This article published in Nature cites POPGRID for a comparative overview of inputs and methodology of different gridded population datasets.
Citation: Falchetta, G., Pachauri, S., Parkinson, S. et al. A high-resolution gridded dataset to assess electrification in sub-Saharan Africa. Sci Data 6, 110 (2019). https://doi.org/10.1038/s41597-019-0122-6
Nature Abstract:
As communities around the world grapple with the devastating effects of COVID-19, the importance of timely, disaggregated, and accurate data has never been clearer. It is vital that we understand where populations are located, the available infrastructure, and their access to critical services to ensure that everyone can understand their risk and take appropriate action. From new platforms, analysis, and available datasets, read more on how participants in the POPGRID Data Collaborative are helping to fight this pandemic.
Now more than ever, it is essential that we understand where people are located, what conditions they are facing, what infrastructure is available, and what basic services they can access. Fortunately, gridded population data have emerged as an important resource for delivering actionable data in challenging circumstances, including in disaster response and health and infectious disease monitoring.
This blog post is reposted from the World Bank's Sustainable Cities blog series. POPGRID Data Collaborative members from the German Aerospace Centre (DLR) Thomas Esch and Mattia Marconcini worked with Bank staff to develop a methodology related to Cities, crowding, and the coronavirus: Pre
A new mapping tool shows the density of population in relationship to reported coronavirus disease (COVID-19) cases at national and sub-national levels, and permits users to obtain custom estimates of the number of people by age and sex living in an area of interest, including areas not currently reporting large numbers of cases.
In this exclusive roundtable on "Governing the Data Revolution," a selection of TReNDS Expert Members debate many of the themes featured in the recent flagship report, Counting on the World to Act. These include traditional data methods vs. new data methods, policy and regulatory needs for data governance, the importance of placing the Chief Statistician at the center of the data ecosystem, and opportunities and challenges for governing the data revolution for sustainable development.
