Tracking Infectious Diseases, 2nd Edition
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: closed (15 August 2025) | Viewed by 269
Special Issue Editor
Special Issue Information
Dear Colleagues,
Understanding the epidemiology, transmission patterns, and spatio-temporal spread of the emerging and re-emerging infectious diseases such as COVID-19, Ebola, dengue virus, and influenza, etc., is very important to infer the disease containment and mitigation measures. When disease epidemics and pandemics are unprecedented, such as the COVID-19 pandemic in 2020, big data and quantitative methods utilizing advanced computational, mathematical, and statistical modeling approaches are sought after to improve the understanding of the complex disease epidemiology, pandemic progression, and pandemic control measures. With the advancement in technology and surveillance systems in the healthcare industry, technological integration allows for big data technologies to be employed for analyzing and understanding the diseases of rapid dissemination.
This Special Issue on “Tracking Infectious Diseases, 2nd Edition” aims to focus on developing, utilizing, implementing, and comparing quantitative methodologies (e.g., statistical and mathematical modeling, machine learning and deep learning algorithms, geospatial informatics, sentiment analytics, mobility data, etc.) to understand the pathways of disease dissemination, be able to infer the transmission dynamics of infectious diseases in spatial-temporal scales, and forecast diseases to inform disease control strategies and public health responses. Scientists should be able to apply these methods within ethical feasibility to identify the disease risk with the goal of building a scientific understanding of disease spread and control that provides insights for strengthening disease surveillance and diagnostic systems and building early warning systems for emerging and re-emerging infectious diseases, especially in the rapidly changing climatic conditions.
We encourage the submission of original research in the form of innovative, rigorous, and unconventional applications of methodological, technological, administrative, or ethical perspectives on tracking infectious diseases, for example, data analytics in outbreak detection and disease control, developing new algorithms and forecasting methodologies for predicting epidemic progression, artificial intelligence of things (AIoT) in disease surveillance, environmental exposure assessment, the impact of extreme weather events on disease transmission, and best practices in disease tracking.
Dr. Amna Tariq
Guest Editor
Manuscript Submission Information
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Keywords
- computational and mathematical modeling
- statistical technique
- emerging infectious diseases
- big data
- spatiotemporal spread
- transmission dynamics
- disease forecasting
- extreme weather events
- disease surveillance
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Related Special Issue
- Tracking Infectious Diseases in Tropical Medicine and Infectious Disease (9 articles)
