New Advances of Infectious Disease Epidemiology
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Epidemiology & Public Health".
Deadline for manuscript submissions: 15 June 2026
Special Issue Editor
2. Navarra Medical Research Institute (IdiSNA), Pamplona, Spain
3. Center for Biomedical Research Network Epidemiology and Public Health (CIBERESP), Madrid, Spain
4. Department of Health Sciences, Public University of Navarra, Pamplona, Spain
Interests: epidemiology; preventive medicine; public health; methodology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Infectious disease epidemiology is transforming, driven by breakthroughs in genomics, computational modeling, and artificial intelligence, as well as the pressing lessons of the COVID-19 pandemic. The Pandemic exposed critical gaps in global surveillance systems while simultaneously accelerating the development of real-time analytics, digital diagnostics, and collaborative, cross-sectoral response frameworks. These advances are generating new insights into the epidemiology of infectious and emerging diseases, revealing previously unrecognized transmission pathways, reservoirs, and drivers of outbreaks. Today, researchers harness diverse data streams—from pathogen whole-genome sequences and mobility patterns to socioeconomic and environmental indicators—to refine outbreak detection, quantify transmission dynamics, and evaluate the effectiveness of interventions. At the same time, One Health approaches emphasize the interconnection of human, animal, and ecosystem health, necessitating integrated strategies that span multiple disciplines and geographies.
This Special Issue, "New Advances of Infectious Disease Epidemiology," aims to highlight the latest methodological and technological innovations in our ability to monitor, model, and mitigate emerging and re-emerging threats. We welcome original research, reviews, and case studies that advance outbreak intelligence, risk factor analysis, genomic and digital epidemiology, and equitable data sharing. This Special Issue aims to catalyze a more adaptive and resilient architecture for epidemic preparedness and response worldwide, fostering dialogue among epidemiologists, data scientists, public health professionals, and policymakers.
Prof. Dr. Francisco Guillen-Grima
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. Journal of Clinical Medicine 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 2600 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 disease epidemiology
- genomic sequencing
- computational modeling
- collaborative surveillance
- digital epidemiology
- one health
- pandemic intelligence
- public health data integration
- emerging pathogens
- epidemiologic insights
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