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Editorial Board Members’ Collection Series: Public Health during and after COVID-19 Pandemic

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 (13 April 2023) | Viewed by 3861

Special Issue Editors

Prof. Dr. Yibiao Zhou

E-Mail Website
Guest Editor
Department of Public Health, Fudan University, Shanghai 200032, China
Interests: oncomelania hupensis; schistosomiasis; epidemiology of parasitic diseases; AIDS epidemiology; spatial epidemiology
Prof. Dr. Jagdish Khubchandani

E-Mail Website
Guest Editor
Department of Public Health Sciences, New Mexico State University, Las Cruces, NM 88003, USA
Interests: epidemiology; violence; injury; trauma; social determinants
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue titled “Editorial Board Members’ Collection Series: Public Health during and after COVID-19 Pandemic”. This issue will be a collection of papers from researchers invited by the Editorial Board Members. The aim is to provide a venue for networking and communication between IJERPH and scholars in the field of infectious diseases. All papers will be fully open access upon publication after peer review.

Prof. Dr. Yibiao Zhou
Prof. Dr. Jagdish Khubchandani
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.

Keywords

  • infectious diseases epidemiology
  • diseases prevention and treatment
  • infection
  • emerging infectious diseases
  • immunization

Published Papers (2 papers)

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Research

15 pages, 3499 KiB  
Article
Global Distribution of Culex tritaeniorhynchus and Impact Factors
by Yixin Tong, Honglin Jiang, Ning Xu, Zhengzhong Wang, Ying Xiong, Jiangfan Yin, Junhui Huang, Yue Chen, Qingwu Jiang and Yibiao Zhou
Int. J. Environ. Res. Public Health 2023, 20(6), 4701; https://doi.org/10.3390/ijerph20064701 - 7 Mar 2023
Viewed by 1782
Abstract
Culex tritaeniorhynchus is the primary vector of Japanese encephalitis (JE) and has a wide global distribution. However, the current and future geographic distribution maps of Cx. tritaeniorhynchus in global are still incomplete. Our study aims to predict the potential distribution of Cx. tritaeniorhynchus [...] Read more.
Culex tritaeniorhynchus is the primary vector of Japanese encephalitis (JE) and has a wide global distribution. However, the current and future geographic distribution maps of Cx. tritaeniorhynchus in global are still incomplete. Our study aims to predict the potential distribution of Cx. tritaeniorhynchus in current and future conditions to provide a guideline for the formation and implementation of vector control strategies all over the world. We collected and screened the information on the occurrence of Cx. tritaeniorhynchus by searching the literature and online databases and used ten algorithms to investigate its global distribution and impact factors. Cx. tritaeniorhynchus had been detected in 41 countries from 5 continents. The final ensemble model (TSS = 0.864 and AUC = 0.982) indicated that human footprint was the most important factor for the occurrence of Cx. tritaeniorhynchus. The tropics and subtropics, including southeastern Asia, Central Africa, southeastern North America and eastern South America, showed high habitat suitability for Cx. tritaeniorhynchus. Cx. tritaeniorhynchus is predicted to have a wider distribution in all the continents, especially in Western Europe and South America in the future under two extreme emission scenarios (SSP5-8.5 and SSP1-2.6). Targeted strategies for the control and prevention of Cx. tritaeniorhynchus should be further strengthened. Full article
(This article belongs to the Special Issue Editorial Board Members’ Collection Series: Public Health during and after COVID-19 Pandemic)
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16 pages, 1605 KiB  
Article
Simulating and Forecasting the COVID-19 Spread in a U.S. Metropolitan Region with a Spatial SEIR Model
by Faizeh Hatami, Shi Chen, Rajib Paul and Jean-Claude Thill
Int. J. Environ. Res. Public Health 2022, 19(23), 15771; https://doi.org/10.3390/ijerph192315771 - 27 Nov 2022
Cited by 7 | Viewed by 1675
Abstract
The global COVID-19 pandemic has taken a heavy toll on health, social, and economic costs since the end of 2019. Predicting the spread of a pandemic is essential to developing effective intervention policies. Since the beginning of this pandemic, many models have been [...] Read more.
The global COVID-19 pandemic has taken a heavy toll on health, social, and economic costs since the end of 2019. Predicting the spread of a pandemic is essential to developing effective intervention policies. Since the beginning of this pandemic, many models have been developed to predict its pathways. However, the majority of these models assume homogeneous dynamics over the geographic space, while the pandemic exhibits substantial spatial heterogeneity. In addition, spatial interaction among territorial entities and variations in their magnitude impact the pandemic dynamics. In this study, we used a spatial extension of the SEIR-type epidemiological model to simulate and predict the 4-week number of COVID-19 cases in the Charlotte–Concord–Gastonia Metropolitan Statistical Area (MSA), USA. We incorporated a variety of covariates, including mobility, pharmaceutical, and non-pharmaceutical interventions, demographics, and weather data to improve the model’s predictive performance. We predicted the number of COVID-19 cases for up to four weeks in the 10 counties of the studied MSA simultaneously over the time period 29 March 2020 to 13 March 2021, and compared the results with the reported number of cases using the root-mean-squared error (RMSE) metric. Our results highlight the importance of spatial heterogeneity and spatial interactions among locations in COVID-19 pandemic modeling. Full article
(This article belongs to the Special Issue Editorial Board Members’ Collection Series: Public Health during and after COVID-19 Pandemic)
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