Search

Background Gender-based violence (GBV) includes any physical, sexual, psychological, economic harms, and any suffering of women in the form of limiting their freedom in personal or social life. As a global crisis, COVID-19 has exposed women to more violence, which requires serious actions. This work aims to review the most critical dimensions of the GBV against women, effective factors on it, and strategies for combating it during the COVID-19 pandemic in order to provide recommendations for future pandemics. Methods This study was conducted based on PRISMA-ScR. First, PubMed, Embase, Scopus, Web of Science, ProQuest, and Google Scholar were searched in April 2021 with no time limitation and location using the related keywords to COVID-19 and GBV. The searched keywords were COVID-19, gender-based violence, domestic violence, sexual violence, women, violence, abuse, and their synonyms in MESH and EMTREE. Duplicates were removed, titles and abstracts were screened, and then the characteristics and main results of included studies were recorded in the data collection form in terms of thematic content analysis. Results A total of 6255 records were identified, of which 3433 were duplicates. Based on inclusion criteria 2822 titles and abstracts were screened. Finally, 14 studies were eligible for inclusion in this study. Most of these studies were conducted in the United States, the Netherlands, and Iran, mostly with interventional and qualitative methods. Conclusions Strengthening ICT infrastructure, providing comprehensive government policies and planning, government economic support, social support by national and international organizations should be considered by countries worldwide. It is suggested that countries provide sufficient ICT infrastructure, comprehensive policies and planning, economic support, social support by collaboration between national and international organizations, and healthcare supporting to manage incidence of GBV against women in future pandemics.

Background One of the most important consequences of man-made disasters in the world is the loss of homes and, ultimately, forced population displacement. The sheltering of forcibly refugees to safe areas requires the study of scientific criteria. Methods This qualitative content analysis study was conducted in Iran to identify the criteria for the sheltering of refugees due to conflict. Participants in the study comprised experts and managers who had expertise, experience, or knowledge in the shelter for refugees. Data was collected in semi-structured interviews with 20 individuals and analyzed by qualitative content analysis to extract and categorize the factors affecting sheltering for refugees. Results The results of this study showed that a wide range of factors should be considered in the sheltering of refugees due to conflict, including land type, access to facilities, access to infrastructures, homogeneity, and similarities, security, distance from danger, environmental factors, economic issues, and political and legal issues. These nine categories covered 53 subcategories and 188 factors. Conclusions The comprehensiveness of the factors mentioned in this study showed that the sheltering of refugees due to conflict requires planning, training, culture building, promoting readiness, and inter-organizational coordination. Moreover, managers, policymakers, decision-makers in relief agencies, humanitarian organizations, and organizations involved in sheltering of refugees due to conflict should attend to these factors to improve the process and prevent problems.

PURPOSE: Sendai Framework is an international disaster risk reduction strategy that helps prioritization of disaster risk governance in all policies, strategies, and programs. Considering its geographical location and topographic characteristics, Iran experiences numerous hazards. Natural disasters adversely affect the health of population directly through injury and death, increased physical and mental illness, displacement and disruption of social networks. In addition, Iran’s public health facilities have been increasingly impacted by such events during the last decade. This study aimed to investigate the implementation of Sendai framework in health system in Iran. METHODS: In this mixed method study, first, throughout a literature review, all documents related to Disaster Risk Management (DRM) in Iran’s health system were extracted. Then the obstacles and facilitators of DRM were found out based on the literature review and, a two-round Delphi, followed by an expert panel was performed. According to the results of the Delphi and expert panel Pareto analysis, and Fishbone model were used. RESULTS: 85 obstacles and 33 facilitators were extracted in total, which were divided into ten groups include Coordination, Actors, Intervention, Monitoring & Evaluation, Accountability, Attitude, Context, Budget, Idea, and Content. The most important obstacles were attributable to the intervention group, the Context, and the attitudes. The most important facilitators were the intervention group, monitoring and evaluation, and then Actors, policy content and Idea. CONCLUSION: Despite the existing facilitators for the implementation of the Sendai framework in Iran, there are far more obstacles along the pathway. These factors are relevant to all aspects of policy which would require long-term and continuous cultural change and educational planning. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40201-021-00715-9.

Wild rats are known to carry different microorganisms and are considered a reservoir of zoonotic pathogens worldwide. The urban rats were collected from five districts of Tehran and Gram-negative bacteria (GNB) were isolated from fecal samples and were identified using classical biochemical tests. The antibiotic susceptibility patterns of isolated bacteria were determined by Kirby–Bauer disk diffusion method, the results of which were interpreted in line with CLSI guideline. The frequency of antibiotic-resistant genes was identified using multiplex-PCR. Moreover, PCR method was used to identify the frequency of Escherichia coli O157:H7 and main categories of diarrheagenic E. coli including EPEC, ETEC, EIEC, EAEC, and STEC pathotypes. A total of 100 Rattus norvegicus were trapped and fecal samples were collected. Overall, 72 fecal samples were positive for GNB. E. coli (n = 46/72) had the highest frequency among the isolated GNB. Among E. coli isolates, the highest and lowest resistance rates belonged to ampicillin (56.5%) and ceftriaxone (0%), respectively. Klebsiella spp. was 100% resistant to imipenem, and streptomycin (0%) was the most effective antimicrobial agent on Klebsiella spp. Among surveyed genes, blaTEM (95.8%) and blaaadA-1 (58.3%) had the highest frequency, while blaKPC, and blaCMY-2 were not detected among Enterobacteriaceae. Herein, O157: H7 serotype was not detected and aEPEC (87%) was the most common pathotype detected. Results suggested that rodents might be a reservoir of antimicrobial-resistant pathogens and rodent control along with implementation of surveillance programs should be considered as a critical priority for urban health.

BACKGROUND: The consequences of climate change are highly impeding the achievement of Sustainable Development Goals (SDGs) anywhere, especially in low and middle-income countries. While climate change scales up, its health-related risks increase, which in turn leads to cause new challenges for public health. As a second largest country of the Eastern Mediterranean Region of World Health Organization, Iran is highly vulnerable to the effects of climate change. PURPOSE: This study seeks the notion of health risks and challenges of climate change in Iran and provide potential evidence-based remedies to prevent and diminish such destructive effects. METHODS: A comprehensive literature in various computerized databases was conducted, and numerous published original research and review articles about climate change status and evidences of adverse health consequences of climate change in Iran were reviewed. RESULTS: The evidence suggests that the expected health challenges related to climate change in Iran are: rising temperatures; frequent extreme weather events; reduction of air quality; food-borne, water-borne, and vector-borne diseases; mental health and well-being consequences; and the increasing trend of natural disasters and deaths associated with climatological hazards. CONCLUSIONS: By considering the growing burden of diseases associated with climate variability in Iran as well as the interdisciplinary nature of climate change and health issues, an integrated, multi-sectoral, and comprehensive approach for identification, prioritization, and implementation of adaptation options is required by Ministry of Health and Medical Education as a custodian of public health in order to enhance the resiliency and adaption against adverse health effects of climate change.

In recent years, climate change has been one of the most complicated problems that human being has faced. Climate change adaptation (CCA) is considered to be an important component of risk management. In order to achieve adaptation, it is necessary to determine the indicators influencing adaptation in each community and this requires measurement and standard tools. The aim of this study is to determine and categorize the indicators of CCA. International electronic databases including Science Direct, Web of Science, Scopus, Google Scholar were investigated for only articles published in English language. In addition, Iranian databases including Irandoc, SID, and Magiran were investigated. There was no limitation on the methods of studies. Furthermore, snowball method was used for finding more articles while the ProQuest database was searched for related dissertations. The published documents from 1990 to November 2017 were gathered in this study. Out of 4439 publications initially search, 152 full texts were investigated. Finally, a total of 45 potentially relevant citations were included for full text review; in addition, fourteen other sources were investigated. Using snowball method, we found 24 other articles that were included in our final result. From the searches, 176 indicators were identified, while seven main domains were mentioned. Since in the articles, domains of adaptation are not in the form of a model, it is better to focus on this issue in the future and it seems that prioritizing and weighting domains in adaptation in different communities with different needs are an important issue.

Background Hospitals play a vital role in disaster stricken regions. The resilient hospitals will be able to provide essential services to affected people and it can mitigate the risk of injuries during and after disasters. This study aimed to obtain the indicators required for the evaluation of hospital resilience. Methods This systematic review was conducted in 2018. Through this systematic review, international electronic databases were investigated for the research studies published in English. The exclusion and inclusion criteria were determined to extract the hospital resilience indicators. These indicators will be used in order to develop a model to keep the system performance at an acceptable level during disasters. Results Out of 1794 research studies published until September 2018, 89 articles and guidelines with full text were surveyed. Thirty-two articles and guidelines were then selected and analyzed to collect the indicators related to hospital disaster resilience (HDR). The domains and the indicators were extracted from these selected research studies. The authors collected and categorized them into three domains and twenty seven subdomains. The three domains included constructive, infrastructural, and administrative resilience. The relevant indicators were designed for each subdomain to assess HDR. Conclusion Since diverse indicators affect hospital resilience, other studies should be conducted to propose some models or tools to quantify the hospital resilience in different countries and scopes with an all hazards approach.

The concept of community disaster resilience (CDR) has become one of the most popular terms in disaster literature. This concept is recognized as a culture-bound phenomenon that is influenced by diverse domains and indicators in any specific culture. This qualitative study uses content analysis to explore conceptual and working definitions, as well as domains and indicators of CDR in Iranian context. CDR is defined as “The ability of a community to coexist, cope with, and manage disasters through an integrated, comprehensive, participatory and positive approach.” Seeking a working definition, CDR explores as “The level of hazards that a community absorbs with no damage, the level of main functions that remains active, and the period a community needs to return to normal conditions.” CDR in Iran is formed by social, managerial, economic, cultural, physical, and environmental domains and as a holistic approach that makes disaster management effective and efficient.