Search for a Dataset - Humanitarian Data Exchange

Congo, The Democratic Republic of the - Requirements and Funding Data

4300+ Downloads

Time Period of the Dataset [?]: January 01, 2000-November 08, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.

CSV

Curaçao - Requirements and Funding Data

OCHA Financial Tracking System (FTS)

1600+ Downloads

Time Period of the Dataset [?]: September 03, 2024-September 03, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.

CSV

Aruba - Requirements and Funding Data

OCHA Financial Tracking System (FTS)

1500+ Downloads

Time Period of the Dataset [?]: September 03, 2024-September 03, 2024 ... More

This dataset updates: Never

This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.

CSV

COVID-19 Sex-Disaggregated Data Tracker

Global Health 50/50 (inactive)

1500+ Downloads

Time Period of the Dataset [?]: November 30, 2020-June 13, 2022 ... More

This dataset updates: Never

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

CSV

Turkey - Requirements and Funding Data

OCHA Financial Tracking System (FTS)

1800+ Downloads

Time Period of the Dataset [?]: June 09, 2022-June 09, 2022 ... More

This dataset updates: Never

This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.

CSV

Government Actions on COVID-19 in Developing Countries

Dalberg (inactive)

2200+ Downloads

Time Period of the Dataset [?]: December 31, 2019-September 23, 2020 ... More

This dataset updates: Never

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

Kenya, Malawi, Long Covid-19 effects survey dataset

Wellcome (inactive)

1400+ Downloads

Time Period of the Dataset [?]: September 06, 2021-October 02, 2021 ... More

This dataset updates: Never

Carried out in Kenya and Malawi, this work sought to better understand how Long COVID affects those living with the condition, their carers and the health care professionals treating it. The result is a research agenda outlining a list of priorities to inform the direction of future research.

XLSX

Philippines : COVID-19 Response (Who Does What Where)

OCHA Philippines

2900+ Downloads

Time Period of the Dataset [?]: March 25, 2020-August 06, 2021 ... More

This dataset updates: Never

This data is about the humanitarian activities by civil society organizations, clusters/sectors, government, private organizations, UN agencies and Red Cross related to COVID-19.

XLSX

UN Collective Results on the COVID-19 Socioeconomic Response in 2020

United Nations Development Coordination Office (inactive)

300+ Downloads

Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More

This dataset updates: Never

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.

XLSX

Eastern and Southern Africa COVID-19 - UNICEF - Situation and Response

UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)

200+ Downloads

Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More

This dataset updates: Never

COVID-19 Situation and Response Dashboard for Annual 2020

XLSX

Eastern and Southern Africa Humanitarian Situation and Response

UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)

200+ Downloads

Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More

This dataset updates: Never

UNICEF Eastern and Southern Africa Risks and Hazards- situation and response

XLSX

COVID19_RISK_INDEX

Uganda Red Cross Society (inactive)

100+ Downloads

Time Period of the Dataset [?]: December 30, 2020-December 30, 2020 ... More

This dataset updates: Never

This data is a zipped shapefile of the COVID-19 risk index based on the INFORM index framework.

SHP

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

OCHA Field Information Services Section (FISS)

COD 1300+ Downloads

Time Period of the Dataset [?]: April 23, 2020-April 23, 2020 ... More

This dataset updates: Never

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

Italy: Mobility COVID-19

ISI Foundation / Cuebiq Inc (inactive)

2300+ Downloads

Time Period of the Dataset [?]: February 23, 2020-March 13, 2020 ... More

This dataset updates: Never

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).

CSV

Community Feedback by Indonesian Red Cross (PMI)

Indonesian Red Cross (PMI) (inactive)

80+ Downloads

Time Period of the Dataset [?]: October 04, 2020-October 04, 2020 ... More

This dataset updates: Never

Community perceptions and feedback

Google Sheet