Dataset Information

Attacks on healthcare facilities as an indicator of violence against civilians in Syria: An exploratory analysis of open-source data.

ABSTRACT:

Background

Grasping the human cost of war requires comprehensive evaluation of multiple dimensions of conflict. While the number of civilian casualties is a frequently used indicator to evaluate intensity of violence in conflict, the inclusion of other indicators may provide a more complete understanding of how war impacts people and their communities. The Syrian conflict has been specifically marked by attacks against healthcare facilities, and the advancement of technology has provided an avenue for remote data analysis of conflict trends. This study aims to determine the feasibility of using publicly available, online data of attacks on healthcare facilities to better describe population-level violence in the Syrian Civil War.

Methods

This study utilized publicly available datasets from the Violations Documentation Center (VDC) and Physicians for Human Rights (PHR) to compare trends in attacks on healthcare facilities and civilian casualties from March 2011 to November 2017 in the Syrian Civil War. We used descriptive statistics, bivariate tests and a multivariable hypothesis testing model to measure the association between the two indicators while adjusting for confounding variables.

Results

We examined for associations between attacks on healthcare facilities and overall civilian casualties. In the adjusted regression model, each attack on a healthcare facility in the Syrian conflict corresponded to an estimated 260 reported civilian casualties in the same month (95% CI: 227 to 294). This model adjusted for population displacement (using number of registered refugees as a proxy). The May 2014 interaction term, used a transition point of early/late war based on political events during that time, illustrated that each healthcare facility attack after May 2014 corresponded to a statistically significant decrease of 228 civilian deaths. This suggests that although attacks on healthcare facilities continued to contribute to overall civilian deaths, the scale that this was happening was lower after May 2014.

Conclusion

In the Syrian Civil War, our findings suggest that the inclusion of other humanitarian indicators, such as attacks on hospitals, may add granularity to traditional indicators of violence (e.g. such as civilian casualties) to develop a more nuanced understanding of the warring tactics used and violence against civilians in the Syrian conflict. This exploratory case study represents a novel approach to utilizing open-source data along with statistical analysis to interpret violence against civilians. Future research could benefit from analyzing attacks on healthcare facilities and other civilian infrastructure concurrently with civilian casualty data for further data-driven utilization of open-source data.

SUBMITTER: Ri S

PROVIDER: S-EPMC6557482 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Attacks on healthcare facilities as an indicator of violence against civilians in Syria: An exploratory analysis of open-source data.

Ri Sayaka S Blair Alden H AH Kim Chang Jun CJ Haar Rohini J RJ

PloS one 20190610 6

<h4>Background</h4>Grasping the human cost of war requires comprehensive evaluation of multiple dimensions of conflict. While the number of civilian casualties is a frequently used indicator to evaluate intensity of violence in conflict, the inclusion of other indicators may provide a more complete understanding of how war impacts people and their communities. The Syrian conflict has been specifically marked by attacks against healthcare facilities, and the advancement of technology has provided ...[more]

PMID: 31181095

Similar Datasets

Project description:BackgroundNot changing the native constitution of genes prior to their expression by a heterologous host can affect the amount of proteins synthesized as well as their folding, hampering their activity and even cell viability. Over the past decades, several strategies have been developed to optimize the translation of heterologous genes by accommodating the difference in codon usage between species. While there have been a handful of studies assessing various codon optimization strategies, to the best of our knowledge, no research has been performed towards the evaluation and comparison of codon harmonization algorithms. To highlight their importance and encourage meaningful discussion, we compared different open-source codon harmonization tools pertaining to their in silico performance, and we investigated the influence of different gene-specific factors.ResultsIn total, 27 genes were harmonized with four tools toward two different heterologous hosts. The difference in %MinMax values between the harmonized and the original sequences was calculated (ΔMinMax), and statistical analysis of the obtained results was carried out. It became clear that not all tools perform similarly, and the choice of tool should depend on the intended application. Almost all biological factors under investigation (GC content, RNA secondary structures and choice of heterologous host) had a significant influence on the harmonization results and thus must be taken into account. These findings were substantiated using a validation dataset consisting of 8 strategically chosen genes.ConclusionsDue to the size of the dataset, no complex models could be developed. However, this initial study showcases significant differences between the results of various codon harmonization tools. Although more elaborate investigation is needed, it is clear that biological factors such as GC content, RNA secondary structures and heterologous hosts must be taken into account when selecting the codon harmonization tool.

Project description:BACKGROUND:The use of mental health supports by populations exposed to terrorist attacks is rarely studied despite their need for psychotrauma care. This article focuses on civilians exposed to the November 2015 terrorist attacks in Paris and describes the different combinations of mental health supports (MHSu) used in the following year according to type of exposure and type of mental health disorder (MHD). METHODS:Santé publique France conducted a web-based survey of civilians 8-11?months after their exposure to the November 2015 terrorist attacks in Paris. All 454 respondents met criterion A of the DSM-5 definition of post-traumatic stress disorder (PTSD). MHD (anxiety, depression, PTSD) were assessed using the PCL-5 checklist and the Hospital Anxiety and Depression Scale. MHSu provided were grouped under outreach psychological support, visits for psychological difficulties to a victims' or victim support association, consultation with a general practitioner (GP), consultation with a psychiatrist or psychologist (specialist), and initiation of regular mental health treatment (RMHT). Chi-squared tests highlighted differences in MHSu use according to type of exposure (directly threatened, witnessed, indirectly exposed) and MHD. Phi coefficients and joint tabulations were employed to analyse combinations of MHSu use. RESULTS:Two-thirds of respondents used MHSu in the months following the attacks. Visits to a specialist and RMHT were more frequent than visits to a GP (respectively, 39, 33, 17%). These were the three MHSu most frequently used among people with PTSD (46,46,23%), with depression (52,39,20%), or with both (56,58, 33%). Witnesses with PTSD were more likely not to have RMHT than those directly threatened (respectively, 65,35%). Outreach support (35%) and visiting an association (16%) were both associated with RMHT (Phi?=?0.20 and 0.38, respectively). Very few (1%) respondents initiated RMHT directly. Those who indirectly initiated it (32%) had taken one or more intermediate steps. Visiting a specialist, not a GP, was the most frequent of these steps. CONCLUSION:Our results highlight possibilities for greater coordination of mental health care after exposure to terrorist attacks including involving GP for screening and referral, and associations to promote targeted RMHT. They also indicate that greater efforts should be made to follow witnesses.

Project description:BackgroundValid measures of sexual violence stigma that can be readily incorporated into program monitoring and evaluation systems are needed to strengthen gender-based violence (GBV) services in humanitarian emergencies. This study sought to assess the psychometric properties, construct validity, and measurement invariance of sexual violence stigma scales among female Somali GBV survivors in Kenya and Syrian GBV survivors in Jordan to identify an abbreviated scale that could be used across humanitarian contexts.MethodsWe administered measures of sexual violence stigma to 209 female survivors of sexual violence aged 15 and older in Kenya and Jordan. Exploratory factor analysis was used to assess the underlying latent structure, and Item Response Theory was used to estimate item difficulty and discrimination parameters to guide efforts to shorten the scales. Differential item functioning (DIF) by site was assessed using Multiple Indicators, Multiple Causes models. Construct validity of the sexual violence stigma scales was assessed by estimating correlations with functional impairment, depression, and disability.ResultsThe sexual violence stigma measure exhibited distinct factor structures among Somali and Syrian GBV survivors. Among Somali survivors, a two-factor model with separate felt (10 items) and enacted (4 items) stigma constructs was identified, with scales for both domains exhibiting good internal consistency (Cronbach's alpha = 0.93 and 0.88, respectively). In Jordan, a single factor solution was uncovered for a 15-item stigma scale with good internal consistency (alpha = 0.86). The shortened core sexual stigma scale consisting of the 4 items that did not exhibit DIF had a Cronbach's alpha of 0.82 in Kenya and 0.81 in Jordan. The felt stigma scale in Kenya, the full stigma scale in Jordan, and abbreviated core stigma scales in both countries were meaningfully correlated with depression, while correlations with functional impairment were weaker and inconsistent across scales.ConclusionsAn abbreviated core set of invariant perceived and internalized sexual violence stigma items demonstrated evidence of construct validity in two diverse settings. The ability of this measure to be efficiently administered as a part of routine program monitoring and evaluation activities, with the potential addition of items from a measurement bank to improve contextual relevance, can facilitate improvements in the delivery and quality of gender-based violence programs in humanitarian emergencies.

Project description:BACKGROUND:Violent attacks on and interferences with hospitals, ambulances, health workers, and patients during conflict destroy vital health services during a time when they are most needed and undermine the long-term capacity of the health system. In Syria, such attacks have been frequent and intense and represent grave violations of the Geneva Conventions, but the number reported has varied considerably. A systematic mechanism to document these attacks could assist in designing more protection strategies and play a critical role in influencing policy, promoting justice, and addressing the health needs of the population. METHODS AND FINDINGS:We developed a mobile data collection questionnaire to collect data on incidents of attacks on healthcare directly from the field. Data collectors from the Syrian American Medical Society (SAMS), using the tool or a text messaging system, recorded information on incidents across four of Syria's northern governorates (Aleppo, Idleb, Hama, and Homs) from January 1, 2016, to December 31, 2016. SAMS recorded a total of 200 attacks on healthcare in 2016, 102 of them using the mobile data collection tool. Direct attacks on health facilities comprised the majority of attacks recorded (88.0%; n = 176). One hundred and twelve healthcare staff and 185 patients were killed in these incidents. Thirty-five percent of the facilities were attacked more than once over the data collection period; hospitals were significantly more likely to be attacked more than once compared to clinics and other types of healthcare facilities. Aerial bombs were used in the overwhelming majority of cases (91.5%). We also compared the SAMS data to a separate database developed by Physicians for Human Rights (PHR) based on media reports and matched the incidents to compare the results from the two methods (this analysis was limited to incidents at health facilities). Among 90 relevant incidents verified by PHR and 177 by SAMS, there were 60 that could be matched to each other, highlighting the differences in results from the two methods. This study is limited by the complexities of data collection in a conflict setting, only partial use of the standardized reporting tool, and the fact that limited accessibility of some health facilities and workers and may be biased towards the reporting of attacks on larger or more visible health facilities. CONCLUSIONS:The use of field data collectors and use of consistent definitions can play an important role in the tracking incidents of attacks on health services. A mobile systematic data collection tool can complement other methods for tracking incidents of attacks on healthcare and ensure the collection of detailed information about each attack that may assist in better advocacy, programs, and accountability but can be practically challenging. Comparing attacks between SAMS and PHR suggests that there may have been significantly more attacks than previously captured by any one methodology. This scale of attacks suggests that targeting of healthcare in Syria is systematic and highlights the failure of condemnation by the international community and medical groups working in Syria of such attacks to stop them.

Dataset Information

Attacks on healthcare facilities as an indicator of violence against civilians in Syria: An exploratory analysis of open-source data.

Background

Methods

Results

Conclusion

Publications

Attacks on healthcare facilities as an indicator of violence against civilians in Syria: An exploratory analysis of open-source data.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets