Updated
31 March 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.
Updated
10 December 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
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
2 December 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.
Updated
15 April 2021
| Dataset date: November 15, 2020-April 15, 2021
This dataset updates: Every day
Contains data crowdsourced from Venezuelans through the Premise Data mobile application. The survey is presented only once to users and aims to capture current COVID-19 awareness around testing availability and symptoms, and identifies users who have moved to a different state in the last year.
More relevant information below:
The booklet included HERE goes into more details on how Premise's crowdsourcing works.
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
4 March 2021
| Dataset date: July 29, 2020-November 30, 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.
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).
Updated
5 February 2021
| 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
Updated
2 September 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
Updated
1 May 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.
Updated
31 March 2021
| Dataset date: March 06, 2020-March 30, 2021
This dataset updates: Every week
Covid-19 data at the city level in Togo - Infections (new cases, gender), Deaths, Recoveries
We have been collecting Covid-19 in Africa for a year, if you have any feedback on how you use our data, don't hesitate to contact us at org.hera@gmail.com and share your work !
