wb_covid-19

The present PDM was conducted under time and resource constraints related to COVID-19 emergency. Due to the restrictions on public gathering and partial restrictions on movements, the survey findings could not have been triangulated with the FGDs or market assessment, which will be an integral part of all subsequent PDMs. The PDM household survey data collection took place over three days on 25 - 27 March 2020. ProGres V4 data of Kalobeyei persons of concern was used as a sampling frame, with a sample drawn using stratified random sampling based on random numbers generation. The original...

To monitor the socioeconomic impacts of the coronavirus disease 2019 (COVID-19) pandemic and inform policy responses and interventions, the COVID-19 High-Frequency Phone Survey (HFPS) of households was designed as part of a World Bank global initiative. For Cambodia, a total of 5 survey rounds are planned, with households being called back every 1 to 2 months. This allows for the impact of the pandemic to be tracked as it unfolds and provides data to the government and development partners in near real-time, supporting an evidence-based response to the crisis. The World Bank team decided...

To monitor the socioeconomic impacts of the coronavirus disease 2019 (COVID-19) pandemic and inform policy responses and interventions, the COVID-19 High-Frequency Phone Survey (HFPS) of households was designed as part of a World Bank global initiative. For Cambodia, a total of 5 survey rounds are planned, with households being called back every 1 to 2 months. This allows for the impact of the pandemic to be tracked as it unfolds and provides data to the government and development partners in near real-time, supporting an evidence-based response to the crisis. In June 2020, Cambodia...

Gaps in sex-disaggregated data related to the COVID-19 pandemic are pervasive, causing knowledge of the gender impacts of the pandemic to be incomplete.
In March 2020, only 61 percent of reported COVID-19 cases were disaggregated by sex, and these data were provided by 26 countries. By November 2020, reporting had grown to 80 countries, but the proportion still stood at 60 percent. The reporting was irregular throughout 2020.

Main Sources:
Global Health 50/50, University College London, COVID-19 Sex-Disaggregated Data Tracker (database).
Global Change Data Lab,...

The dataset includes information on articles published from February to September 2020 that have titles with COVID-19 in them (including those that study or research about COVID-19). Specifically the data includes which data type that article used (big data, social media, call records, search), title of article, location and country information.

Box Figure Use of repurposed data to study COVID-19: Published articles, by type of private intent data used

Figure Note: Figure shows the number of articles published in scientific, medical, and technical...

Since the nationwide lockdown was imposed on March 22, 2020, in The Gambia during the COVID-19 pandemic, mobile phone records were used to track the weekly mobility. The map shows the change of the population flows from March to May, and the blue shades indicate the outflow of people, and the green shades indicate the inflow of people. Data were gathered using call detail records.

Main Source: Knippenberg, Erwin, and Moritz Meyer. 2020. “The Hidden Potential of Mobile Phone Data: Insights on COVID-19 in the Gambia.” Data Blog (blog). September 10, 2020.

To facilitate the use of data collected through the high-frequency phone surveys on COVID-19, the Living Standards Measurement Study (LSMS) team has created the harmonized datafiles using two household surveys: 1) the country’ latest face-to-face survey which has become the sample frame for the phone survey, and 2) the country’s high-frequency phone survey on COVID-19. The LSMS team has extracted and harmonized variables from these surveys, based on the harmonized definitions and ensuring the same variable names. These variables include demography as well as housing, household consumption...

The World Bank team collaborated with UNICEF Armenia and jointly implemented two-rounds of HFPSs to assess household vulnerabilities and children welfare after the outbreak of the COVID-19 pandemic (July – September 2020). These data will improve the understating of the socio-economic consequences of the pandemic and restrictive measures on households and children and support the development of better response and recovery strategies for addressing COVID-19. The surveys included a sample of 4,555 individuals/households for Survey I, and 1,648 households with children for Survey II....

To monitor the rapidly changing economic landscape due to COVID-19, the National Institute of Statistics of Djibouti (INSD), with the technical assistance from the World Bank, conducted a second wave of the COVID phone survey from September 20 to October 18, 2020. Like the first wave fielded in July, this wave drew from a sampling frame consisting of households from the Ministry of Social Affairs and Solidarity’s social registry that reported telephone numbers. The sample, consisting of 1,460 complete interviews, combined a panel of households interviewed during the first wave, to which a...

The COVID 19 outbreak lead to significant challenges. From efforts to contain the spread of the virus to policy aimed at dampening the economic pain of the virus, policy makers have been presented with numerous decisions. In support of informing these efforts in Georgia, CRRC Georgia conducted six surveys between late April and early June, with the support of the Embassy of the Kingdom of the Netherlands in Tbilisi. The results were presented on a weekly basis to stakeholders in the Government of Georgia, international organizations, diplomats, and NGOs working on the crisis.

An effective policy response to the economic impacts of the COVID-19 pandemic requires an enormous range of data to inform the design and response of programs. Public health measures require data on the spread of the disease, beliefs in the population, and capacity of the health system. Relief efforts depend on an understanding of hardships being faced by various segments of the population. Food policy requires measurement of agricultural production and hunger. In such a rapidly evolving pandemic, these data must be collected at a high frequency. Given the unexpected nature of the shock...

Having reliable, timely data on poverty and inequality is critical to assess the distributional impact of COVID-19 on households and to make near-real time evidence-based strategic decisions. Partnering with the Caucasus Research Resource Centers (CRRC), the South Caucasus team in the Poverty and Equity Global Practice at the World Bank conducted a COVID-19 Georgia High Frequency Survey: Wave 1 (COVID-19 GHFS) to monitor the impact of COVID-19 on households in Georgia, conducted in December 2020, and is the first of the two planned surveys to be completed by early 2021. This survey is...

Although the first case of COVID-19 in Uganda was confirmed on the 22nd of March, Government of Uganda had undertaken several actions starting on the 18th of March, including travel restrictions, a 14-day quarantine for all international arrivals, and cancellation of all international conferences and public gatherings, including, but not limited to, religious services, weddings and concerts. On the 30th of March, the President declared a nationwide curfew from 7 pm to 6:30 am; banned public transportation; and instituted strict regulations for the movement of government and private...

The main objective of this project is to collect household data for the ongoing assessment and monitoring of the socio-economic impacts of COVID-19 on households and family businesses in Vietnam. The estimated field work and sample size of households in each round is as follows: Round 1 June fieldwork- approximately 6300 households (at least 1300 minority households) Round 2 August fieldwork - approximately 4000 households (at least 1000 minority households) Round 3 September fieldwork- approximately 4000 households (at least 1000 minority households) Round 4 December- approximately 4000...

The National Income Dynamics Study - Coronavirus Rapid Mobile Survey 2020 investigates the socioeconomic impacts of the national lockdown associated with the State of Disaster declared in South Africa in March 2020, and the social and economic consequences in South Africa of the global Coronavirus pandemic. NIDS-CRAM forms part of a broader study called the Coronavirus Rapid Mobile Survey (CRAM) which aims to inform policy using rapid reliable research on income, employment and welfare in South Africa, in the context of the global Coronavirus pandemic. The study is run by researchers from...

The National Income Dynamics Study - Coronavirus Rapid Mobile Survey 2020 investigates the socioeconomic impacts of the national lockdown associated with the State of Disaster declared in South Africa in March 2020, and the social and economic consequences in South Africa of the global Coronavirus pandemic. NIDS-CRAM forms part of a broader study called the Coronavirus Rapid Mobile Survey (CRAM) which aims to inform policy using rapid reliable research on income, employment and welfare in South Africa, in the context of the global Coronavirus pandemic. The study is run by researchers from...

To understand the socio-economic impact of COVID-19 and associated government measures, the first round of the COVID-19 National Panel Phone Survey 2020 was collected by the National Institute of Statistics of Djibouti (INSD) between July 7-22, 2020. Various channels of impact are explored such as job loss, availability and price changes of basic food items, and ability to access healthcare and education.

In Chad, COVID-19 is expected to affect households in many ways. First, governments might reduce social transfers to households due to the decline in revenue arising from the potential COVID-19 economic recession. Second households deriving income from vulnerable sectors such as tourism and related activities will likely face risk of unemployment or loss of income. Third an increase in prices of imported goods can also negatively impact household welfare, as a direct consequence of the increase of these imported items or as indirect increase of prices of local good manufactured using...

The Country Opinion Survey in Vietnam assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Vietnam perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Vietnam on: 1) their views regarding the general environment in Vietnam; 2) their overall attitudes toward the WBG in Vietnam; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in...

The Country Opinion Survey in Chile assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Chile perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Chile on 1) their views regarding the general environment in Chile; 2) their overall attitudes toward the WBG in Chile; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in Chile; and 4...

The Country Opinion Survey in Albania assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Albania perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Albania on 1) their views regarding the general environment in Albania; 2) their overall attitudes toward the WBG in Albania; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in...

The World Bank in collaboration with the Kenya National Bureau of Statistics and the University of California Berkeley are conducting the Kenya COVID-19 Rapid Response Phone Survey to track the socioeconomic impacts of the COVID-19 pandemic and provide timely data to inform a targeted response. This dataset contains information from the first three waves of the COVID-19 RRPS Household Survey which is part of a five-wave bi-monthly panel survey that targets Kenyan nationals. The same households are interviewed every two months, between May 2020 and May 2021 and it is conducted using...

An effective policy response to the economic impacts of the COVID-19 pandemic requires an enormous range of data to inform the design and response of programs. Public health measures require data on the spread of the disease, beliefs in the population, and capacity of the health system. Relief efforts depend on an understanding of hardships being faced by various segments of the population. Food policy requires measurement of agricultural production and hunger. In such a rapidly evolving pandemic, these data must be collected at a high frequency. Given the unexpected nature of the shock...

The COVID-19 pandemic closed schools around the world, forcing school systems and students to quickly attempt remote learning. We conducted a rapid response phone survey of over 1,500 high school students aged 14 to 18 in Ecuador to learn how students spend their time during the period of quarantine, examine their access to remote learning, and measure their mental health status.

An effective policy response to the economic impacts of the COVID-19 pandemic requires an enormous range of data to inform the design and response of programs. Public health measures require data on the spread of the disease, beliefs in the population, and capacity of the health system. Relief efforts depend on an understanding of hardships being faced by various segments of the population. Food policy requires measurement of agricultural production and hunger. In such a rapidly evolving pandemic, these data must be collected at a high frequency. Given the unexpected nature of the shock...