Special Issue "Chronic Disease Epidemiology: Advances in Research and Methods"
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Behavior, Chronic Disease and Health Promotion".
Deadline for manuscript submissions: 31 December 2021.
Interests: chronic disease epidemiology; occupational epidemiology; spatial epidemiology; rare and orphan diseases
Globally, chronic diseases such as cancer, heart diseases, respiratory diseases, and diabetes are rising. This trend has strained healthcare resources in both resource-rich and resource-poor countries. The control of infectious diseases through public health and medical interventions has increased life expectancy in most countries. However, most middle-to-low-income countries experience a poor quality of life. In high-income countries such as the U.S., life expectancy has been stagnant for the past several years. According to the Global Burden of Disease report, a sharp increase in obesity in adults might be fueling the rise in diabetes and heart disease globally. In the older age group, 63% of the global burden of respiratory diseases such as chronic obstructive pulmonary disease (COPD) and lung cancer are shared by low-to-middle income countries, likely due to exposure to indoor and outdoor air pollution. The coronavirus disease 2019 (Covid-19) global pandemic has affected disproportionally those with underlying chronic health conditions (comorbidities). It is still unknown what the long-term health consequences might be for those who recovered from the Covid-19 infection or had an asymptomatic infection.
For this Special Issue, we welcome original articles and reviews on epidemiological research and/or methods focusing on chronic diseases. Research articles based on primary or secondary data focusing on social determinants of health, access to care, interventions, longitudinal studies, and risk factors of chronic diseases are encouraged. This Special Issue will also consider articles on the impact of chronic health conditions on Covid-19 severity. Epidemiological methods based on spatiotemporal analyses, Bayesian methods, multilevel modeling, time series analysis, or causal inference using theoretical or empirical approaches are also of interest. Research-to-practice articles highlighting the successful implementation of evidence-based research will also be considered.
Prof. Dr. Ahmed A. Arif
Dr. Rajib Paul
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 2300 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.
- chronic disease epidemiology
- heart disease
- social determinants of health
- access to care
- epidemiologic methods
- spatiotemporal analysis
- Bayesian methods
- multilevel modeling
- time series analysis
- evidence-based research
- Covid-19 severity