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Monitoring COVID-19 Impacts on Households in Sudan: Results from a Panel Household High-Frequency Phone Survey
(World Bank, Washington, DC, 2022-06) Osman, Eiman; Rahasimbelonirina, Ando; Etang, Alvin
This brief focuses on the household survey component of the High-Frequency Phone Survey of Households (HFS). The sampling methodology adopted for the implementation of the household survey is probabilistic, and the sampling frame is provided by a compilation of a list of phone numbers collected during the implementation of various projects/surveys during the last few years at the household level across the country. The sample is representative of the 18 states of Sudan. This brief summarizes the main results of the core questions in the completed six rounds of the Sudan HFS of the same households (i.e., a panel survey). Results of the firm survey will be reported in a separate report.
Barriers to Accessing Medical Care in Sub-Saharan Africa in Early Stages of COVID-19 Pandemic
(World Bank, Washington, DC, 2021-03) Swindle, Rachel; Newhouse, David
Eighty-two percent of respondents in a sample of Sub-Saharan African (SSA) countries were able to access medical care despite the COVID-19 pandemic. Of the remaining 18 percent, about one-third reported that the COVID-19 pandemic impaired their access, either due to lockdown restrictions, facility closures, or fear of contracting the virus. 'Lack of money' was by far the most frequently reported barrier to accessing care across countries, especially for food-insecure households, two-thirds of which cited 'lack of money' as the main healthcare access constraint. Continued monitoring can help shed light on who is most at risk of not being able to access healthcare during crises. This note makes use of newly harmonized data to summarize reasons why respondents in 11 SSA countries were unable to access medical care during early COVID-19 stages.
Mapping Deprivations in Mauritania
(World Bank, Washington, DC, 2020-09) Dahmani-Scuitti, Anais; Doyle, Jesse; Lefebvre, Matthieu; Meyer, Moritz; Rajashekar, Anirudh
Recent economic growth In Mauritania has helped reduce poverty, but spatial disparities in terms of both monetary welfare and access to services and opportunities remain. Designing policies and projects to improve living conditions requires localized and updated data not usually available from household surveys. Deprivation mapping—a new spatial deprivation analysis tool—uses administrative and geospatial settlement-level data (the lowest administrative unit in our case study Mauritania) to estimate settlement access deprivations across 4 dimensions: social services, basic infrastructure, opportunities, and exposure to weather/climate shocks. Database and visualizations (map) highlight and rank each settlement’s deprivation index, enhancing national data and showing spatial differences in the depth, complexity, and persistence of deprivations to inform policies and prioritize investments.
Conducting Rapid Response Phone Surveys to Fill Data Gaps
(World Bank, Washington, DC, 2020-07) Delius, Antonia; Himelein, Kristen; Pape, Utz Johann
To respond effectively to crises, policy makers need reliable, timely evidence on its negative effects and transmission channels. Despite limitations compared to face-to-face surveys, rapid response phone surveys (RRPS) are a cost-effective, flexible method to quickly fill data gaps. This note gives an overview of main considerations when setting up a RRPS. It also illustrates how surveyors have used this tool to inform design of interventions during Ebola and famine crises. The World Bank is currently using RRPSs to track the impact of Coronavirus 2019 (COVID-19) in more than 100 countries.