Updated
July 30, 2020
| Dataset date: Jun 25, 2020
This dataset updates: Every week
Raw Global 3W national data visualized in the Global Humanitarian Operational Presence Who, What, Where (3W) Portal as of 30 July 2020
Fields:
'Country_Code' -- example 'UKR' for Ukraine
'Sector' -- example 'CCCM' = Camp Coordination / Management
'Org_type' -- INGO (International NGO), NNGO (National NGO), UN (United Nations), 'Undefined', or 'Other'
'COVID_19' -- 'yes' / 'no' (pertaining to the context)
'3wMonthYearDisplay' -- date of data applicability
'DisplayName' -- Organization name.
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
July 27, 2020
| Dataset date: Mar 1, 2020-Jun 30, 2020
This dataset updates: Every month
This dataset includes the latest available information on COVID-19 developments impacting the security of aid work and operations to help aid agencies meet duty of care obligations to staff and reach people in need. The COVID-19 Aid Security Overview Data by Insecurity Insight is provisional and awaiting final approval. It may contain errors.
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.
Updated
June 29, 2020
| Dataset date: Apr 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.
Population statistics are available for 37 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
July 30, 2020
| Dataset date: Jul 26, 2020
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.
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.
The current outbreak of COVID-19 has affected global mobility in the form of various travel disruptions, restrictions and blockages. To better understand how COVID-19 affects global mobility, the International Organization for Migration (IOM) has been working to map the impacts on human mobility, at Global, Regional and Country level.
Using direct input from IOM missions, this dashboard displays updated mobility restrictions at location level (airport, land border points, sea border points, internal transit points). For each point of entry, data is collected on: type of restriction, measured applied & timeframe, population category that might be affected from the measures.
Figures about the evolution of Covid19 in African countries, new infected, recovered and deceased per day and cumulative cases of infected, recovered and deceased.
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
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.
