Chapman, Lloyd A. C. and Le Rutte, Epke A. (2017) Data for Elimination of visceral leishmaniasis in the Indian subcontinent: a comparison of predictions from three transmission models: Data description. [Dataset]

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Abstract

We present three transmission models of visceral leishmaniasis (VL) in the Indian subcontinent (ISC) with structural differences regarding the disease stage that provides the main contribution to transmission, including models with a prominent role of asymptomatic infection, and fit them to recent case data from 8 endemic districts in Bihar, India. Following a geographical cross-validation of the models, we compare their predictions for achieving the WHO VL elimination targets with ongoing treatment and vector control strategies. All the transmission models suggest that the WHO elimination target (<1 new VL case per 10,000 capita per year at sub-district level) is likely to be met in Bihar, India, before or close to 2020 in sub-districts with a pre-control incidence of 10 VL cases per 10,000 people per year or less, when current intervention levels (60% coverage of indoor residual spraying (IRS) of insecticide and a delay of 40 days from onset of symptoms to treatment (OT)) are maintained, given the accuracy and generalizability of the existing data regarding incidence and IRS coverage. In settings with a pre-control endemicity level of 5/10,000, increasing the effective IRS coverage from 60 to 80% is predicted to lead to elimination of VL 1–3 years earlier (depending on the particular model), and decreasing OT from 40 to 20 days to bring elimination forward by approximately 1 year. However, in all instances the models suggest that L. donovani transmission will continue after 2020 and thus that surveillance and control measures need to remain in place until the longer-term aim of breaking transmission is achieved.

Item Type:	Dataset
Subjects:	R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions:	Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) > Biological Sciences ( -2010) Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Science > Mathematics
Type of Data:	Text summarising data used for model and predictions
Library of Congress Subject Headings (LCSH):	Kala-azar -- Prevention -- Bihar (India), Kala-azar -- Transmission -- Bihar (India)
Publisher:	University of Warwick, School of Life Sciences
Official Date:	21 April 2017
Dates:	Date Event 21 April 2017 Published 6 March 2017 Available
Status:	Not Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Copyright Holders:	University of Warwick
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID OPP1053230 Bill and Melinda Gates Foundation http://dx.doi.org/10.13039/100000865 NCODEV/Project 015374 Sixth Framework Programme http://dx.doi.org/10.13039/100011103 RFA-AI-06-006 National Institutes of Health http://dx.doi.org/10.13039/100000002
Related URLs:	Related item in WRAP
Contributors:	Contribution Name Contributor ID Depositor Chapman, Lloyd A. C. 68887

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