Updated
21 July 2020
| Dataset date: February 23, 2020-March 13, 2020
This dataset updates: As needed
The dataset contains estimates of changes in human mobility during the COVID-19 outbreak.
These data underly the reports published at https://covid19mm.github.io/.
For more details about the data see https://covid19mm.github.io/data.html.
If you find the data helpful or you use the data for your research, please cite our work:
Pepe, E., Bajardi, P., Gauvin, L., Privitera, F., Lake, B., Cattuto, C., & Tizzoni, M. (2020).
COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown. Scientific Data 7, 230 (2020).
Updated
Live
| Dataset date: December 15, 2020-July 02, 2022
This dataset updates: Live
This dataset contains data obtained from a variety of sources and transformed into a form suitable for driving the Covid-19 Data Explorer. The visual itself is driven by a JSON file which contains the same data as the resources in this dataset which point to published csvs from a Google spreadsheet.
Updated
30 September 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
Updated
19 May 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.
Updated
15 September 2021
| Dataset date: November 14, 2020-May 17, 2021
This dataset updates: Every month
Overview
The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary.
Unit of Measure
Percentages.
Aggregation Method:
The data is aggregated by Urban/Rural/National and Industry Sector
Disclaimer:
This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out.
Version Notes:
COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review
Funding Name, Abbreviation, Role:
The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea.
Other Acknowledgments:
This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative.
Time Periods:
March, 2021
Updated
10 February 2022
| Dataset date: December 31, 2019-September 23, 2020
This dataset updates: Every two weeks
The Database of Government Actions on COVID-19 in Developing Countries collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries.
The database provides information for 20 Global South countries – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff.
The database contains a comprehensive set of 100 non-pharmaceutical interventions – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include:
• Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines
• Policy-related: government coordination and legal authorization, public communications and education, movement restrictions
• Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces
• Economic measures: economic and social measures, logistics / supply chains and security.
We hope the database will be a useful resource for several groups of users: (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database.
Comments on the data can be submitted to covid.database.comments@dalberg.com
Questions can be submitted to covid.database.questions@dalberg.comwww.dalberg.com
Updated
30 May 2022
| Dataset date: November 30, 2020-April 11, 2022
This dataset updates: Every month
Understanding gender is essential to understanding the risk factors of poor health, early death and health inequities. The COVID-19 outbreak is no different. At this point in the pandemic, we are unable to provide a clear answer to the question of the extent to which sex and gender are influencing the health outcomes of people diagnosed with COVID-19. However, experience and evidence thus far tell us that both sex and gender are important drivers of risk and response to infection and disease.
In order to understand the role gender is playing in the COVID-19 outbreak, countries urgently need to begin both collecting and publicly reporting sex-disaggregated data. At a minimum, this should include the number of cases and deaths in men and women.
In collaboration with CNN, Global Health 50/50 began compiling publicly available sex-disaggregated data reported by national governments to date and is exploring how gender may be driving the higher proportion of reported deaths in men among confirmed cases so far.
For more, please visit: http://globalhealth5050.org/covid19
Updated
20 January 2021
| Dataset date: May 17, 2020-July 02, 2022
This dataset updates: As needed
Figures about the evolution of Covid19 in African countries, new infected, recovered and deceased per day and cumulative cases of infected, recovered and deceased.
Updated
28 March 2022
| Dataset date: March 07, 2022-July 02, 2022
This dataset updates: Every six months
This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the figures relevant to Humanitarian Health response at global levels. The information is compiled from the last available data in public validated sources. See detailed info below. The data is mostly compiled from HRP and follows the structure of the Global Humanitarian Overview. For any ideas, updates, or corrections please contact Luis Hernando AGUILAR R (aguilarl@who.int) GHCU-IM team-lead. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement.
The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document
Updated
5 November 2021
| Dataset date: June 01, 2019-July 02, 2022
This dataset updates: Every month
Raw Global 3W national data visualized in the Global Humanitarian Operational Presence Who, What, Where (3W) Portal as of 05 November 2021
Fields:
'country code' -- example 'UKR' for Ukraine
'sector' -- example 'CCCM' = Camp Coordination / Management
'organization' -- Organization name provided in the field inputs
'type' -- INGO (International NGO), NNGO (National NGO), UN (United Nations), 'Undefined', or 'Other'
'COVID 19' -- 'yes' / 'no' (pertaining to the context): Field DISCONTINUED as of November 2021!!!!
'3W date' -- date of data applicability
'Display Name' -- Organization name - standardized as much as possible
Note these intended to be cleaned and standardized, though language variations (such as "Acción Contra el Hambre" / "Action Against Hunger" / "Action Contre La Faim"), and national offices of international organizations (such as "Caritas Internationalis - Nigeria" / "Caritas Internationalis - Switzerland") are preserved.
Note also that the names of some organizations working in Protection have been suppressed.
Users with questions are encouraged to use the 'Contact the contributor' button below.
Updated
26 April 2022
| Dataset date: July 10, 2019-April 27, 2021
This dataset updates: As needed
This dataset contains the results of a household survey to evaluate the impact of an unconditional cash transfer on child labour and other child and household outcomes amongst cocoa farmers in Ghana. Baseline (2019) and follow-up (2021) data was collected from a sample of 644 cocoa growing households in Ahafo and Eastern regions. All recipient households were members of certified cooperative.
The study was set up as a Randomized Control Trial - a randomly selected sub-set of these farmers received 6 months of unconditional cash payments between the baseline and follow-up survey.
Updated
Live
| Dataset date: February 10, 2020-July 02, 2022
This dataset updates: Live
During the pandemic, Paginemediche created a chatbot that allowed users to answer questions related to covid19 symptomatology. This information, linked to geolocation, allowed to build a large dataset able to predict, up to 5 days before, the possible emergence of a new outbreak.
Updated
29 May 2022
| Dataset date: May 01, 2020-May 01, 2020
This dataset updates: As needed
This dataset contains two APIs with daily COVID-19 Trends and Impact Survey data. The University of Maryland API is for accessing global survey data and CMU API is for accessing US survey data.
Updated
15 April 2021
| Dataset date: March 01, 2020-December 31, 2020
This dataset updates: Every three months
Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results.
These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
Updated
Live
| Dataset date: January 09, 2005-May 17, 2020
This dataset updates: Live
This dataset contains excess mortality data for the period covering the 2020 Covid-19 pandemic.
The data contains the excess mortality data for all known jurisdictions which publish all-cause mortality data meeting the following criteria:
daily, weekly or monthly level of granularity
includes equivalent historical data for at least one full year before 2020, and preferably at least five years (2015-2019)
includes data up to at least April 1, 2020
Most countries publish mortality data with a longer periodicity (typically quarterly or even annually), a longer publication lag time, or both. This sort of data is not suitable for ongoing analysis during an epidemic and is therefore not included here.
"Excess mortality" refers to the difference between deaths from all causes during the pandemic and the historic seasonal average. For many of the jurisdictions shown here, this figure is higher than the official Covid-19 fatalities that are published by national governments each day. While not all of these deaths are necessarily attributable to the disease, it does leave a number of unexplained deaths that suggests that the official figures of deaths attributed may significant undercounts of the pandemic's impact.
Updated
27 September 2021
| Dataset date: January 01, 2020-August 20, 2021
This dataset updates: Every two weeks
Daily Covid-19 cases in african countries : daily infections, recoveries and deaths and cumulative cases of infections, recoveries and deaths since the beginning of the pandemic.
Updated
28 June 2022
| Dataset date: January 01, 1960-December 31, 2019
This dataset updates: As needed
World Bank Indicators of Interest to the COVID-19 Outbreak.
This link is to a collection in the World Bank data catalog that contains datasets that may be useful for analysis, response or modelling.
Updated
22 July 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.
Updated
22 February 2021
| Dataset date: December 01, 2020-February 19, 2021
This dataset updates: As needed
The dataset contains 93 harmonized indicators on 14 topics (demographic, food security, education, labor, health..) on households and individuals in 44 countries across all developing regions.
Updated
14 June 2022
| Dataset date: May 06, 2020-October 08, 2021
This dataset updates: Every day
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.
