Subnational INFORM - Caucasus and Central Asia

✦ DISCOVERED BY ORIONAIOCHA ROCCA (inactive)SocietyKazakhstan
Kazakhstan

About this dataset

The subnational INFORM model for Caucasus and Central Asia was initiated by the Regional Inter-Agency Standing Committee (IASC) Task Force for Caucasus and Central Asia and is managed by OCHA. The INFORM model is being used to support coordinated preparedness actions. Partners hope to use the model to improve cooperation between humanitarian and development actors in managing risk and building resilience across the region. INFORM identifies areas at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM model is based on risk concepts published in scientific literature and envisages three dimensions of risk: Hazards & Exposure, Vulnerability and Lack of Coping Capacity. The INFORM model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk. The regional subnational INFORM model for Caucasus and Central Asia is developed at the first administrative level (corresponding to the provinces/oblasts/regions and few independent cities) of the eight countries in South Caucasus and Central Asia. The INFORM index supports a proactive crisis management framework. It will be helpful for an objective allocation of resources for disaster management as well as for coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies.

Documentation

INFORM identifies the countries at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM model is based on risk concepts published in scientific literature and envisages three dimensions of risk: Hazards & Exposure, Vulnerability and Lack of Coping Capacity. The INFORM model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk. The INFORM index supports a proactive crisis and disaster management framework. It will be helpful for an objective allocation of resources for disaster management as well asfor coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies. Full methodology can be found here: Http://www.inform-index.org/InDepth

Related datasets

✦ Suggested by OrionAI
HDX HAPI: Get national risk data

European Commission national risk data from the INFORM-risk framework. See the more detailed technical HDX HAPI documentation, and the original INFORM-risk source website.

Society · OCHA Centre for Humanitarian Data (HDX)
ViewSave
Armenia: Integrated Context Analysis (ICA), 2016

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

Agriculture · WFP - World Food Programme
ViewSave
Armenia: Integrated Context Analysis (ICA), 2017

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

Agriculture · WFP - World Food Programme
ViewSave
Epidemics

Epidemics: countries where humanitarian crises, including health crises, are impeding the population to address the potential impacts of climate change. Pixels with a value higher than the specified threshold (6) were given a value of 1 (YES response) The INFORM Epidemic Risk Index is a prototype version of hazard dependent INFORM Risk Index created in 2018. It was developed under the technical lead of the JRC and in close collaboration with WHO for the epidemic components. In its original version it covers four groups of Infectious diseases on the base of the mode of transmission and the epidemiological triad addressing agent, host and environment: Zoonoses, Vector borne, Person-to-person (P2P), Foodborne and Waterborne. **Data revision:** 2020-01-01 **Contact points:** Contact: [DRMKC - Disaster Risk Management Knowledge Centre](mailto:EC-drmkc@ec.europa.eu) JRC European Commission Metadata contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) FAO-UN **Resource constraints:** license **Online resources:** The INFORM Epidemic Risk Index assesses the risk of countries to epidemic outbreak, which would exceed the national capacity to respond to the crisis.

Health · Climate Risk Toolbox (CRTB)
ViewSave
Georgia - Subnational Administrative Boundaries

Georgia administrative level 0-2 boundaries (COD-AB) dataset version 01. This dataset is structured into 2 levels: - Admin 1: 13 Region, city, or autonomous republic - Admin 2: 70 District or self-governing city, partial coverage Dates associated with this dataset: - 31 January 2024: dataset reviewed for accuracy and completeness - 18 October 2019: valid for use by the humanitarian community - 28 August 2019: last edit to the dataset before publishing - 28 August 2019: boundaries created by the source Contributed by OCHA Middle East and North Africa (ROMENA). Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries

Boundaries · OCHA Field Information Services Section (FISS)
ViewSave
Tajikistan: Integrated Context Analysis (ICA), 2015

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

Agriculture · WFP - World Food Programme
ViewSave

Indexed by OrionGIS from Humanitarian Data Exchange (HDX). Data is loaded from the publisher's own server when you use it. Permanent link