Correction: Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012-2019.

[This corrects the article DOI: 10.1371/journal.pgph.0000581.].

Systematic review on chronic non-communicable disease in disaster settings.

BACKGROUND: Non-communicable diseases (NCDs) constitute the leading cause of mortality globally. Low and middle-income countries (LMICs) not only experience the largest burden of humanitarian emergencies but are also disproportionately affected by NCDs, yet primary focus on the topic is lagging. We conducted a systematic review on the effect of humanitarian disasters on NCDs in LMICs assessing epidemiology, interventions, and treatment. METHODS: A systematic search in MEDLINE, MEDLINE (PubMed, for in-process and non-indexed citations), Social Science Citation Index, and Global Health (EBSCO) for indexed articles published before December 11, 2017 was conducted, and publications reporting on NCDs and humanitarian emergencies in LMICs were included. We extracted and synthesized results using a thematic analysis approach and present the results by disease type. The study is registered at PROSPERO (CRD42018088769). RESULTS: Of the 85 included publications, most reported on observational research studies and almost half (48.9%) reported on studies in the Eastern Mediterranean Region (EMRO), with scant studies reporting on the African and Americas regions. NCDs represented a significant burden for populations affected by humanitarian crises in our findings, despite a dearth of data from particular regions and disease categories. The majority of studies included in our review presented epidemiologic evidence for the burden of disease, while few studies addressed clinical management or intervention delivery. Commonly cited barriers to healthcare access in all phases of disaster and major disease diagnoses studied included: low levels of education, financial difficulties, displacement, illiteracy, lack of access to medications, affordability of treatment and monitoring devices, and centralized healthcare infrastructure for NCDs. Screening and prevention for NCDs in disaster-prone settings was supported. Refugee status was independently identified both as a risk factor for diagnosis with an NCD and conferring worse morbidity. CONCLUSIONS: An increased focus on the effects of, and mitigating factors for, NCDs occurring in disaster-afflicted LMICs is needed. While the majority of studies included in our review presented epidemiologic evidence for the burden of disease, research is needed to address contributing factors, interventions, and means of managing disease during humanitarian emergencies in LMICs.

A review of interventions for noncommunicable diseases in humanitarian emergencies in low- and middle-income countries.

OBJECTIVE: Noncommunicable diseases (NCDs) are of increasing prevalence in low- and middle-income countries (LMICs), affected by disasters. Humanitarian actors are increasingly confronted with how to effectively manage NCDs, yet primary focus on this topic is lacking. We conducted a systematic review on the effects of disasters on NCDs in LMICs. Key interventions were identified, and their effects on populations in disaster settings were reviewed. DESIGN: We electronically searched Medline, PubMed, Global Health, and Social Science Citation Index. We followed standard systematic review methodology for the selection, data abstraction, and risk of bias assessment. Eligible articles incorporated core intervention components as defined by the United States Department of Health and Human Services. Key intervention components including target population, phase of crisis, and measured outcomes were extracted and synthesized using a thematic analysis approach. The full systematic review is registered at PROSPERO (CRD42018088769). RESULTS: Of the 4,430 identified citations, we identified seven eligible studies. Studies reported on the response (n = 4) and recovery (n = 3) phases of disaster, with no studies reporting on the mitigation or preparedness phases. Successful interventions conducted predeployment risk assessments, performed training and capacity building for healthcare workers, worked in close cooperation with local health services, evaluated individual needs of subpopulations, promoted task shifting between humanitarian and development actors, and adopted flexibility in guideline -implementation. CONCLUSIONS: This review highlights the limited quantity and quality of evidence on interventions designed to address NCDs in humanitarian emergencies, with a particular paucity of studies addressing the mitigation and preparedness phases of disaster. While several challenges to NCD management such as insecurity and fluid movement of refugees create inherent challenges to NCD management in disasters, the lack of knowledge and training in NCD management among healthcare providers and the absence of basic medications and supplies for NCD management highlighted in this review are amenable to further intervention.

Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012-2019.

Conflict in Yemen has displaced millions and destroyed health infrastructure, resulting in the world's largest humanitarian disaster. The objective of this paper is to examine mortality in Yemen to determine whether it has increased significantly since the conflict began in 2015 compared to the preceding period. We analysed 91 household surveys using the Standardized Monitoring and Assessment of Relief and Transitions methodology, covering 2,864 clusters undertaken from 2012-2019, and deaths from Armed Conflict Location & Event Data Project database covering the conflict period 2015-2019. We used a Poisson-Gamma model to estimate pre-conflict (µp, baseline value) and conflict period (µc) mean death rates using household survey data from 2012-2019. To analyse changes in the distribution of deaths and estimate nationwide excess deaths, we applied pre- and post-conflict death rates to total population numbers. Further, we tested for association between excess death and security levels by governorate. The national estimated crude death rate/10,000 in the conflict period was 0.20 (95% CI: 0.17, 0.24), which is meaningfully higher than the estimated baseline rate of 0.19 (95% CI: 0.17, 0.22). Applying the conflict period rate to the Yemeni population, we estimated 168,212 excess deaths that occurred between 2015 and 2019. There was an 17.8% increase in overall deaths above the baseline during the conflict period. A large share (67.2%) of the excess deaths were due to combat-related violence. At the governorate level, posterior crude death rate varied across the country, ranging from 0.03 to 0.63 per 10,000 per day. Hajjah, Ibb, and Al Jawf governorates presented the highest total excess deaths. Insecurity level was not statistically associated with excess deaths. The health situation in Yemen was poor before the crisis in 2015. During the conflict, intentional violence from air and ground strikes were responsible for more deaths than indirect or non-violent causes. The provision of humanitarian aid by foreign agencies may have helped contain increases in indirect deaths from the conflict.