esnightingale/vl-disaggregation

Nightingale, E. 2024. esnightingale/vl-disaggregation. [Online]. Github. Available from: https://github.com/esnightingale/vl-disaggregation

Nightingale, E. esnightingale/vl-disaggregation [Internet]. Github; 2024. Available from: https://github.com/esnightingale/vl-disaggregation

Nightingale, E (2024). esnightingale/vl-disaggregation. [Data Collection]. Github. https://github.com/esnightingale/vl-disaggregation

Description

Code to reproduce the results outlined in "Inferring the distribution of Visceral Leishmaniasis incidence from data at different spatial scales", which investigated the use of a disaggregation approach to predict village-level incidence of visceral leishmaniasis from sub-district level surveillance across a region targeted for elimination. Tables of results underlying the model comparison (aggregated error metrics) and associated figures (observed versus predicted distribution of counts across all villages) are shared in this repository. The VL incidence data (block- and village-level) are the property of the NCVBDC and requests to access these data should be made directly to the Center.

Methods

Data capture method	Other
Date (Date published in a 3rd party system)	14 October 2024
Language(s) of written materials	English

People & Groups

Data Creators	Nightingale, E
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-)
Research Centre	Centre for the Mathematical Modelling of Infectious Diseases
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom