Miscellaneous Knowledge Notes

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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.
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    Socioeconomic Impacts of COVID-19 on Households in Somalia: Results from Round 1 of the Somali High-Frequency Phone Survey
    (World Bank, Washington, DC, 2021-10-01) Karamba, Wendy ; Salcher, Isabelle
    The coronavirus disease 2019 (COVID-19) pandemic and its effects on households create an urgent need for timely data and evidence to help monitor and mitigate the social and economic impacts of the crisis on the Somali people, especially the poor and most vulnerable. To monitor the socioeconomic impacts of the COVID-19 pandemic and inform policy responses and interventions, the World Bank designed and conducted a nationally representative Somali High-Frequency Phone Survey (SHFPS) of households. The survey covers important and relevant topics, including knowledge of COVID-19 and adoption of preventative behavior, economic activity and income sources, access to basic goods and services, exposure to shocks and coping mechanisms, and access to social assistance. This brief summarizes the findings of the first round of the SHFPS, implemented between June and July 2020. The information presented here is based on a sample of 2,811 households across all regions of Somalia, drawn using a random digit dialing protocol. Sampling weights are computed to ensure representativeness at the national and state level, and by population type. The same households will be tracked over 12 months, with selected respondents—typically the household head—completing interviews every 8-12 weeks. Monitoring the well-being of households over time will improve understanding of the effects of, and household responses to the COVID-19 pandemic in near-real time.
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    Socioeconomic Impacts of COVID-19 in Kenya
    (World Bank, Washington, DC, 2021-06) Pape, Utz Johann ; Delius, Antonia ; Khandelwal, Ritika ; Gupta, Rhea
    The Coronavirus disease 2019 (COVID-19) pandemic has had a strong impact on the livelihoods of Kenyan households, even though employment and income levels are recovering. The second lockdown resulted in another surge in food insecurity. While access to education worsened again due to renewed school closures, health services remained widely accessible to the population. Kenyans are well informed about the preventive measures to avoid COVID-19 infections, and compliance with hygiene measures against the virus increased again during the second lockdown. The majority of Kenyans will be willing to take a COVID-19 vaccine, but many are concerned about potential side effects. One-half of the Kenyan population is anxious due to the fear of contracting COVID-19 and potential employment losses. This brief summarizes the key results of the Kenya COVID-19 rapid response phone survey (RRPS) tracking the socioeconomic impacts of the crisis from May 2020 to June 2021.
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    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.
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    Monitoring COVID-19 Impacts on Households in Ethiopia, Report No. 5: Gendered Impacts of the COVID-19 Pandemic in Ethiopia - Results from a High-Frequency Phone Survey of Households
    (World Bank, Washington, DC, 2020-10-12) Ebrahim, Menaal ; Ambel, Alemayehu A. ; Buehren, Niklas ; Bundervoet, Tom ; Hailemicheal, Adiam Hagos ; Abebe Tefera, Girum ; Wieser, Christina
    The analysis is based on a sample of 3,058 households in both urban and rural areas in all regions of Ethiopia. The 15-minute interview covers a diverse set of topics such as access to basic services, child educational activities during school closures, employment dynamics, household income and livelihood, income loss and coping strategies, food security and assistance received. In this brief, we focus on topics where gendered differences were striking.
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    Monitoring COVID-19 Impacts on Households in Ethiopia, Report No. 4: Results from a High-Frequency Phone Survey of Households, Round 4
    (World Bank, Washington, DC, 2020-09-25) Wieser, Christina ; Ambel, Alemayehu A. ; Bundervoet, Tom ; Haile, Asmelash
    The Ethiopian high-frequency phone survey of households (HFPS-HH) allows for a better understanding of the effects of COVID-19 on households and provides data in almost real time to support new responses to the pandemic as they become necessary. The HFPS-HH builds on the national longitudinal Ethiopia Socioeconomic Survey (ESS) that the Central Statistical Agency (CSA) carried out in 2019 in collaboration with the World Bank. The HFPS-HH subsample of the ESS sample is representative of households with a working phone. The same households are tracked for six months, with selected respondents, typically household heads, completing phone-based interviews every three to four weeks. The datasets (vol.2 - 3) summarize the results of the fourth round of the HFPS-HH—including 2,878 households in both urban and rural areas in all regions of Ethiopia—implemented between July 27 and August 14, 2020.
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    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.
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    Measuring Internet Access in Sub-Saharan Africa
    (World Bank, Washington, DC, 2020-08) Frankfurter, Zoe ; Kokoszka, Klaudia ; Newhouse, David ; Silwal, Ani Rudra ; Tian, Siwei
    The ability to access the internet has increasingly become an important tool for poverty reduction, especially during the Covid-19 pandemic. Despite its importance, measuring internet use in low-income settings is plagued by differences between data sources and lack of a consistent definition of what it means exactly to have internet access. This Note compares different data sources available for monitoring internet use in Sub-Saharan Africa (SSA) and examines a database of household surveys from 25 countries in the region. Three main findings emerge: (a) Household internet access may be less prevalent than commonly believed, (b) Access rates are particularly low for rural and poorer households, and (c) Many people in SSA access the internet through mobile phones rather than a home computer. Although many questions remain unanswered, household surveys are an important and underutilized resource to inform efforts to expand internet access in SSA.
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    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.
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    How is the COVID-19 Crisis Affecting Nitrogen Dioxide Emissions in Sub-Saharan Africa?
    (World Bank, Washington, DC, 2020-05) Masaki, Takaaki ; Nakamura, Shohei ; Newhouse, David
    Daily estimates of Nitrogen Dioxide (NO2)—one of a group of pollutant gases that derive from human activity, primarily combustion—can provide a useful, albeit "noisy", real-time proxy measure of how COVID-19 has affected economic activity. To examine how the crisis affects NO2 levels in Sub-Saharan Africa (SSA), we calculated mean daily NO2 tropospheric estimates for 43 regions that contain either national capitals or large urban areas for the period July 2018 to April 2020. We found that emissions reductions in April were sizeable, larger in more developed areas, and large in many but not all of the countries that implemented national lockdowns. Overall, the data suggest that NO2 readings contain useful information to help track the reduction in motorized transport, and possibly overall economic activity, in urban, developed areas.