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Muturi M, Mwatondo A, Nijhof AM, Akoko J, Nyamota R, Makori A, Nyamai M, Nthiwa D, Wambua L, Roesel K, Thumbi SM, Bett B. Ecological and subject-level drivers of interepidemic Rift Valley fever virus exposure in humans and livestock in Northern Kenya. Sci Rep 2023; 13:15342. [PMID: 37714941 PMCID: PMC10504342 DOI: 10.1038/s41598-023-42596-y] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023] Open
Abstract
Nearly a century after the first reports of Rift Valley fever (RVF) were documented in Kenya, questions on the transmission dynamics of the disease remain. Specifically, data on viral maintenance in the quiescent years between epidemics is limited. We implemented a cross-sectional study in northern Kenya to determine the seroprevalence, risk factors, and ecological predictors of RVF in humans and livestock during an interepidemic period. Six hundred seventy-six human and 1,864 livestock samples were screened for anti-RVF Immunoglobulin G (IgG). Out of the 1,864 livestock samples tested for IgG, a subset of 1,103 samples was randomly selected for additional testing to detect the presence of anti-RVFV Immunoglobulin M (IgM). The anti-RVF virus (RVFV) IgG seropositivity in livestock and humans was 21.7% and 28.4%, respectively. RVFV IgM was detected in 0.4% of the livestock samples. Participation in the slaughter of livestock and age were positively associated with RVFV exposure in humans, while age was a significant factor in livestock. We detected significant interaction between rainfall and elevation's influence on livestock seropositivity, while in humans, elevation was negatively associated with RVF virus exposure. The linear increase of human and livestock exposure with age suggests an endemic transmission cycle, further corroborated by the detection of IgM antibodies in livestock.
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Affiliation(s)
- Mathew Muturi
- Department of Veterinary Medicine, Dahlem Research School of Biomedical Sciences (DRS), Freie Universität Berlin, Berlin, Germany.
- International Livestock Research Institute, Nairobi, Kenya.
- Kenya Zoonotic Disease Unit, Ministry of Health and Ministry of Agriculture, Nairobi, Kenya.
- Center for Epidemiological Modelling and Analysis-University of Nairobi, Nairobi, Kenya.
| | - Athman Mwatondo
- International Livestock Research Institute, Nairobi, Kenya
- Kenya Zoonotic Disease Unit, Ministry of Health and Ministry of Agriculture, Nairobi, Kenya
- Department of Medical Microbiology and Immunology, University of Nairobi, Nairobi, Kenya
| | - Ard M Nijhof
- Veterinary Centre for Resistance Research, Freie Universität Berlin, Berlin, Germany
- Institute for Parasitology and Tropical Veterinary Medicine, Freie Univesität Berlin, Berlin, Germany
| | - James Akoko
- International Livestock Research Institute, Nairobi, Kenya
| | | | - Anita Makori
- Center for Epidemiological Modelling and Analysis-University of Nairobi, Nairobi, Kenya
- Paul G Allen School for Global Health, Washington State University, Pullman, WA, USA
| | - Mutono Nyamai
- Center for Epidemiological Modelling and Analysis-University of Nairobi, Nairobi, Kenya
- Paul G Allen School for Global Health, Washington State University, Pullman, WA, USA
| | - Daniel Nthiwa
- Department of Biological Sciences, University of Embu, Embu, Kenya
| | - Lilian Wambua
- International Livestock Research Institute, Nairobi, Kenya
| | | | - S M Thumbi
- Center for Epidemiological Modelling and Analysis-University of Nairobi, Nairobi, Kenya
- Paul G Allen School for Global Health, Washington State University, Pullman, WA, USA
- Institute for Immunology and Infection Research, University of Edinburgh, Edinburgh, Scotland, UK
| | - Bernard Bett
- International Livestock Research Institute, Nairobi, Kenya
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Muema J, Nyamai M, Wheelhouse N, Njuguna J, Jost C, Oyugi J, Bukania Z, Oboge H, Ogoti B, Makori A, Fernandez MDP, Omulo S, Thumbi S. Endemicity of Coxiella burnetii infection among people and their livestock in pastoral communities in northern Kenya. Heliyon 2022; 8:e11133. [PMID: 36303929 PMCID: PMC9593183 DOI: 10.1016/j.heliyon.2022.e11133] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 07/26/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022] Open
Abstract
Background Coxiella burnetti can be transmitted to humans primarily through inhaling contaminated droplets released from infected animals or consumption of contaminated dairy products. Despite its zoonotic nature and the close association pastoralist communities have with their livestock, studies reporting simultaneous assessment of C. burnetti exposure and risk-factors among people and their livestock are scarce. Objective This study therefore estimated the seroprevalence of Q-fever and associated risk factors of exposure in people and their livestock. Materials and methods We conducted a cross-sectional study in pastoralist communities in Marsabit County in northern Kenya. A total of 1,074 women and 225 children were enrolled and provided blood samples for Q-fever testing. Additionally, 1,876 goats, 322 sheep and 189 camels from the same households were sampled. A structured questionnaire was administered to collect individual- and household/herd-level data. Indirect IgG ELISA kits were used to test the samples. Results Household-level seropositivity was 13.2% [95% CI: 11.2–15.3]; differences in seropositivity levels among women and children were statistically insignificant (p = 0.8531). Lactating women had higher odds of exposure, odds ratio (OR) = 2.4 [1.3–5.3], while the odds of exposure among children increased with age OR = 1.1 [1.0–1.1]. Herd-level seroprevalence was 83.7% [81.7–85.6]. Seropositivity among goats was 74.7% [72.7–76.7], while that among sheep and camels was 56.8% [51.2–62.3] and 38.6% [31.6–45.9], respectively. Goats and sheep had a higher risk of exposure OR = 5.4 [3.7–7.3] and 2.6 [1.8–3.4], respectively relative to camels. There was no statistically significant association between Q-fever seropositivity and nutrition status in women, p = 0.900 and children, p = 1.000. We found no significant association between exposure in people and their livestock at household level (p = 0.724) despite high animal exposure levels, suggesting that Q-fever exposure in humans may be occurring at a scale larger than households. Conclusion The one health approach used in this study revealed that Q-fever is endemic in this setting. Longitudinal studies of Q-fever burden and risk factors simultaneously assessed in human and animal populations as well as the socioeconomic impacts of the disease and further explore the role of environmental factors in Q-fever epidemiology are required. Such evidence may form the basis for designing Q-fever prevention and control strategies.
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Affiliation(s)
- Josphat Muema
- Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya,Washington State University Global Health Program – Kenya, Nairobi, Kenya,Feed the Future Innovation Lab for Animal Health, Washington State University, USA,Corresponding author.
| | - Mutono Nyamai
- Washington State University Global Health Program – Kenya, Nairobi, Kenya,Feed the Future Innovation Lab for Animal Health, Washington State University, USA,Center for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya
| | | | - Joseph Njuguna
- Food and Agriculture Organization of the United Nations, Nairobi, Kenya
| | - Christine Jost
- United States Agency for International Development's Bureau for Humanitarian Assistance (USAID/BHA), Washington, DC, USA,Global Health Support Initiative III, Social Solutions International, Washington DC, USA
| | - Julius Oyugi
- Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya
| | - Zipporah Bukania
- Center for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Harriet Oboge
- Washington State University Global Health Program – Kenya, Nairobi, Kenya,Feed the Future Innovation Lab for Animal Health, Washington State University, USA
| | - Brian Ogoti
- Washington State University Global Health Program – Kenya, Nairobi, Kenya,Center for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya
| | - Anita Makori
- Washington State University Global Health Program – Kenya, Nairobi, Kenya,Center for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya
| | | | - Sylvia Omulo
- Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya,Feed the Future Innovation Lab for Animal Health, Washington State University, USA,Paul G. Allen School for Global Health, Washington State University, Pullman, USA
| | - S.M. Thumbi
- Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya,Feed the Future Innovation Lab for Animal Health, Washington State University, USA,Center for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya,Paul G. Allen School for Global Health, Washington State University, Pullman, USA,South African Center for Epidemiological Modelling Analysis, South Africa,Institute of Immunology and Infection Research, University of Edinburgh, UK
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Kimani TN, Nyamai M, Owino L, Makori A, Ombajo LA, Maritim M, Anzala O, Thumbi SM. Infectious disease modelling for SARS-CoV-2 in Africa to guide policy: A systematic review. Epidemics 2022; 40:100610. [PMID: 35868211 PMCID: PMC9281458 DOI: 10.1016/j.epidem.2022.100610] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 06/13/2022] [Accepted: 07/12/2022] [Indexed: 01/21/2023] Open
Abstract
Applied epidemiological models have played a critical role in understanding the transmission and control of disease outbreaks. Their utility and accuracy in decision-making on appropriate responses during public health emergencies is however a factor of their calibration to local data, evidence informing model assumptions, speed of obtaining and communicating their results, ease of understanding and willingness by policymakers to use their insights. We conducted a systematic review of infectious disease models focused on SARS-CoV-2 in Africa to determine: a) spatial and temporal patterns of SARS-CoV-2 modelling in Africa, b) use of local data to calibrate the models and local expertise in modelling activities, and c) key modelling questions and policy insights. We searched PubMed, Embase, Web of Science and MedRxiv databases following the PRISMA guidelines to obtain all SARS-CoV-2 dynamic modelling papers for one or multiple African countries. We extracted data on countries studied, authors and their affiliations, modelling questions addressed, type of models used, use of local data to calibrate the models, and model insights for guiding policy decisions. A total of 74 papers met the inclusion criteria, with nearly two-thirds of these coming from 6% (3) of the African countries. Initial papers were published 2 months after the first cases were reported in Africa, with most papers published after the first wave. More than half of all papers (53, 78%) and (48, 65%) had a first and last author affiliated to an African institution respectively, and only 12% (9) used local data for model calibration. A total of 60% (46) of the papers modelled assessment of control interventions. The transmission rate parameter was found to drive the most uncertainty in the sensitivity analysis for majority of the models. The use of dynamic models to draw policy insights was crucial and therefore there is need to increase modelling capacity in the continent.
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Affiliation(s)
- Teresia Njoki Kimani
- KAVI-Institute of Clinical Research, University of Nairobi, Kenya; Center for Epidemiological Modelling and Analysis, University of Nairobi, Kenya; Paul G Allen School for Global Animal Health, Washington State University, United States; Ministry of Health Kenya, Kiambu County, Kenya.
| | - Mutono Nyamai
- Center for Epidemiological Modelling and Analysis, University of Nairobi, Kenya; Paul G Allen School for Global Animal Health, Washington State University, United States; Institute of Tropical and Infectious Diseases, University of Nairobi, Kenya
| | - Lillian Owino
- Center for Epidemiological Modelling and Analysis, University of Nairobi, Kenya; Institute of Tropical and Infectious Diseases, University of Nairobi, Kenya
| | - Anita Makori
- Center for Epidemiological Modelling and Analysis, University of Nairobi, Kenya; Paul G Allen School for Global Animal Health, Washington State University, United States; Institute of Tropical and Infectious Diseases, University of Nairobi, Kenya
| | - Loice Achieng Ombajo
- Center for Epidemiological Modelling and Analysis, University of Nairobi, Kenya; Department of Clinical Medicine and Therapeutics, University of Nairobi, Kenya
| | - MaryBeth Maritim
- Department of Clinical Medicine and Therapeutics, University of Nairobi, Kenya
| | - Omu Anzala
- KAVI-Institute of Clinical Research, University of Nairobi, Kenya
| | - S M Thumbi
- Center for Epidemiological Modelling and Analysis, University of Nairobi, Kenya; Paul G Allen School for Global Animal Health, Washington State University, United States; Institute of Tropical and Infectious Diseases, University of Nairobi, Kenya; Department of Clinical Medicine and Therapeutics, University of Nairobi, Kenya; South African Center for Epidemiological Modelling and Analysis, South Africa; Institute of Immunology and Infection Research, University of Edinburgh, Scotland
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Kiarie H, Temmerman M, Nyamai M, Liku N, Thuo W, Oramisi V, Nyaga L, Karimi J, Wamalwa P, Gatheca G, Mwenda V, Ombajo LA, Thumbi SM. The COVID-19 pandemic and disruptions to essential health services in Kenya: a retrospective time-series analysis. Lancet Glob Health 2022; 10:e1257-e1267. [PMID: 35961349 PMCID: PMC9363041 DOI: 10.1016/s2214-109x(22)00285-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 06/16/2022] [Accepted: 06/22/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND Public health emergencies can disrupt the provision of and access to essential health-care services, exacerbating health crises. We aimed to assess the effect of the COVID-19 pandemic on essential health-care services in Kenya. METHODS Using county-level data routinely collected from the health information system from health facilities across the country, we used a robust mixed-effect model to examine changes in 17 indicators of essential health services across four periods: the pre-pandemic period (from January, 2018 to February, 2020), two pandemic periods (from March to November 2020, and February to October, 2021), and the period during the COVID-19-associated health-care workers' strike (from December, 2020 to January, 2021). FINDINGS In the pre-pandemic period, we observed a positive trend for multiple indicators. The onset of the pandemic was associated with statistically significant decreases in multiple indicators, including outpatient visits (28·7%; 95% CI 16·0-43·5%), cervical cancer screening (49·8%; 20·6-57·9%), number of HIV tests conducted (45·3%; 23·9-63·0%), patients tested for malaria (31·9%; 16·7-46·7%), number of notified tuberculosis cases (26·6%; 14·7-45·1%), hypertension cases (10·4%; 6·0-39·4%), vitamin A supplements (8·7%; 7·9-10·5%), and three doses of the diphtheria, tetanus toxoid, and pertussis vaccine administered (0·9%; 0·5-1·3%). Pneumonia cases reduced by 50·6% (31·3-67·3%), diarrhoea by 39·7% (24·8-62·7%), and children attending welfare clinics by 39·6% (23·5-47·1%). Cases of sexual violence increased by 8·0% (4·3-25·0%). Skilled deliveries, antenatal care, people with HIV infection newly started on antiretroviral therapy, confirmed cases of malaria, and diabetes cases detected were not significantly affected negatively. Although most of the health indicators began to recover during the pandemic, the health-care workers' strike resulted in nearly all indicators falling to numbers lower than those observed at the onset or during the pre-strike pandemic period. INTERPRETATION The COVID-19 pandemic and the associated health-care workers' strike in Kenya have been associated with a substantial disruption of essential health services, with the use of outpatient visits, screening and diagnostic services, and child immunisation adversely affected. Efforts to maintain the provision of these essential health services during a health-care crisis should target the susceptible services to prevent the exacerbation of associated disease burdens during such health crises. FUNDING Bill & Melinda Gates Foundation.
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Affiliation(s)
- Helen Kiarie
- Division of Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya
| | - Marleen Temmerman
- Centre of Excellence in Women and Child Health, Aga Khan University, Nairobi, Kenya
| | - Mutono Nyamai
- Centre for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya; Paul G Allen School for Global Health, Washington State University, Pullman, WA, USA
| | - Nzisa Liku
- Division of Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya; Paul G Allen School for Global Health, Washington State University, Pullman, WA, USA
| | - Wangari Thuo
- Centre for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya
| | - Violet Oramisi
- National AIDS and STIs Control Programme, Ministry of Health, Nairobi, Kenya
| | - Lilly Nyaga
- Division of Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya
| | - Janette Karimi
- Division of Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya
| | | | - Gladwell Gatheca
- Division of Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya
| | - Valerian Mwenda
- Division of Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya
| | - Loice Achieng Ombajo
- Centre for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya; Department of Clinical Medicine and Therapeutics, College of Health Sciences, University of Nairobi, Nairobi, Kenya
| | - S M Thumbi
- Centre for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya; Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya; Paul G Allen School for Global Health, Washington State University, Pullman, WA, USA; Institute of Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
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Muema J, Oyugi J, Bukania Z, Nyamai M, Jost C, Daniel T, Njuguna J, Thumbi SM. Impact of livestock interventions on maternal and child nutrition outcomes in Africa: A systematic review and meta-analysis protocol. AAS Open Res 2021; 4:1. [PMID: 34761161 PMCID: PMC8552048 DOI: 10.12688/aasopenres.13150.2] [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] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/23/2021] [Indexed: 11/20/2022] Open
Abstract
The challenge of undernutrition (stunting and wasting) still remains a major health concern in children below 5 years of age in Africa, with the continent accounting for more than one third of all stunted children and more than one quarter of all wasted children globally. Despite the growing evidence on the role of agriculture interventions in improving nutrition, empirical evidence on the impact of livestock intervention on nutrition in Africa is scant. This review is aimed at determining whether livestock interventions are effective in reducing undernutrition in children below five years of age and in pregnant and lactating women in Africa. The review will be conducted according to PRISMA guidelines. Major electronic databases will be searched and complemented with grey and non-indexed literature from google and google scholar, and expert consultation for additional articles and reports. PICO criteria will be used while employing search strategies including MeSH, Boolean search operators and truncation/wildcard symbol to narrow or broaden the search. Articles on effect of livestock interventions on maternal and child nutrition conducted in Africa that meet the set inclusion criteria will be included in the review after critical appraisal by two independent reviewers. A standardized form will be used to extract data from included studies. The extracted data will be summarized and synthesized both qualitatively and quantitatively and key outcomes presented. Evidence generated from the systematic review and meta-analysis will be important for guiding nutrition sensitive livestock interventions and policies on nutrition programming, specifically on how to leverage on livestock interventions to reduce the burden of undernutrition.
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Affiliation(s)
- Josphat Muema
- Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya
- Washington State University, Global Health Program - Kenya, Nairobi, Kenya
| | - Julius Oyugi
- Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya
| | - Zipporah Bukania
- Centre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Mutono Nyamai
- Washington State University, Global Health Program - Kenya, Nairobi, Kenya
- Wangari Maathai Institute of Peace and Environmental studies, University of Nairobi, Nairobi, Kenya
| | - Christine Jost
- United States Agency for International Development’s office for U.S Disaster Assistance, Washington, DC, USA
| | | | - Joseph Njuguna
- Food and Agriculture Organization of the United Nations, Nairobi, Kenya
| | - Samuel Mwangi Thumbi
- Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya
- Washington State University, Global Health Program - Kenya, Nairobi, Kenya
- Centre for Global Health Research, Kenya Medical Research Institute,, Nairobi, Kenya
- Paul G. Allen School for Global Animal Health, Washington State University, Pullman, USA
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Muturi M, Akoko J, Nthiwa D, Chege B, Nyamota R, Mutiiria M, Maina J, Thumbi SM, Nyamai M, Kahariri S, Sitawa R, Kimutai J, Kuria W, Mwatondo A, Bett B. Serological evidence of single and mixed infections of Rift Valley fever virus, Brucella spp. and Coxiella burnetii in dromedary camels in Kenya. PLoS Negl Trop Dis 2021; 15:e0009275. [PMID: 33770095 PMCID: PMC7997034 DOI: 10.1371/journal.pntd.0009275] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 02/26/2021] [Indexed: 12/21/2022] Open
Abstract
Camels are increasingly becoming the livestock of choice for pastoralists reeling from effects of climate change in semi-arid and arid parts of Kenya. As the population of camels rises, better understanding of their role in the epidemiology of zoonotic diseases in Kenya is a public health priority. Rift Valley fever (RVF), brucellosis and Q fever are three of the top priority diseases in the country but the involvement of camels in the transmission dynamics of these diseases is poorly understood. We analyzed 120 camel serum samples from northern Kenya to establish seropositivity rates of the three pathogens and to characterize the infecting Brucella species using molecular assays. We found seropositivity of 24.2% (95% confidence interval [CI]: 16.5–31.8%) for Brucella, 20.8% (95% CI: 13.6–28.1%) and 14.2% (95% CI: 7.9–20.4%) for Coxiella burnetii and Rift valley fever virus respectively. We found 27.5% (95% CI: 19.5–35.5%) of the animals were seropositive for at least one pathogen and 13.3% (95% CI: 7.2–19.4%) were seropositive for at least two pathogens. B. melitensis was the only Brucella spp. detected. The high sero-positivity rates are indicative of the endemicity of these pathogens among camel populations and the possible role the species has in the epidemiology of zoonotic diseases. Considering the strong association between human infection and contact with livestock for most zoonotic infections in Kenya, there is immediate need to conduct further research to determine the role of camels in transmission of these zoonoses to other livestock species and humans. This information will be useful for designing more effective surveillance systems and intervention measures. Dromedary camels are well adapted to the arid and semi-arid environment that makes up about 80% of Kenya’s landmass. As such, camels play an important role in the socio-economic wellbeing and food security of pastoralists in the country. However, the species remains relatively neglected in scientific research, one of the main reasons being camels are mostly found in remote, low-income, arid regions of Africa and Asia. We carried out a study to determine the levels of exposure of camels in northern Kenya to Brucella spp., Coxiella burnetii and Rift Valley fever virus, three priority zoonotic pathogens in the country. We found high levels of exposure to the three pathogens, indicating the important role camels might play in the epidemiology of the zoonotic diseases in humans and other livestock. Based on the study findings, we argue for the immediate need for investments in disease surveillance and control strategies for priority zoonotic disease in camels in Kenya.
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Affiliation(s)
- Mathew Muturi
- Zoonotic Disease Unit Nairobi, Nairobi, Kenya
- International Livestock Research Institute, Nairobi, Kenya
- * E-mail:
| | - James Akoko
- International Livestock Research Institute, Nairobi, Kenya
| | - Daniel Nthiwa
- Department of Biological Sciences, University of Embu, Embu, Kenya
| | | | | | | | - Josphat Maina
- Zoonotic Disease Unit Nairobi, Nairobi, Kenya
- International Livestock Research Institute, Nairobi, Kenya
| | - S. M. Thumbi
- Center for Epidemiological and Modelling Analysis, University of Nairobi Institute of Tropical and Infectious Diseases, Nairobi, Kenya
- Institute of Immunology and Infection Research, University of Edinburgh, Edinburgh, United Kingdom
- Paul G Allen School for Global Health, Washington State University, Pullman, Washington, United States of America
| | - Mutono Nyamai
- Center for Epidemiological and Modelling Analysis, University of Nairobi Institute of Tropical and Infectious Diseases, Nairobi, Kenya
- Paul G Allen School for Global Health, Washington State University, Pullman, Washington, United States of America
| | - Samuel Kahariri
- Kenya Directorate of Veterinary Services, Ministry of Agriculture, Livestock and Fisheries, Nairobi, Kenya
| | - Rinah Sitawa
- Food and Agriculture Organization of the United Nations, Nairobi, Kenya
| | - Joshua Kimutai
- Food and Agriculture Organization of the United Nations, Nairobi, Kenya
| | - Wilson Kuria
- Kenya Directorate of Veterinary Services, Ministry of Agriculture, Livestock and Fisheries, Nairobi, Kenya
| | - Athman Mwatondo
- Zoonotic Disease Unit Nairobi, Nairobi, Kenya
- International Livestock Research Institute, Nairobi, Kenya
| | - Bernard Bett
- International Livestock Research Institute, Nairobi, Kenya
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Muema J, Oyugi J, Bukania Z, Nyamai M, Jost C, Daniel T, Njuguna J, Thumbi SM. Impact of livestock interventions on maternal and child nutrition outcomes in Africa: A systematic review and meta-analysis protocol. AAS Open Res 2021; 4:1. [PMID: 34761161 PMCID: PMC8552048 DOI: 10.12688/aasopenres.13150.1] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/13/2020] [Indexed: 04/04/2024] Open
Abstract
The challenge of undernutrition (stunting and wasting) still remains a major health concern in children below 5 years of age in Africa, with the continent accounting for more than one third of all stunted children and more than one quarter of all wasted children globally. Despite the growing evidence on the role of agriculture interventions in improving nutrition, empirical evidence on the impact of livestock intervention on nutrition in Africa is scant. This review is aimed at determining whether livestock interventions are effective in reducing undernutrition in children below five years of age and in pregnant and lactating women in Africa. The review will be conducted according to PRISMA guidelines. Major electronic databases will be searched and complemented with grey and non-indexed literature from google and google scholar, and expert consultation for additional articles and reports. PICO criteria will be used while employing search strategies including MeSH, Boolean search operators and truncation/wildcard symbol to narrow or broaden the search. Articles on effect of livestock interventions on maternal and child nutrition conducted in Africa that meet the set inclusion criteria will be included in the review after critical appraisal by two independent reviewers. A standardized form will be used to extract data from included studies. The extracted data will be summarized and synthesized both qualitatively and quantitatively and key outcomes presented. Evidence generated from the systematic review and meta-analysis will be important for guiding nutrition sensitive livestock interventions and policies on nutrition programming, specifically on how to leverage on livestock interventions to reduce the burden of undernutrition.
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Affiliation(s)
- Josphat Muema
- Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya
- Washington State University, Global Health Program - Kenya, Nairobi, Kenya
| | - Julius Oyugi
- Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya
| | - Zipporah Bukania
- Centre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Mutono Nyamai
- Washington State University, Global Health Program - Kenya, Nairobi, Kenya
- Wangari Maathai Institute of Peace and Environmental studies, University of Nairobi, Nairobi, Kenya
| | - Christine Jost
- United States Agency for International Development’s office for U.S Disaster Assistance, Washington, DC, USA
| | | | - Joseph Njuguna
- Food and Agriculture Organization of the United Nations, Nairobi, Kenya
| | - Samuel Mwangi Thumbi
- Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya
- Washington State University, Global Health Program - Kenya, Nairobi, Kenya
- Centre for Global Health Research, Kenya Medical Research Institute,, Nairobi, Kenya
- Paul G. Allen School for Global Animal Health, Washington State University, Pullman, USA
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Bolon I, Mason J, O'Keeffe P, Haeberli P, Adan HA, Karenzi JM, Osman AA, Thumbi SM, Chuchu V, Nyamai M, Babo Martins S, Wipf NC, Ruiz de Castañeda R. One Health education in Kakuma refugee camp (Kenya): From a MOOC to projects on real world challenges. One Health 2020; 10:100158. [PMID: 32844109 PMCID: PMC7439830 DOI: 10.1016/j.onehlt.2020.100158] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/17/2020] [Accepted: 08/02/2020] [Indexed: 01/06/2023] Open
Abstract
Today, the world counts millions of refugees but only a fraction of them have access to higher education. Despite the multiple public health problems in refugee camps and the need to build local capacities to prevent and combat them, University level courses in public health are largely unavailable for refugees. This paper describes the development, implementation and evaluation of an innovative two-module blended-learning programme on One Health in Kakuma refugee camp (Kenya). This programme combines: (I) Interdisciplinary and multi-expert MOOC on "Global Health at the Human-Animal-Ecosystem interface"; (II) peer-to-peer learning involving students from University of Geneva Master of science in Global Health and research collaborations around specific and locally-relevant problems; (III) online mentoring and lecturing by experts from the Institute of Global Health of the University of Geneva in Kakuma. A total of 67 refugees applied to Module 1; 15 started the Module 1 in October 2017, of these 14 completed it and 6 passed the exams, finally five students started the Module 2 in October 2018 which they all passed in February 2019. Five student-led collaborative projects were developed focusing on the conception of a community-based monitoring system for prevalent diseases in the camp. With such a pedagogic approach, the programme provides an overview on Global Health challenges at the human-animal-ecosystem interface and the importance of the One Health approach, and introduces students to scientific research through interdisciplinary and international collaborations and innovation. The high number of applicants and positive feedback from students in Kakuma show the interest in One Health education in the camp. This learning experience ultimately aims at building local knowledge and capacity fostering "One Health" champions to reinforce local and national health system. This framework for One Health education could be potentially scaled up to other camps in Africa and the world.
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Affiliation(s)
- Isabelle Bolon
- Institute of Global Health, Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Campus Biotech, Chemin des Mines 9, CH-1202 Geneva, Switzerland
| | - Jade Mason
- Institute of Global Health, Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Campus Biotech, Chemin des Mines 9, CH-1202 Geneva, Switzerland
| | - Paul O'Keeffe
- InZone, University of Geneva, Global Studies Institute, Sciences II, 30, Quai Ernest Ansermet, CH-1211 Geneva 4, Switzerland
| | - Philippe Haeberli
- Pôle de soutien à l'enseignement et l'apprentissage, University of Geneva, Rue du Conseil-Général 10, CH-1205 Geneva, Switzerland
| | | | | | | | - Samuel Mwangi Thumbi
- Institute of Tropical and Infectious Diseases, University of Nairobi, P.O. Box 19676, 00202 Nairobi, Kenya
- Paul G Allen School for Global Animal Health, Washington State University, Allen Center, P.O. Box 647090, 1155 College Ave., Pullman, WA 99164, USA
| | - Veronicah Chuchu
- Department of Public Health, Pharmacology and Toxicology, University of Nairobi, P.O. Box 29053, 00625 Nairobi, Kenya
| | - Mutono Nyamai
- Institute of Tropical and Infectious Diseases, University of Nairobi, P.O. Box 19676, 00202 Nairobi, Kenya
- Washington State University – Global Health Program, Institute of Tropical and Infectious Diseases, P.O. Box 19676, 00202 Nairobi, Kenya
| | - Sara Babo Martins
- Institute of Global Health, Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Campus Biotech, Chemin des Mines 9, CH-1202 Geneva, Switzerland
| | - Nadja C. Wipf
- Vector Control Group, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, 4002, Basel, Switzerland
- University of Basel, Petersplatz 1, P.O. Box, 4001, Basel, Switzerland
| | - Rafael Ruiz de Castañeda
- Institute of Global Health, Department of Community Health and Medicine, Faculty of Medicine, University of Geneva, Campus Biotech, Chemin des Mines 9, CH-1202 Geneva, Switzerland
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Gachohi J, Bett B, Karanja S, Kikuvi G, Nyamai M, Mwangi T, Njenga K. A systematic mapping protocol of methods and practices employed in ecological niche modelling of anthrax. Global Epidemiology 2019. [DOI: 10.1016/j.gloepi.2019.100014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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