Dear Colleagues,

Spatiotemporal mismatch in the resolution/scale and misalignment of environment and health datasets has been a major challenge for conducting epidemiological analyses of the health effects of environment, climate, and extreme weather. Because resolving spatiotemporal misalignment and the resolution of these datasets often result in “exposure uncertainty” and/or “exposure misclassification”, failing to account for such exposure uncertainty and misclassification can result in biased (health) risk estimates. Therefore, addressing environmental exposure uncertainty and misclassification to quantify environmental disease burden is critically important for guiding policies to protect public health from environmental insults. Volume 2 of this Special Issue invites manuscripts detailing scholarly work toward addressing methodological as well as application areas for empirical spatiotemporal modeling of the health effects of environmental exposure, extreme weather, or novel statistical approaches for capturing and quantifying precise exposure. Example methodological and application focus areas of the issues are below:

Methodology

• Efficacy of different empirical methods to quantify time–space varying and/or spatiotemporal lagged exposures of any of the environmental conditions
• Methodology for estimating uncertainty in exposure assessment and/or exposure misclassification
• Methodology for estimating health risk uncertainty with respect to exposure uncertainty
• Methods of resolving spatiotemporal scales of environmental data to match with the spatiotemporal scales of health datasets
• Methods of improving health risk estimates adjusting for exposure uncertainty and/or errors and/or misclassification
• Optimizing time, space, and spatiotemporal lagged exposure computation
• Optimizing methods of contextualizing environmental and health datasets
• Hybrid approaches to quantify time–space lagged precise exposure estimations
• Optimizing approaches to handle large spatiotemporal datasets in environmental epidemiological studies

Applications

• Quantitative analysis of any health outcome(s) with respect to spatiotemporal exposure to any environmental conditions using at least two different methods/approaches of exposure assessment
• Comparison of the risk assessment using personal versus population exposure, i.e., comparison of aggregated versus disaggregated environment and health datasets
• Health effects of hierarchical spatiotemporal environmental exposure, e.g., hospital admission due to COPD (chronic obstructive pulmonary disease) due to daily lagged air pollution exposure and seasonal meteorological conditions
• Application of portable and/or mobile sensors to compute precise air pollution exposure and its associated health effects
• Optimizing indoor exposure using outdoor data or vice versa

Dr. Naresh Kumar
Dr. Dong Liang
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.

• Environmental health
• Time–space modeling
• Exposure uncertainty
• Spatiotemporal autocorrelation
• Spatiotemporal covariance
• Spatiotemporal scales
• Time–space lagged environmental exposure
• Hierarchical time–space variance
• Optimal methods of quantifying exposure
• Hybrid approaches to improve location–time-specific exposure
• Improving methodologies to improve personal exposure