Annotated Bibliography - worldbank/HNP GitHub Wiki
Center for International Earth Science Information Network - CIESIN - Columbia University. 2018.
Center for International Earth Science Information Network - CIESIN - Columbia University. 2018.Gridded Population of the World, Version 4 (GPWv4): Basic Demographic Characteristics, Revision 11. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H46M34XX. Accessed 14 April 2020
- This grid based estimate of population distribution was use in setting the bounded estimates of local population. It is based on a combination of census and geospatial covariates.
Worldpop
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646
Shengjie, et al 2020 Assessing spread risk of Wuhan novel coronavirus within and beyond China, January-April 2020: a travel network-based modelling study Shengjie Lai, Isaac Bogoch, Nick Ruktanonchai, Alexander Watts, Xin Lu, Weizhong Yang, Hongjie Yu, Kamran Khan, Andrew J Tatem medRxiv 2020.02.04.20020479; doi: https://doi.org/10.1101/2020.02.04.20020479
Shengjie, et al 2019 Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine, Journal of Travel Medicine, Volume 26, Issue 3, 2019, taz019, https://doi.org/10.1093/jtm/taz019
BEARMod WorldPop Epidemiological Scripts
https://github.com/wpgp/BEARmod
USAID STATcompiler: ICF, 2012.
USAID STATcompiler: ICF, 2012. The DHS Program STATcompiler. Funded by USAID. http://www.statcompiler.com. Accessed 14 April 2020
Institute for Health Metrics and Evaluation
https://github.com/ihmeuw-msca/CurveFit
https://github.com/beoutbreakprepared/nCoV2019
Africa Center for Strategic Studies
https://africacenter.org/spotlight/mapping-risk-factors-spread-covid-19-africa/
Harvard Hospital Data for Africa
Ouma, P; Okiro, EA; Snow, RW, 2017, "Sub-Saharan Public Hospitals Geo-coded database", https://doi.org/10.7910/DVN/JTL9VY, Harvard Dataverse, V1, UNF:6:J6CCateatEPQfq41ZGzc5A== [fileUNF]
Cooper/Smith
Cooper/Smith 2020 "How to use your data to fight COVID-19: A roadmap for countries in Sub-Saharan Africa" https://medium.com/@CooperSmithOrg/how-to-use-your-data-to-fight-covid-19-a-roadmap-for-countries-in-sub-saharan-africa-8e8b3967ce15
Surgo Foundation
Surgo 2020 "Communities Most Vulnerable to COVID-19 are Slower to Adopt Social Distancing" https://medium.com/@surgofoundation/communities-most-vulnerable-to-covid-19-are-slower-to-adopt-social-distancing-e2c77ac35421
Data Partnership
https://github.com/datapartnership/covid19/blob/master/Mobility%20metrics-India.ipynb
Urban Definition
UN Statistical Commission 2020 "A recommendation on the method to delineate cities, urban and rural areas for international statistical comparisons" Prepared by the European Commission – Eurostat and DG for Regional and Urban Policy –ILO, FAO, OECD, UN-Habitat, and the World Bank https://unstats.un.org/unsd/statcom/51st-session/documents/BG-Item3j-Recommendation-E.pdf
ESRI
CHIME Model from UPenn as implimented by Mike Schoelen of ESRI https://geowb.maps.arcgis.com/home/item.html?id=37ad6eb0d1034cd58844314a9b305de2 https://www.arcgis.com/home/item.html?id=197fe328a799415cbfa19b00d4980789 https://www.arcgis.com/apps/CapacityAnalysis/index.html