scholarly journals How to manage emergency response of health teams to natural disasters in Iran: A systematic review

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Sahar Paryab ◽  
HamidReza Mehryar ◽  
Omid Garkaz ◽  
Mojtaba Sepandi ◽  
Maryam Taghdir
Author(s):  
Mariya Bezgrebelna ◽  
Kwame McKenzie ◽  
Samantha Wells ◽  
Arun Ravindran ◽  
Michael Kral ◽  
...  

This systematic review of reviews was conducted to examine housing precarity and homelessness in relation to climate change and weather extremes internationally. In a thematic analysis of 15 reviews (5 systematic and 10 non-systematic), the following themes emerged: risk factors for homelessness/housing precarity, temperature extremes, health concerns, structural factors, natural disasters, and housing. First, an increased risk of homelessness has been found for people who are vulnerably housed and populations in lower socio-economic positions due to energy insecurity and climate change-induced natural hazards. Second, homeless/vulnerably-housed populations are disproportionately exposed to climatic events (temperature extremes and natural disasters). Third, the physical and mental health of homeless/vulnerably-housed populations is projected to be impacted by weather extremes and climate change. Fourth, while green infrastructure may have positive effects for homeless/vulnerably-housed populations, housing remains a major concern in urban environments. Finally, structural changes must be implemented. Recommendations for addressing the impact of climate change on homelessness and housing precarity were generated, including interventions focusing on homelessness/housing precarity and reducing the effects of weather extremes, improved housing and urban planning, and further research on homelessness/housing precarity and climate change. To further enhance the impact of these initiatives, we suggest employing the Human Rights-Based Approach (HRBA).


Acta Tropica ◽  
2021 ◽  
Vol 217 ◽  
pp. 105855
Author(s):  
Mosayeb Rostamian ◽  
Shahab Rezaeian ◽  
Mohamed Hamidouche ◽  
Fariborz Bahrami ◽  
Keyghobad Ghadiri ◽  
...  

2018 ◽  
Vol 18 (03) ◽  
pp. e22
Author(s):  
Fernando Loor ◽  
Veronica Gil-Costa ◽  
Mauricio Marin

After disaster strikes, emergency response teams need to work fast. In this context, crowdsourcing has emerged as a powerful mechanism where volunteers can help to process different tasks such as processing complex images using labeling and classification techniques. In this work we propose to address the  problem of how to efficiently process large volumes of georeferenced images using crowdsourcing in the context of high risk such as natural disasters. Research on citizen science and crowdsourcing indicates that volunteers should be able to contribute in a useful way with a limited time to a project, supported by the results of usability studies. We present the design of a platform for real-time processing of georeferenced images. In particular, we focus on the interaction between the crowdsourcing and the volunteers connected to a P2P network.


2021 ◽  
Vol 9 (2) ◽  
pp. 413
Author(s):  
Gaudensius Waldi Fernando ◽  
Emilya Kalsum ◽  
Jawas Dwijo Putro

Natural conditions as well as the diversity of population and culture in Indonesia cause the risk of natural disasters, social disasters and complex emergencies to arise. The implementation of emergency response is also often not supportive, the distribution of aid and services is not fast, uneven and difficult to monitor properly, so that the progress of the results of disaster emergency response activities is less objectively measurable. In Sintang Regency, in addition to natural disasters, social disasters also often occur, because the facilities are not standardized and accommodated so that services are not optimal. Judging from the existing needs, the Disaster Management Center is a facility that can assist the implementation of Disaster Emergency Response activities in Sintang Regency. The Disaster Management Center can accommodate disaster emergency response activities so that it has strategic command lines so that information confusion can be minimized so as to realize appropriate policies in dealing with disasters. The planned Disaster Management Center is a facility that functions to accommodate agencies related to pre- and post-disaster management, both as a place for disaster management and as an information center. The design method for this Disaster Management Center uses a comparison of literatures and performs data processing to describe the design process of the Sintang Regency Disaster Management Center. The mass of the building is divided into three parts separated by function and purpose. The approach to design applies an integrated concept, referring to a standardized and accommodating spatial layout.


GeoEco ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 41
Author(s):  
Apriyatno Apriyatno ◽  
Chatarina Muryani ◽  
Yasin Yusup ◽  
Nurhadi Nurhadi

<em><span lang="EN-ID">Natural conditions and geographical situations in Indonesia show that natural disasters are very likely to occur. One of the natural disasters that occurred was an earthquake. The main factor in the occurrence of the earthquake which caused many losses was the lack of knowledge regarding the potential and community preparedness for the earthquake disaster. The purpose of this study was to determine the level of community preparedness in dealing with earthquake disasters. The method used is a qualitative method with sampling using a cluster random sampling of 75 respondents. Analysis of community preparedness uses scoring with the help of Geographic Information Systems on four parameters of preparedness, namely knowledge and attitudes, emergency response plans, disaster warning systems, and resource mobilization. The results of this study are Gangga District community preparedness is divided into two categories, namely the category of moderate preparedness and high preparedness. The category of preparedness is currently found in Bentek, Genggelang, and Rempek villages. Meanwhile, the category of high preparedness is found in Gondang village and Sambik Bangkol village. Considering that the Ganges District is an earthquake-prone area, it is expected that the government, family and community will be able to increase preparedness so that the community can live better in earthquake-prone areas.</span></em>


Author(s):  
Eleana Asimakopoulou ◽  
Chimay J Anumba ◽  
Dino Bouchlaghem

The emergency management community is working toward developments associated with the reduction of losses in lives, property and the environment caused by natural disasters. However, several limitations with the particular collaborative nature of current Information and Communication Technology (ICT) in use have been reported. In particular, how emergency management stakeholders within an ICT environment can bring together all their resources in a collaborative and timely manner so as to improve the effectiveness and efficiency of emergency response tasks. With this in mind, the authors describe the Grid-Aware Emergency Response Model (G-AERM) to make the best of functionality offered by emerging ICT to support intelligence in decision making toward a more effective and efficient emergency response management.


2017 ◽  
Vol 4 (1) ◽  
pp. 205510291771130 ◽  
Author(s):  
Juliet Roudini ◽  
Hamid Reza Khankeh ◽  
Evelin Witruk

The objective of this study was to perform a systematic review of articles that cover aspects of disaster mental health preparedness. This assessment was done by a thorough review and summary of the available studies which provided a considerable background and amplified the gaps in knowledge about community mental health preparedness. By this systematic review, we tried to identify available concept of community mental health preparedness and related tools that communities and individuals will need to prepare for natural disasters. We found there is a lack of mental health preparedness in the majority of countries; valid and reliable tools and context-bound programs should be developed based on the experiences and perceptions of the community.


PLoS Medicine ◽  
2011 ◽  
Vol 8 (8) ◽  
pp. e1001085 ◽  
Author(s):  
Peter W. Gething ◽  
Andrew J. Tatem

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