The role of case proximity in transmission of visceral leishmaniasis in a highly endemic village in Bangladesh
Data collection containing: [1] Odds ratios for VL and asymptomatic infection risk based on proximity to infected individuals (S1 Table); [2] Definitions of model likelihood and deviance information criterion, and details of MCMC algorithm (S1 Text); [3] Data on visceral leishmaniasis status and leishmanin skin test status of 2494 individuals in the study area, including dates of onset, diagnosis, treatment, and, where applicable, relapse and treatment for relapse for 183 VL cases (S1 Data); [4] Matrix of pairwise distances between all individuals in the study (S2 Data); [5] Metadata for S1 and S2 Data (S3 Data); [6] Locations of VL cases in para 2 by year of onset, 1999-2004 (S1 Fig); [7] Locations of VL cases in para 3 by year of onset, 1999-2004 (S2 Fig); [8] Deviance distributions for the different models (S3 Fig)
Keywords
Leishmaniasis, Sand flies, Parasitic diseases, Bangladesh, India, Kernel functions, Immunity, NepalItem Type | Dataset |
---|---|
Capture method | Aggregation |
Date | 10 August 2018 |
Geographical area covered (offline during plugin upgrade) |
North Latitude East Longitude South Latitude West Longitude 24.782 90.4504 24.7247 90.3577 |
Language(s) of written materials | English |
Creator(s) |
Chapman, LAC |
LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Global Health and Development |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Funders |
Project Funder Grant Number Funder URI |
Date Deposited | 23 Oct 2018 09:41 |
Last Modified | 27 Apr 2022 18:20 |
Publisher | PLOS Neglected Tropical Diseases |
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- Data record - Figshare (Data)
- Publication - PLOS NTD (Online Data Resource)