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DOI10.1073/pnas.2003722118
Using data-driven approaches to improve delivery of animal health care interventions for public health
Mazeri S.; Burdon Bailey J.L.; Mayer D.; Chikungwa P.; Chulu J.; Grossman P.O.; Lohr F.; Gibson A.D.; Handel I.G.; deC. Bronsvoort B.M.; Gamble L.; Mellanby R.J.
发表日期2021
ISSN00278424
卷号118期号:5
英文摘要Rabies kills ∼60,000 people per year. Annual vaccination of at least 70% of dogs has been shown to eliminate rabies in both human and canine populations. However, delivery of large-scale mass dog vaccination campaigns remains a challenge in many rabies-endemic countries. In sub-Saharan Africa, where the vast majority of dogs are owned, mass vaccination campaigns have typically depended on a combination of static point (SP) and door-to-door (D2D) approaches since SP-only campaigns often fail to achieve 70% vaccination coverage. However, D2D approaches are expensive, labor-intensive, and logistically challenging, raising the need to develop approaches that increase attendance at SPs. Here, we report a real-time, data-driven approach to improve efficiency of an urban dog vaccination campaign. Historically, we vaccinated ∼35,000 dogs in Blantyre city, Malawi, every year over a 20-d period each year using combined fixed SP (FSP) and D2D approaches. To enhance cost effectiveness, we used our historical vaccination dataset to define the barriers to FSP attendance. Guided by these insights, we redesigned our vaccination campaign by increasing the number of FSPs and eliminating the expensive and labor-intensive D2D component. Combined with roaming SPs, whose locations were defined through the real-time analysis of vaccination coverage data, this approach resulted in the vaccination of near-identical numbers of dogs in only 11 d. This approach has the potential to act as a template for successful and sustainable future urban SP-only dog vaccination campaigns. © 2021 National Academy of Sciences. All rights reserved.
英文关键词Data-driven; Malawi; Rabies; Vaccination; Zoonosis
语种英语
来源期刊Proceedings of the National Academy of Sciences of the United States of America
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/180790
作者单位The Epidemiology, Economics and Risk Assessment Group, Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Veterinary Centre, Roslin, EH25 9RG, United Kingdom; Mission Rabies, Blantyre, Malawi; Worldwide Veterinary Service, Blantyre, Malawi; Department of Animal Health and Livestock Development, Lilongwe, Malawi; Mission Rabies, Cranborne, BH21 5PZ, United Kingdom; Division of Veterinary Clinical Studies, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Hospital for Small Animals, Easter Bush Veterinary Centre, Roslin, EH25 9RG, United Kingdom
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Mazeri S.,Burdon Bailey J.L.,Mayer D.,et al. Using data-driven approaches to improve delivery of animal health care interventions for public health[J],2021,118(5).
APA Mazeri S..,Burdon Bailey J.L..,Mayer D..,Chikungwa P..,Chulu J..,...&Mellanby R.J..(2021).Using data-driven approaches to improve delivery of animal health care interventions for public health.Proceedings of the National Academy of Sciences of the United States of America,118(5).
MLA Mazeri S.,et al."Using data-driven approaches to improve delivery of animal health care interventions for public health".Proceedings of the National Academy of Sciences of the United States of America 118.5(2021).
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