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Health and Spatial Relations for the Population with Special Needs

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

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 6495

Special Issue Editors


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Guest Editor
Department of Public Health, Tzu Chi University, Hualien City 97004, Taiwan
Interests: health policy; health inequality of people with disability; measurement of activity and participation function; health welfare resource distribution; health promotion for people with special needs
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Nature Resources and Environmental Studies, National Dong Hwa, University, Shoufeng, Hualien 974301, Taiwan
Interests: geographic information systems (GIS); statistical analysis of geographic information; community hazard mapping; spatial decision support systems; public health information systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The best way to promote and protect the health and safety of the population with special needs is via the use of real justice and equality national policy. People with special needs include not only vulnerable groups—like people with disabilities, elders, indigenous people, and pregnant women—but also the stakeholders of special events, like residents who live in natural hazard potential areas or the overdeveloped/underdeveloped areas and the accurate measurement indicators of health equality and resources allocation development, etc. The justice and equality national policies urgently need more rigorous and transparent empirical data and evaluation information.

There is evidence that the health problems reflected by regional differences imply the distribution of harmful substances, such as the socio-economic status, education level, health resource allocation, behavioural use, and pollution spread of various populations. Therefore, more accurate measurement is needed to provide better strategies to solve the health disparity caused by social factors. On the other hand, most of the disasters, potential damages or losses caused by natural changes in the environment to humans and their residential communities are largely related to human activities. The disasters involve social development, technology and political aspects, so the relationship lies between related issues. The health and safety of the stakeholders and the priority of policy considerations are issues worthy of in-depth discussion.

The keywords listed below provide an outline of some of the possible areas of interest.

Prof. Dr. Chia-Feng Yen
Dr. Shyang-Woei Lin
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 submissions that pass pre-check are 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 2500 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 disparity
  • health equality indicators
  • natural hazard potential areas
  • nature disasters
  • population with special needs
  • resources allocation justices
  • resources allocation indicators

Published Papers (2 papers)

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Research

12 pages, 3233 KiB  
Article
Spatial Analysis on Supply and Demand of Adult Surgical Masks in Taipei Metropolitan Areas in the Early Phase of the COVID-19 Pandemic
by Chien-Chou Chen, Guo-Jun Lo and Ta-Chien Chan
Int. J. Environ. Res. Public Health 2022, 19(11), 6704; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph19116704 - 31 May 2022
Cited by 1 | Viewed by 1511
Abstract
This study aimed to assess the gap between the supply and demand of adult surgical masks under limited resources. Owing to the implementation of the real-name mask rationing system, the historical inventory data of aggregated mask consumption in a pharmacy during the early [...] Read more.
This study aimed to assess the gap between the supply and demand of adult surgical masks under limited resources. Owing to the implementation of the real-name mask rationing system, the historical inventory data of aggregated mask consumption in a pharmacy during the early period of the COVID-19 outbreak (April and May 2020) in Taiwan were analyzed for supply-side analysis. We applied the Voronoi diagram and areal interpolation methods to delineate the average supply of customer counts from a pharmacy to a village (administrative level). On the other hand, the expected number of demand counts was estimated from the population data. The relative risk (RR) of supply, which is the average number of adults served per day divided by the expected number in a village, was modeled under a Bayesian hierarchical framework, including Poisson, negative binomial, Poisson spatial, and negative binomial spatial models. We observed that the number of pharmacies in a village is associated with an increasing supply, whereas the median annual per capita income of the village has an inverse relationship. Regarding land use percentages, percentages of the residential and the mixed areas in a village are negatively associated, while the school area percentage is positively associated with the supply in the Poisson spatial model. The corresponding uncertainty measurement: villages where the probability exceeds the risk of undersupply, that is, Pr (RR < 1), were also identified. The findings of the study may help health authorities to evaluate the spatial allocation of anti-epidemic resources, such as masks and rapid test kits, in small areas while identifying priority areas with the suspicion of undersupply in the beginning stages of outbreaks. Full article
(This article belongs to the Special Issue Health and Spatial Relations for the Population with Special Needs)
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24 pages, 5777 KiB  
Article
Disparities in Healthcare Services and Spatial Assessments of Mobile Health Clinics in the Border Regions of Thailand
by Hiranya Sritart, Kuson Tuntiwong, Hiroyuki Miyazaki and Somchat Taertulakarn
Int. J. Environ. Res. Public Health 2021, 18(20), 10782; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph182010782 - 14 Oct 2021
Cited by 7 | Viewed by 4391
Abstract
Reducing the disparities in healthcare access is one of the important goals in healthcare services and is significant for national health. However, measuring the complexity of access in truly underserved areas is the critical step in designing and implementing healthcare policy to improve [...] Read more.
Reducing the disparities in healthcare access is one of the important goals in healthcare services and is significant for national health. However, measuring the complexity of access in truly underserved areas is the critical step in designing and implementing healthcare policy to improve those services and to provide additional support. Even though there are methods and tools for modeling healthcare accessibility, the context of data is challenging to interpret at the local level for targeted program implementation due to its complexity. Therefore, the purpose of this study is to develop a concise and context-specific methodology for assessing disparities for a remote province in Thailand to assist in the development and expansion of the efficient use of additional mobile health clinics. We applied the geographic information system (GIS) methodology with the travel time-based approach to visualize and analyze the concealed information of spatial data in the finer analysis resolution of the study area, which was located in the border region of the country, Ubon Ratchathani, to identify the regional differences in healthcare allocation. Our results highlight the significantly inadequate level of accessibility to healthcare services in the regions. We found that over 253,000 of the population lived more than half an hour away from a hospital. Moreover, the relationships of the vulnerable residents and underserved regions across the province are underlined in the study and substantially discussed in terms of expansion of mobile health delivery to embrace the barrier of travel duration to reach healthcare facilities. Accordingly, this research study addresses regional disparities and provides valuable references for governmental authorities and health planners in healthcare strategy design and intervention to minimize the inequalities in healthcare services. Full article
(This article belongs to the Special Issue Health and Spatial Relations for the Population with Special Needs)
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