Updated
September 28, 2020
| Dataset date: Jan 1, 2017-Aug 31, 2020
This dataset updates: As needed
These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Niger to ensure staff safety and better response outcomes.
Updated
September 28, 2020
| Dataset date: Jan 1, 2019-Aug 31, 2020
This dataset updates: As needed
These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Burkina Faso to ensure staff safety and better response outcomes.
Updated
September 28, 2020
| Dataset date: Jan 1, 2019-Aug 31, 2020
This dataset updates: As needed
These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Cameroon to ensure staff safety and better response outcomes.
Updated
September 28, 2020
| Dataset date: Jan 1, 2015-Aug 31, 2020
This dataset updates: As needed
These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Burkina Faso to ensure staff safety and better response outcomes.
Updated
September 23, 2020
| Dataset date: Jan 1, 2017-Jul 31, 2020
This dataset updates: As needed
The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This page is managed by SHCC member Insecurity Insight.
Updated
September 23, 2020
| Dataset date: Jan 1, 2018-Jun 30, 2020
This dataset updates: As needed
This dataset contains verified submissions from our partner agencies and publicly-reported data for events affecting the delivery of health care in the DRC.
Updated
September 9, 2020
| Dataset date: Jan 1, 2019-Dec 31, 2019
This dataset updates: As needed
These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Iraq to ensure staff safety and better response outcomes.
Updated
July 3, 2020
| Dataset date: Jan 1, 2019-Dec 31, 2019
This dataset updates: As needed
These datasets contain information on violent and threatening incidents affecting healthcare in Syria to ensure staff safety and better response outcomes.
Updated
June 10, 2020
| Dataset date: Dec 31, 2018-Jan 1, 2019
This dataset updates: Every year
These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Burkina Faso to ensure staff safety and better response outcomes.
Updated
May 19, 2020
| Dataset date: Jan 1, 2019-Dec 31, 2019
This dataset updates: As needed
These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in oPt to ensure staff safety and better response outcomes.
Updated
January 8, 2020
| Dataset date: Jun 30, 2018
This dataset updates: As needed
This data refers to the cumulative number of health workers by profession and by type of facility ownership from 2010 to June 2018, based on the available data from National Database of Human Resources for Health Information System (NDHRHIS) of the Department of Health as of 30 June 2018. Data are reflective of hospitals, clinical laboratories that have self-registered in the NDHRHIS and covered 60% of licensed private and public hospitals and laboratories. Municipalities without data on public/government owned facilities does mean that there are no government-owned facilities rather that no such facilities was captured in the NDHRHIS.
In 2014, RIWI Corp. launched an online survey in Nigeria, Liberia, and Sierra Leone capturing public perceptions data from over 4,000 respondents on the status of Ebola in those countries. Respondents were asked a series of questions related to their confidence in government and aid agencies to manage the Ebola outbreak, as well as their own behavioral response to the infection. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
