COVID-19 Pandemic

See multiple data sources across 56 humanitarian operations in the COVID-19 Data Explorer

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  • 1100+ Downloads
    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).
  • 50+ Downloads
    Updated 22 February 2021 | Dataset date: March 01, 2020-February 04, 2021
    This dataset updates: Every day
    Region-level data collected from the official website of Russian Federal Agency Rospotrebnadzor (https://стопкоронавирус.рф/). Dataset exists attributes: data, infected, recovered, died. The dataset contains information of 85 Russian regions.
  • 700+ Downloads
    Updated 11 December 2020 | Dataset date: April 13, 2020-May 28, 2020
    This dataset updates: Every week
    West and Central Africa Coronavirus covid-19 situation
  • 10+ Downloads
    Updated 7 February 2021 | Dataset date: September 05, 2020-September 10, 2020
    This dataset updates: Never
    The Rohingya population settled in 34 camps in Cox's Bazar district numbers around 860,000 individuals.1 On March 23, 2020, Cox's Bazar saw the first case of COVID-19 in the host community. The first case of COVID19 in the Rohingya population was confirmed on 14 May 2020. 2 At the time of this survey (September 5th - 10th 2020), there were 138 confirmed cases of, and 8 confirmed deaths from COVID19 in the Rohingya camps.3 Community engagement around prevention of COVID19 has been a core activity of the health sector since March and is supported by many other sectors. Activities are carried out by volunteers through door-door messaging and the use of multimedia approaches, key messages were developed by the risk communication group including the need for physical distancing, mask wearing, recognising symptoms and testing and treatment. The assessment was designed to assess the effectiveness of the intense community engagement that has been done among the Rohingya population;whether people were absorbing and developing good knowledge from the communication and informationoutreach, and whether they were responding (through behaviour change) to the information they were receiving.
  • 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.
  • 60+ Downloads
    Updated 13 May 2020 | Dataset date: October 11, 2020-March 22, 2021
    This dataset updates: As needed
    This dataset contains operational presence of humanitarian partners in Sudan at Admin 1 level in response to Coronavirus pandemic.
  • 100+ Downloads
    Updated 6 March 2021 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: Never
    UNICEF Eastern and Southern Africa Risks and Hazards- situation and response
  • 40+ Downloads
    Updated 9 December 2020 | Dataset date: December 30, 2020-December 30, 2020
    This dataset updates: Never
    This data is a zipped shapefile of the COVID-19 risk index based on the INFORM index framework.
  • 100+ Downloads
    Updated 7 April 2021 | Dataset date: March 12, 2021-March 12, 2021
    This dataset updates: As needed
    Compilation of international financial institution and economic data
  • 100+ Downloads
    Updated 20 April 2021 | Dataset date: October 04, 2020-October 04, 2020
    This dataset updates: Every month
    Community perceptions and feedback
  • 100+ Downloads
    Updated 4 March 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.
  • 500+ Downloads
    Updated 11 September 2020 | Dataset date: July 27, 2020-August 09, 2020
    This dataset updates: Every two weeks
    DTM relies on its network of key informants and on secondary sources to provide a weekly assessment of mobility and COVID-19 preparedness at priority locations in South Sudan. On 24 March 2020, movement restrictions have been put in place by South Sudanese (SSD) Government and its neighbours. Some border points like Renk and Kaya are reported to be near completely blocked, whilst refugees have been allowed back into SSD through places like Nimule (neighbouring Uganda [UGA]), Pagak (Ethiopia [ETH]) and Jekow (ETH). Cargo has also been largely allowed to enter South Sudan with a maximum of three passengers in trucks.
  • Updated 26 May 2021 | Dataset date: May 14, 2020-July 07, 2020
    This dataset updates: Never
    This dataset contains information from five waves of the COVID-19 RRPS, which is a bi-monthly panel survey that targets Kenyan nationals and refugees and started in May 2020. The same households are interviewed every two months, 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. 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 set contains 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 for each wave was: Wave 1: May 14 to July 7, 2020 Wave 2: July 16 to September 18, 2020 Wave 3: September 18 to November 28, 2020 Wave 4: January 15 to March 25, 2021 Wave 5: March 29 to June 13, 2021 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 26 May 2021 | Dataset date: July 16, 2020-September 18, 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. For the second wave, 4390 individuals were included belonging to 1735 households.
  • Updated 4 December 2020 | Dataset date: April 26, 2020-May 15, 2020
    This data is by request only
    In April and May, as a service to responders and authorities, Ground Truth Solutions (GTS) – in partnership with the Iraq Information Centre (IIC) – conducted phone interviews in Arabic with 556 returnees, refugees, and IDPs across Anbar, Dahuk, Erbil, Ninewa, Salah al-Din, and Sulaymaniyah to gauge their perspectives on information needs and channels, behaviours, trust, and the economic impact of the virus.
  • Updated 7 February 2021 | Dataset date: July 16, 2020-September 18, 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. For the second wave, 4390 individuals were included belonging to 1735 households.
  • 20+ Downloads
    Updated 28 February 2021 | Dataset date: May 14, 2020-July 07, 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.
  • 30+ Downloads
    Updated 4 March 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 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.
  • 100+ Downloads
    Updated 1 January 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.
  • 100+ Downloads
    Updated 1 February 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.
  • 10+ Downloads
    Updated 16 August 2021 | Dataset date: January 01, 2018-December 31, 2020
    This dataset updates: Every year
    Information calls to the ECU 911 with symptomatology related to the coronavirus COVID-19 by month.
  • 10+ Downloads
    Updated 16 August 2021 | Dataset date: January 01, 2018-December 31, 2020
    This dataset updates: Every year
    Information calls to the ECU 911 with symptomatology related to the coronavirus COVID-19 by year.
  • Updated 4 December 2020 | Dataset date: June 07, 2020-June 14, 2020
    This data is by request only
    In June, Ground Truth Solutions in partnership with the Iraq Information Centre (IIC) conducted its second round of phone interviews with in Arabic with 545 returnees, refugees and IDPs across Anbar, Dahuk, Erbil, Ninewa, Salah al-Din, and Sulaymaniyah to understand their perspectives of the COVID-19 response.
  • 1000+ Downloads
    Updated 6 May 2020 | Dataset date: March 26, 2020-March 26, 2020
    This dataset updates: As needed
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.