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Special Issue "A New Era of COVID-19 Research: Reviews, Meta-Analysis, and Critical Point of View"

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

Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 1401

Special Issue Editor

Postgraduate Program in Health Sciences, Universidade São Francisco, Bragança Paulista, São Paulo 12916-220, Brazil
Interests: coronavirus disease; global health; pandemic; politic; public health; RT-PCR; SARS-CoV-2
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The coronavirus disease (COVID)-19 pandemic was associated with a “paper pandemic”, with the fast dissemination of information in peer-reviewed journals or open-science sites. Now, after more than two years since the first cases of the infection with the new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), we have thousands of published papers studying different aspects related to the disease. In this context, this Special Issue aims to compile scientific information to better understand the past, present, and future of COVID-19 among those affected by the infection or at risk of infection. We invite the submission of studies covering the following topics: i) diagnosis and screening; ii) epidemiology, mainly relating to the risk populations associated with SARS-CoV-2; iii) vaccination status and progress against SARS-CoV-2; iv) biomarker analysis to identify risk populations, as well as the risk for severe prognosis; v) evaluation of medical treatments used during the COVID-19 pandemic; vi) evaluation of clinical trials to test new therapies to treat patients affected by COVID-19; vii) political issues associated with COVID-19 in different world scenarios (e.g., screening and vaccination availability based on political science and government information); viii) exam images to screen those without easy access to better diagnostic tools (e.g., real-time polymerase chain reaction); ix) rare clinical presentations of COVID-19, as well as a clinical picture from those with COVID-19 and other rare comorbidities (e.g., genetic syndromes); and x) analysis of the scientific production during the COVID-19 pandemic. Firstly, we invite the submission of meta-analyses concerning the described topics or narrative/systematic reviews when it was impossible to perform meta-analysis. In addition, studies associated with a critical point of view, mainly about the political issues associated with the COVID-19 pandemic, by specialists in this study area are welcome. We plan to publish papers that will contribute to understanding COVID-19 as a whole, mainly regarding the future of the disease and possible new pandemics.

Prof. Dr. Fernando Augusto Lima Marson
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 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 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.


  • coronavirus disease
  • infection
  • meta-analysis
  • pandemic
  • review

Published Papers (1 paper)

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COVID-19 Patterns in Araraquara, Brazil: A Multimodal Analysis
Int. J. Environ. Res. Public Health 2023, 20(6), 4740; https://doi.org/10.3390/ijerph20064740 - 08 Mar 2023
Cited by 2 | Viewed by 1081
The epidemiology of COVID-19 presented major shifts during the pandemic period. Factors such as the most common symptoms and severity of infection, the circulation of different variants, the preparedness of health services, and control efforts based on pharmaceutical and non-pharmaceutical interventions played important [...] Read more.
The epidemiology of COVID-19 presented major shifts during the pandemic period. Factors such as the most common symptoms and severity of infection, the circulation of different variants, the preparedness of health services, and control efforts based on pharmaceutical and non-pharmaceutical interventions played important roles in the disease incidence. The constant evolution and changes require the continuous mapping and assessing of epidemiological features based on time-series forecasting. Nonetheless, it is necessary to identify the events, patterns, and actions that were potential factors that affected daily COVID-19 cases. In this work, we analyzed several databases, including information on social mobility, epidemiological reports, and mass population testing, to identify patterns of reported cases and events that may indicate changes in COVID-19 behavior in the city of Araraquara, Brazil. In our analysis, we used a mathematical approach with the fast Fourier transform (FFT) to map possible events and machine learning model approaches such as Seasonal Auto-regressive Integrated Moving Average (ARIMA) and neural networks (NNs) for data interpretation and temporal prospecting. Our results showed a root-mean-square error (RMSE) of about 5 (more precisely, a 4.55 error over 71 cases for 20 March 2021 and a 5.57 error over 106 cases for 3 June 2021). These results demonstrated that FFT is a useful tool for supporting the development of the best prevention and control measures for COVID-19. Full article
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