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.
Keywords
| Data capture method | Other |
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| Date (Date published in a 3rd party system) | 14 October 2024 |
| Language(s) of written materials | English |
| Data Creators | Nightingale, E |
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| 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 |
| Date Deposited | 21 Nov 2024 13:42 |
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| Last Modified | 21 Nov 2024 13:42 |
| Publisher | Github |
