Estimating the global burden of endemic canine rabies
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Date
Authors
Hampson, Katie
Coudeville, Laurent
Lembo, Tiziana
Sambo, Maganga
Kieffer, Alexia
Attlan, Michael
Barrat, J.
Blanton, Jesse D.
Briggs, Deborah J.
Cleaveland, Sarah
Journal Title
Journal ISSN
Volume Title
Publisher
Public Library of Science
Abstract
Rabies is a fatal viral disease largely transmitted to humans from bites by infected animals
—predominantly from domestic dogs. The disease is entirely preventable through prompt
administration of post-exposure prophylaxis (PEP) to bite victims and can be controlled
through mass vaccination of domestic dogs. Yet, rabies is still very prevalent in developing
countries, affecting populations with limited access to health care. The disease is also
grossly underreported in these areas because most victims die at home. This leads to insufficient
prioritization of rabies prevention in public health agendas. To address this lack of
information on the impacts of rabies, in this study, we compiled available data to provide a
robust estimate of the health and economic implications of dog rabies globally. The most
important impacts included: loss of human lives (approximately 59,000 annually) and productivity
due to premature death from rabies, and costs of obtaining PEP once an exposure
has occurred. The greatest risk of developing rabies fell upon the poorest regions of the
world, where domestic dog vaccination is not widely implemented and access to PEP is
most limited. A greater focus on mass dog vaccination could eliminate the disease at
source, reducing the need for costly PEP and preventing the large and unnecessary burden
of mortality on at-risk communities.
Description
S1 Text. Supporting bibliography.
S1 Table. Estimates by country of rabies deaths, exposures, PEP use, prevented deaths, dog vaccination coverage, probability that a dog is rabid (RP), of bite victims receiving PEP (PP), DALYs, costs and 95% confidence intervals of estimates. Clusters to which countries are assigned are shown and inputs used for estimating parameters including the human development index and whetehr a country s rabies-free or endemic (RISK). Estimates of years of life lost (YLL) and DALYs (due to rabies and to adverse events from the use of nerve tissue vaccines) are shown under different assumptions (estimates under the assumption of no time discounting or age-weighting should be directly comparable to the 2010 Global Burden of Disease study).
S1 Fig. Division of costs associated with rabies, prevention and control across sectors by cluster. Inset shows proportional expenditure in different clusters. Full details of countries by cluster are given in S1 Table. Asia 4 comprises: Philippines, Sri Lanka, Thailand (High PEP use); Asia 3 comprises Bhutan, Nepal, Bangladesh, Pakistan (Himalayan region); Asia 2 comprises Cambodia, Myanmar, Laos, Vietnam and Democratic People’s Republic of Korea; SADC comprises countries in the Southern African Development Community, Eurasia comprises Afghanistan, Kazakhstan, Kyrgyzstan, Mongolia, the Russian Federation, Turkmenistan, Tajikistan, and Uzbekistan.
S1 Dataset. Model code and input data files including references, rationale and detail of Delphi process. The code folder contains seven R scripts: burden_model.R runs the model using data compiled in burden_1.R, after estimating parameters using: FitCovInc.R, FitPP.R, and creating Fig 2 (RabiesBurdenFig2.R). The script burden_results.R summarizes findings using the output of burden_model.R and burden_sensitivity.R runs the sensitivity analyses. The data folder contains 12 csv files called by the R code for the analyses, and one excel file (Vet. xlsx) with additional details about the data sources in vcountry2.csv and vcluster2.csv and with Delphi process estimates for dog vaccination coverage. Data sources are detailed in the relevant data sources and the details of the sources of data used in the analysis are in the supporting bibliography, S1 text.
S1 Table. Estimates by country of rabies deaths, exposures, PEP use, prevented deaths, dog vaccination coverage, probability that a dog is rabid (RP), of bite victims receiving PEP (PP), DALYs, costs and 95% confidence intervals of estimates. Clusters to which countries are assigned are shown and inputs used for estimating parameters including the human development index and whetehr a country s rabies-free or endemic (RISK). Estimates of years of life lost (YLL) and DALYs (due to rabies and to adverse events from the use of nerve tissue vaccines) are shown under different assumptions (estimates under the assumption of no time discounting or age-weighting should be directly comparable to the 2010 Global Burden of Disease study).
S1 Fig. Division of costs associated with rabies, prevention and control across sectors by cluster. Inset shows proportional expenditure in different clusters. Full details of countries by cluster are given in S1 Table. Asia 4 comprises: Philippines, Sri Lanka, Thailand (High PEP use); Asia 3 comprises Bhutan, Nepal, Bangladesh, Pakistan (Himalayan region); Asia 2 comprises Cambodia, Myanmar, Laos, Vietnam and Democratic People’s Republic of Korea; SADC comprises countries in the Southern African Development Community, Eurasia comprises Afghanistan, Kazakhstan, Kyrgyzstan, Mongolia, the Russian Federation, Turkmenistan, Tajikistan, and Uzbekistan.
S1 Dataset. Model code and input data files including references, rationale and detail of Delphi process. The code folder contains seven R scripts: burden_model.R runs the model using data compiled in burden_1.R, after estimating parameters using: FitCovInc.R, FitPP.R, and creating Fig 2 (RabiesBurdenFig2.R). The script burden_results.R summarizes findings using the output of burden_model.R and burden_sensitivity.R runs the sensitivity analyses. The data folder contains 12 csv files called by the R code for the analyses, and one excel file (Vet. xlsx) with additional details about the data sources in vcountry2.csv and vcluster2.csv and with Delphi process estimates for dog vaccination coverage. Data sources are detailed in the relevant data sources and the details of the sources of data used in the analysis are in the supporting bibliography, S1 text.
Keywords
Rabies, Domestic dogs, Post-exposure prophylaxis (PEP), Health implications, Economic implications, Dogs -- Diseases
Sustainable Development Goals
Citation
Hampson K, Coudeville L, Lembo T, Sambo M, Kieffer A, Attlan M, et al. (2015) Estimating the Global Burden of Endemic Canine Rabies. PLoS Negl Trop Dis 9(4): e0003709. DOI: 10.1371/journal.pntd.0003709.