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COVID-19 Pandemic

See multiple data sources across 63 humanitarian operations in the COVID-19 Data Explorer
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  • World Bank Indicators of Interest to the COVID-19 Outbreak
    World Bank Group
    6000+ Downloads
    Updated January 16, 2021 | 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.
  • State of Palestine: Coronavirus(COVID-19) Subnational Cases
    HDX
    100+ Downloads
    Updated January 21, 2021 | Dataset date: December 14, 2020-January 19, 2021
    This dataset updates: Every day
    This dataset contains the number of confirmed cases, recoveries and deaths by Governorate due to the Coronavirus pandemic in Palestine.
  • Immunization Campaigns Impacted due to COVID-19
    World Health Organization
    300+ Downloads
    Updated Live | Dataset date: December 14, 2020-January 18, 2021
    This dataset updates: Live
    Immunization campaigns impacted due to COVID-19
  • Haiti: Coronavirus (COVID-19) Subnational Cases
    HDX
    100+ Downloads
    Updated January 19, 2021 | Dataset date: May 06, 2020-January 16, 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.
  • COVID-19 High-Frequency indicators
    World Bank Group
    100+ Downloads
    Updated January 8, 2021 | Dataset date: December 01, 2020-December 01, 2020
    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.
  • COVID-19 Sex-Disaggregated Data Tracker
    Global Health 50/50
    1000+ Downloads
    Updated January 12, 2021 | Dataset date: November 30, 2020-January 11, 2021
    This dataset updates: Every two weeks
    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
  • Myanmar: Coronavirus(COVID-19) Subnational Cases
    HDX
    100+ Downloads
    Updated Live | Dataset date: May 11, 2020-May 11, 2020
    This dataset updates: Live
    This dataset contains the number of tested cases, confirmed cases, recoveries and deaths by township due to the Coronavirus pandemic in Myanmar.
  • Iraq: Coronavirus (COVID-19) Subnational Cases
    HDX
    100+ Downloads
    Updated January 5, 2021 | Dataset date: May 11, 2020-January 13, 2021
    This dataset updates: As needed
    COvid 19 subnational data for iraq
  • Government Actions on COVID-19 in Developing Countries
    Dalberg
    1500+ Downloads
    Updated October 21, 2020 | 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.com www.dalberg.com
  • OCHA Global Humanitarian Operational Presence Who, What, Where (3W) Portal
    OCHA FISS
    1200+ Downloads
    Updated January 15, 2021 | Dataset date: June 01, 2019-January 21, 2021
    This dataset updates: Every week
    Raw Global 3W national data visualized in the Global Humanitarian Operational Presence Who, What, Where (3W) Portal as of 18 December 2020 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) '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.
  • Venezuela: Coronavirus(COVID-19) Subnational Cases
    OCHA Venezuela
    700+ Downloads
    Updated Live | Dataset date: March 13, 2020-January 03, 2021
    This dataset updates: Live
    This dataset contains the number of confirmed cases by state due to the Coronavirus pandemic in Venezuela.
  • Google Mobility Report
    iMMAP
    100+ Downloads
    Updated January 1, 2021 | Dataset date: May 21, 2020-May 21, 2020
    This dataset updates: Every month
    While communities around the world face COVID-19, health authorities have revealed the same type of aggregated and anonymized information that they use in products like Google Maps could help them make fundamental decisions to combat COVID-19. The purpose of these Local Mobility Reports is to provide valuable information on the changes that have occurred in the mobility of people as a consequence of the policies that have been established to combat COVID - 19. These reports detail the movement trends as Over time arranged by geographical areas and classified into various categories of places, such as shops and leisure spaces, supermarkets and pharmacies, parks, public transport stations, workplaces and residential areas. More information in: https://www.google.com/covid19/mobility/
  • Preventive Health Survey
    Facebook
    100+ Downloads
    Updated December 26, 2020 | Dataset date: August 01, 2020-August 01, 2020
    This dataset updates: As needed
    The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
  • COVID19 Impacts and Vaccine Acceptance in sub-Saharan Africa
    Mobile Accord, Inc. (GeoPoll)
    10+ Downloads
    Updated December 10, 2020 | Dataset date: November 24, 2020-November 24, 2020
    This dataset updates: As needed
    This study was conducted by SMS in late November in Côte D'Ivoire, DRC, Kenya, Mozambique, Nigeria, and South Africa. Topics covered include the ongoing impacts of COVID-19 on finances, physical and mental health, and spending on goods. Additionally, the study covers perceptions of vaccine safety and effectiveness and willingness to take a COVID-19 vaccine. Sample size of 500/country, nationally representative by age, gender, and location (ADM1). To request sub-national data please contact info@geopoll.com
  • Mozambique: Coronavirus (COVID-19) Subnational Cases
    HDX
    3200+ Downloads
    Updated December 31, 2020 | Dataset date: March 22, 2020-December 29, 2020
    This dataset updates: Every week
    This dataset contains the number of confirmed cases, deaths and recoveries by province due to the Coronavirus pandemic in Mozambique.
  • Economic Impact of COVID-19 in Sub-Saharan Africa
    Mobile Accord, Inc. (GeoPoll)
    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.
  • Perceptions and impact of Coronavirus in Sub-Saharan African countries
    Mobile Accord, Inc. (GeoPoll)
    400+ Downloads
    Updated May 26, 2020 | Dataset date: April 02, 2020-April 09, 2020
    This dataset updates: As needed
    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.
  • Africa: Coronavirus (COVID-19) Subnational Cases
    HERA - Humanitarian Emergency Response Africa
    200+ Downloads
    Updated January 20, 2021 | Dataset date: May 17, 2020-January 21, 2021
    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.
  • INFORM COVID-19 Risk Index Version 0.1.4
    INFORM
    2300+ Downloads
    Updated October 12, 2020 | Dataset date: September 12, 2020-September 12, 2020
    This dataset updates: As needed
    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.
  • Democratic Republic of the Congo: Coronavirus(COVID-19) Subnational Cases
    HDX
    50+ Downloads
    Updated December 6, 2020 | Dataset date: November 20, 2020-December 14, 2020
    This dataset updates: As needed
    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
  • Compilation of International Financial Institution and Economic Data
    HDX
    100+ Downloads
    Updated January 5, 2021 | Dataset date: December 15, 2020-December 15, 2020
    This dataset updates: As needed
    Compilation of international financial institution and economic data
  • Global Secondary Impacts of COVID-19
    ACAPS
    200+ Downloads
    Updated December 2, 2020 | Dataset date: September 09, 2020-September 09, 2020
    This dataset updates: Never
    The objective of the dataset is to provide information that enables decision makers to better direct their efforts in addressing the wider effects of the COVID-19 pandemic. The dataset will track secondary impacts across a wide range of relevant themes: economy, health, migration, education to name a few. A set of around 80 impact indicators anticipated to be impacted by COVID-19 have been identified and organised across 4 pillars and 13 thematic blocks. Additionally, a set of around 25 pre-COVID-19 baseline indicators have been selected for each pillar. The data collection is conducted on a country-level and identifies the secondary impacts the COVID- 19 pandemic is having in more than 190 countries. Data comes from a range of available sources, including international organisations, research centres, and media analysis. Note: These are the preliminary results of the data collection on secondary impacts. This dataset is currently in the beta-testing phase, we will keep improving and updating in the coming weeks.
  • Travel Restriction Monitoring - IATA - Covid-19 - [IOM DTM]
    International Organization for Migration
    900+ Downloads
    Updated March 31, 2020 | Dataset date: March 26, 2020-March 26, 2020
    This dataset updates: As needed
    COVID-19 Travel Restriction Monitoring - Using secondary data sources, such as the International Air Transport Association (IATA), media reports and information direct from IOM missions, this platform maps and analyzes the various country, territories and areas imposing restrictions, and those with restrictions being imposed upon them, all categorized by restriction type. All analyses is presented at country level.
  • 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.
  • Ethiopia: Coronavirus(COVID-19) Subnational Cases
    OCHA Ethiopia
    200+ Downloads
    Updated July 16, 2020 | Dataset date: April 29, 2020-July 16, 2020
    This dataset updates: As needed
    This dataset contains the number of confirmed cases, recoveries and deaths by admin 1 due to the Coronavirus pandemic in Ethiopia.