COVID-19 Pandemic

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  • 600+ 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
  • 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.
  • 400+ 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.
  • 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 6 March 2021 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: Never
    COVID-19 Situation and Response Dashboard for Annual 2020
  • 1000+ 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).
  • Updated 23 April 2021 | Dataset date: October 14, 2020-March 14, 2021
    This data is by request only
    This data set includes vaccine-related rumour content from Internew's Rooted in Trust Project. The data set contains instances of COVID-19 related rumours shared on social media and in person with Internews in Afghanistan, Lebanon, Philippines, Colombia, Sudan, Mali, and CAR in 2020 and 2021.
  • 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 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 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 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 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.
  • 50+ Downloads
    Updated 29 May 2020 | Dataset date: May 25, 2020-May 25, 2020
    This dataset updates: As needed
    COVID-19 cases high risk population arrivals by state_25 May 2020
  • 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.
  • 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.
  • 80+ Downloads
    Updated 27 July 2020 | Dataset date: April 24, 2020-April 24, 2020
    This dataset updates: As needed
    List of coronavirus (COVID-19) global appeals and plans.
  • 70+ Downloads
    Updated Live | Dataset date: August 20, 2020-August 20, 2020
    This dataset updates: Live
    CERF and CBPF pooled funds have allocated a combined total of US$222 million to COVID-19 pandemic responses.
  • 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 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 26 May 2021 | Dataset date: September 28, 2020-November 30, 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.
  • 20+ Downloads
    Updated 9 December 2020 | Dataset date: December 30, 2020-December 30, 2020
    This dataset updates: As needed
    This data is a zipped shapefile of the COVID-19 risk index based on the INFORM index framework.
  • 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.
  • 70+ Downloads
    Updated 7 May 2020 | Dataset date: April 01, 2020-May 06, 2020
    This dataset updates: Every month
    The current COVID 19 outbreak has affected global mobility in the form of various travel disruptions, restrictions and bans On 18 March 2020 the Government of Cameroon put in place a series of precautionary measures to contain the spread of the pandemic including the closure of the country’s land, air and sea borders, the suspension of visa issuance at the airports for all incoming travellers, the shutdown of all training and educational establishments and the banning of gatherings of more than fifty persons throughout its national territory In order to better understand how these restrictions are affecting mobility in the country.
  • 100+ Downloads
    Updated 1 July 2020 | Dataset date: June 17, 2020-June 20, 2020
    This dataset updates: Every six months
    The dataset contains number of displaced persons by gender and age dis-aggregated. Dataset contains data on Covid-19, WASH, Shelter and other needs.
  • 50+ Downloads
    Updated 19 February 2021 | Dataset date: June 30, 2020-June 24, 2021
    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.