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Ilboudo AK, Cissé A, Milucky J, Tialla D, Mirza SA, Diallo AO, Bicaba BW, Charlemagne KJ, Diagbouga PS, Owusu D, Waller JL, Talla-Nzussouo N, Charles MD, Whitney CG, Tarnagda Z. Predictors of severity and prolonged hospital stay of viral acute respiratory infections (ARI) among children under five years in Burkina Faso, 2016-2019. BMC Infect Dis 2024; 24:331. [PMID: 38509462 PMCID: PMC10953152 DOI: 10.1186/s12879-024-09219-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 03/13/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Viruses are the leading etiology of acute respiratory infections (ARI) in children. However, there is limited knowledge on drivers of severe acute respiratory infection (SARI) cases involving viruses. We aimed to identify factors associated with severity and prolonged hospitalization of viral SARI among children < 5 years in Burkina Faso. METHODS Data were collected from four SARI sentinel surveillance sites during October 2016 through April 2019. A SARI case was a child < 5 years with an acute respiratory infection with history of fever or measured fever ≥ 38 °C and cough with onset within the last ten days, requiring hospitalization. Very severe ARI cases required intensive care or had at least one danger sign. Oropharyngeal/nasopharyngeal specimens were collected and analyzed by multiplex real-time reverse-transcription polymerase chain reaction (rRT-PCR) using FTD-33 Kit. For this analysis, we included only SARI cases with rRT-PCR positive test results for at least one respiratory virus. We used simple and multilevel logistic regression models to assess factors associated with very severe viral ARI and viral SARI with prolonged hospitalization. RESULTS Overall, 1159 viral SARI cases were included in the analysis after excluding exclusively bacterial SARI cases (n = 273)very severe viral ARI cases were common among children living in urban areas (AdjOR = 1.3; 95% CI: 1.1-1.6), those < 3 months old (AdjOR = 1.5; 95% CI: 1.1-2.3), and those coinfected with Klebsiella pneumoniae (AdjOR = 1.9; 95% CI: 1.2-2.2). Malnutrition (AdjOR = 2.2; 95% CI: 1.1-4.2), hospitalization during the rainy season (AdjOR = 1.71; 95% CI: 1.2-2.5), and infection with human CoronavirusOC43 (AdjOR = 3; 95% CI: 1.2-8) were significantly associated with prolonged length of hospital stay (> 7 days). CONCLUSION Younger age, malnutrition, codetection of Klebsiella pneumoniae, and illness during the rainy season were associated with very severe cases and prolonged hospitalization of SARI involving viruses in children under five years. These findings emphasize the need for preventive actions targeting these factors in young children.
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Affiliation(s)
- Abdoul Kader Ilboudo
- Laboratoire National de Référence-Grippes (LNR-G), Institut de Recherche en Sciences de la Santé (IRSS), Ouagadougou, Burkina Faso.
| | - Assana Cissé
- Laboratoire National de Référence-Grippes (LNR-G), Institut de Recherche en Sciences de la Santé (IRSS), Ouagadougou, Burkina Faso
| | - Jennifer Milucky
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Dieudonné Tialla
- Laboratoire National de Référence-Grippes (LNR-G), Institut de Recherche en Sciences de la Santé (IRSS), Ouagadougou, Burkina Faso
| | - Sara A Mirza
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Alpha Oumar Diallo
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Brice W Bicaba
- Direction de la Protection de la Santé de la Population, Ministère de la Santé, Ouagadougou, Burkina Faso
| | - Kondombo Jean Charlemagne
- Direction de la Protection de la Santé de la Population, Ministère de la Santé, Ouagadougou, Burkina Faso
| | - Potiandi Serge Diagbouga
- Laboratoire National de Référence-Grippes (LNR-G), Institut de Recherche en Sciences de la Santé (IRSS), Ouagadougou, Burkina Faso
| | - Daniel Owusu
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jessica L Waller
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ndahwouh Talla-Nzussouo
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Noguchi Memorial Institute for Medical Research, Legon, Accra, Ghana
- Dexis Professional Services, 1331 Pennsylvania Avenue NW Suite 300, Washington, DC, 20004, USA
| | - Myrna D Charles
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Cynthia G Whitney
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Zekiba Tarnagda
- Laboratoire National de Référence-Grippes (LNR-G), Institut de Recherche en Sciences de la Santé (IRSS), Ouagadougou, Burkina Faso
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Davies JI, Reddiar SK, Hirschhorn LR, Ebert C, Marcus ME, Seiglie JA, Zhumadilov Z, Supiyev A, Sturua L, Silver BK, Sibai AM, Quesnel-Crooks S, Norov B, Mwangi JK, Omar OM, Wong-McClure R, Mayige MT, Martins JS, Lunet N, Labadarios D, Karki KB, Kagaruki GB, Jorgensen JMA, Hwalla NC, Houinato D, Houehanou C, Guwatudde D, Gurung MS, Bovet P, Bicaba BW, Aryal KK, Msaidié M, Andall-Brereton G, Brian G, Stokes A, Vollmer S, Bärnighausen T, Atun R, Geldsetzer P, Manne-Goehler J, Jaacks LM. Association between country preparedness indicators and quality clinical care for cardiovascular disease risk factors in 44 lower- and middle-income countries: A multicountry analysis of survey data. PLoS Med 2020; 17:e1003268. [PMID: 33170842 PMCID: PMC7654799 DOI: 10.1371/journal.pmed.1003268] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 09/18/2020] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Cardiovascular diseases are leading causes of death, globally, and health systems that deliver quality clinical care are needed to manage an increasing number of people with risk factors for these diseases. Indicators of preparedness of countries to manage cardiovascular disease risk factors (CVDRFs) are regularly collected by ministries of health and global health agencies. We aimed to assess whether these indicators are associated with patient receipt of quality clinical care. METHODS AND FINDINGS We did a secondary analysis of cross-sectional, nationally representative, individual-patient data from 187,552 people with hypertension (mean age 48.1 years, 53.5% female) living in 43 low- and middle-income countries (LMICs) and 40,795 people with diabetes (mean age 52.2 years, 57.7% female) living in 28 LMICs on progress through cascades of care (condition diagnosed, treated, or controlled) for diabetes or hypertension, to indicate outcomes of provision of quality clinical care. Data were extracted from national-level World Health Organization (WHO) Stepwise Approach to Surveillance (STEPS), or other similar household surveys, conducted between July 2005 and November 2016. We used mixed-effects logistic regression to estimate associations between each quality clinical care outcome and indicators of country development (gross domestic product [GDP] per capita or Human Development Index [HDI]); national capacity for the prevention and control of noncommunicable diseases ('NCD readiness indicators' from surveys done by WHO); health system finance (domestic government expenditure on health [as percentage of GDP], private, and out-of-pocket expenditure on health [both as percentage of current]); and health service readiness (number of physicians, nurses, or hospital beds per 1,000 people) and performance (neonatal mortality rate). All models were adjusted for individual-level predictors including age, sex, and education. In an exploratory analysis, we tested whether national-level data on facility preparedness for diabetes were positively associated with outcomes. Associations were inconsistent between indicators and quality clinical care outcomes. For hypertension, GDP and HDI were both positively associated with each outcome. Of the 33 relationships tested between NCD readiness indicators and outcomes, only two showed a significant positive association: presence of guidelines with being diagnosed (odds ratio [OR], 1.86 [95% CI 1.08-3.21], p = 0.03) and availability of funding with being controlled (OR, 2.26 [95% CI 1.09-4.69], p = 0.03). Hospital beds (OR, 1.14 [95% CI 1.02-1.27], p = 0.02), nurses/midwives (OR, 1.24 [95% CI 1.06-1.44], p = 0.006), and physicians (OR, 1.21 [95% CI 1.11-1.32], p < 0.001) per 1,000 people were positively associated with being diagnosed and, similarly, with being treated; and the number of physicians was additionally associated with being controlled (OR, 1.12 [95% CI 1.01-1.23], p = 0.03). For diabetes, no positive associations were seen between NCD readiness indicators and outcomes. There was no association between country development, health service finance, or health service performance and readiness indicators and any outcome, apart from GDP (OR, 1.70 [95% CI 1.12-2.59], p = 0.01), HDI (OR, 1.21 [95% CI 1.01-1.44], p = 0.04), and number of physicians per 1,000 people (OR, 1.28 [95% CI 1.09-1.51], p = 0.003), which were associated with being diagnosed. Six countries had data on cascades of care and nationwide-level data on facility preparedness. Of the 27 associations tested between facility preparedness indicators and outcomes, the only association that was significant was having metformin available, which was positively associated with treatment (OR, 1.35 [95% CI 1.01-1.81], p = 0.04). The main limitation was use of blood pressure measurement on a single occasion to diagnose hypertension and a single blood glucose measurement to diagnose diabetes. CONCLUSION In this study, we observed that indicators of country preparedness to deal with CVDRFs are poor proxies for quality clinical care received by patients for hypertension and diabetes. The major implication is that assessments of countries' preparedness to manage CVDRFs should not rely on proxies; rather, it should involve direct assessment of quality clinical care.
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Affiliation(s)
- Justine I. Davies
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of Witwatersrand, Johannesburg, South Africa
- King’s Centre for Global Health, King’s College London, United Kingdom
- Centre for Global Surgery, Department of Global Health, Stellenbosch University, Stellenbosch, South Africa
| | - Sumithra Krishnamurthy Reddiar
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Lisa R. Hirschhorn
- Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Cara Ebert
- RWI Leibniz Institute for Economic Research, Berlin Office, Berlin, Germany
| | - Maja-Emilia Marcus
- Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
| | - Jacqueline A. Seiglie
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Zhaxybay Zhumadilov
- National Laboratory Astana, University Medical Center, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Adil Supiyev
- Laboratory of Epidemiology and Public Health, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Lela Sturua
- Non-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | - Abla M. Sibai
- Department of Epidemiology & Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | | | - Bolormaa Norov
- National Center for Public Health, Ulaanbaatar, Mongolia
| | - Joseph K. Mwangi
- Division of Non-Communicable Diseases, Kenya Ministry of Health, Nairobi, Kenya
| | | | - Roy Wong-McClure
- Epidemiology Office and Surveillance, Caja Costarricense de Seguro Social, San Jose, Costa Rica
| | - Mary T. Mayige
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - Joao S. Martins
- Postgraduate Program Office, Universidade Nacional Timor Lorosae, Dili, Timor-Leste
| | - Nuno Lunet
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal
| | - Demetre Labadarios
- Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Khem B. Karki
- Institute of Medicine, Tribuvan, University Kathmandu, Nepal
| | | | | | - Nahla C. Hwalla
- Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon
| | - Dismand Houinato
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey–Calavi, Cotonou, Benin
| | - Corine Houehanou
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey–Calavi, Cotonou, Benin
| | - David Guwatudde
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda
| | - Mongal S. Gurung
- Health Research and Epidemiology Unit, Ministry of Health, Thimphu, Bhutan
| | - Pascal Bovet
- University Center of Primary Care and Health Services (Unisanté), Lausanne, Switzerland
- Ministry of Health, Victoria, Republic of Seychelles
| | - Brice W. Bicaba
- Institut Africain de Santé publique (IASP), Ouagadougou, Burkina Faso
| | - Krishna K. Aryal
- Monitoring Evaluation and Operational Research Project, Abt Associates, Kathmandu, Nepal
| | - Mohamed Msaidié
- Ministry of Health, Solidarity, Social Cohesion and Gender, Government of the Union of Comoros, Moroni, Union of Comoros
| | | | - Garry Brian
- The Fred Hollows Foundation New Zealand, Auckland, New Zealand
| | - Andrew Stokes
- Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Sebastian Vollmer
- Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
| | - Till Bärnighausen
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany
- Africa Health Research Institute (AHRI), Somkhele and Durban, South Africa
| | - Rifat Atun
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts, United States of America
| | - Pascal Geldsetzer
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Palo Alto, California, United States of America
| | - Jennifer Manne-Goehler
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Lindsay M. Jaacks
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Public Health Foundation of India, New Delhi, Delhi, India
- Global Academy of Agriculture and Food Security, The University of Edinburgh, Midlothian, United Kingdom
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3
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Patel JC, Soeters HM, Diallo AO, Bicaba BW, Kadadé G, Dembélé AY, Acyl MA, Nikiema C, Lingani C, Hatcher C, Acosta AM, Thomas JD, Diomande F, Martin S, Clark TA, Mihigo R, Hajjeh RA, Zilber CH, Aké F, Mbaeyi SA, Wang X, Moisi JC, Ronveaux O, Mwenda JM, Novak RT. MenAfriNet: A Network Supporting Case-Based Meningitis Surveillance and Vaccine Evaluation in the Meningitis Belt of Africa. J Infect Dis 2020; 220:S148-S154. [PMID: 31671453 DOI: 10.1093/infdis/jiz308] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Meningococcal meningitis remains a significant public health threat, especially in the African meningitis belt where Neisseria meningitidis serogroup A historically caused large-scale epidemics. With the rollout of a novel meningococcal serogroup A conjugate vaccine (MACV) in the belt, the World Health Organization recommended case-based meningitis surveillance to monitor MACV impact and meningitis epidemiology. In 2014, the MenAfriNet consortium was established to support strategic implementation of case-based meningitis surveillance in 5 key countries: Burkina Faso, Chad, Mali, Niger, and Togo. MenAfriNet aimed to develop a high-quality surveillance network using standardized laboratory and data collection protocols, develop sustainable systems for data management and analysis to monitor MACV impact, and leverage the surveillance platform to perform special studies. We describe the MenAfriNet consortium, its history, strategy, implementation, accomplishments, and challenges.
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Affiliation(s)
- Jaymin C Patel
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Heidi M Soeters
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Alpha Oumar Diallo
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | | | - Mahamat A Acyl
- Ministère de la Santé Publique du Tchad, N'Djamena, Tchad
| | | | - Clement Lingani
- World Health Organization, AFRO Intercountry Support Team for West Africa, Ouagadougou, Burkina Faso
| | - Cynthia Hatcher
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Anna M Acosta
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jennifer D Thomas
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Fabien Diomande
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Stacey Martin
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Thomas A Clark
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Richard Mihigo
- World Health Organization Regional Office for Africa, Brazzaville, Republic of the Congo
| | - Rana A Hajjeh
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Flavien Aké
- Davycas International, Ouagadougou, Burkina Faso
| | - Sarah A Mbaeyi
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Xin Wang
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jennifer C Moisi
- Agence de Médecine Préventive, Paris, France, Geneva, Switzerland
| | | | - Jason M Mwenda
- World Health Organization Regional Office for Africa, Brazzaville, Republic of the Congo
| | - Ryan T Novak
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
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Soeters HM, Diallo AO, Bicaba BW, Kadadé G, Dembélé AY, Acyl MA, Nikiema C, Sadji AY, Poy AN, Lingani C, Tall H, Sakandé S, Tarbangdo F, Aké F, Mbaeyi SA, Moïsi J, Paye MF, Sanogo YO, Vuong JT, Wang X, Ronveaux O, Novak RT. Bacterial Meningitis Epidemiology in Five Countries in the Meningitis Belt of Sub-Saharan Africa, 2015-2017. J Infect Dis 2020; 220:S165-S174. [PMID: 31671441 DOI: 10.1093/infdis/jiz358] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The MenAfriNet Consortium supports strategic implementation of case-based meningitis surveillance in key high-risk countries of the African meningitis belt: Burkina Faso, Chad, Mali, Niger, and Togo. We describe bacterial meningitis epidemiology in these 5 countries in 2015-2017. METHODS Case-based meningitis surveillance collects case-level demographic and clinical information and cerebrospinal fluid (CSF) laboratory results. Neisseria meningitidis, Streptococcus pneumoniae, or Haemophilus influenzae cases were confirmed and N. meningitidis/H. influenzae were serogrouped/serotyped by real-time polymerase chain reaction, culture, or latex agglutination. We calculated annual incidence in participating districts in each country in cases/100 000 population. RESULTS From 2015-2017, 18 262 suspected meningitis cases were reported; 92% had a CSF specimen available, of which 26% were confirmed as N. meningitidis (n = 2433; 56%), S. pneumoniae (n = 1758; 40%), or H. influenzae (n = 180; 4%). Average annual incidences for N. meningitidis, S. pneumoniae, and H. influenzae, respectively, were 7.5, 2.5, and 0.3. N. meningitidis incidence was 1.5 in Burkina Faso, 2.7 in Chad, 0.4 in Mali, 14.7 in Niger, and 12.5 in Togo. Several outbreaks occurred: NmC in Niger in 2015-2017, NmC in Mali in 2016, and NmW in Togo in 2016-2017. Of N. meningitidis cases, 53% were NmC, 30% NmW, and 13% NmX. Five NmA cases were reported (Burkina Faso, 2015). NmX increased from 0.6% of N. meningitidis cases in 2015 to 27% in 2017. CONCLUSIONS Although bacterial meningitis epidemiology varied widely by country, NmC and NmW caused several outbreaks, NmX increased although was not associated with outbreaks, and overall NmA incidence remained low. An effective low-cost multivalent meningococcal conjugate vaccine could help further control meningococcal meningitis in the region.
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Affiliation(s)
- Heidi M Soeters
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Alpha Oumar Diallo
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Goumbi Kadadé
- Ministère de la Santé Publique du Niger, Niamey, Niger
| | | | - Mahamat A Acyl
- Ministère de la Santé Publique du Tchad, N'Djamena, Tchad
| | | | - Adodo Yao Sadji
- Ministère de la Santé et de la Protection Sociale du Togo, Lomé, Togo
| | - Alain N Poy
- World Health Organization Regional Office for Africa, Brazzaville, Republic of the Congo
| | - Clement Lingani
- World Health Organization, AFRO Intercountry Support Team for West Africa
| | - Haoua Tall
- Agence de Médicine Préventive, Ouagadougou, Burkina Faso
| | | | | | - Flavien Aké
- Davycas International, Ouagadougou, Burkina Faso
| | - Sarah A Mbaeyi
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Marietou F Paye
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Yibayiri Osee Sanogo
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jeni T Vuong
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Xin Wang
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Ryan T Novak
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
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5
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Geldsetzer P, Manne-Goehler J, Marcus ME, Ebert C, Zhumadilov Z, Wesseh CS, Tsabedze L, Supiyev A, Sturua L, Bahendeka SK, Sibai AM, Quesnel-Crooks S, Norov B, Mwangi KJ, Mwalim O, Wong-McClure R, Mayige MT, Martins JS, Lunet N, Labadarios D, Karki KB, Kagaruki GB, Jorgensen JMA, Hwalla NC, Houinato D, Houehanou C, Msaidié M, Guwatudde D, Gurung MS, Gathecha G, Dorobantu M, Damasceno A, Bovet P, Bicaba BW, Aryal KK, Andall-Brereton G, Agoudavi K, Stokes A, Davies JI, Bärnighausen T, Atun R, Vollmer S, Jaacks LM. The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1·1 million adults. Lancet 2019; 394:652-662. [PMID: 31327566 DOI: 10.1016/s0140-6736(19)30955-9] [Citation(s) in RCA: 269] [Impact Index Per Article: 53.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Revised: 04/03/2019] [Accepted: 04/09/2019] [Indexed: 11/18/2022]
Abstract
BACKGROUND Evidence from nationally representative studies in low-income and middle-income countries (LMICs) on where in the hypertension care continuum patients are lost to care is sparse. This information, however, is essential for effective targeting of interventions by health services and monitoring progress in improving hypertension care. We aimed to determine the cascade of hypertension care in 44 LMICs-and its variation between countries and population groups-by dividing the progression in the care process, from need of care to successful treatment, into discrete stages and measuring the losses at each stage. METHODS In this cross-sectional study, we pooled individual-level population-based data from 44 LMICs. We first searched for nationally representative datasets from the WHO Stepwise Approach to Surveillance (STEPS) from 2005 or later. If a STEPS dataset was not available for a LMIC (or we could not gain access to it), we conducted a systematic search for survey datasets; the inclusion criteria in these searches were that the survey was done in 2005 or later, was nationally representative for at least three 10-year age groups older than 15 years, included measured blood pressure data, and contained data on at least two hypertension care cascade steps. Hypertension was defined as a systolic blood pressure of at least 140 mm Hg, diastolic blood pressure of at least 90 mm Hg, or reported use of medication for hypertension. Among those with hypertension, we calculated the proportion of individuals who had ever had their blood pressure measured; had been diagnosed with hypertension; had been treated for hypertension; and had achieved control of their hypertension. We weighted countries proportionally to their population size when determining this hypertension care cascade at the global and regional level. We disaggregated the hypertension care cascade by age, sex, education, household wealth quintile, body-mass index, smoking status, country, and region. We used linear regression to predict, separately for each cascade step, a country's performance based on gross domestic product (GDP) per capita, allowing us to identify countries whose performance fell outside of the 95% prediction interval. FINDINGS Our pooled dataset included 1 100 507 participants, of whom 192 441 (17·5%) had hypertension. Among those with hypertension, 73·6% of participants (95% CI 72·9-74·3) had ever had their blood pressure measured, 39·2% of participants (38·2-40·3) had been diagnosed with hypertension, 29·9% of participants (28·6-31·3) received treatment, and 10·3% of participants (9·6-11·0) achieved control of their hypertension. Countries in Latin America and the Caribbean generally achieved the best performance relative to their predicted performance based on GDP per capita, whereas countries in sub-Saharan Africa performed worst. Bangladesh, Brazil, Costa Rica, Ecuador, Kyrgyzstan, and Peru performed significantly better on all care cascade steps than predicted based on GDP per capita. Being a woman, older, more educated, wealthier, and not being a current smoker were all positively associated with attaining each of the four steps of the care cascade. INTERPRETATION Our study provides important evidence for the design and targeting of health policies and service interventions for hypertension in LMICs. We show at what steps and for whom there are gaps in the hypertension care process in each of the 44 countries in our study. We also identified countries in each world region that perform better than expected from their economic development, which can direct policy makers to important policy lessons. Given the high disease burden caused by hypertension in LMICs, nationally representative hypertension care cascades, as constructed in this study, are an important measure of progress towards achieving universal health coverage. FUNDING Harvard McLennan Family Fund, Alexander von Humboldt Foundation.
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Affiliation(s)
- Pascal Geldsetzer
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Jennifer Manne-Goehler
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA; Division of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Maja-Emilia Marcus
- Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany
| | - Cara Ebert
- Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany; RWI-Leibniz Institute for Economic Research, Berlin, Germany
| | - Zhaxybay Zhumadilov
- National Laboratory Astana, University Medical Center, Nazarbayev University, Astana, Kazakhstan
| | | | | | - Adil Supiyev
- Laboratory of Epidemiology and Public Health, Center for Life Sciences, Nazarbayev University, Astana, Kazakhstan
| | - Lela Sturua
- Non-Communicable Diseases Department, National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | - Abla M Sibai
- Epidemiology and Population Health Department, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Sarah Quesnel-Crooks
- Non-Communicable Diseases, Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago
| | - Bolormaa Norov
- National Center for Public Health, Ulaanbaatar, Mongolia
| | - Kibachio J Mwangi
- Division of Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya; The Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | | | - Roy Wong-McClure
- Office of Epidemiology and Surveillance, Costa Rican Social Security Fund, San José, Costa Rica
| | - Mary T Mayige
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - Joao S Martins
- Faculty of Medicine and Health Sciences, National University of East Timor, Dili, Timor-Leste
| | - Nuno Lunet
- Department of Public and Forensic Health Sciences and Medical Education, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Demetre Labadarios
- Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Khem B Karki
- Department of Community Medicine and Public Health, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal
| | | | | | - Nahla C Hwalla
- Faculty of Agricultural and Food Sciences, American University of Beirut, American University of Beirut, Beirut, Lebanon
| | - Dismand Houinato
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Corine Houehanou
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Mohamed Msaidié
- Ministry of Health, Solidarity, Social Cohesion and Gender, Government of Comoros, Moroni, Comoros
| | - David Guwatudde
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda
| | - Mongal S Gurung
- Health Research and Epidemiology Unit, Ministry of Health, Thimphu, Bhutan
| | - Gladwell Gathecha
- Division of Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya
| | - Maria Dorobantu
- Department of Cardiology, Emergency Hospital of Bucharest, Bucharest, Romania
| | - Albertino Damasceno
- Department of Public and Forensic Health Sciences and Medical Education, Faculty of Medicine, University of Porto, Porto, Portugal; EPIUnit, Institute of Public Health, University of Porto, Porto, Portugal; Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique
| | - Pascal Bovet
- Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland; Ministry of Health, Victoria, Seychelles
| | - Brice W Bicaba
- Institut Africain de Santé Publique, Ouagadougou, Burkina Faso
| | - Krishna K Aryal
- Department for International Development/Nepal Health Sector Programme 3/Monitoring Evaluation and Operational Research, Abt Associates, Kathmandu, Nepal
| | - Glennis Andall-Brereton
- Non-Communicable Diseases, Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago
| | | | - Andrew Stokes
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | - Justine I Davies
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of Witwatersrand, Johannesburg, South Africa; Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Till Bärnighausen
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA; Africa Health Research Institute, Somkhele, South Africa; Heidelberg Institute of Global Health, Faculty of Medicine, University of Heidelberg, Heidelberg, Germany.
| | - Rifat Atun
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Global Health and Social Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sebastian Vollmer
- Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany
| | - Lindsay M Jaacks
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA; Public Health Foundation of India, New Delhi, Delhi, India
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Woringer M, Martiny N, Porgho S, Bicaba BW, Bar-Hen A, Mueller JE. Atmospheric Dust, Early Cases, and Localized Meningitis Epidemics in the African Meningitis Belt: An Analysis Using High Spatial Resolution Data. Environ Health Perspect 2018; 126:97002. [PMID: 30192160 PMCID: PMC6375477 DOI: 10.1289/ehp2752] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Revised: 07/27/2018] [Accepted: 07/31/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Bacterial meningitis causes a high burden of disease in the African meningitis belt, with regular seasonal hyperendemicity and sporadic short, but intense, localized epidemics during the late dry season occurring at a small spatial scale [i.e., below the district level, in individual health centers (HCs)]. In addition, epidemic waves with larger geographic extent occur every 7-10 y. Although atmospheric dust load is thought to be an essential factor for hyperendemicity, its role for localized epidemics remains hypothetic. OBJECTIVES Our goal was to evaluate the association of localized meningitis epidemics in HC catchment areas with the dust load and the occurrence of cases in the same population early in the dry season. METHODS We compiled weekly reported cases of suspected bacterial meningitis at the HC resolution for 14 districts of Burkina Faso for the period 2004-2014. Using logistic regression, we evaluated the association of epidemic HC-weeks with atmospheric dust [approximated by the aerosol optical thickness (AOT) satellite product] and with the observation of early meningitis cases during October-December. RESULTS Although AOT was strongly associated with epidemic HC-weeks in crude analyses across all HC-weeks during the meningitis season [odds ratio (OR) [Formula: see text]; 95% CI: 4.90, 9.50], the association was no longer apparent when controlling for calendar week (OR [Formula: see text]; 95% CI: 0.60, 1.50). The number of early meningitis cases reported during October-December was associated with epidemic HC-weeks in the same HC catchment area during January-May of the following year (OR for each additional early case [Formula: see text]; 95% CI: 1.06, 1.21). CONCLUSIONS Spatial variations of atmospheric dust load do not seem to be a factor in the occurrence of localized meningitis epidemics, and the factor triggering them remains to be identified. The pathophysiological mechanism linking early cases to localized epidemics is not understood, but their occurrence and number of early cases could be an indicator for epidemic risk. https://doi.org/10.1289/EHP2752.
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Affiliation(s)
| | - Nadège Martiny
- 2 UMR6282 BIOGEOSCIENCES, University of Burgundy , Dijon, France
| | - Souleymane Porgho
- 3 Direction de la lutte contre la maladie, Ministry of Health , Ouagadougou, Burkina Faso
| | - Brice W Bicaba
- 3 Direction de la lutte contre la maladie, Ministry of Health , Ouagadougou, Burkina Faso
| | - Avner Bar-Hen
- 4 Conservatoire national d'arts et métiers (CNAM) , Paris, France
| | - Judith E Mueller
- 5 French School of Public Health (EHESP), Sorbonne Paris Cité , Paris, France
- 6 Institut Pasteur, Paris, France
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Millogo T, Bicaba BW, Soubeiga JK, Dabiré E, Médah I, Kouanda S. Diabetes and abnormal glucose regulation in the adult population of Burkina Faso: prevalence and predictors. BMC Public Health 2018; 18:350. [PMID: 29534705 PMCID: PMC5851249 DOI: 10.1186/s12889-018-5257-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 03/06/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The prevalence of diabetes mellitus (DM) is reportedly growing fast in sub-Saharan Africa. There is however a scarcity of epidemiologic data on DM in Burkina Faso. We carried out a secondary analysis of the first survey conducted in Burkina Faso on a nationally representative sample following the World Health Organization (WHO) Stepwise approach to risk factors Surveillance (STEPS) for non-communicable diseases (NCDs) with the aims of identifying the prevalence of NCDs and the prevalence of common risk factors for NCDs. We report here on the prevalence of diabetes and overall abnormal glucose regulation (AGR) and their associated risk factors. METHODS In the primary study 4800 individuals were randomly sampled using a stratified multistage clusters sampling process. We used fasting capillary whole blood glucose level to define three glucose regulation statuses using WHO's cut-off levels: normal, diabetes and overall abnormal glucose regulation (impaired fasting glucose and diabetes). Appropriate statistical techniques for the analysis of survey data were used to identify the factors associated with diabetes and abnormal glucose regulation fitting a logistic regression model. Analyses were carried out using Stata Version 14 software. RESULTS The prevalence of DM and AGR were respectively 5.8% (95% CI: 5-6.7) and 9% (95% CI: 8-10.1). Significant risk factors for DM include age (OR = 1.9; P = 0.009 for the age group of 55-64), obesity (OR: 2.6; P = 0.001), former smoke (OR:2; P = 0.03), second-hand smoke (OR = 1.7; P = 0.006) and total cholesterol level (OR: 2.1; P = 0.024). The same predictors were also found significantly associated with AGR. In addition, having an history family diabetes was protective against AGR (OR = 0.5; P = 0.032). CONCLUSION Diabetes is no longer a rare disease in the adult active population of Burkina Faso. Its burden is significant in both rural and urban areas. Health policies that promote healthy life style are needed to give precedence to the prevention in a context of an under-resourced country.
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Affiliation(s)
- Tieba Millogo
- Institut Africain de Santé publique (IASP), Ouagadougou, 12 BP 199 Burkina Faso
- Institut de recherche en sciences de la santé (IRSS), Ouagadougou 03, 03 BP 7102 Burkina Faso
| | - Brice W. Bicaba
- Institut Africain de Santé publique (IASP), Ouagadougou, 12 BP 199 Burkina Faso
- Ministry of Health, Ouagadougou, Burkina Faso
| | - Joseph Kouesyandé Soubeiga
- Institut Africain de Santé publique (IASP), Ouagadougou, 12 BP 199 Burkina Faso
- Ministry of Health, Ouagadougou, Burkina Faso
| | | | - Isaie Médah
- Ministry of Health, Ouagadougou, Burkina Faso
| | - Séni Kouanda
- Institut Africain de Santé publique (IASP), Ouagadougou, 12 BP 199 Burkina Faso
- Institut de recherche en sciences de la santé (IRSS), Ouagadougou 03, 03 BP 7102 Burkina Faso
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Mueller JE, Woringer M, Porgho S, Madec Y, Tall H, Martiny N, Bicaba BW. The association between respiratory tract infection incidence and localised meningitis epidemics: an analysis of high-resolution surveillance data from Burkina Faso. Sci Rep 2017; 7:11570. [PMID: 28912442 PMCID: PMC5599514 DOI: 10.1038/s41598-017-11889-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 08/30/2017] [Indexed: 12/03/2022] Open
Abstract
Meningococcal meningitis epidemics in the African meningitis belt consist of localised meningitis epidemics (LME) that reach attack proportions of 1% within a few weeks. A meningococcal serogroup A conjugate vaccine was introduced in meningitis belt countries from 2010 on, but LME due to other serogroups continue to occur. The mechanisms underlying LME are poorly understood, but an association with respiratory pathogens has been hypothesised. We analysed national routine surveillance data in high spatial resolution (health centre level) from 13 districts in Burkina Faso, 2004–2014. We defined LME as a weekly incidence rate of suspected meningitis ≥75 per 100,000 during ≥2 weeks; and high incidence episodes of respiratory tract infections (RTI) as the 5th quintile of monthly incidences. We included 10,334 health centre month observations during the meningitis season (January-May), including 85 with LME, and 1891 (1820) high-incidence episodes of upper (lower) RTI. In mixed effects logistic regression accounting for spatial structure, and controlling for dust conditions, relative air humidity and month, the occurrence of LME was strongly associated with high incidence episodes of upper (odds ratio 23.9, 95%-confidence interval 3.1–185.3), but not lower RTI. In the African meningitis belt, meningitis epidemics may be triggered by outbreaks of upper RTI.
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Affiliation(s)
- Judith E Mueller
- EHESP French School of Public Health, Sorbonne Paris Cité, Paris, France. .,Institut Pasteur, Paris, France.
| | | | - Souleymane Porgho
- Direction de la lutte contre la maladie, Ministry of Health, Ouagadougou, Burkina Faso
| | | | - Haoua Tall
- Agence de Médecine Préventive, Ouagadougou, Burkina Faso
| | - Nadège Martiny
- UMR6282 BIOGEOSCIENCES, University of Burgundy, Dijon, France
| | - Brice W Bicaba
- Direction de la lutte contre la maladie, Ministry of Health, Ouagadougou, Burkina Faso
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Soubeiga JK, Millogo T, Bicaba BW, Doulougou B, Kouanda S. Prevalence and factors associated with hypertension in Burkina Faso: a countrywide cross-sectional study. BMC Public Health 2017; 17:64. [PMID: 28077112 PMCID: PMC5225558 DOI: 10.1186/s12889-016-3926-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 12/09/2016] [Indexed: 12/26/2022] Open
Abstract
Background High blood pressure (HBP) is an increasing public health issue for developing countries. HBP is an important contributing factor to many non-communicable diseases that were until very recently thought to be rare in developing countries. There is not enough evidence on its burden and risk factors in Africa. We report in this study on the prevalence and factors associated with HBP in the adult and active population of Burkina Faso from a nationally representative sample. Methods We conducted a secondary analysis of data from the World Health Organization (WHO) Stepwise approach to Surveillance(STEPS) survey on the prevalence of major risk factors for non-communicable diseases in Burkina Faso. This survey was conducted between September 26 and November 18, 2013 and involved a nationally representative sample of 4,800 adults aged 25 to 64 years. The risk factors were identified using a binary logistic regression in STATA Version 13.1 software. Results The analysis was conducted on a sample of 4629 participants of whom 72.18% lived in rural areas. The overall prevalence of hypertension in Burkina Faso was 18% (95% CI: 16.19%–19.96%). In urban areas the prevalence was 24.81% (95% CI 20.21%–30.07%) and 15.37% (95% CI 13.67%–17.24%) in rural areas. Increased Body Mass Index (BMI) and older age were consistently associated with higher odds of HBP in both residential areas. In addition, being of male sex, fat intake, family history of HBP and low level of HDL cholesterol were significantly associated with increased odds of HBP in rural residents. Conclusion The prevalence of hypertension is high in Burkina Faso with roughly one person in five affected. There is a predominant burden in urban areas with prevalence of ten-point percent higher compared to rural area. Modifiable risk factors should be targeted with appropriate and effective strategies to curb the rising burden of hypertension and its consequences.
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Affiliation(s)
| | - Tieba Millogo
- Institut Africain de Santé publique (IASP) & Institut de recherche en sciences de la santé (IRSS), 03 BP 7102, Ouagadougou, Burkina Faso. .,Institut Africain de Santé publique (IASP), USTA, Saaba, Bâtiment C, 12 BP 199, Ouagadougou, Burkina Faso.
| | - Brice W Bicaba
- Institut Africain de Santé publique (IASP) & Ministry of Health, Ouagadougou, Burkina Faso
| | - Boukare Doulougou
- Institut de recherche en sciences de la santé (IRSS), Ouagadougou, Burkina Faso
| | - Séni Kouanda
- Institut Africain de Santé publique (IASP) & Institut de recherche en sciences de la santé (IRSS), 03 BP 7102, Ouagadougou, Burkina Faso
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