Updated
Live
| Dataset date: February 24, 2022-July 07, 2022
This dataset updates: Live
In 2015, the World Health Organization established the Attacks on Health Care (AHC) initiative. This initiative is a priority of WHO’s Health Emergencies Programme. The vision of the initiative is that essential lifesaving health services must be provided to emergency-affected populations unhindered by any form of violence or obstruction. The Surveillance System for Attacks on Health Care (SSA) is one of the outputs of this initiative. The purpose of the WHO Surveillance System for Attacks on Health Care (SSA) is to systematically collect and make available data on attacks on health care, and their immediate impact on health care in countries facing emergencies.
Definition of attack
WHO defines an attack as any act of verbal or physical violence, threat of violence or other psychological violence, or obstruction that interferes with the availability, access and delivery of curative and/or preventive health services.
Criteria for determining the level of certainty of an attack on health care
Rumour
Social media post (Twitter or Facebook) OR
Hearsay OR
Form submission from anonymous source
Possible
Media report from local or international news source OR
Communication from an organization not defined in the partner group that an attack has been made against them
Probable
One eyewitness accounts of the attack as told to one or more SSA partner OR
Two secondary accounts (not eyewitnesses) of the attack as told to one or more SSA partner(s)
Confirmed
Communication from an SSA partner that an attack has been made against them OR
One eyewitness account by someone from the SSA partner group OR
Two eyewitness accounts of the attack as told to one or more SSA partner(s) OR
Types and sources of information that would be graded as ‘Probable’ PLUS-A photo, video or satellite image of the attack or its aftermath, or an international media or police report that provides clear evidence of the attack
Updated
26 June 2022
| Dataset date: January 01, 2022-June 21, 2022
This dataset updates: As needed
1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 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) The information includes assessment figures from OCHA, ANDMA, IOM, 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.
Updated
12 April 2022
| Dataset date: January 01, 2017-November 16, 2021
This dataset updates: Every six months
War-Damaged Shelter Rehabilitation data as submitted by humanitarian and development actors undertaking assessment and rehabilitation of war-damaged shelter for returnees across the country.
Updated
15 February 2022
| Dataset date: January 01, 2017-December 31, 2021
This dataset updates: As needed
This page provides the data published in the Education in Danger Monthly News Brief.
All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
Updated
13 February 2022
| Dataset date: January 01, 2021-August 30, 2021
This dataset updates: As needed
1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 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) The information includes assessment figures from OCHA, ANDMA, IOM, 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.
Updated
13 August 2021
| Dataset date: January 01, 2018-July 31, 2021
This dataset updates: Every six months
Number of private houses damaged as a result of conflict at adm 0-1 levels, disaggregated by GCA/NGCA. Yearly numbers of damaged houses for 2018-2021 and monthly numbers for June 2020 - July 2021.
Updated
11 June 2021
| Dataset date: April 30, 2021-July 07, 2022
This dataset updates: Every month
The Civilian Impact Monitoring Project (CIMP) is a monitoring mechanism for real-time collection, analysis and dissemination of open source data on the civilian impact from armed violence in Yemen, with the purpose of informing and complementing protection programming. CIMP is a service under the United Nations Protection Cluster for Yemen and, since going live on 01 August 2018, has reported in real-time on the impact of incidents of armed violence on civilians at the national level, divided into 5 hubs: Al-Hudaydah, Sa’ada, Sana’a, Aden and Ibb. The dataset shows the number of incidents to have impacted upon civilian houses, farms, vehicles, businesses and markets and the number of incidents to have impacted upon civilian infrastructure sites since December 2017.
Updated
9 May 2021
| Dataset date: January 01, 2020-December 27, 2020
This dataset updates: As needed
1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 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) The information includes assessment figures from OCHA, ANDMA, IOM, 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.
Updated
5 October 2020
| Dataset date: January 01, 2019-December 31, 2019
This dataset updates: As needed
1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 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) The information includes assessment figures from OCHA, ANDMA, IOM, 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.
Updated
25 July 2018
| Dataset date: September 30, 2017-September 30, 2017
This dataset updates: Every year
This dataset contains the location of affected schools by village, district, and governorate level. Includes number of students by gender, state of damage, school affected status, cause of damage, damage description, among other variables.
Updated
Live
| Dataset date: December 11, 2017-December 11, 2017
This dataset updates: Live
This map illustrates satellite-detected damage to infrastructure and roads in a portion of the city of Deir Ez Zor, Syrian Arab Republic and is derived from a full UNOSAT analysis of damage to Deir Ez Zor in 2017. Using satellite imagery acquired 9 November 2017, UNITAR - UNOSAT identified 6 destroyed bridges, 54 damaged road segments and 93 visible impact craters affecting roads. Approximately 169 structures corresponding to educational facilities, and 21 structures likely related to health facilities are also affected. UNOSAT analysis shows that there are 3 destroyed electricity towers south of the city. Note that sources of infrastructure data include various open source datasets which are likely incomplete, as well as visual review of satellite imagery by UNOSAT for certain features like towers. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Updated
Live
| Dataset date: December 05, 2017-December 05, 2017
This dataset updates: Live
This map illustrates satellite-detected damage to infrastructure and roads in the city of Ar Raqqa, Syrian Arab Republic and is derived from a full UNOSAT analysis of damage to Ar Raqqa in 2017. Using satellite imagery acquired 21 October 2017, UNITAR - UNOSAT identified 5 destroyed bridges, 74 damaged road segments and 94 visible impact craters affecting roads. Approximately 159 structures corresponding to educational facilities, and 26 structures likely related to health facilities are also affected. UNOSAT analysis shows that 8 water towers are completely destroyed and there is damage to one electric substation and a sewage treatment facility. Note that sources of infrastructure data include various open source datasets which are likely incomplete, as well as visual review of satellite imagery by UNOSAT for certain features like water towers. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
