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DOI | 10.1073/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 |
ISSN | 00278424 |
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 |
推荐引用方式 GB/T 7714 | 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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