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  • 1500+ Downloads
    Updated 25 May 2021 | Dataset date: March 12, 2020-May 19, 2021
    This dataset updates: Every week
    Subnational data about Covid19 in Ghana - Infections (new cases, gender), Deaths, Recoveries.
  • 500+ Downloads
    Updated 8 May 2021 | Dataset date: January 01, 2013-December 31, 2013
    This dataset updates: Never
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
  • 1100+ Downloads
    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.
  • 1000+ Downloads
    Updated 1 May 2021 | Dataset date: February 28, 2020-May 01, 2021
    This dataset updates: Every week
    Subnational data about Covid19 in Senegal- Infections (new cases), Deaths, Recoveries. Please note that the gender data is not available. Thank you for your understanding. For Senegal, the Not specified infected cases represent the confirmed contact cases, their location is not given by the government.
  • 100+ Downloads
    Updated 29 March 2021 | Dataset date: May 06, 2020-May 23, 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.
  • 200+ Downloads
    Updated 19 March 2021 | Dataset date: January 28, 2021-March 17, 2021
    This dataset updates: As needed
    National dataset of Ebola in Guinea (2021) - infections, recoveries, deaths, hospitalized, active cases, contact cases and gender data (if available). This dataset is a Pivot Table of the subnational data available on our HDX page. Recently, the government of Guinea (ANSS) has changed the way they were communicating about Ebola. Gender cases, vaccination data, hospitalized cases are not available anymore. The architecture of this dataset might change over time, to remove gender cases which won't be given by the government. Update frequency : when new data is available.
  • 100+ Downloads
    Updated 15 March 2021 | Dataset date: February 06, 2021-March 14, 2021
    This dataset updates: As needed
    National dataset of Ebola in Guinea (2021) - infections, recoveries, deaths, hospitalized, active cases, contact cases and gender data (if available). This dataset is a Pivot Table of the subnational data available on our HDX page. Gender data is not available anymore. The architecture of this dataset might change over time, to remove gender data. If you have any information about Ebola in DRC, please let us know at org.hera@gmail.com. Update frequency : when new data is available.
  • 2800+ Downloads
    Updated Live | Dataset date: December 31, 2019-February 08, 2021
    This dataset updates: Live
    Data collected by the European Centre for Disease Prevention and Control. The downloadable data file is updated daily and contains the latest available public data on COVID-19. Public-use data files allows users to manipulate the data in a format appropriate for their analyses. Users of ECDC public-use data files must comply with data use restrictions to ensure that the information will be used solely for statistical analysis or reporting purposes. For further information, visit https://www.ecdc.europa.eu/en/novel-coronavirus-china.
  • 500+ Downloads
    Updated 4 January 2021 | Dataset date: January 01, 2020-January 03, 2021
    This dataset updates: As needed
    Covid-19 cases (infections, recoveries, deaths and cumulative cases) at the national level in Ethiopia since the beginning of the outbreak
  • 100+ Downloads
    Updated 30 November 2020 | Dataset date: January 01, 2020-November 24, 2020
    This dataset updates: As needed
    Daily Covid-19 cases and cumulative cases (infections, recoveries, deaths) in South Sudan
  • 300+ Downloads
    Updated 30 October 2020 | Dataset date: March 16, 2020-October 28, 2020
    This dataset updates: Never
    Subnational data about Covid19 in Bénin - Infections (new cases, gender), Deaths, Recoveries when available. Unfortunately the country does not give the details per region anymore, we keep the database updated at the national level while waiting for the disaggregated data.
  • 100+ Downloads
    Updated 19 October 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.
  • 500+ Downloads
    Updated 14 October 2020 | Dataset date: March 16, 2020-October 11, 2020
    This dataset updates: Never
    Subnational data about Covid19 in Gambia - Infections (new cases, gender), Deaths, Recoveries.
  • 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.
  • 700+ Downloads
    Updated 28 August 2020 | Dataset date: March 31, 2020-August 24, 2020
    This dataset updates: As needed
    Subnational data about Covid19 in Sierra Leone - Infections (new cases, gender), Deaths, Recoveries.
  • 200+ Downloads
    Updated 25 August 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.
  • 367000+ Downloads
    Updated Live | Dataset date: January 22, 2020-July 29, 2021
    This dataset updates: Live
    Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • 300+ Downloads
    Updated 16 July 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.
  • 1000+ Downloads
    Updated 6 May 2020 | Dataset date: March 26, 2020-March 26, 2020
    This dataset updates: As needed
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
  • 1100+ 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).
  • 90+ Downloads
    Updated 28 April 2020 | Dataset date: May 19, 2020-April 27, 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.
  • 800+ Downloads
    Updated 10 November 2019 | Dataset date: January 01, 2016-October 29, 2016
    This dataset updates: Every year
    1) Natural disaster events include avalanches,earthquake, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • 300+ Downloads
    Updated 10 November 2019 | Dataset date: January 01, 2014-December 31, 2014
    This dataset updates: Every year
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
  • 400+ Downloads
    Updated 10 November 2019 | Dataset date: January 01, 2015-December 31, 2015
    This dataset updates: Never
    1) Natural disaster events include avalanches,earthquake, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • 300+ Downloads
    Updated 10 November 2019 | Dataset date: January 01, 2012-December 31, 2012
    This dataset updates: Never
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.