Updated
19 February 2021
| Dataset date: June 30, 2020-June 29, 2022
This dataset updates: Every year
Registry of Russian social-oriented non profit organizations recognized by the government as affected by COVID-19 and that receive government support. The Ministry of Economic Development of Russia published the register of non profit non government organizations (NGOs) that will be provided with additional measures of support.
Dataset columns: name of organization, OGRN, INN, Responsible government agency, Status, Orgform.
The dataset contains information about 11 208 NGOs of 85 Russian regions.
Updated
11 March 2021
| Dataset date: February 03, 2021-February 03, 2021
This dataset updates: Never
This dataset contains a forecast on early availability of doses of the Pfizer-BioNTech vaccine and the AstraZeneca/Oxford vaccine to COVAX Facility participants. The forecast is as at 3 February 2021.
This dataset contains figures on indicative distribution of 240 million doses of the AstraZeneca/Oxford vaccine, licensed to Serum Institute of India (SII) and 96 million doses of the AstraZeneca/Oxford vaccine, under the advance purchase agreement between Gavi, the Vaccine Alliance and AstraZeneca for Q1 & Q2 2021. It also contains an overview of exceptional first round allocation of 1.2 million doses of the WHO Emergency Use Listing (EUL)-approved Pfizer-BioNTech vaccine for Q1 2021.
The data was manually extracted from the The COVAX Facility Interim Distribution Forecast which was announced by COVAX on 3 February 2021.
Updated
26 May 2021
| Dataset date: January 15, 2021-March 25, 2021
This dataset updates: Never
The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for Persons of Concern (POC) to UNHCR based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.
Updated
4 July 2021
| Dataset date: July 29, 2020-November 30, 2020
This dataset updates: As needed
The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts.
Access the - code repository , including all the source code scripts necessary to run the model.
View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository.
Download the - methodology paper providing details on model assumptions and the main equations.
Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries.
Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework.
The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
Updated
26 May 2021
| Dataset date: May 14, 2020-July 07, 2020
This dataset updates: Never
The World Bank and UNHCR 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 six waves of the COVID-19 RRPS, which is part of a panel survey that targets refugee household and started in May 2020. The same households were interviewed every two months for five survey rounds, in the first year of data collection and every four months thereafter, with interviews conducted using Computer Assisted Telephone Interviewing (CATI) techniques. Sampled households that were not reached in earlier waves were also contacted along with households that were interviewed before. The “wave” variable represents in which wave the households were interviewed in. The sample aims to be representative of the refugee and stateless population in Kenya. It comprises five strata: Kakuma refugee camp, Kalobeyei settlement, Dadaab refugee camp, urban refugees, and Shona stateless. All waves of this survey include information on household background, service access, employment, food security, income loss, transfers, health, and COVID-19 knowledge.
The data is uploaded in three files. The first is the hh file, which contains household level information. The 'hhid', uniquely identifies all household. The second is the adult level file, which contains data at the level of adult household members. Each adult in a household is uniquely identified by the 'adult_id'. The third file is child level file, which contain information for every child in the household. Each child in a household is uniquely identified by the 'child_id'.
The duration of data collection and sample size for each completed wave was:
Wave 1: May 14 to July 7, 2020; 1,328 refugee households
Wave 2: July 16 to September 18, 2020; 1,699 refugee households
Wave 3: September 28 to December 2, 2020; 1,487 refugee households
Wave 4: January 15 to March 25, 2021; 1,376 refugee households
Wave 5: March 29 to June 13, 2021; 1,562 refugee households
Wave 6: July 14 to November 3, 2021; 1,407 refugee households
The same questionnaire is also administered to nationals in Kenya, with the data available in the WB microdata library: https://microdata.worldbank.org/index.php/catalog/3774
Updated
Live
| Dataset date: January 01, 2020-June 29, 2022
This dataset updates: Live
Aid funding related to the global COVID-19 pandemic, as published via the International Aid Transparency Initiative. This data is a result of a collaboration between the Centre for Humanitarian Data and USAID, and is the basis for the IATI COVID-19 Funding Dashboard and related data story.
For more information about data licensing, see https://data.humdata.org/viz-iati-c19-dashboard/about#licensing
Updated
7 February 2021
| Dataset date: April 17, 2020-May 21, 2020
This dataset updates: Never
The Monitoring of the Effects of the Economic Deterioration on Refugee Households dataset is a Phone survey of Syrian and non-Syrian households to monitor the changes over time in key areas in the context of the deteriorating economic situation in Lebanon.The UNHCR call center was used to conduct the two waves of data collection: 20-28 February (Wave I) and 17 April-15 May (Wave II). Several call attempts were made at different times of the day to reach the largest possible number of households.
After the Wave I of the survey, which was collected before the first case of Covid 19 was reported in Lebanon, the Wave II was conducted to account for the impacts of the spread of the Covid 19 virus on refugees, the level of awarness among them and their accessibility to hygiene items and health care services. This dataset includes only the non-Syrian refugees cases.
Updated
6 May 2020
| Dataset date: May 05, 2020-May 05, 2020
This dataset updates: As needed
This dataset contains simulation based estimates for COVID-19 epidemic scenarios in OCHA HRP countries. Simulation is done by London School of Hygiene & Tropical Medicine(LSHTM).
Updated
7 February 2021
| Dataset date: June 08, 2020-June 19, 2020
This dataset updates: Never
The COVID- 19 pandemic is having an unprecedented impact on people's lives. The pandemic is no doubt evolving into an economic and labor market downturn affecting all communities. In Zambia, daily status updates by the Ministry of Health indicate that, the cumulative number of cases are nearing 2,000 (as of 10th July 2020). The pandemic has further compounded the already distressed macroeconomic outlook. Cognisant of the resultant effect on economic systems, including trade restrictions, limited mobility of people and goods, and restricted movement in and out of the refugee settlements, a multi- stakeholder rapid assessment was conducted (2,796 respondents) during the period 8th to 19th June to quantify /determine measurable impact on refugees and hosting community livelihoods. The rapid survey was conducted in Lusaka and in the three refugee settlements and hosting villages of Zambia based on stratified random sampling.
Updated
4 March 2021
| Dataset date: July 29, 2020-September 27, 2020
This dataset updates: As needed
The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts.
Access the - code repository , including all the source code scripts necessary to run the model.
View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository.
Download the - methodology paper providing details on model assumptions and the main equations.
Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries.
Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework.
The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
Updated
26 May 2021
| Dataset date: May 14, 2020-July 17, 2020
This dataset updates: Never
The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual. 1,332 households were reached. The survey consent rate was 51 percent. From these households, 3,529 individuals were selected and interviewed.
Updated
7 November 2021
| Dataset date: June 01, 2020-July 16, 2020
This dataset updates: Never
Further the emergence of COVID-19 and the perceived socioeconomic hardship imposed by the measures put in place to curtail the spread of the virus, the United High Commissioner for Refugees (UNHCR) in conjunction with several partners in Nigeria carried out a study to understand the socioeconomic impact of COVID-19 among Persons of Concern to UNHCR including refugees, internally displaced persons, returnees, asylum-seekers, stateless persons and community members hosting displaced populations. The study examines several dimensions including the impact of the pandemic on economic, social, cultural, civil, and political rights.
Updated
26 May 2021
| Dataset date: June 08, 2020-June 19, 2020
This dataset updates: Never
The COVID- 19 pandemic is having an unprecedented impact on people's lives. The pandemic is no doubt evolving into an economic and labor market downturn affecting all communities. In Zambia, daily status updates by the Ministry of Health indicate that, the cumulative number of cases are nearing 2,000 (as of 10th July 2020). The pandemic has further compounded the already distressed macroeconomic outlook. Cognisant of the resultant effect on economic systems, including trade restrictions, limited mobility of people and goods, and restricted movement in and out of the refugee settlements, a multi- stakeholder rapid assessment was conducted (2,796 respondents) during the period 8th to 19th June to quantify /determine measurable impact on refugees and hosting community livelihoods. The rapid survey was conducted in Lusaka and in the three refugee settlements and hosting villages of Zambia based on stratified random sampling.
