COVID-19 Pandemic - Humanitarian Data Exchange

Economic Impact of COVID-19 in Sub-Saharan Africa

100+ Downloads

Updated July 22, 2020 | Dataset date: June 11, 2020-July 06, 2020

This dataset updates: As needed

This data looks at the impact of COVID-19 on employment, income, ability to pay expenses, and more in Côte D'Ivoire, Kenya, Mozambique Nigeria, and South Africa. Data is nationally representative by age, gender, and location, and is broken down by job type and formal or informal workers. Please contact us for data broken down by province or more information on the methodology.

XLSX

Sudan: Coronavirus (COVID-19) Subnational Cases

OCHA Sudan

200+ Downloads

Updated January 20, 2021 | Dataset date: April 29, 2020-January 01, 2021

This dataset updates: As needed

This dataset contains the number of confirmed cases by state due to the Coronavirus pandemic in Sudan.

CSV

Global Humanitarian Response Plan COVID-19 Administrative Boundaries and Popu...

OCHA FISS

1100+ Downloads

Updated September 30, 2020 | Dataset date: April 23, 2020-April 23, 2020

This dataset updates: As needed

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. Data fields: 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

Mali: Coronavirus(COVID-19) Subnational Cases

OCHA Mali

200+ Downloads

Updated August 25, 2020 | Dataset date: March 25, 2020-August 24, 2020

This dataset updates: As needed

This dataset contains the number of confirmed cases, recoveries and deaths by admin level 2 due to the Coronavirus pandemic in Mali.

CSV

Philippines : COVID-19 Operational Presence Risk Communication and Community ...

OCHA Philippines

900+ Downloads

Updated December 17, 2020 | Dataset date: March 16, 2020-March 16, 2020

This dataset updates: As needed

This data is about the Risk Communication and Community Engagement on COVID-19 related humanitarian activities in the Philippines.

XLSX

World: Global Database of Public Health and Social Measures Applied during th...

HDX

300+ Downloads

Updated May 11, 2020 | Dataset date: April 24, 2020-April 24, 2020

This dataset updates: As needed

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.

CSV
PDF

Humanitarian Access Constraints due to COVID-19 Pandemic

OCHA HQ

200+ Downloads

Updated September 4, 2020 | Dataset date: August 31, 2020-August 31, 2020

This dataset updates: As needed

The new and emerging access constraints that people are currently experiencing because of the COVID-19 outbreak.

XLSX

Covid-19 Economic Exposure Index

OCHA HQ

700+ Downloads

Updated May 19, 2020 | Dataset date: April 30, 2020-April 30, 2020

This dataset updates: As needed

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.

XLSX

Coronavirus COVID-19 Global Appeals and Plans

OCHA HQ

80+ Downloads

Updated July 27, 2020 | Dataset date: April 24, 2020-April 24, 2020

This dataset updates: As needed

List of coronavirus (COVID-19) global appeals and plans.

CSV

COVID19_RISK_INDEX

Uganda Red Cross Society

10+ Downloads

Updated December 9, 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.

SHP

COVID19 Humanitarian Access Constraints, Impacts and Mitigation

OCHA HQ

100+ Downloads

Updated September 2, 2020 | Dataset date: August 31, 2020-August 31, 2020

This dataset updates: Every two weeks

This dataset contains scores for humanitarian access constraints into country, constraints within country, impacts the constraints have led to as well as the mitigation strategies in place to limit the impact. The scores have the following interpretations: 0 = NA, 1 = No or open, 2 = partially open/closed, 3 = Yes or closed

XLSX

Cameroon Displacement - [IDPs, Returnees, Refugees] - Baseline Assessment [IO...

International Organization for Migration

3100+ Downloads

Updated January 26, 2021 | Dataset date: June 10, 2020-June 10, 2020

This dataset updates: Every six months

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.

XLSX

Indonesia Multi Sectoral Response Plan to COVID-19

OCHA Indonesia

Updated November 4, 2020 | Dataset date: August 27, 2020-August 27, 2020

This dataset updates: Every three months

Agencies activities based on the pillars on the Indonesia Multi Sectoral Response Plan to COVID-19.

Google Sheet

Ethiopia: Coronavirus (Covid-19) Cases

HERA - Humanitarian Emergency Response Africa

100+ Downloads

Updated January 4, 2021 | Dataset date: January 01, 2020-January 03, 2021

This dataset updates: As needed

Covid-19 cases (infected, recoveries, deaths and cumulative cases) at the national level in Ethiopia since the beginning of the outbreak

Community Feedback by Indonesian Red Cross (PMI)

Indonesian Red Cross (PMI)

80+ Downloads

Updated September 3, 2020 | Dataset date: October 04, 2020-October 04, 2020

This dataset updates: Every month

Community perceptions and feedback

CSV

Somalia: Projected COVID-19 Sub-national Cases

Johns Hopkins Applied Physics Lab

100+ Downloads

Updated January 1, 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.

CSV

Tracking the Situation of Children During COVID-19

UNICEF Data and Analytics (HQ)

300+ Downloads

Updated October 27, 2020 | Dataset date: August 31, 2020-August 31, 2020

This dataset updates: As needed

Rapid data that track some of the indirect socioeconomic impacts of COVID-19. It is based on recent data collection efforts from UNICEF Country Offices and UNICEF National Committees that entails a survey of over 100 questions. For more, visit: https://data.unicef.org/resources/rapid-situation-tracking-covid-19-socioeconomic-impacts-data-viz/

CSV

Somalia: Coronavirus (COVID-19) Subnational Cases

OCHA Somalia

60+ Downloads

Updated April 28, 2020 | Dataset date: May 19, 2020-January 08, 2021

This dataset updates: As needed

This dataset contains the number of confirmed cases, recoveries and deaths by Location/Admin 1 due to the Coronavirus pandemic in Somalia.

XLSX

INFORM COVID -19 Analysis and Comparability tool V.01

INFORM

400+ Downloads

Updated May 1, 2020 | Dataset date: April 23, 2020-April 23, 2020

This dataset updates: As needed

INFORM is a multi-stakeholder forum for developing shared, quantitative analysis relevant to humanitarian crises and disasters. INFORM includes organisations from across the multilateral system, including the humanitarian and development sector, donors, and technical partners. The Joint Research Center of European Commission is the scientific and technical lead for INFORM. In response to the COVID-19 pandemic, INFORM has released a COVID Risk Index to support the specific decision-making needs of humanitarian and other organisations. The following is an analysis that addresses key questions for humanitarian organisations by combining information from 3 INFORM products: • The new INFORM COVID Risk Index, which 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 Risk Index is • The INFORM Risk Index (Mid-2020 version), which identifies “countries at risk from humanitarian emergencies that could overwhelm current national response capacity, and therefore lead to a need for international assistance”. The INFORM Risk Index takes into account natural and human hazards, as well as vulnerability and lack of coping capacity. • The INFORM Severity Index (March 2020 version) is a regularly updated model for measuring the severity of humanitarian crises globally, which brings together indicators of impact, conditions of affected people, and complexity.

XLSX
PDF

West and Central Africa Coronavirus covid-19 situation

OCHA ROWCA

500+ Downloads

Updated December 11, 2020 | Dataset date: April 13, 2020-May 28, 2020

This dataset updates: Every week

West and Central Africa Coronavirus covid-19 situation

XLSX

Libya: Coronavirus(COVID-19) Subnational Cases

HDX

100+ Downloads

Updated October 19, 2020 | Dataset date: September 24, 2020-September 24, 2020

This dataset updates: As needed

This dataset contains the number of confirmed cases, recoveries and deaths by locations due to the Coronavirus pandemic in Libya.

XLSX

Sudan: Coronavirus(COVID-19) Preparedness and Response 4W

OCHA Sudan

40+ Downloads

Updated May 13, 2020 | Dataset date: October 11, 2020-January 26, 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.

XLSX

ACAPS COVID-19 Humanitarian Exemptions Dataset

ACAPS

100+ Downloads

Updated May 26, 2020 | Dataset date: May 26, 2020-May 26, 2020

This dataset updates: As needed

The COVID-19 Humanitarian Exemptions to Government Measures Dataset puts together all the measures implemented by governments worldwide in response to the Coronavirus pandemic.