK
| | - Ben Marais
- Children's Hospital Westmead Clinical School, The University of Sydney, Westmead, New South Wales, Australia
| | - Helen Ayles
- Clinical Research Department, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
- Zambart, School of Public Health, University of Zambia, Lusaka, Zambia
| | - Kwame Shanaube
- Zambart, School of Public Health, University of Zambia, Lusaka, Zambia
| | - Albertus Schaap
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Richard G White
- TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Virginia Bond
- Zambart, School of Public Health, University of Zambia, Lusaka, Zambia
- Department of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
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10
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Mousa A, Winskill P, Watson OJ, Ratmann O, Monod M, Ajelli M, Diallo A, Dodd PJ, Grijalva CG, Kiti MC, Krishnan A, Kumar R, Kumar S, Kwok KO, Lanata CF, le Polain de Waroux O, Leung K, Mahikul W, Melegaro A, Morrow CD, Mossong J, Neal EF, Nokes DJ, Pan-Ngum W, Potter GE, Russell FM, Saha S, Sugimoto JD, Wei WI, Wood RR, Wu J, Zhang J, Walker P, Whittaker C. Social contact patterns and implications for infectious disease transmission: a systematic review and meta-analysis of contact surveys. eLife 2021; 10:70294. [PMID: 34821551 PMCID: PMC8765757 DOI: 10.7554/elife.70294] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 11/24/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Transmission of respiratory pathogens such as SARS-CoV-2 depends on patterns of contact and mixing across populations. Understanding this is crucial to predict pathogen spread and the effectiveness of control efforts. Most analyses of contact patterns to date have focused on high-income settings. Methods: Here, we conduct a systematic review and individual-participant meta-analysis of surveys carried out in low- and middle-income countries and compare patterns of contact in these settings to surveys previously carried out in high-income countries. Using individual-level data from 28,503 participants and 413,069 contacts across 27 surveys, we explored how contact characteristics (number, location, duration, and whether physical) vary across income settings. Results: Contact rates declined with age in high- and upper-middle-income settings, but not in low-income settings, where adults aged 65+ made similar numbers of contacts as younger individuals and mixed with all age groups. Across all settings, increasing household size was a key determinant of contact frequency and characteristics, with low-income settings characterised by the largest, most intergenerational households. A higher proportion of contacts were made at home in low-income settings, and work/school contacts were more frequent in high-income strata. We also observed contrasting effects of gender across income strata on the frequency, duration, and type of contacts individuals made. Conclusions: These differences in contact patterns between settings have material consequences for both spread of respiratory pathogens and the effectiveness of different non-pharmaceutical interventions. Funding: This work is primarily being funded by joint Centre funding from the UK Medical Research Council and DFID (MR/R015600/1). Infectious diseases, particularly those caused by airborne pathogens like SARS-CoV-2, spread by social contact, and understanding how people mix is critical in controlling outbreaks. To explore these patterns, researchers typically carry out large contact surveys. Participants are asked for personal information (such as gender, age and occupation), as well as details of recent social contacts, usually those that happened in the last 24 hours. This information includes, the age and gender of the contact, where the interaction happened, how long it lasted, and whether it involved physical touch. These kinds of surveys help scientists to predict how infectious diseases might spread. But there is a problem: most of the data come from high-income countries, and there is evidence to suggest that social contact patterns differ between places. Therefore, data from these countries might not be useful for predicting how infections spread in lower-income regions. Here, Mousa et al. have collected and combined data from 27 contact surveys carried out before the COVID-19 pandemic to see how baseline social interactions vary between high- and lower-income settings. The comparison revealed that, in higher-income countries, the number of daily contacts people made decreased with age. But, in lower-income countries, younger and older individuals made similar numbers of contacts and mixed with all age groups. In higher-income countries, more contacts happened at work or school, while in low-income settings, more interactions happened at home and people were also more likely to live in larger, intergenerational households. Mousa et al. also found that gender affected how long contacts lasted and whether they involved physical contact, both of which are key risk factors for transmitting airborne pathogens. These findings can help researchers to predict how infectious diseases might spread in different settings. They can also be used to assess how effective non-medical restrictions, like shielding of the elderly and workplace closures, will be at reducing transmissions in different parts of the world.
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Affiliation(s)
- Andria Mousa
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom
| | - Peter Winskill
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom
| | - Oliver John Watson
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom
| | - Oliver Ratmann
- Department of Mathematics, Imperial College London, London, United Kingdom
| | - Mélodie Monod
- Department of Mathematics, Imperial College London, London, United Kingdom
| | - Marco Ajelli
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, United States
| | - Aldiouma Diallo
- VITROME, Institut de Recherche pour le Developpement, Dakar, Senegal
| | - Peter J Dodd
- School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom
| | - Carlos G Grijalva
- Division of Pharmacoepidemiology, Department of Health Policy, Vanderbilt University Medical Center, Nashville, United States
| | | | - Anand Krishnan
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Rakesh Kumar
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Supriya Kumar
- Bill and Melinda Gates Foundation, Seattle, WA, United States
| | - Kin O Kwok
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | | | | | - Kathy Leung
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Wiriya Mahikul
- Faculty of Medicine and Public Health, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand
| | - Alessia Melegaro
- Dondena Centre for Research on Social Dynamics and Public Policy, Department of Social and Political Sciences, Bocconi University, Milano, Italy
| | - Carl D Morrow
- Desmond Tutu HIV Centre, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Eleanor Fg Neal
- Infection and Immunity, Murdoch Children's Research Institute, Victoria, Australia
| | - D James Nokes
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Gail E Potter
- National Institute for Allergies and Infectious Diseases, National Institutes of Health, Rockville, United States
| | - Fiona M Russell
- Infection and Immunity, Murdoch Children's Research Institute, Victoria, Australia
| | - Siddhartha Saha
- US Centers for Disease Control and Prevention, New Delhi, India
| | - Jonathan D Sugimoto
- Seattle Epidemiologic Research and Information Center, United States Department of Veterans Affairs, Seattle, United States
| | - Wan In Wei
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Robin R Wood
- Desmond Tutu HIV Centre, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Joseph Wu
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Juanjuan Zhang
- School of Public Health, Fudan University, Shanghai, China
| | - Patrick Walker
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom
| | - Charles Whittaker
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom
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11
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Laycock KM, Enane LA, Steenhoff AP. Tuberculosis in Adolescents and Young Adults: Emerging Data on TB Transmission and Prevention among Vulnerable Young People. Trop Med Infect Dis 2021; 6:148. [PMID: 34449722 PMCID: PMC8396328 DOI: 10.3390/tropicalmed6030148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/30/2021] [Accepted: 07/31/2021] [Indexed: 02/01/2023] Open
Abstract
Adolescents and young adults (AYA, ages 10-24 years) comprise a uniquely important but understudied population in global efforts to end tuberculosis (TB), the leading infectious cause of death by a single agent worldwide prior to the COVID-19 pandemic. While TB prevention and care strategies often overlook AYA by grouping them with either children or adults, AYA have particular physiologic, developmental, and social characteristics that require dedicated approaches. This review describes current evidence on the prevention and control of TB among AYA, including approaches to TB screening, dynamics of TB transmission among AYA, and management challenges within the context of unique developmental needs. Challenges are considered for vulnerable groups of AYA such as migrants and refugees; AYA experiencing homelessness, incarceration, or substance use; and AYA living with HIV. We outline areas for needed research and implementation strategies to address TB among AYA globally.
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Affiliation(s)
- Katherine M. Laycock
- Division of Infectious Diseases, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA;
| | - Leslie A. Enane
- The Ryan White Center for Pediatric Infectious Disease and Global Health, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA;
| | - Andrew P. Steenhoff
- Division of Infectious Diseases, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA;
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Global Health Center, Children’s Hospital of Philadelphia, Philadelphia, PA 19146, USA
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12
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Baik Y, Hanrahan CF, Mmolawa L, Nonyane BAS, Albaugh NW, Lebina L, Siwelana T, Martinson N, Dowdy DW. Conditional cash transfers to incentivize tuberculosis screening: Description of a novel strategy for contact investigation in rural South Africa. Clin Infect Dis 2021; 74:957-964. [PMID: 34212181 PMCID: PMC8946721 DOI: 10.1093/cid/ciab601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Providing incentives to screen close contacts for tuberculosis (TB) is an alternative to traditional household-based contact investigation. We aimed to characterize patients and contexts for which this incentive-based strategy might be preferred. METHODS This is a secondary analysis of a cluster randomized trial of TB contact investigation in Limpopo District, South Africa, conducted between 2016-2020. Twenty-eight clinics were randomly allocated to household-based versus incentive-based contact investigation. In the incentive-based arm, index participants and contacts received transport reimbursement and incentives for TB screening and microbiological diagnosis of contacts. We estimated the absolute difference in mean number of contacts per index participant with household-based versus incentive-based contact investigation, overall and within sub-groups of index participants. RESULTS A total of 3776 contacts (1903 in the incentive-based and 1873 in the household-based arm) were referred by 2501 index participants. A higher proportion of contacts in the incentive-based than household-based arm were adults (72% vs 59%) and reported chronic TB symptoms (25% vs 16%) or ever smoking (23% vs 11%). Index participants who walked or bicycled to clinic referred 1.03 more contacts per index (95%CI:0.48-1.57) through incentive-based than household-based investigation. Index participants living with >5 household members referred 0.48 more contacts per index (95%CI:0.03-0.94) through household-based than incentive-based investigation. CONCLUSIONS Relative to household-based contact investigation, incentive-based investigation identifies contacts who appear to be at higher risk for active TB. Incentive-based investigation may be more appropriate for index participants who can easily access the clinic, whereas household-based investigation should be prioritized for patients with large households.
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Affiliation(s)
- Yeonsoo Baik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Colleen F Hanrahan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Lesego Mmolawa
- Perinatal HIV Research Unit (PHRU), University of the Witwatersrand, Johannesburg, South Africa
| | - Bareng A S Nonyane
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Nicholas W Albaugh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Limakatso Lebina
- Perinatal HIV Research Unit (PHRU), University of the Witwatersrand, Johannesburg, South Africa
| | - Tsundzukani Siwelana
- Perinatal HIV Research Unit (PHRU), University of the Witwatersrand, Johannesburg, South Africa
| | - Neil Martinson
- Perinatal HIV Research Unit (PHRU), University of the Witwatersrand, Johannesburg, South Africa
| | - David W Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
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13
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Mousa A, Winskill P, Watson OJ, Ratmann O, Monod M, Ajelli M, Diallo A, Dodd PJ, Grijalva CG, Kiti MC, Krishnan A, Kumar R, Kumar S, Kwok KO, Lanata CF, Le Polain de Waroux O, Leung K, Mahikul W, Melegaro A, Morrow CD, Mossong J, Neal EFG, Nokes DJ, Pan-ngum W, Potter GE, Russell FM, Saha S, Sugimoto JD, Wei WI, Wood RR, Wu JT, Zhang J, Walker PGT, Whittaker C. Social Contact Patterns and Implications for Infectious Disease Transmission: A Systematic Review and Meta-Analysis of Contact Surveys. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2021.06.10.21258720. [PMID: 34159341 PMCID: PMC8219108 DOI: 10.1101/2021.06.10.21258720] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Transmission of respiratory pathogens such as SARS-CoV-2 depends on patterns of contact and mixing across populations. Understanding this is crucial to predict pathogen spread and the effectiveness of control efforts. Most analyses of contact patterns to date have focussed on high-income settings. METHODS Here, we conduct a systematic review and individual-participant meta-analysis of surveys carried out in low- and middle-income countries and compare patterns of contact in these settings to surveys previously carried out in high-income countries. Using individual-level data from 28,503 participants and 413,069 contacts across 27 surveys we explored how contact characteristics (number, location, duration and whether physical) vary across income settings. RESULTS Contact rates declined with age in high- and upper-middle-income settings, but not in low-income settings, where adults aged 65+ made similar numbers of contacts as younger individuals and mixed with all age-groups. Across all settings, increasing household size was a key determinant of contact frequency and characteristics, but low-income settings were characterised by the largest, most intergenerational households. A higher proportion of contacts were made at home in low-income settings, and work/school contacts were more frequent in high-income strata. We also observed contrasting effects of gender across income-strata on the frequency, duration and type of contacts individuals made. CONCLUSIONS These differences in contact patterns between settings have material consequences for both spread of respiratory pathogens, as well as the effectiveness of different non-pharmaceutical interventions. FUNDING This work is primarily being funded by joint Centre funding from the UK Medical Research Council and DFID (MR/R015600/1).
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Affiliation(s)
- Andria Mousa
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Peter Winskill
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Oliver J Watson
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Oliver Ratmann
- Department of Mathematics, Imperial College London, London, UK
| | - Mélodie Monod
- Department of Mathematics, Imperial College London, London, UK
| | - Marco Ajelli
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
- Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA
| | - Aldiouma Diallo
- VITROME, Institut de Recherche pour le Developpement, Senegal
| | - Peter J Dodd
- School of Health and Related Research, University of Sheffield, UK
| | - Carlos G Grijalva
- Division of Pharmacoepidemiology, Department of Health Policy. Vanderbilt University Medical Center. Nashville, TN, USA
| | | | - Anand Krishnan
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Rakesh Kumar
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | | | - Kin On Kwok
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Shenzhen Research Institute of The Chinese University of Hong Kong, Shenzhen, China
| | - Claudio F Lanata
- Instituto de Investigación Nutricional, Lima, Peru
- Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | | | - Kathy Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, New Territories, Hong Kong SAR, China
| | - Wiriya Mahikul
- Faculty of Medicine and Public Health, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok 10210, Thailand
| | - Alessia Melegaro
- Dondena Centre for Research on Social Dynamics and Public Policy, Department of Social and Political Sciences, Bocconi University, Milan, Italy
| | - Carl D Morrow
- Desmond Tutu HIV Centre, Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa
- Centre for Infectious Disease Epidemiology and Research (CIDER), School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town South Africa
| | | | - Eleanor FG Neal
- Infection & Immunity, Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - David J Nokes
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- School of Life Sciences, University of Warwick, Coventry UK
| | - Wirichada Pan-ngum
- Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Gail E Potter
- National Institute for Allergies and Infectious Diseases, National Institutes of Health, Rockville MD, USA
- The Emmes Company, Rockville MD, USA
| | - Fiona M Russell
- Infection & Immunity, Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Siddhartha Saha
- Influenza Programme, US Centers for Disease Control and Prevention, India Office, US Embassy, New Delhi
| | - Jonathan D Sugimoto
- Seattle Epidemiologic Research and Information Center, Cooperative Studies Program, Office of Research and Development, United States Department of Veterans Affairs, USA
- Department of Epidemiology, University of Washington, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Wan In Wei
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Robin R Wood
- Desmond Tutu HIV Centre, Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa
| | - Joseph T Wu
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, New Territories, Hong Kong SAR, China
| | - Juanjuan Zhang
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Patrick GT Walker
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Charles Whittaker
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
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14
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Chimoyi LA, Lienhardt C, Moodley N, Shete P, Churchyard GJ, Charalambous S. Estimating the yield of tuberculosis from key populations to inform targeted interventions in South Africa: a scoping review. BMJ Glob Health 2020; 5:bmjgh-2020-002355. [PMID: 32636313 PMCID: PMC7342464 DOI: 10.1136/bmjgh-2020-002355] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 04/24/2020] [Accepted: 05/18/2020] [Indexed: 11/20/2022] Open
Abstract
Introduction Tuberculosis (TB) case finding strategies are recommended to increase yield for TB in key populations. Several key populations are identified in the literature, but techniques for estimating yield and prioritising interventions are needed. Methods We conducted a scoping review of existing evidence on TB burden to assess contribution of key populations to the TB epidemic in South Africa. Reports, articles and conference abstracts from January 2000 to December 2016 were reviewed to determine TB incidence, prevalence and size of key populations in South Africa. Meta-analysis summarised prevalence and incidence rates of TB in selected key populations assessed for heterogeneity. TB risk was calculated for each key population. Number needed to screen (NNS) to diagnose one case of TB disease was computed. Population attributable fraction estimated the potential impact of interventions on TB cases per population. Results The search yielded 140 citations, of which 49 were included in the review and a final 32 were included in the meta-analysis. A high prevalence of TB disease was observed in HIV-infected patients with an estimated effect size (ES=0.25, 95% CI 0.20 to 0.30). Heterogeneity was high in this population (I2=94.8%, p value=0.000). The highest incidence rate of TB disease was observed in the HIV-infected population (ES=6.07, 95% CI 4.90 to 7.51). The risk of TB disease in South Africa was high in informal settlements (RR=5.8), HIV-infected (RR=5.4) and inmates (RR=5.0). Most cases of TB would be found in inmates (NNS=26) and household contacts of patients with TB (NNS=25). A larger impact would be observed if interventions are directed towards inmates (31%), people living with HIV (PLHIV (37%) and informal settlements (43%). Conclusions Our findings illustrate the of value using available epidemiological evidence to inform targeted TB interventions. This review suggests that targeting interventions towards inmates, PLHIV and informal settlements would have a bigger impact on TB burden in South Africa.
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Affiliation(s)
| | | | | | - Priya Shete
- Global Tuberculosis Program, World Health Organisation, Geneva, Switzerland
| | - Gavin J Churchyard
- The Aurum Institute, Johannesburg, South Africa.,Department of Infectious Disease, London School of Hygiene and Tropical Medicine, London, United Kingdo
| | - Salome Charalambous
- The Aurum Institute, Johannesburg, South Africa.,School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
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15
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Castellanos ME, Zalwango S, Kakaire R, Ebell MH, Dobbin KK, Sekandi J, Kiwanuka N, Whalen CC. Defining adequate contact for transmission of Mycobacterium tuberculosis in an African urban environment. BMC Public Health 2020; 20:892. [PMID: 32517672 PMCID: PMC7285782 DOI: 10.1186/s12889-020-08998-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 05/27/2020] [Indexed: 01/25/2023] Open
Abstract
Background The risk of infection from respiratory pathogens increases according to the contact rate between the infectious case and susceptible contact, but the definition of adequate contact for transmission is not standard. In this study we aimed to identify factors that can explain the level of contact between tuberculosis cases and their social networks in an African urban environment. Methods This was a cross-sectional study conducted in Kampala, Uganda from 2013 to 2017. We carried out an exploratory factor analysis (EFA) in social network data from tuberculosis cases and their contacts. We evaluated the factorability of the data to EFA using the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO). We used principal axis factoring with oblique rotation to extract and rotate the factors, then we calculated factor scores for each using the weighted sum scores method. We assessed construct validity of the factors by associating the factors with other variables related to social mixing. Results Tuberculosis cases (N = 120) listed their encounters with 1154 members of their social networks. Two factors were identified, the first named “Setting” captured 61% of the variance whereas the second, named ‘Relationship’ captured 21%. Median scores for the setting and relationship factors were 10.2 (IQR 7.0, 13.6) and 7.7 (IQR 6.4, 10.1) respectively. Setting and Relationship scores varied according to the age, gender, and nature of the relationship among tuberculosis cases and their contacts. Family members had a higher median setting score (13.8, IQR 11.6, 15.7) than non-family members (7.2, IQR 6.2, 9.4). The median relationship score in family members (9.9, IQR 7.6, 11.5) was also higher than in non-family members (6.9, IQR 5.6, 8.1). For both factors, household contacts had higher scores than extra-household contacts (p < .0001). Contacts of male cases had a lower setting score as opposed to contacts of female cases. In contrast, contacts of male and female cases had similar relationship scores. Conclusions In this large cross-sectional study from an urban African setting, we identified two factors that can assess adequate contact between tuberculosis cases and their social network members. These findings also confirm the complexity and heterogeneity of social mixing.
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Affiliation(s)
- María Eugenia Castellanos
- Global Health Institute, College of Public Health, University of Georgia, Athens, Georgia. .,Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia.
| | - Sarah Zalwango
- College of Health Sciences, School of Public Health, Makerere University, Kampala, Uganda
| | - Robert Kakaire
- Global Health Institute, College of Public Health, University of Georgia, Athens, Georgia.,Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia
| | - Mark H Ebell
- Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia
| | - Kevin K Dobbin
- Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia
| | - Juliet Sekandi
- Global Health Institute, College of Public Health, University of Georgia, Athens, Georgia.,Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia
| | - Noah Kiwanuka
- College of Health Sciences, School of Public Health, Makerere University, Kampala, Uganda
| | - Christopher C Whalen
- Global Health Institute, College of Public Health, University of Georgia, Athens, Georgia.,Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia
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16
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Hadebe S, Chengalroyen M, Guler R, Nakedi K, Koch A, Makatsa M, Shey M, Parihar SP, Bryson B, Marakalala MJ, Ndlovu H. Intervening along the spectrum of tuberculosis: meeting report from the World TB Day nanosymposium in the Institute of Infectious Disease and Molecular Medicine at the University of Cape Town. Gates Open Res 2020; 3:1491. [PMID: 32478309 PMCID: PMC7241047 DOI: 10.12688/gatesopenres.13035.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/21/2020] [Indexed: 11/20/2022] Open
Abstract
Tuberculosis (TB), caused by the highly infectious Mycobacterium tuberculosis, remains a leading cause of death worldwide, with an estimated 1.6 million associated deaths reported in 2017. In South Africa, an estimated 322,000 (range 230,000-428,000) people were infected with TB in 2017, and a quarter of them lost their lives due to the disease. Bacille Calmette-Guérin (BCG) remains the only effective vaccine against disseminated TB, but its inability to confer complete protection against pulmonary TB in adolescents and adults calls for an urgent need to develop new and better vaccines. There is also a need to identify markers of disease protection and develop novel drugs. It is within this backdrop that we convened a nanosymposium at the Institute of Infectious Disease and Molecular Medicine at the University of Cape Town to commemorate World TB Day and showcase recent findings generated by early career scientists in the institute. The speakers spoke on four broad topics: identification of novel drug targets, development of host-directed drug therapies, transmission of TB and immunology of TB/HIV co-infections.
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Affiliation(s)
- Sabelo Hadebe
- Division of Immunology and South African Medical Research Council (SAMRC) Immunology of Infectious Diseases, Department of Pathology, Faculty of Health Sciences, Institute of Infectious Diseases and Molecular Medicine (IDM), Cape Town, Westen Cape, 7925, South Africa
| | - Melissa Chengalroyen
- SAMRC/NHLS/UCT Molecular Mycobacteriology Research Unit, Molecular Mycobacteriology unit, Division of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine based (IDM), University of Cape Town, Cape Town, Western Cape, 7925, South Africa
| | - Reto Guler
- Division of Immunology and South African Medical Research Council (SAMRC) Immunology of Infectious Diseases, Department of Pathology, Faculty of Health Sciences, Institute of Infectious Diseases and Molecular Medicine (IDM), Cape Town, Westen Cape, 7925, South Africa.,Department of Pathology, Faculty of Health Sciences, University of Cape Town, International Centre for Genetic Engineering and Biotechnology (ICGEB), Cape Town Component, Cape Town, Westen Cape, 7925, South Africa.,Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Diseases and Molecular Medicine (IDM) & Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, 7925, South Africa
| | - Kehilwe Nakedi
- Division of Chemical and Systems Biology, Department of Integrative Biomedical Sciences, Faculty of Health Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, Western Cape, 7925, South Africa
| | - Anastasia Koch
- SAMRC/NHLS/UCT Molecular Mycobacteriology Research Unit, Molecular Mycobacteriology unit, Division of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine based (IDM), University of Cape Town, Cape Town, Western Cape, 7925, South Africa
| | - Mohau Makatsa
- Division of Medical Virology, Department of Pathology, Faculty of Health Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, Westen Cape, 7925, South Africa
| | - Muki Shey
- Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Diseases and Molecular Medicine (IDM) & Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, 7925, South Africa
| | - Suraj P Parihar
- Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Diseases and Molecular Medicine (IDM) & Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, 7925, South Africa
| | - Bryan Bryson
- MIT Biological Engineering, Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, MA 02142, USA
| | - Mohlopheni J Marakalala
- Africa Health Research Institute, South Africa, Durban, KwaZulu Natal, South Africa.,Division of Infection and Immunity, University College London, London, South Africa
| | - Hlumani Ndlovu
- Division of Chemical and Systems Biology, Department of Integrative Biomedical Sciences, Faculty of Health Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, Western Cape, 7925, South Africa
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17
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Hadebe S, Chengalroyen M, Guler R, Nakedi K, Koch A, Makatsa M, Shey M, Parihar SP, Bryson B, Marakalala MJ, Ndlovu H. Intervening along the spectrum of tuberculosis: meeting report from the World TB Day nanosymposium in the Institute of Infectious Disease and Molecular Medicine at the University of Cape Town. Gates Open Res 2019; 3:1491. [DOI: 10.12688/gatesopenres.13035.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/07/2019] [Indexed: 11/20/2022] Open
Abstract
Tuberculosis (TB), caused by the highly infectious Mycobacterium tuberculosis, remains a leading cause of death worldwide, with an estimated 1.6 million associated deaths reported in 2017. In South Africa, an estimated 322,000 (range 230,000-428,000) people were infected with TB in 2017, and a quarter of them lost their lives due to the disease. Bacille Calmette-Guérin (BCG) remains the only effective vaccine against disseminated TB, but its inability to confer complete protection against pulmonary TB in adolescents and adults calls for an urgent need to develop new and better vaccines. There is also a need to identify markers of disease protection and develop novel drugs. It is within this backdrop that we convened a nanosymposium at the Institute of Infectious Disease and Molecular Medicine at the University of Cape Town to commemorate World TB Day and showcase recent findings generated by early career scientists in the institute. The speakers spoke on four broad topics: identification of novel drug targets, development of host-directed drug therapies, transmission of TB and immunology of TB/HIV co-infections.
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18
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Hadebe S, Chengalroyen M, Guler R, Nakedi K, Koch A, Makatsa M, Shey M, Parihar SP, Bryson B, Marakalala MJ, Ndlovu H. Intervening along the spectrum of tuberculosis: meeting report from the World TB Day nanosymposium in the Institute of Infectious Disease and Molecular Medicine at the University of Cape Town. Gates Open Res 2019; 3:1491. [DOI: 10.12688/gatesopenres.13035.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/23/2019] [Indexed: 11/20/2022] Open
Abstract
Tuberculosis (TB), caused by the highly infectious Mycobacteriumtuberculosis, remains a leading cause of death worldwide, with an estimated 1.6 million associated deaths reported in 2017. In South Africa, an estimated 322,000 people were infected with TB in 2017, and a quarter of them lost their lives due to the disease. Bacille Calmette-Guérin (BCG) remains the only effective vaccine against disseminated TB, but its inability to confer complete protection against pulmonary TB in adolescents and adults calls for an urgent need to develop new and better vaccines. There is also a need to identify markers of disease protection and develop novel drugs. On March 25th 2019, the Institute of Infectious Disease and Molecular Medicine at the University of Cape Town hosted the second annual World TB Day nanosymposium. The theme of the nanosymposium was “Intervening across the spectrum of TB II” and the goal was to commemorate World TB Day by showcasing research insights shared by early-career scientists and researchers in the field. The speakers spoke on four broad topics: identification of novel drug targets, development of host-directed drug therapies, transmission of TB and immunology of TB/HIV co-infections. Assistant Professor Bryan Bryson gave a highly interesting keynote address that showcased the application of engineering tools to answer fundamental biological questions, particularly in the context of TB.
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19
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Hadebe S, Chengalroyen M, Guler R, Nakedi K, Koch A, Makatsa M, Shey M, Parihar SP, Bryson B, Marakalala MJ, Ndlovu H. Intervening along the spectrum of tuberculosis: meeting report from the World TB Day nanosymposium in the Institute of Infectious Disease and Molecular Medicine at the University of Cape Town. Gates Open Res 2019; 3:1491. [DOI: 10.12688/gatesopenres.13035.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2019] [Indexed: 11/20/2022] Open
Abstract
Tuberculosis, caused by the highly infectious Mycobacterium tuberculosis, remains a leading cause of death worldwide, with an estimated 1.6 million associated deaths reported in 2017. In South Africa, an estimated 322,000 people were infected with TB in 2017, and a quarter of them lost their lives due to the disease. Bacille Calmette-Guérin remains the only effective vaccine against disseminated TB, but its inability to confer complete protection against pulmonary TB in adolescents and adults calls for an urgent need to develop new and better vaccines. There is also a need to identify markers of disease protection and develop novel drugs. On March 25th 2019, the Institute of Infectious Disease and Molecular Medicine at the University of Cape Town hosted the second annual World TB Day nanosymposium. The theme of the nanosymposium was “Intervening across the spectrum of TB II” and the goal was to commemorate World TB Day by showcasing research insights shared by early-career scientists and researchers in the field. The speakers spoke on four broad topics: identification of novel drug targets, development of host-directed drug therapies, transmission of tuberculosis and immunology of TB/HIV co-infections. Assistant Professor Bryan Bryson gave a highly interesting keynote address that showcased the application of engineering tools to answer fundamental biological questions, particularly in the context of tuberculosis.
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20
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Smith CM, Lessells R, Grant AD, Herbst K, Tanser F. Spatial clustering of drug-resistant tuberculosis in Hlabisa subdistrict, KwaZulu-Natal, 2011-2015. Int J Tuberc Lung Dis 2019; 22:287-293. [PMID: 29471906 PMCID: PMC7325217 DOI: 10.5588/ijtld.17.0457] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
SETTING: Incidence rates of tuberculosis (TB) in South Africa are among the highest in the world, and drug resistance is a major concern. Understanding geographic variations in disease may guide targeted interventions. OBJECTIVE: To characterise the spatial distribution of drug-resistant TB (DR-TB) in a rural area of KwaZulu-Natal, South Africa, and to test for clustering. DESIGN: This was a cross-sectional analysis of DR-TB patients managed at a rural district hospital from 2011 to 2015. We mapped all patients in hospital data to local areas, and then linked to a population-based demographic surveillance system to map the patients to individual homesteads. We used kernel density estimation to visualise the distribution of disease and tested for clustering using spatial scan statistics. RESULTS: There were 489 patients with DR-TB in the subdistrict; 111 lived in the smaller demographic surveillance area. Spatial clustering analysis identified a high-risk cluster (relative risk of DR-TB inside vs. outside cluster 3.0, P <0.001) in the south-east, a region characterised by high population density and a high prevalence of human immunodeficiency virus infection. CONCLUSION: We have demonstrated evidence of a geographic high-risk cluster of DR-TB. This suggests that targeting interventions to spatial areas of highest risk, where transmission may be ongoing, could be effective.
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Affiliation(s)
- C M Smith
- Centre for Public Health Data, Institute of Health Informatics, University College London, London
| | - R Lessells
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK, Africa Health Research Institute, School of Nursing and Public Health, University of KwaZulu-Natal, Somkhele
| | - A D Grant
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK, Africa Health Research Institute, School of Nursing and Public Health, University of KwaZulu-Natal, Somkhele, School of Public Health, University of the Witwatersrand, Johannesburg
| | - K Herbst
- Africa Health Research Institute, School of Nursing and Public Health, University of KwaZulu-Natal, Somkhele
| | - F Tanser
- Africa Health Research Institute, School of Nursing and Public Health, University of KwaZulu-Natal, Somkhele, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Congella, South Africa
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21
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Bui DP, Oren E, Roe DJ, Brown HE, Harris RB, Knight GM, Gilman RH, Grandjean L. A Case-Control Study to Identify Community Venues Associated with Genetically-clustered, Multidrug-resistant Tuberculosis Disease in Lima, Peru. Clin Infect Dis 2019; 68:1547-1555. [PMID: 30239609 PMCID: PMC7181380 DOI: 10.1093/cid/ciy746] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 08/24/2018] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND The majority of tuberculosis transmission occurs in community settings. Our primary aim in this study was to assess the association between exposure to community venues and multidrug-resistant (MDR) tuberculosis. Our secondary aim was to describe the social networks of MDR tuberculosis cases and controls. METHODS We recruited laboratory-confirmed MDR tuberculosis cases and community controls that were matched on age and sex. Whole-genome sequencing was used to identify genetically clustered cases. Venue tracing interviews (nonblinded) were conducted to enumerate community venues frequented by participants. Logistic regression was used to assess the association between MDR tuberculosis and person-time spent in community venues. A location-based social network was constructed, with respondents connected if they reported frequenting the same venue, and an exponential random graph model (ERGM) was fitted to model the network. RESULTS We enrolled 59 cases and 65 controls. Participants reported 729 unique venues. The mean number of venues reported was similar in both groups (P = .92). Person-time in healthcare venues (adjusted odds ratio [aOR] = 1.67, P = .01), schools (aOR = 1.53, P < .01), and transportation venues (aOR = 1.25, P = .03) was associated with MDR tuberculosis. Healthcare venues, markets, cinemas, and transportation venues were commonly shared among clustered cases. The ERGM indicated significant community segregation between cases and controls. Case networks were more densely connected. CONCLUSIONS Exposure to healthcare venues, schools, and transportation venues was associated with MDR tuberculosis. Intervention across the segregated network of case venues may be necessary to effectively stem transmission.
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Affiliation(s)
- David P Bui
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson
| | - Eyal Oren
- School of Public Health, San Diego State University, California
| | - Denise J Roe
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson
| | - Heidi E Brown
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson
| | - Robin B Harris
- Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson
| | - Gwenan M Knight
- London School of Hygiene and Tropical Medicine, United Kingdom
| | - Robert H Gilman
- Universidad Peruana Cayetano Heredia, Lima, Peru
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Louis Grandjean
- London School of Hygiene and Tropical Medicine, United Kingdom
- Universidad Peruana Cayetano Heredia, Lima, Peru
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22
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Estimating age-mixing patterns relevant for the transmission of airborne infections. Epidemics 2019; 28:100339. [PMID: 30910644 PMCID: PMC6731521 DOI: 10.1016/j.epidem.2019.03.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 03/19/2019] [Accepted: 03/19/2019] [Indexed: 12/03/2022] Open
Abstract
Airborne infection transmission can occur between anybody sharing indoor space. We demonstrate a method for calculating age-mixing patterns for these contacts. It only requires data that can be easily collected during social contact surveys. Age-mixing patterns for these contacts may vary from those typically used in models.
Introduction Age-mixing patterns can have substantial effects on infectious disease dynamics and intervention effects. Data on close contacts (people spoken to and/or touched) are often used to estimate age-mixing. These are not the only relevant contacts for airborne infections such as tuberculosis, where transmission can occur between anybody ‘sharing air’ indoors. Directly collecting data on age-mixing patterns between casual contacts (shared indoor space, but not ‘close’) is difficult however. We demonstrate a method for indirectly estimating age-mixing patterns between casual indoor contacts from social contact data. Methods We estimated age-mixing patterns between close, casual, and all contacts using data from a social contact survey in South Africa. The age distribution of casual contacts in different types of location was estimated from the reported time spent in the location type by respondents in each age group. Results Patterns of age-mixing calculated from contact numbers were similar between close and all contacts, however patterns of age-mixing calculated from contact time were more age-assortative in all contacts than in close contacts. There was also more variation by age group in total numbers of casual and all contacts, than in total numbers of close contacts. Estimates were robust to sensitivity analyses. Conclusions Patterns of age-mixing can be estimated for all contacts using data that can be easily collected as part of social contact surveys or time-use surveys, and may differ from patterns between close contacts.
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Seddon JA, Chiang SS, Esmail H, Coussens AK. The Wonder Years: What Can Primary School Children Teach Us About Immunity to Mycobacterium tuberculosis? Front Immunol 2018; 9:2946. [PMID: 30619306 PMCID: PMC6300506 DOI: 10.3389/fimmu.2018.02946] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 11/30/2018] [Indexed: 12/22/2022] Open
Abstract
In high burden settings, the risk of infection with Mycobacterium tuberculosis increases throughout childhood due to cumulative exposure. However, the risk of progressing from tuberculosis (TB) infection to disease varies by age. Young children (<5 years) have high risk of disease progression following infection. The risk falls in primary school children (5 to <10 years), but rises again during puberty. TB disease phenotype also varies by age: generally, young children have intrathoracic lymph node disease or disseminated disease, while adolescents (10 to <20 years) have adult-type pulmonary disease. TB risk also exhibits a gender difference: compared to adolescent boys, adolescent girls have an earlier rise in disease progression risk and higher TB incidence until early adulthood. Understanding why primary school children, during what we term the "Wonder Years," have low TB risk has implications for vaccine development, therapeutic interventions, and diagnostics. To understand why this group is at low risk, we need a better comprehension of why younger children and adolescents have higher risks, and why risk varies by gender. Immunological response to M. tuberculosis is central to these issues. Host response at key stages in the immunopathological interaction with M. tuberculosis influences risk and disease phenotype. Cell numbers and function change dramatically with age and sexual maturation. Young children have poorly functioning innate cells and a Th2 skew. During the "Wonder Years," there is a lymphocyte predominance and a Th1 skew. During puberty, neutrophils become more central to host response, and CD4+ T cells increase in number. Sex hormones (dehydroepiandrosterone, adiponectin, leptin, oestradiol, progesterone, and testosterone) profoundly affect immunity. Compared to girls, boys have a stronger Th1 profile and increased numbers of CD8+ T cells and NK cells. Girls are more Th2-skewed and elicit more enhanced inflammatory responses. Non-immunological factors (including exposure intensity, behavior, and co-infections) may impact disease. However, given the consistent patterns seen across time and geography, these factors likely are less central. Strategies to protect children and adolescents from TB may need to differ by age and sex. Further work is required to better understand the contribution of age and sex to M. tuberculosis immunity.
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Affiliation(s)
- James A. Seddon
- Department of Paediatrics, Imperial College London, London, United Kingdom
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Silvia S. Chiang
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI, United States
- Center for International Health Research, Rhode Island Hospital, Providence, RI, United States
| | - Hanif Esmail
- Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Anna K. Coussens
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- Infection and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Division of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia
- Division of Medical Microbiology, Department of Pathology, University of Cape Town, Cape Town, South Africa
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Auld SC, Shah NS, Cohen T, Martinson NA, Gandhi NR. Where is tuberculosis transmission happening? Insights from the literature, new tools to study transmission and implications for the elimination of tuberculosis. Respirology 2018; 23:10.1111/resp.13333. [PMID: 29869818 PMCID: PMC6281783 DOI: 10.1111/resp.13333] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Revised: 05/14/2018] [Accepted: 05/20/2018] [Indexed: 12/12/2022]
Abstract
More than 10 million new cases of tuberculosis (TB) are diagnosed worldwide each year. The majority of these cases occur in low- and middle-income countries where the TB epidemic is predominantly driven by transmission. Efforts to 'end TB' will depend upon our ability to halt ongoing transmission. However, recent studies of new approaches to interrupt transmission have demonstrated inconsistent effects on reducing population-level TB incidence. TB transmission occurs across a wide range of settings, that include households and hospitals, but also community-based settings. While home-based contact investigations and infection control programmes in hospitals and clinics have a successful track record as TB control activities, there is a gap in our knowledge of where, and between whom, community-based transmission of TB occurs. Novel tools, including molecular epidemiology, geospatial analyses and ventilation studies, provide hope for improving our understanding of transmission in countries where the burden of TB is greatest. By integrating these diverse and innovative tools, we can enhance our ability to identify transmission events by documenting the opportunity for transmission-through either an epidemiologic or geospatial connection-alongside genomic evidence for transmission, based upon genetically similar TB strains. A greater understanding of locations and patterns of transmission will translate into meaningful improvements in our current TB control activities by informing targeted, evidence-based public health interventions.
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Affiliation(s)
- Sara C Auld
- Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - N Sarita Shah
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Division of Global HIV and TB, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Neil A Martinson
- Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa
- Center for TB Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Neel R Gandhi
- Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Department of Global Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
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25
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Tuberculosis transmission in public locations in Tanzania: A novel approach to studying airborne disease transmission. J Infect 2017; 75:191-197. [PMID: 28676410 DOI: 10.1016/j.jinf.2017.06.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 06/12/2017] [Accepted: 06/21/2017] [Indexed: 11/21/2022]
Abstract
OBJECTIVES For tuberculosis (TB) transmission to occur, an uninfected individual must inhale the previously infected breath. Our objective was to identify potential TB transmission hotspots in metropolitan city of Dar es Salaam, Tanzania and to model the annual risk of TB transmission in different locations of public importance. METHODS We collected indoor carbon dioxide (CO2) data from markets, prisons, night clubs, public transportation, religious and social halls, and from schools. Study volunteers recorded social contacts at each of the locations. We then estimated the annual risks of TB transmission using a modified Wells-Riley equation for different locations. RESULTS The annual risks of TB transmission were highest among prison inmates (41.6%) and drivers (20.3%) in public transport. Lower transmission risks were found in central markets (4.8% for traders, but 0.5% for their customers), passengers on public transport (2.4%), public schools (4.0%), nightclubs (1.7%), religious (0.13%), and social halls (0.12%). CONCLUSION For the first time in a country representative of sub-Saharan Africa, we modelled the risk of TB transmission in important public locations by using a novel approach of studying airborne transmission. This approach can guide identification of TB transmission hotspots and targeted interventions to reach WHO's ambitious End TB targets.
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26
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Patterson B, Morrow CD, Kohls D, Deignan C, Ginsburg S, Wood R. Mapping sites of high TB transmission risk: Integrating the shared air and social behaviour of TB cases and adolescents in a South African township. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 583:97-103. [PMID: 28109661 PMCID: PMC5312671 DOI: 10.1016/j.scitotenv.2017.01.026] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 12/20/2016] [Accepted: 01/04/2017] [Indexed: 05/08/2023]
Abstract
BACKGROUND Tuberculosis remains a major public health problem in poverty-stricken areas of the world. Communal gathering places account for the majority of TB transmission in high burden settings. OBJECTIVE To investigate the social behaviour patterns of individuals who have developed TB disease and adolescents at risk of infection. To develop a cheap and effective method to locate transmission hot spots in high burden communities. DESIGN Portable, combined CO2/GIS monitors and location diaries were given to individuals from a South African township. The three groups: newly diagnosed TB patients, recently treated TB patients and adolescents recorded their activities over a median of two days. Rebreathed air volumes (RAVs) at all GIS locations were calculated from CO2 levels using the Rudnick-Milton variant of the Wells-Riley TB transmission model. Hot spot analysis was performed to determine the communal buildings which correspond to spatially clustered high RAVs. RESULTS Analysis of diaries found that the adolescent group spent greater time in congregate settings compared with the other two groups driven by time spent in school/work (new TB: 1%, recent TB: 8%, and adolescents: 23%). Adolescents also changed their location more frequently (9.0, 6.0, 14.3 changes per day; p<0.001). The RAVs reflected this divergence between the groups (44, 40, 127l; p<0.001). Communal buildings associated with high RAVs were found to be a clinic, two schools and a library. Hot spot analysis revealed the most intense clustering of high RAVs at a community school. CONCLUSION Our study demonstrates a new methodology to uncover TB transmission hot spots using a technique that avoids the need to pre-select locations. Investigation of a South African township highlighted the high risk potential of schools and high risk social behaviour of adolescents. Consequently the targeting of transmission reduction strategies to schools may prove highly efficacious in high burden settings.
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Affiliation(s)
- Benjamin Patterson
- Division of Infectious Diseases, Columbia University, College of Physicians and Surgeons, New York, NY, USA; Desmond Tutu HIV Centre, IDM, University of Cape Town, Cape Town, South Africa.
| | - Carl D Morrow
- Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Desmond Tutu HIV Centre, IDM, University of Cape Town, Cape Town, South Africa
| | - Daniel Kohls
- Desmond Tutu HIV Centre, IDM, University of Cape Town, Cape Town, South Africa
| | - Caroline Deignan
- Desmond Tutu HIV Centre, IDM, University of Cape Town, Cape Town, South Africa
| | - Samuel Ginsburg
- Department of Electrical Engineering, Faculty of Engineering & the Built Environment, University of Cape Town, South Africa
| | - Robin Wood
- Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Desmond Tutu HIV Centre, IDM, University of Cape Town, Cape Town, South Africa
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27
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Bunyasi EW, Schmidt BM, Abdullahi LH, Mulenga H, Tameris M, Luabeya A, Shenje J, Scriba T, Geldenhuys H, Wood R, Hatherill M. Prevalence of latent TB infection and TB disease among adolescents in high TB burden countries in Africa: a systematic review protocol. BMJ Open 2017; 7:e014609. [PMID: 28283492 PMCID: PMC5353326 DOI: 10.1136/bmjopen-2016-014609] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
INTRODUCTION Almost a third of the world population has latent tuberculosis (TB) infection (LTBI), ∼10 million of whom develop TB disease annually, despite existence of effective, but lengthy, preventive and curative drug regimens. Although adolescents appear to have a very high force of LTBI, their reported incidence of TB disease is less than that of their corresponding general population. The few available studies on adolescent TB infection and disease prevalence are not sufficient to address the apparent discordance between rates of infection and disease in high TB burden countries in Africa. Therefore, we aim to perform a systematic review to examine the relationship between adolescent LTBI and TB disease, benchmarked against national TB disease burden data. METHODS AND ANALYSIS A comprehensive literature search will be performed for cross-sectional studies and screening data in cohort studies to determine the prevalence of LTBI and TB disease among adolescents in high TB burden countries in Africa in the following databases: PubMed, Scopus, Cochrane library, Web of Science, Africa Wide, CINAHL and the Africa Index Medicus. This will be supplemented by a search of reference lists of selected articles for potentially relevant articles. We will restrict our search to articles published in the English language between 1990 and 2016 among adolescents in order to obtain estimates reflective of the mature HIV epidemic in most high TB burden countries in Africa that occurred over this critical period. Primary end points are: prevalence of LTBI and TB disease. We will use the random-effects or fixed-effects modelling for our meta-analysis based on heterogeneity estimates. ETHICS AND DISSEMINATION No ethics approval is required given that this is a systematic review. Findings will be disseminated in a peer-reviewed journal in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). TRIAL REGISTRATION NUMBER CRD42015023495.
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Affiliation(s)
- Erick Wekesa Bunyasi
- The South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Bey-Marrie Schmidt
- School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Leila Hussein Abdullahi
- Vaccines for Africa Initiatives, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Humphrey Mulenga
- The South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Michele Tameris
- The South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Angelique Luabeya
- The South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Justin Shenje
- The South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Thomas Scriba
- The South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Hennie Geldenhuys
- The South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Robin Wood
- The Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Mark Hatherill
- The South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
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Ncayiyana JR, Bassett J, West N, Westreich D, Musenge E, Emch M, Pettifor A, Hanrahan CF, Schwartz SR, Sanne I, van Rie A. Prevalence of latent tuberculosis infection and predictive factors in an urban informal settlement in Johannesburg, South Africa: a cross-sectional study. BMC Infect Dis 2016; 16:661. [PMID: 27825307 PMCID: PMC5101651 DOI: 10.1186/s12879-016-1989-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2016] [Accepted: 10/28/2016] [Indexed: 01/18/2023] Open
Abstract
Background South Africa has one of the highest burdens of latent tuberculosis infection (LTBI) in high-risk populations such as young children, adolescents, household contacts of TB cases, people living with HIV, gold miners and health care workers, but little is known about the burden of LTBI in its general population. Methods Using a community-based survey with random sampling, we examined the burden of LTBI in an urban township of Johannesburg and investigated factors associated with LTBI. The outcome of LTBI was based on TST positivity, with a TST considered positive if the induration was ≥5 mm in people living with HIV or ≥10 mm in those with unknown or HIV negative status. We used bivariate and multivariable logistic regression to identify factors associated with LTBI Results The overall prevalence of LTBI was 34.3 (95 % CI 30.0, 38.8 %), the annual risk of infection among children age 0–14 years was 3.1 % (95 % CI 2.1, 5.2). LTBI was not associated with HIV status. In multivariable logistic regression analysis, LTBI was associated with age (OR = 1.03 for every year increase in age, 95 % CI = 1.01–1.05), male gender (OR = 2.70, 95 % CI = 1.55–4.70), marital status (OR = 2.00, 95 % CI = 1.31–3.54), and higher socio-economic status (OR = 2.11, 95 % CI = 1.04–4.31). Conclusions The prevalence of LTBI and the annual risk of infection with M. tuberculosis is high in urban populations, especially in men, but independent of HIV infection status. This study suggests that LTBI may be associated with higher SES, in contrast to the well-established association between TB disease and poverty.
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Affiliation(s)
- Jabulani R Ncayiyana
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. .,Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 29 Princess of Wales Terrace, Johannesburg, 2193, South Africa.
| | - Jean Bassett
- Witkoppen Health and Welfare Centre, 105 William Nicol Drive, Fourways, Johannesburg, 2055, South Africa
| | - Nora West
- Witkoppen Health and Welfare Centre, 105 William Nicol Drive, Fourways, Johannesburg, 2055, South Africa
| | - Daniel Westreich
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Eustasius Musenge
- Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 29 Princess of Wales Terrace, Johannesburg, 2193, South Africa
| | - Michael Emch
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Audrey Pettifor
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Colleen F Hanrahan
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
| | - Sheree R Schwartz
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
| | - Ian Sanne
- Clinical HIV Research Unit, Department of Medicine, University of the Witwatersrand, Perth Road, Auckland Park, Johannesburg, 2092, South Africa
| | - Annelies van Rie
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.,Department of Epidemiology and Social Medicine, Faculty of Medicine and Health Sciences, University of Antwerp, Campus Drie Eiken, University Square, Wilrijk, Antwerp, 2610, Belgium
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29
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Blaser N, Zahnd C, Hermans S, Salazar-Vizcaya L, Estill J, Morrow C, Egger M, Keiser O, Wood R. Tuberculosis in Cape Town: An age-structured transmission model. Epidemics 2016; 14:54-61. [PMID: 26972514 PMCID: PMC4791535 DOI: 10.1016/j.epidem.2015.10.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Revised: 10/05/2015] [Accepted: 10/11/2015] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) is the leading cause of death in South Africa. The burden of disease varies by age, with peaks in TB notification rates in the HIV-negative population at ages 0-5, 20-24, and 45-49 years. There is little variation between age groups in the rates in the HIV-positive population. The drivers of this age pattern remain unknown. METHODS We developed an age-structured simulation model of Mycobacterium tuberculosis (Mtb) transmission in Cape Town, South Africa. We considered five states of TB progression: susceptible, infected (latent TB), active TB, treated TB, and treatment default. Latently infected individuals could be re-infected; a previous Mtb infection slowed progression to active disease. We further considered three states of HIV progression: HIV negative, HIV positive, on antiretroviral therapy. To parameterize the model, we analysed treatment outcomes from the Cape Town electronic TB register, social mixing patterns from a Cape Town community and used literature estimates for other parameters. To investigate the main drivers behind the age patterns, we conducted sensitivity analyses on all parameters related to the age structure. RESULTS The model replicated the age patterns in HIV-negative TB notification rates of Cape Town in 2009. Simulated TB notification rate in HIV-negative patients was 1000/100,000 person-years (pyrs) in children aged <5 years and decreased to 51/100,000 in children 5-15 years. The peak in early adulthood occurred at 25-29 years (463/100,000 pyrs). After a subsequent decline, simulated TB notification rates gradually increased from the age of 30 years. Sensitivity analyses showed that the dip after the early adult peak was due to the protective effect of latent TB and that retreatment TB was mainly responsible for the rise in TB notification rates from the age of 30 years. CONCLUSION The protective effect of a first latent infection on subsequent infections and the faster progression in previously treated patients are the key determinants of the age-structure of TB notification rates in Cape Town.
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Affiliation(s)
- Nello Blaser
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Cindy Zahnd
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Sabine Hermans
- Desmond Tutu HIV Centre, Institute for Infectious Disease & Molecular Medicine, University of Cape Town, South Africa; Department of Global Health, Academic Medical Center, University of Amsterdam, Amsterdam Institute for Global Health and Development,The Netherlands; Department of Internal Medicine, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Luisa Salazar-Vizcaya
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Janne Estill
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Carl Morrow
- Desmond Tutu HIV Centre, Institute for Infectious Disease & Molecular Medicine, University of Cape Town, South Africa
| | - Matthias Egger
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland; School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Olivia Keiser
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
| | - Robin Wood
- Desmond Tutu HIV Centre, Institute for Infectious Disease & Molecular Medicine, University of Cape Town, South Africa; Department of Medicine, University of Cape Town,, South Africa; Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, UK
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McCreesh N, Looker C, Dodd PJ, Plumb ID, Shanaube K, Muyoyeta M, Godfrey-Faussett P, Corbett EL, Ayles H, White RG. Comparison of indoor contact time data in Zambia and Western Cape, South Africa suggests targeting of interventions to reduce Mycobacterium tuberculosis transmission should be informed by local data. BMC Infect Dis 2016; 16:71. [PMID: 26861444 PMCID: PMC4746903 DOI: 10.1186/s12879-016-1406-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 02/02/2016] [Indexed: 01/20/2023] Open
Abstract
Background In high incidence settings, the majority of Mycobacterium tuberculosis (M.tb) transmission occurs outside the household. Little is known about where people’s indoor contacts occur outside the household, and how this differs between different settings. We estimate the number of contact hours that occur between adults and adult/youths and children in different building types in urban areas in Western Cape, South Africa, and Zambia. Methods Data were collected from 3206 adults using a cross-sectional survey, on buildings visited in a 24-h period, including building function, visit duration, and number of adults/youths and children (5–12 years) present. The mean numbers of contact hours per day by building function were calculated. Results Adults in Western Cape were more likely to visit workplaces, and less likely to visit shops and churches than adults in Zambia. Adults in Western Cape spent longer per visit in other homes and workplaces than adults in Zambia. More adults/youths were present at visits to shops and churches in Western Cape than in Zambia, and fewer at homes and hairdressers. More children were present at visits to shops in Western Cape than in Zambia, and fewer at schools and hairdressers. Overall numbers of adult/youth indoor contact hours were the same at both sites (35.4 and 37.6 h in Western Cape and Zambia respectively, p = 0.4). Child contact hours were higher in Zambia (16.0 vs 13.7 h, p = 0.03). Adult/youth and child contact hours were highest in workplaces in Western Cape and churches in Zambia. Compared to Zambia, adult contact hours in Western Cape were higher in workplaces (15.2 vs 8.0 h, p = 0.004), and lower in churches (3.7 vs 8.6 h, p = 0.002). Child contact hours were higher in other peoples’ homes (2.8 vs 1.6 h, p = 0.03) and workplaces (4.9 vs 2.1 h, p = 0.003), and lower in churches (2.5 vs 6.2, p = 0.004) and schools (0.4 vs 1.5, p = 0.01). Conclusions Patterns of indoor contact between adults and adults/youths and children differ between different sites in high M.tb incidence areas. Targeting public buildings with interventions to reduce M.tb transmission (e.g. increasing ventilation or UV irradiation) should be informed by local data. Electronic supplementary material The online version of this article (doi:10.1186/s12879-016-1406-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nicky McCreesh
- TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
| | - Clare Looker
- TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
| | - Peter J Dodd
- TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK. .,Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK.
| | - Ian D Plumb
- TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
| | - Kwame Shanaube
- ZAMBART Project, School of Medicine, University of Zambia, Lusaka, Zambia.
| | - Monde Muyoyeta
- ZAMBART Project, School of Medicine, University of Zambia, Lusaka, Zambia. .,TB Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.
| | - Peter Godfrey-Faussett
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
| | - Elizabeth L Corbett
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK. .,HIV and TB Theme, Malawi Liverpool Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
| | - Helen Ayles
- ZAMBART Project, School of Medicine, University of Zambia, Lusaka, Zambia. .,Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
| | - Richard G White
- TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
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Abstract
"Infectious diseases of poverty" (IDoP) describes infectious diseases that are more prevalent among poor and vulnerable populations, namely human immunodeficiency virus (HIV) infection, tuberculosis (TB), malaria, and neglected tropical diseases (NTDs). In 2013, 190,000 children died of HIV-related causes and there were 550,000 cases and 80,000 TB deaths in children. Children under age 5 account for 78% of malaria deaths annually. NTDs remain a public health challenge in low- and middle-income countries. This article provides an overview of the major IDoP that affect children. Clinicians must be familiar with the epidemiology and clinical manifestations to ensure prompt diagnosis and treatment.
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Affiliation(s)
- Caitlin Hansen
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT, USA
| | - Elijah Paintsil
- Department of Pediatrics, Yale University School of Medicine, 464 Congress Ave, New Haven, CT 06520, USA; Department of Pharmacology, Yale University School of Medicine, 464 Congress Avenue, New Haven, CT 06520, USA; Department of Public Health, Yale University School of Medicine, 464 Congress Avenue, New Haven, CT 06520, USA.
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32
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Agaya J, Nnadi CD, Odhiambo J, Obonyo C, Obiero V, Lipke V, Okeyo E, Cain K, Oeltmann JE. Tuberculosis and latent tuberculosis infection among healthcare workers in Kisumu, Kenya. Trop Med Int Health 2015; 20:1797-804. [PMID: 26376085 DOI: 10.1111/tmi.12601] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To assess prevalence and occupational risk factors of latent TB infection and history of TB disease ascribed to work in a healthcare setting in western Kenya. METHODS We conducted a cross-sectional survey among healthcare workers in western Kenya in 2013. They were recruited from dispensaries, health centres and hospitals that offer both TB and HIV services. School workers from the health facilities' catchment communities were randomly selected to serve as the community comparison group. Latent TB infection was diagnosed by tuberculin skin testing. HIV status of participants was assessed. Using a logistic regression model, we determined the adjusted odds of latent TB infection among healthcare workers compared to school workers; and among healthcare workers only, we assessed work-related risk factors for latent TB infection. RESULTS We enrolled 1005 healthcare workers and 411 school workers. Approximately 60% of both groups were female. A total of 22% of 958 healthcare workers and 12% of 392 school workers tested HIV positive. Prevalence of self-reported history of TB disease was 7.4% among healthcare workers and 3.6% among school workers. Prevalence of latent TB infection was 60% among healthcare workers and 48% among school workers. Adjusted odds of latent TB infection were 1.5 times higher among healthcare workers than school workers (95% confidence interval 1.2-2.0). Healthcare workers at all three facility types had similar prevalence of latent TB infection (P = 0.72), but increasing years of employment was associated with increased odds of LTBI (P < 0.01). CONCLUSION Healthcare workers at facilities in western Kenya which offer TB and HIV services are at increased risk of latent TB infection, and the risk is similar across facility types. Implementation of WHO-recommended TB infection control measures are urgently needed in health facilities to protect healthcare workers.
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Affiliation(s)
- Janet Agaya
- Kenya Medical Research Institute (KEMRI) Center for Global Health Research, Kisumu, Kenya
| | - Chimeremma D Nnadi
- Epidemic Intelligence Service, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.,Division of Tuberculosis Elimination, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Joseph Odhiambo
- U.S. Centers for Disease Control and Prevention, Kisumu, Kenya
| | - Charles Obonyo
- Kenya Medical Research Institute (KEMRI) Center for Global Health Research, Kisumu, Kenya
| | - Vincent Obiero
- Kenya Medical Research Institute (KEMRI) Center for Global Health Research, Kisumu, Kenya
| | - Virginia Lipke
- Division of Global HIV/AIDS, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Elisha Okeyo
- Kenya Medical Research Institute (KEMRI) Center for Global Health Research, Kisumu, Kenya
| | - Kevin Cain
- U.S. Centers for Disease Control and Prevention, Kisumu, Kenya
| | - John E Oeltmann
- Division of Tuberculosis Elimination, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
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Hermans S, Middelkoop K, Wood R. Shared locations of TB cases: places of acquisition or transmission of infection? Trop Med Int Health 2015; 20:965. [PMID: 25732272 DOI: 10.1111/tmi.12493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Sabine Hermans
- Desmond Tutu HIV Centre, Institute for Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
| | - Keren Middelkoop
- Desmond Tutu HIV Centre, Institute for Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Robin Wood
- Desmond Tutu HIV Centre, Institute for Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa
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Wood R, Morrow C, Ginsberg S, Piccoli E, Kalil D, Sassi A, Walensky RP, Andrews JR. Quantification of shared air: a social and environmental determinant of airborne disease transmission. PLoS One 2014; 9:e106622. [PMID: 25181526 PMCID: PMC4152288 DOI: 10.1371/journal.pone.0106622] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2014] [Accepted: 07/30/2014] [Indexed: 12/03/2022] Open
Abstract
Background Tuberculosis is endemic in Cape Town, South Africa where a majority of the population become tuberculosis infected before adulthood. While social contact patterns impacting tuberculosis and other respiratory disease spread have been studied, the environmental determinants driving airborne transmission have not been quantified. Methods Indoor carbon dioxide levels above outdoor levels reflect the balance of exhaled breath by room occupants and ventilation. We developed a portable monitor to continuously sample carbon dioxide levels, which were combined with social contact diary records to estimate daily rebreathed litres. A pilot study established the practicality of monitor use up to 48-hours. We then estimated the daily volumes of air rebreathed by adolescents living in a crowded township. Results One hundred eight daily records were obtained from 63 adolescents aged between 12- and 20-years. Forty-five lived in wooden shacks and 18 in brick-built homes with a median household of 4 members (range 2–9). Mean daily volume of rebreathed air was 120.6 (standard error: 8.0) litres/day, with location contributions from household (48%), school (44%), visited households (4%), transport (0.5%) and other locations (3.4%). Independent predictors of daily rebreathed volumes included household type (p = 0.002), number of household occupants (p = 0.021), number of sleeping space occupants (p = 0.022) and winter season (p<0.001). Conclusions We demonstrated the practical measurement of carbon dioxide levels to which individuals are exposed in a sequence of non-steady state indoor environments. A novel metric of rebreathed air volume reflects social and environmental factors associated with airborne infection and can identify locations with high transmission potential.
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Affiliation(s)
- Robin Wood
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, and Department of Medicine, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa
- * E-mail:
| | - Carl Morrow
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, and Department of Medicine, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa
| | - Samuel Ginsberg
- Department of Electrical Engineering, Faculty of Engineering & the Built Environment, University of Cape Town, Cape Town, South Africa
| | - Elizabeth Piccoli
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, and Department of Medicine, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa
| | - Darryl Kalil
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, and Department of Medicine, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa
| | - Angelina Sassi
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, and Department of Medicine, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa
| | - Rochelle P. Walensky
- Center for AIDS Research, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jason R. Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, United States of America
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Seddon JA, Shingadia D. Epidemiology and disease burden of tuberculosis in children: a global perspective. Infect Drug Resist 2014; 7:153-65. [PMID: 24971023 PMCID: PMC4069045 DOI: 10.2147/idr.s45090] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Our understanding of the tuberculosis (TB) epidemic in children is incomplete due to challenges in diagnosis and reporting. Children have also been largely excluded from research and advocacy. However, the tide appears to be turning and interest in pediatric TB is increasing. In this article, we explore the epidemiology of childhood TB by first reviewing the natural history of TB in children and the factors that impact on each of the stages from exposure to disease. We then discuss how these factors affect what we see at a country and regional level. Finally, we assess the burden of childhood TB globally.
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Affiliation(s)
- James A Seddon
- Department of Paediatric Infectious Diseases, Imperial College London, London, UK
| | - Delane Shingadia
- Department of Paediatric Infectious Diseases, Great Ormond Street Hospital, London, UK
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36
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Richardson ET, Morrow CD, Kalil DB, Bekker LG, Wood R. Shared air: a renewed focus on ventilation for the prevention of tuberculosis transmission. PLoS One 2014; 9:e96334. [PMID: 24804707 PMCID: PMC4012987 DOI: 10.1371/journal.pone.0096334] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Accepted: 04/07/2014] [Indexed: 02/07/2023] Open
Abstract
Background Despite an improvement in the overall TB cure rate from 40–74% between 1995 and 2011, TB incidence in South Africa continues to increase. The epidemic is notably disquieting in schools because the vulnerable population is compelled to be present. Older learners (age 15–19) are at particular risk given a smear-positive rate of 427 per 100,000 per year and the significant amount of time they spend indoors. High schools are therefore important locations for potential TB infection and thus prevention efforts. Methods and Findings Using portable carbon dioxide monitors, we measured CO2 in classrooms under non-steady state conditions. The threshold for tuberculosis transmission was estimated using a carbon dioxide-based risk equation. We determined a critical rebreathed fraction of carbon dioxide () of 1·6%, which correlates with an indoor CO2 concentration of 1000 ppm. These values correspond with a ventilation rate of 8·6 l/s per person or 12 air exchanges per hour (ACH) for standard classrooms of 180 m3. Conclusions Given the high smear positive rate of high-school adolescents in South Africa, the proposal to achieve CO2 levels of 1000ppm through natural ventilation (in the amount 12 ACH) will not only help achieve WHO guidelines for providing children with healthy indoor environments, it will also provide a low-cost intervention for helping control the TB epidemic in areas of high prevalence.
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Affiliation(s)
- Eugene T. Richardson
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, United States of America
- Department of Anthropology, Stanford University, Stanford, California, United States of America
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, Republic of South Africa
- * E-mail:
| | - Carl D. Morrow
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, Republic of South Africa
| | - Darryl B. Kalil
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, Republic of South Africa
| | - Linda-Gail Bekker
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, Republic of South Africa
| | - Robin Wood
- Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, Republic of South Africa
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Middelkoop K, Bekker LG, Morrow C, Lee N, Wood R. Decreasing household contribution to TB transmission with age: a retrospective geographic analysis of young people in a South African township. BMC Infect Dis 2014; 14:221. [PMID: 24758715 PMCID: PMC4012060 DOI: 10.1186/1471-2334-14-221] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2013] [Accepted: 04/10/2014] [Indexed: 12/02/2022] Open
Abstract
Background Tuberculosis (TB) transmission rates are exceptionally high in endemic TB settings. Adolescence represents a period of increasing TB infection and disease but little is known as to where adolescents acquire TB infection. We explored the relationship between residential exposure to adult TB cases and infection in children and adolescents in a South African community with high burdens of TB and HIV. Methods TB infection data were obtained from community, school-based tuberculin skin test (TST) surveys performed in 2006, 2007 and 2009. A subset of 2007 participants received a repeat TST in 2009, among which incident TB infections were identified. Using residential address, all adult TB cases notified by the community clinic between 1996 and 2009 were cross-referenced with childhood and adolescent TST results. Demographic and clinic data including HIV status were abstracted for TB cases. Multivariate logistic regression models examined the association of adult TB exposure with childhood and adolescent prevalent and incident TB infection. Results Of 1,100 children and adolescents included in the prevalent TB infection analysis, 480 (44%) were TST positive and 651 (59%) were exposed to an adult TB case on their residential plot. Prevalent TB infection in children aged 5–9 and 10–14 years was positively associated with residential exposure to an adult TB case (odds ratio [OR]:2.0; 95% confidence interval [CI]: 1.1-3.6 and OR:1.5; 95% CI: 1.0-2.3 respectively), but no association was found in adolescents ≥15 years (OR:1.4; 95% CI: 0.9-2.0). HIV status of adult TB cases was not associated with TB infection (p = 0.62). Of 67 previously TST negative children, 16 (24%) converted to a positive TST in 2009. These incident infections were not associated with residential exposure to an adult TB case (OR: 1.9; 95% CI: 0.5-7.3). Conclusions TB infection among young children was strongly associated with residential exposure to an adult TB case, but prevalent and incident TB infection in adolescents was not associated with residential exposure. The HIV-status of adult TB cases was not a risk factor for transmission. The high rates of TB infection and disease among adolescents underscore the importance of identifying where infection occurs in this age group.
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Affiliation(s)
- Keren Middelkoop
- Desmond Tutu HIV Centre, Institute of Infectious Disease & Molecular Medicine, University of Cape Town, Cape Town, South Africa.
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38
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Andrews JR, Morrow C, Walensky RP, Wood R. Integrating social contact and environmental data in evaluating tuberculosis transmission in a South African township. J Infect Dis 2014; 210:597-603. [PMID: 24610874 DOI: 10.1093/infdis/jiu138] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Population models of tuberculosis transmission have not accounted for social contact structure and the role of the environment in which tuberculosis is transmitted. METHODS We utilized extensions to the Wells-Riley model of tuberculosis transmission, using exhaled carbon dioxide as a tracer gas, to describe transmission patterns in an endemic community. Drawing upon social interaction data and carbon dioxide measurements from a South African township, we created an age-structured model of tuberculosis transmission in households, public transit, schools, and workplaces. We fit the model to local data on latent tuberculosis prevalence by age. RESULTS Most tuberculosis infections (84%) were estimated to occur outside of one's own household. Fifty percent of infections among young adults (ages 15-19) occurred in schools, due to high contact rates and poor ventilation. Despite lower numbers of contacts in workplaces, assortative mixing among adults with high rates of smear-positive tuberculosis contributed to transmission in this environment. Households and public transit were important sites of transmission between age groups. CONCLUSIONS Consistent with molecular epidemiologic estimates, a minority of tuberculosis transmission was estimated to occur within households, which may limit the impact of contact investigations. Further work is needed to investigate the role of schools in tuberculosis transmission.
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Affiliation(s)
- Jason R Andrews
- Division of Infectious Diseases, Massachusetts General Hospital, Boston
| | - Carl Morrow
- Desmond Tutu HIV Centre, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, South Africa
| | | | - Robin Wood
- Desmond Tutu HIV Centre, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, South Africa
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39
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Lowenthal ED, Bakeera-Kitaka S, Marukutira T, Chapman J, Goldrath K, Ferrand RA. Perinatally acquired HIV infection in adolescents from sub-Saharan Africa: a review of emerging challenges. THE LANCET. INFECTIOUS DISEASES 2014; 14:627-39. [PMID: 24406145 DOI: 10.1016/s1473-3099(13)70363-3] [Citation(s) in RCA: 305] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Worldwide, more than three million children are infected with HIV, 90% of whom live in sub-Saharan Africa. As the HIV epidemic matures and antiretroviral treatment is scaled up, children with HIV are reaching adolescence in large numbers. The growing population of adolescents with perinatally acquired HIV infection living within this region presents not only unprecedented challenges but also opportunities to learn about the pathogenesis of HIV infection. In this Review, we discuss the changing epidemiology of paediatric HIV and the particular features of HIV infection in adolescents in sub-Saharan Africa. Longstanding HIV infection acquired when the immune system is not developed results in distinctive chronic clinical complications that cause severe morbidity. As well as dealing with chronic illness, HIV-infected adolescents have to confront psychosocial issues, maintain adherence to drugs, and learn to negotiate sexual relationships, while undergoing rapid physical and psychological development. Context-specific strategies for early identification of HIV infection in children and prompt linkage to care need to be developed. Clinical HIV care should integrate age-appropriate sexual and reproductive health and psychological, educational, and social services. Health-care workers will need to be trained to recognise and manage the needs of these young people so that the increasing numbers of children surviving to adolescence can access quality care beyond specialist services at low-level health-care facilities.
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Affiliation(s)
- Elizabeth D Lowenthal
- Departments of Pediatrics and Epidemiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA; Department of Paediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Botswana-UPenn Partnership, Gaborone, Botswana
| | - Sabrina Bakeera-Kitaka
- Department of Paediatrics and Child Health, Makerere University College of Health Sciences, Kampala, Uganda
| | - Tafireyi Marukutira
- Botswana-Baylor Children's Clinical Centre of Excellence, Gaborone, Botswana
| | - Jennifer Chapman
- Department of Paediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kathryn Goldrath
- Departments of Pediatrics and Epidemiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Rashida A Ferrand
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK; Biomedical Research and Training Institute, Harare, Zimbabwe.
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40
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Abstract
Unrecognized transmission is a major contributor to ongoing TB epidemics in high-burden, resource-constrained settings. Limitations in diagnosis, treatment, and infection control in health-care and community settings allow for continued transmission of drug-sensitive and drug-resistant TB, particularly in regions of high HIV prevalence. Health-care facilities are common sites of TB transmission. Improved implementation of infection control practices appropriate for the local setting and in combination, has been associated with reduced transmission. Community settings account for the majority of TB transmission and deserve increased focus. Strengthening and intensifying existing high-yield strategies, including household contact tracing, can reduce onward TB transmission. Recent studies documenting high transmission risk community sites and strategies for community-based intensive case finding hold promise for feasible, effective transmission reduction. Infection control in community settings has been neglected and requires urgent attention. Developing and implementing improved strategies for decreasing transmission to children, within prisons and of drug-resistant TB are needed.
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41
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Lygizos M, Shenoi SV, Brooks RP, Bhushan A, Brust JCM, Zelterman D, Deng Y, Northrup V, Moll AP, Friedland GH. Natural ventilation reduces high TB transmission risk in traditional homes in rural KwaZulu-Natal, South Africa. BMC Infect Dis 2013; 13:300. [PMID: 23815441 PMCID: PMC3716713 DOI: 10.1186/1471-2334-13-300] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2012] [Accepted: 06/13/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Transmission of drug susceptible and drug resistant TB occurs in health care facilities, and community and households settings, particularly in highly prevalent TB and HIV areas. There is a paucity of data regarding factors that may affect TB transmission risk in household settings. We evaluated air exchange and the impact of natural ventilation on estimated TB transmission risk in traditional Zulu homes in rural South Africa. METHODS We utilized a carbon dioxide decay technique to measure ventilation in air changes per hour (ACH). We evaluated predominant home types to determine factors affecting ACH and used the Wells-Riley equation to estimate TB transmission risk. RESULTS Two hundred eighteen ventilation measurements were taken in 24 traditional homes. All had low ventilation at baseline when windows were closed (mean ACH = 3, SD = 3.0), with estimated TB transmission risk of 55.4% over a ten hour period of exposure to an infectious TB patient. There was significant improvement with opening windows and door, reaching a mean ACH of 20 (SD = 13.1, p < 0.0001) resulting in significant decrease in estimated TB transmission risk to 9.6% (p < 0.0001). Multivariate analysis identified factors predicting ACH, including ventilation conditions (windows/doors open) and window to volume ratio. Expanding ventilation increased the odds of achieving ≥12 ACH by 60-fold. CONCLUSIONS There is high estimated risk of TB transmission in traditional homes of infectious TB patients in rural South Africa. Improving natural ventilation may decrease household TB transmission risk and, combined with other strategies, may enhance TB control efforts.
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Affiliation(s)
- Melissa Lygizos
- Yale University School of Medicine, AIDS Program, New Haven, CT, USA
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