26 May 2020
| Dataset date: April 02, 2020-April 09, 2020
This data and report examine perceptions and the impact of COVID-19 in 12 countries throughout sub-Saharan Africa. Topics covered include greatest concerns surrounding coronavirus, preventative measures being taken, changes in food market operability and food security, consumer behavior changes, and trust in governments to prevent the spread of coronavirus. This dataset includes data from 10 of the markets. Please contact us for access to data from all markets, the questionnaire, and with any other questions.
5 February 2021
| Dataset date: November 20, 2020-December 14, 2020
Democratic Republic of the Congo Coronavirus(COVID-19) Subnational Cases per province. The dataset has been made available on the Food security cluster website. It is made available via a collaboration between multiple agencies including: DR Congo Ministry of Health, World Health Organisation, UNICEF, JICA, CDC, PATH and IOM
2 February 2021
| Dataset date: January 01, 2020-December 31, 2020
This dataset includes the latest available information on COVID-19 developments impacting the security of aid and health work and operations to help aid agencies meet duty of care obligations to staff and reach people in need.
11 May 2020
| Dataset date: April 24, 2020-April 24, 2020
Public health and social measures (PHSMs) are measures or actions by individuals, institutions, communities, local and national governments and international bodies to slow or stop the spread of an infectious disease, such as COVID-19.
Since the start of the COVID-19 pandemic, a number of organizations have begun tracking implementation of PHSMs around the world, using different data collection methods, database designs and classification schemes. A unique collaboration between WHO, the London School of Hygiene and Tropical Medicine, ACAPS, University of Oxford, Global Public Health Intelligence Network, US Centers for Disease Control and Prevention and the Complexity Science Hub Vienna has brought these datasets together, using a common taxonomy and structure, into a single, open-content dataset for public use.
12 October 2020
| Dataset date: September 12, 2020-September 12, 2020
The INFORM COVID-19 Risk Index is a composite index that identifies: “countries at risk from health and humanitarian impacts of COVID-19 that could overwhelm current national response capacity, and therefore lead to a need for additional international assistance”.
The INFORM COVID-19 Risk Index is primarily concerned with structural risk factors, i.e. those that existed before the outbreak. It can be used to support prioritization of preparedness and early response actions for the primary impacts of the pandemic, and identify countries where secondary impacts are likely to have the most critical humanitarian consequences.
The main scope of the INFORM COVID-19 Risk Index is global and regional risk-informed resource allocation, i.e. where comparable understanding of countries’ risk is important. It cannot predict the impacts of the pandemic in individual countries. It does not consider the mechanisms behind secondary impacts - for example how a COVID-19 outbreak could increase conflict risk.
26 January 2021
| Dataset date: June 10, 2020-June 10, 2020
The dataset contains IDPs, Returnees and Refugees at sub national level with information on IDPs in camps and host communities.
IOM set up and rolled out the first round of the DTM in November 2015 with the objective of providing regular, accurate and updated information on displaced populations within the Far North region of Cameroon to better support the response of the Government of Cameroon and the humanitarian community.
29 March 2021
| Dataset date: May 06, 2020-May 23, 2021
This dataset contains the number of suspected cases, confirmed cases, and deaths by Département due to the Coronavirus pandemic in Haiti. Released by the Ministry of Public Health and Population of Haiti.
18 September 2021
| Dataset date: November 15, 2020-September 19, 2021
Contains data crowdsourced from Venezuelans through the Premise Data mobile application. The survey is presented only once to users and aims to capture current COVID-19 awareness around testing availability and symptoms, and identifies users who have moved to a different state in the last year.
More relevant information below:
The booklet included HERE goes into more details on how Premise's crowdsourcing works.
11 March 2021
| Dataset date: February 03, 2021-February 03, 2021
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.
8 September 2021
| Dataset date: March 09, 2020-September 06, 2021
Subnational data about Covid19 in Burkina Faso - Infected (new cases, gender), Deceased, Recovered.
NEW (!) : VACCINATION DATA PER REGION (1st & 2nd dose)
Type of vaccine : AstraZeneca ; Johnson&Johnson
8 September 2021
| Dataset date: January 01, 2017-July 31, 2021
These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, health care, refugees and IDPs to ensure staff safety and better response outcomes.
| Dataset date: January 01, 2020-September 19, 2021
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
30 September 2020
| Dataset date: April 23, 2020-April 23, 2020
Global Humanitarian Response Plan COVID-19 administrative level 1 boundaries, gazetteer and population tables for countries covered by the May update of the Global Humanitarian Response Plan COVID-19.
13 OCTOBER 2020 UPDATE:
The Ethiopia - Subnational Administrative Boundaries dataset has been updated with changes at administrative level 1 and below. However, as the Ethiopia - Subnational Population Statistics dataset has not been updated and no longer matches, this global dataset has not yet been updated.
30 SEPTEMBER 2020 UPDATE:
The dataset has been updated to reflect official Brazil P-codes. Users should note that the Brazil P-codes in earlier versions no longer correspond to the current CODs.
17 SEPTEMBER 2020 UPDATE:
The dataset has been updated to reflect the new (2020) Paraguay COD-PS projections and the adjusted Paraguay P-codes. Users should note that the Paraguay P-codes in earlier versions no longer correspond to the current CODs.
26 AUGUST 2020 UPDATE:
administrative level 1 total population statistics have been added for the following 11 countries:
Benin , Djibouti, Liberia, Pakistan, Panama, Philippines, Paraguay, Sierra Leone, Togo, Uruguay, Zimbabwe.
Population statistics are now available for 48 of the 63 countries or territories.
ADM1_PCODE: Administrative level 1 (various types) P-code
ADM0_PCODE: Administrative level 0 (country or territory) P-code
alpha_3: ISO 3166-1 Alpha 3 country or territory identifier
ADM0_REF: Administrative level 0 (country or territory) reference name (Latin script without special characters)
ADM1_REF: Administrative level 1 (various types) reference name (Latin script without special characters)
Population: Most recent available total population.
PLEASE SEE CAVEATS
19 May 2020
| Dataset date: April 30, 2020-April 30, 2020
Country's economic exposure due to COVID-19. Composite indicator based on World Bank's datasets on remittances, food import dependence, primary commodity export dependence, tourism dependence, government indebtedness and foreign currency reserves.
4 March 2021
| Dataset date: July 29, 2020-September 27, 2020
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.
1 September 2021
| Dataset date: June 02, 2021-August 18, 2021
Subnational Covid19 vaccination data in Burkina Faso per region from the beginning of the vaccination campaign.
Vaccine type : AstraZeneca ; Johnson & Johnson
Details : first & second dose
Data : new vaccinated, cumulative vaccinated, new health workers vaccinated, cumulative health workers vaccinated