francescochecchi/aden_covid

Checchi, Francesco

francescochecchi/aden_covid

Checchi, F

(2020). francescochecchi/aden_covid. [Dataset]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://github.com/francescochecchi/aden_covid

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Estimates of COVID-19 attributable mortality in Aden governorate, Yemen: a geospatial and statistical analysis. All datasets required to replicate the analysis are included in the file <aden_covid_data.xlsx>. The file includes a ‘dictionary’ tab, whose column ‘use’ determines which variables are read into R analysis (below). Only variables marked as ‘yes’ for this column are necessary to replicate the analysis.

Alternative Title

Estimates of COVID-19 attributable mortality in Aden governorate, Yemen: a geospatial and statistical analysis

Additional Information

Pre-print was made available in January 2021. This record will be updated when the paper has been peer-reviewed

Keywords

COVID-19; Coronavirus; SARS-CoV-2; Yemen; Aden; Mortality; Burden; Satellite; Geospatial; Remote sensing; Graveyard; Cemetery; Burial

Item Type	Dataset
Resource Type	Resource Type Resource Description Software R script
Capture method	Content Coding: Qualitative data converted into quantitative
Collection Period	From To April 2020 September 2020
Date	28 October 2020
Language(s) of written materials	English
Creator(s)	Checchi, F
LSHTM Faculty/Department	Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023)
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom; Satellite Applications Catapult, Electron Building, Didcot, United Kingdom; Hadhramout University, Hadhramout, Yemen; University of North Carolina, Chapel Hill, NC, United States of America
Funders	Project Funder Grant Number Funder URI UNSPECIFIED UK Aid UNSPECIFIED https://www.ukaiddirect.org/
Date Deposited	27 Jan 2021 14:58
Last Modified	08 Jul 2021 12:48
Publisher	London School of Hygiene & Tropical Medicine