Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.9
2.8
Journals
TropicalMed
Special Issues
Climate Change and Environmental Epidemiology of Infectious Diseases
share announcement

Climate Change and Environmental Epidemiology of Infectious Diseases

A special issue of Tropical Medicine and Infectious Disease (ISSN 2414-6366). This special issue belongs to the section "Infectious Diseases".

Deadline for manuscript submissions: 29 August 2025 | Viewed by 5173

Special Issue Editors

Dr. Jianjun Xiang

E-Mail Website
Guest Editor
Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
Interests: climate change; heatwave; infectious disease; environmental health; occupational health
Dr. Matthew A. Borg

E-Mail
Guest Editor
School of Public Health, University of Adelaide, 57 North Terrace, Adelaide, SA 5000, Australia
Interests: heat-related health impacts; public health; occupational health; climate change; nephrology; oncology; clinical trials
Dr. Michael Tong

E-Mail Website
Guest Editor
National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT 2601, Australia
Interests: climate change; environmental health; extreme weather events; heat; bushfires; vulnerable populations; health policy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite authors to contribute to our Special Issue on "Climate Change and Environmental Epidemiology of Infectious Diseases", which aims to provide a comprehensive exploration of the intricate relationship between climate change and infectious diseases.

Authors are encouraged to contribute research that sheds light on the current challenges posed by the intersection of climate change and infectious diseases. Emphasizing the urgency of the matter, the scope includes (but is not limited to) studies addressing health risk assessment and burden of climate-sensitive infectious diseases, big data-based early warming and projection, interactive effects between meteorological factors and other environmental factors, such as air pollutants and green space, on infectious diseases, new methods and technologies in infectious disease monitoring (e.g., wastewater-based epidemiology), and public health interventions.

The flexible submission timeline accommodates contributors' availability. Scholars are invited to contribute their research to collectively advance our understanding of the intricate relationship between climate change, environmental epidemiology, and infectious diseases.

Dr. Jianjun Xiang
Dr. Matthew A. Borg
Dr. Michael Tong
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. Tropical Medicine and Infectious Disease 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 2700 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

  • climate change
  • environmental epidemiology
  • infectious diseases
  • epidemiological research
  • global health
  • climate-sensitive diseases
  • population health
  • wastewater-based epidemiology

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

31 pages, 9916 KiB  
Article
Leveraging Climate Data for Dengue Forecasting in Ba Ria Vung Tau Province, Vietnam: An Advanced Machine Learning Approach
by Dang Anh Tuan and Tran Ngoc Dang
Trop. Med. Infect. Dis. 2024, 9(10), 250; https://doi.org/10.3390/tropicalmed9100250 - 21 Oct 2024
Cited by 2 | Viewed by 2480
Abstract
Dengue fever is a persistent public health issue in tropical regions, including Vietnam, where climate variability plays a crucial role in disease transmission dynamics. This study focuses on developing climate-based machine learning models to forecast dengue outbreaks in Ba Ria Vung Tau (BRVT) [...] Read more.
Dengue fever is a persistent public health issue in tropical regions, including Vietnam, where climate variability plays a crucial role in disease transmission dynamics. This study focuses on developing climate-based machine learning models to forecast dengue outbreaks in Ba Ria Vung Tau (BRVT) province, Vietnam, using meteorological data from 2003 to 2022. We utilized four predictive models—Negative Binomial Regression (NBR), Seasonal AutoRegressive Integrated Moving Average with Exogenous Regressors (SARIMAX), Extreme Gradient Boosting (XGBoost) v2.0.3, and long short-term memory (LSTM)—to predict weekly dengue incidence. Key climate variables, including temperature, humidity, precipitation, and wind speed, were integrated into these models, with lagged variables included to capture delayed climatic effects on dengue transmission. The NBR model demonstrated the best performance in terms of predictive accuracy, achieving the lowest Mean Absolute Error (MAE), compared to other models. The inclusion of lagged climate variables significantly enhanced the model’s ability to predict dengue cases. Although effective in capturing seasonal trends, SARIMAX and LSTM models struggled with overfitting and failed to accurately predict short-term outbreaks. XGBoost exhibited moderate predictive power but was sensitive to overfitting, particularly without fine-tuning. Our findings confirm that climate-based machine learning models, particularly the NBR model, offer valuable tools for forecasting dengue outbreaks in BRVT. However, improving the models’ ability to predict short-term peaks remains a challenge. The integration of meteorological data into early warning systems is crucial for public health authorities to plan timely and effective interventions. This research contributes to the growing body of literature on climate-based disease forecasting and underscores the need for further model refinement to address the complexities of dengue transmission in highly endemic regions. Full article
(This article belongs to the Special Issue Climate Change and Environmental Epidemiology of Infectious Diseases)
►▼ Show Figures

Figure 1

13 pages, 3037 KiB  
Article
Epidemiological Characteristics of Overseas-Imported Infectious Diseases Identified through Airport Health-Screening Measures: A Case Study on Fuzhou, China
by Hong Li, Yan Yang, Jiake Chen, Qingyu Li, Yifeng Chen, Yilin Zhang, Shaojian Cai, Meirong Zhan, Chuancheng Wu, Xinwu Lin and Jianjun Xiang
Trop. Med. Infect. Dis. 2024, 9(6), 138; https://doi.org/10.3390/tropicalmed9060138 - 20 Jun 2024
Cited by 1 | Viewed by 1805
Abstract
Background: This study aimed to examine the epidemiological characteristics of imported infections and assess the effectiveness of border health screening in detecting imported diseases. Methods: We obtained infection data for 2016 to 2019 from the Fuzhou Changle International Airport Infection Reporting System. The [...] Read more.
Background: This study aimed to examine the epidemiological characteristics of imported infections and assess the effectiveness of border health screening in detecting imported diseases. Methods: We obtained infection data for 2016 to 2019 from the Fuzhou Changle International Airport Infection Reporting System. The demographic, temporal, and spatial characteristics of travel-related infections were analyzed using r×c contingency tables, the Cochran–Armitage trend test, and seasonal-trend decomposition using LOESS (STL). Detection rates were used as a proxy for the effectiveness of border health-screening measures. Results: Overall, 559 travel-related infections were identified during the study period, with 94.3% being imported infections. Airport health screening demonstrated an overall effectiveness of 23.7% in identifying travel-associated infections. Imported infections were predominantly identified in males, with 55.8% of cases occurring in individuals aged 20–49. The peak periods of infection importation were from January to February and from May to August. The infectious diseases identified were imported from 25 different countries and regions. All dengue fever cases were imported from Southeast Asia. Most notifiable infections (76.0%) were identified through fever screening at the airport. Conclusion: The increasing number of imported infections poses a growing challenge for public health systems. Multifaceted efforts including surveillance, vaccination, international collaboration, and public awareness are required to mitigate the importation and spread of infectious diseases from overseas sources. Full article
(This article belongs to the Special Issue Climate Change and Environmental Epidemiology of Infectious Diseases)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop