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Special Issue "Health-Related Emergency Disaster Risk Management (Health-EDRM)"

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Health".

Deadline for manuscript submissions: 31 January 2019

Special Issue Editors

Guest Editor
Prof. Emily Ying Yang Chan

Assistant Dean, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
Website | E-Mail
Interests: health-emergency disaster risk management; climate change and health; humanitarian medicine; disaster case studies
Guest Editor
Dr. Holly Ching Yu Lam

JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
E-Mail
Interests: envionmental epidemiology; public health; climate change and health

Special Issue Information

Dear Colleagues,

Disaster such as earthquakes, cyclones, floods, heat waves, nuclear accidents, and large scale pollution incidents take lives and incur very learge health problems. The majority of large-scale disasters affect the most vulnerable populations, which are often comprised of extreme ages, remote living areas, endemic poverty, as well as people with low literacy. Health-related emergency disaster risk management (Health-EDRM) [1] refers to the systematic analysis and management of health risks surrounding emergencies and disasters, and plays an important role in reducing the hazards and vulnerability along with extending preparedness, response, and recovery measures. This concept encompasses risk analyses and interventions, such as accessible early warning systems, timely deployment of relief workers, provision suitable drugs, and medical equipment to decrease the impact of disaster on people before, during, and after an event(s). Currently, there is a major gap in the scientific literature regarding Health-EDRM to facilitate major global policies and initiatives for disaster risk reduction globally.

This Special Issue of IJERPH invites papers describing/reporting the latest disaster risks and health risk analyses, as well as interventions for health-related disaster risk management. Disaster risk profiling and interventions can be at the personal/household, community, and system/political levels, and can be targeted at specific health risks including respiratory issues caused by indoor burning, re-emergence of infectious disease due to low vaccination coverage, and gastrointestinal problems resulting from unregulated waste management. Research outcomes and findings of multi-disciplinary studies are highly encouraged to submit to this Special Issue.

Reference

[1] Chan, E.Y.Y.; Murray, V. What are the health research needs for the Sendai Framework? The Lancet 2017, 390, e35–e36. doi:10.1016/S0140-6736(17)31670-7.

Prof. Emily Ying Yang Chan
Dr. Holly Ching Yu Lam
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Health-related disaster risk management
  • Natural disasters
  • Intervention
  • Community resilience

Published Papers (5 papers)

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Research

Open AccessArticle Spatio-Temporal Distribution of Negative Emotions in New York City After a Natural Disaster as Seen in Social Media
Int. J. Environ. Res. Public Health 2018, 15(10), 2275; https://doi.org/10.3390/ijerph15102275
Received: 7 September 2018 / Revised: 5 October 2018 / Accepted: 12 October 2018 / Published: 17 October 2018
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Abstract
Disasters have substantial consequences for population mental health. We used Twitter to (1) extract negative emotions indicating discomfort in New York City (NYC) before, during, and after Superstorm Sandy in 2012. We further aimed to (2) identify whether pre- or peri-disaster discomfort were
[...] Read more.
Disasters have substantial consequences for population mental health. We used Twitter to (1) extract negative emotions indicating discomfort in New York City (NYC) before, during, and after Superstorm Sandy in 2012. We further aimed to (2) identify whether pre- or peri-disaster discomfort were associated with peri- or post-disaster discomfort, respectively, and to (3) assess geographic variation in discomfort across NYC census tracts over time. Our sample consisted of 1,018,140 geo-located tweets that were analyzed with an advanced sentiment analysis called ”Extracting the Meaning Of Terse Information in a Visualization of Emotion” (EMOTIVE). We calculated discomfort rates for 2137 NYC census tracts, applied spatial regimes regression to find associations of discomfort, and used Moran’s I for spatial cluster detection across NYC boroughs over time. We found increased discomfort, that is, bundled negative emotions after the storm as compared to during the storm. Furthermore, pre- and peri-disaster discomfort was positively associated with post-disaster discomfort; however, this association was different across boroughs, with significant associations only in Manhattan, the Bronx, and Queens. In addition, rates were most prominently spatially clustered in Staten Island lasting pre- to post-disaster. This is the first study that determined significant associations of negative emotional responses found in social media posts over space and time in the context of a natural disaster, which may guide us in identifying those areas and populations mostly in need for care. Full article
(This article belongs to the Special Issue Health-Related Emergency Disaster Risk Management (Health-EDRM))
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Open AccessArticle Reducing the Future Risk of Trauma: On the Integration of Global Disaster Policy within Specific Health Domains and Established Fields of Practice
Int. J. Environ. Res. Public Health 2018, 15(9), 1932; https://doi.org/10.3390/ijerph15091932
Received: 2 August 2018 / Revised: 23 August 2018 / Accepted: 3 September 2018 / Published: 5 September 2018
PDF Full-text (299 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
The global increase in the frequency and severity of natural hazards and extreme climatic events necessitates more efficient global and national strategies to reduce the likelihood and impact of traumatic consequences for disaster-affected populations. The recent inclusion of mental health in the Sendai
[...] Read more.
The global increase in the frequency and severity of natural hazards and extreme climatic events necessitates more efficient global and national strategies to reduce the likelihood and impact of traumatic consequences for disaster-affected populations. The recent inclusion of mental health in the Sendai Framework for Disaster Risk Reduction marks a pivotal point in the recognition of the significant burden of disasters on mental health, and a global commitment to reducing its impacts. Nevertheless, effective agreement implementation and efforts to reduce disaster mental health risks are facing significant challenges. These include a lack of clarity about the conceptual interlinkages and place of disaster risk reduction principles within the field of disaster mental health, which is traditionally marked by a prevailing recovery orientation, and the need for effective translation into disaster mental health policy and practice. Therefore, this study drew on data from interviews with European disaster mental health and risk reduction experts in order to appraise the merit and implications of a global disaster risk reduction policy for advancing population mental health in the context of disaster. Study findings outline existing opportunities, challenges, and key strategies for the integration of disaster risk reduction within disaster mental health policy and practice. Full article
(This article belongs to the Special Issue Health-Related Emergency Disaster Risk Management (Health-EDRM))
Open AccessArticle Transmission of Influenza A in a Student Office Based on Realistic Person-to-Person Contact and Surface Touch Behaviour
Int. J. Environ. Res. Public Health 2018, 15(8), 1699; https://doi.org/10.3390/ijerph15081699
Received: 2 June 2018 / Revised: 3 August 2018 / Accepted: 7 August 2018 / Published: 9 August 2018
PDF Full-text (4217 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Influenza A viruses result in the deaths of hundreds of thousands of individuals worldwide each year. In this study, influenza A transmission in a graduate student office is simulated via long-range airborne, fomite, and close contact routes based on real data from more
[...] Read more.
Influenza A viruses result in the deaths of hundreds of thousands of individuals worldwide each year. In this study, influenza A transmission in a graduate student office is simulated via long-range airborne, fomite, and close contact routes based on real data from more than 3500 person-to-person contacts and 127,000 surface touches obtained by video-camera. The long-range airborne, fomite and close contact routes contribute to 54.3%, 4.2% and 44.5% of influenza A infections, respectively. For the fomite route, 59.8%, 38.1% and 2.1% of viruses are transmitted to the hands of students from private surfaces around the infected students, the students themselves and other susceptible students, respectively. The intranasal dose via fomites of the students’ bodies, belongings, computers, desks, chairs and public facilities are 8.0%, 6.8%, 13.2%, 57.8%, 9.3% and 4.9%, respectively. The intranasal dose does not monotonously increase or decrease with the virus transfer rate between hands and surfaces. Mask wearing is much more useful than hand washing for control of influenza A in the tested office setting. Regular cleaning of high-touch surfaces, which can reduce the infection risk by 2.14%, is recommended and is much more efficient than hand-washing. Full article
(This article belongs to the Special Issue Health-Related Emergency Disaster Risk Management (Health-EDRM))
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Open AccessArticle Decision Analysis of Disturbance Management in the Process of Medical Supplies Transportation after Natural Disasters
Int. J. Environ. Res. Public Health 2018, 15(8), 1651; https://doi.org/10.3390/ijerph15081651
Received: 19 June 2018 / Revised: 19 July 2018 / Accepted: 31 July 2018 / Published: 3 August 2018
Cited by 1 | PDF Full-text (6331 KB) | HTML Full-text | XML Full-text
Abstract
Public health emergencies, such as casualties and epidemic spread caused by natural disasters, have become important factors that seriously affect social development. Special medical supplies, such as blood and vaccines, are important public health medical resources, and the cold-chain distribution of medical supplies
[...] Read more.
Public health emergencies, such as casualties and epidemic spread caused by natural disasters, have become important factors that seriously affect social development. Special medical supplies, such as blood and vaccines, are important public health medical resources, and the cold-chain distribution of medical supplies is in a highly unstable environment after a natural disaster that is easily affected by disturbance events. This paper innovatively studies the distribution optimization of medical supplies after natural disasters from the perspective of disturbance management. A disturbance management model for medical supplies distribution is established from two dimensions: time and cost. In addition, a hybrid genetic algorithm is introduced to solve the model. Disturbance recovery schemes with different weight coefficients are obtained through the actual numerical experiments, and experimental results show the effectiveness of the proposed model and algorithm. Finally, we discuss the formulation of weight coefficients in the case of emergency distribution and general distribution, which provide a reference for emergency decisions in disturbance events. Full article
(This article belongs to the Special Issue Health-Related Emergency Disaster Risk Management (Health-EDRM))
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Open AccessArticle Household Preparedness and Preferred Communication Channels in Public Health Emergencies: A Cross-Sectional Survey of Residents in an Asian Developed Urban City
Int. J. Environ. Res. Public Health 2018, 15(8), 1598; https://doi.org/10.3390/ijerph15081598
Received: 14 June 2018 / Revised: 5 July 2018 / Accepted: 14 July 2018 / Published: 27 July 2018
PDF Full-text (1974 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Disaster awareness and household preparedness are crucial for reducing the negative effects of a disaster. This study aims to examine the citizens’ preparedness level in the event of a general disaster or outbreak of infectious disease and to identify suitable channels for community
[...] Read more.
Disaster awareness and household preparedness are crucial for reducing the negative effects of a disaster. This study aims to examine the citizens’ preparedness level in the event of a general disaster or outbreak of infectious disease and to identify suitable channels for community disease surveillance and risk communication. We used a stratified random design to conduct a digit-dialed telephone survey in Hong Kong during February 2014. Level of disaster preparedness was examined according to the possession of disaster kit items. Associations between socio-demographic factors and good household preparedness were assessed using multiple logistic regression models. Preferences for infectious disease surveillance were collected and analyzed. There were 1020 respondents. Over half of the respondents (59.2%) had good household preparedness. After adjustment, female respondents, having higher education and higher household income were significantly associated with good household preparedness. Television and telephone were the preferred channels to obtain and report infectious disease information, respectively. In conclusion, general and specific infectious-disease household preparedness levels in Hong Kong were generally good. Tailored preparedness programs targeted to specific communities are necessary for those lacking preparedness. Risk communication and public health surveillance should be conducted through television and telephone, respectively. Full article
(This article belongs to the Special Issue Health-Related Emergency Disaster Risk Management (Health-EDRM))
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Spatio-Temporal Distribution of Negative Emotions in New York City after a Natural Disaster as Seen in Social Media
Authors: Oliver Gruebner 1,2,*, Sarah R. Lowe 3, Martin Sykora 4, Ketan Shankardass 5, SV Subramanian 6 and Sandro Galea 7
Affiliations: 1 University of Zurich, Epidemiology, Biostatistics, and Prevention Institute (EBPI), Zurich, Switzerland; 2 Humboldt-University Berlin, Department of Geography, Berlin, Germany; 3 Montclair State University, Department of Psychology, Montclair, NJ, USA; 4 Loughborough University, School of Business and Economics (SBE), Centre for Information Management (CIM), Loughborough, UK; 5 Wilfrid Laurier University, Department of Health Sciences, Waterloo, Ontario, Canada; 6 Harvard T.H. Chan School of Public Health, Department of Social and Behavioral Sciences, Boston, MA, USA; 7 Boston University, School of Public Health, Boston, MA, USA
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