This dataset includes the latest available information on reported incidents affecting health care between January 2016-September 2021. The data is featured on Insight Insight's 'Attacked and Threatened Health Care at Risk' Interactive Map. Explore the map here: https://map.insecurityinsight.org/health/
Aid Security and COVID-19
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Updated: 27 October 2021
This coded dataset contains data on two different types of COVID 19 related events that affect aid security: • COVID 19 Event: Event in response to COVID health measures, events that affect the delivery of COVID-19 health measures, and events where health workers working during the COVID-19 pandemic are harmed. • Conflict Event: Conflict-related event affecting health care The events are coded based on available information about the event. Events are added to this datasheet after a cleaning and verification process has been completed. Insecurity Insight is receiving help for this work from John Hopkins University (USA), Drexel University (USA) and the Berkeley Human Rights Lab, (USA). The incidents are included in 'Violence Against Health Care: Attacks During a Pandemic' story map - a collaboration between Insecurity Insight and UC Berkeley Human Rights Center. Explore the story map here: https://storymaps.arcgis.com/stories/fd6a804a17b74f0aaa3d00b76b9ab192
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Updated: 29 January 2021
This dataset contains only the Conflict Events from the above dataset. It contains only events that are perpetrated by conflict actors, defined as state security forces or non-state actors engaged in armed conflict or who carry out one-sided violence against civilians. It provides details on the perpetrator and the weapon use. This dataset follows the definition and methodology of the Safeguarding Health in Conflict Coalition (SHCC). See https://bit.ly/3daW5uJ for methodology
Source | Insecurity Insight |
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Contributor | Insecurity Insight |
Date of Dataset | January 01, 2016-September 30, 2021 |
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Expected Update Frequency | As needed |
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Public
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License | Creative Commons Attribution Share-Alike |
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