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Second Edition: Advances in Spatial Epidemiology of COVID-19

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

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 1801

Special Issue Editor


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Guest Editor
Department of Public Health and Prevention Sciences, School of Health Sciences, Baldwin Wallace University, Berea, OH 44017, USA
Interests: machine learning in public health; spatial statistics; geographic information systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

The ongoing COVID-19 pandemic, caused by the SARS-CoV-2 virus, has adversely affected over 191 countries and territories. Understanding the spatial and space–time patterns and determining the factors that can explain/predict COVID-19 epidemiology can help public health decision-makers to better monitor and control disease outbreaks. This Special Issue of the International Journal of Environmental and Public Health Research will highlight the current and emerging spatial, space–time, mathematical, and bioinformatic techniques for addressing COVID-19 epidemiology for targeted interventions. Researchers are encouraged to present their insights into this issue by submitting high-quality reviews or novel research articles relevant to this topic. We highly encourage the submission of interdisciplinary work, particularly from the pandemic epicenters.

Dr. Abolfazl Mollalo
Guest Editor

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

  • COVID-19/vaccination/disparities
  • spatial analysis/GIS/disease mapping
  • spatial and spatio-temporal modeling
  • spatial statistics/data mining
  • artificial intelligence/machine learning
  • artificial neural networks/deep learning/big data
  • time-series analysis
  • spatial epidemiology

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Published Papers (1 paper)

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Research

16 pages, 4231 KiB  
Article
Determination of Population Mobility Dynamics in Popayán-Colombia during the COVID-19 Pandemic Using Open Datasets
by Andrés Felipe Solis Pino, Ginna Andrea Ramirez Palechor, Yesid Ediver Anacona Mopan, Victoria E. Patiño-Arenas, Pablo H. Ruiz, Vanessa Agredo-Delgado and Alicia Mon
Int. J. Environ. Res. Public Health 2022, 19(22), 14814; https://doi.org/10.3390/ijerph192214814 - 10 Nov 2022
Cited by 3 | Viewed by 1454
Abstract
The COVID-19 pandemic is a catastrophic event that marked the history of humanity. The virus’s transmissibility has primarily prevented the control of the pandemic, so it has become vital to determine and control the dynamics of the population mobility to reduce the epidemiological [...] Read more.
The COVID-19 pandemic is a catastrophic event that marked the history of humanity. The virus’s transmissibility has primarily prevented the control of the pandemic, so it has become vital to determine and control the dynamics of the population mobility to reduce the epidemiological impact. Considering the above, this paper uses an exposure indicator based on the movement ranges provided by Facebook to determine the dynamics of population mobility in Popayán city for the period after the appearance of COVID-19. Using statistical analysis techniques, it then contrasts the data obtained with the public circulation reports provided by Google and Apple. The results suggest that the exposure indicator is reliable and presents moderate to strong linear relationships for the public data, which implies that it can be an additional resource for decision-making to curb the spread of the virus. Full article
(This article belongs to the Special Issue Second Edition: Advances in Spatial Epidemiology of COVID-19)
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