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Special Issue "Statistical Advances in Epidemiology and Public Health"

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 October 2019

Special Issue Editors

Guest Editor
Prof. Domenica Matranga

Department of Sciences for Health Promotion and Mother and Child Care, University of Palermo, Palermo, Italy
Website | E-Mail
Interests: statistical modeling; data envelopment analysis; congestion analysis; multilevel Modeling; Bayesian modelling; additive Bayesian networks; structural equation modeling; healthcare efficiency evaluation; socioeconomic health inequality; noncommunicable diseases; elderly; active aging
Guest Editor
Prof. Filippa Bono

Department of Economics, Business and Statistics (SEAS), University of Palermo, Palermo, Italy
Website | E-Mail
Interests: multidimensional analysis; data envelopment analysis; multilevel models; efficiency analysis; health inequality; concentration index; European Commission; socioeconomic inequality
Guest Editor
Mrs. Laura Maniscalco

Department of Biomedicine, Neuroscience and Advanced Diagnostics (BI.N.D.), University of Palermo, Palermo, Italy
Website | E-Mail
Interests: statistical modeling; additive Bayesian networks; logistic regression with Firth’s penalty; structural equation modeling; socioeconomic health inequality; noncommunicable diseases; elderly; active aging; social network; appropriatness of drugs and diagnostics exam prescriptions; mental disorders

Special Issue Information

Dear Colleagues,

Currently, the key role of statistical modeling in epidemiology and public health is unquestionable. The methods and tools of biostatistics are extensively used for understanding disease development, uncovering the etiology, and evaluating the development of new strategies of prevention and control of the disease. Through data analysis, epidemiology can steer decision-making processes, guiding health and healthcare policy and planning and assisting in the management and care of health and disease in individuals. The growing availability of large healthcare databases allows to draw new evidence in the use of healthcare interventions, drugs, devices, and in the knowledge of population health and health inequality. Digital technologies, the internet, and social media allow to gather information about the efficiency and quality of healthcare delivery process, in addition to patient satisfaction.

In recognition of the extent of statistical modeling in epidemiology and public health, the International Journal of Environmental Research and Public Health devotes this Special Issue to recent findings on “Statistical Advances in Epidemiology and Public Health”. A wide range of topics will be included in this issue. These are:

  • Healthcare efficiency evaluation;
  • Quality of care;
  • Persistence and adherence with chronic therapy;
  • Effectiveness of treatment;
  • Data envelopment analysis;
  • Congestion analysis;
  • Socioeconomic health inequality and inequity;
  • Using healthcare utilization databases;
  • Bayesian models in epidemiology;
  • Real World Data in healthcare and public health;
  • Big Data in epidemiology and public health.

You are invited to submit manuscripts for consideration in this Special Issue, which covers the aforementioned topics.

Prof. Domenica Matranga
Prof. Filippa Bono
Mrs. Laura Maniscalco
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 semimonthly 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 1800 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

  • Efficiency
  • Appropriateness
  • Persistence
  • Treatment adherence
  • Safety
  • Patient satisfaction
  • Quality of care
  • Healthcare utilization databases
  • Social media
  • Facebook
  • YouTube
  • Internet
  • Data envelopment analysis
  • Congestion analysis
  • Health inequality
  • Bayesian modeling
  • Additive Bayesian network

Published Papers (2 papers)

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Open AccessArticle
Does Community-Level Social Capital Predict Decline in Instrumental Activities of Daily Living? A JAGES Prospective Cohort Study
Int. J. Environ. Res. Public Health 2019, 16(5), 828; https://doi.org/10.3390/ijerph16050828
Received: 31 December 2018 / Revised: 1 March 2019 / Accepted: 2 March 2019 / Published: 7 March 2019
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Abstract
Instrumental activities of daily living (IADL) represent the most relevant action capacity in older people with regard to independent living. Previous studies have reported that there are geographical disparities in IADL decline. This study examined the associations between each element of community-level social [...] Read more.
Instrumental activities of daily living (IADL) represent the most relevant action capacity in older people with regard to independent living. Previous studies have reported that there are geographical disparities in IADL decline. This study examined the associations between each element of community-level social capital (SC) and IADL disability. This prospective cohort study conducted between 2010 and 2013 by the Japan Gerontological Evaluation Study (JAGES) surveyed 30,587 people aged 65 years or older without long-term care requirements in 380 communities throughout Japan. Multilevel logistic-regression analyses were used to determine whether association exists between community-level SC (i.e., civic participation, social cohesion, and reciprocity) and IADL disability, with adjustment for individual-level SC and covariates such as demographic variables, socioeconomic status, health status, and behavior. At three-year follow-up, 2886 respondents (9.4%) had suffered IADL disability. Residents in a community with higher civic participation showed significantly lower IADL disability (odds ratio: 0.90 per 1 standard deviation increase in civic participation score, 95% confidence interval: 0.84–0.96) after adjustment for covariates. Two other community-level SC elements showed no significant associations with IADL disability. Our findings suggest that community-based interventions to promote community-level civic participation could help prevent or reduce IADL disability in older people. Full article
(This article belongs to the Special Issue Statistical Advances in Epidemiology and Public Health)
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Open AccessArticle
Determinants and Differences of Township Hospital Efficiency among Chinese Provinces
Int. J. Environ. Res. Public Health 2019, 16(9), 1601; https://doi.org/10.3390/ijerph16091601
Received: 11 March 2019 / Revised: 25 April 2019 / Accepted: 29 April 2019 / Published: 7 May 2019
PDF Full-text (643 KB) | HTML Full-text | XML Full-text
Abstract
This study aimed to measure the efficiency and change in efficiency over time of township hospitals among Chinese provinces, to decompose the difference in efficiency between districts, and to study the correlations between the difference in efficiency and its determinants. Based on Chinese [...] Read more.
This study aimed to measure the efficiency and change in efficiency over time of township hospitals among Chinese provinces, to decompose the difference in efficiency between districts, and to study the correlations between the difference in efficiency and its determinants. Based on Chinese provincial panel data, the empirical analysis was established using data envelopment analysis (DEA), Malmquist index, Theil index decomposition method and Grey correlation analysis method. First, it was found that the township hospitals in most provinces were operating in an inefficient state, and the township hospitals in most provinces achieved gains in efficiency. Second, from 2003 to 2016 the shrinkage of the difference in provincial efficiency of township hospitals progressed slowly. Intra-regional difference is the main cause of the overall provincial efficiency difference of Chinese township hospitals, while inter-regional difference is the minor cause of the overall difference. Third, the correlation between the difference of overall provincial efficiency and the difference of economic development level is the highest among all the correlations, while other determinants rank second to seventh place in their degree of correlation with respect to the overall difference in provincial efficiency. Furthermore, the correlations between the intra-regional difference of provincial efficiency of Chinese township hospitals and its determinants vary tremendously across regions. Based on our findings, we can conclude, first, that efforts should be made to improve the overall provincial difference in efficiency of Chinese township hospitals, and enhance the utilization level of input resources, and to reduce resource waste. Second, in order to shrink the overall provincial efficiency of Chinese township hospitals, the most important measure that should be taken is to improve the economic development level in relatively backward provinces in order to lay a solid economic foundation for the improvement of efficiency and shrink the differences in efficiency between provinces. Third, more attention should be paid to the shrinkage of intra-regional efficiency differences in Chinese township hospitals, while the narrowing of inter-regional efficiency difference should not be ignored. For each region, it is necessary to recognize the difference in the relative importance of determinants, and to make development strategies according to local conditions so as to make full use of local characteristics and advantages. Full article
(This article belongs to the Special Issue Statistical Advances in Epidemiology and Public Health)
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Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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