Epidemics
Overview
Epidemics is a peer-reviewed journal dedicated to the study of infectious diseases and their impact on human populations. It provides a platform for researchers and practitioners to share their findings, insights, and strategies for preventing, controlling, and managing epidemics. The journal covers a wide range of topics, including epidemiology, disease surveillance, outbreak investigations, mathematical modeling, public health interventions, and the social, economic, and cultural aspects of epidemics. With its interdisciplinary approach, Epidemics aims to advance our understanding of infecti
Details
Details
Abbr.
Epidemics
Publisher
Elsevier
Start
2009
End
Continuing
Frequency
Quarterly
p-ISSN
1755-4365
e-ISSN
1878-0067
Country
Netherlands
Language
English
Specialties
Public Health
Infectious Diseases
Infectious Diseases
Metrics
Metrics
h-index / Ranks: 6943
53
SJR / Ranks: 4306
927
CiteScore / Ranks: 3323
6.50
JIF / Ranks: 2461
3.8
Recent Articles
1.
Meyer A, Lu F, Clemente L, Santillana M
Epidemics
. 2025 Feb;
50:100816.
PMID: 39985955
Accurate, real-time forecasts of influenza hospitalizations would facilitate prospective resource allocation and public health preparedness. State-of-the-art machine learning methods are a promising approach to produce such forecasts, but they require...
2.
Fiandrino S, Bizzotto A, Guzzetta G, Merler S, Baldo F, Valdano E, et al.
Epidemics
. 2025 Feb;
50:100819.
PMID: 39965358
Collaborative hubs that integrate multiple teams to generate ensemble projections and forecasts for shared targets are now regarded as state-of-the-art in epidemic predictive modeling. In this paper, we introduce Influcast,...
3.
Cascante Vega J, Yaari R, Robin T, Wen L, Zucker J, Uhlemann A, et al.
Epidemics
. 2025 Feb;
50:100817.
PMID: 39946776
Pathogenic bacteria are a major threat to patient health in hospitals. Here we leverage electronic health records from a major New York City hospital system collected during 2020-2021 to support...
4.
Petrie J, Hay J, Srimokla O, Panovska-Griffiths J, Whittaker C, Masel J
Epidemics
. 2025 Feb;
50:100812.
PMID: 39922066
Mass testing to identify and isolate infected individuals is a promising approach for reducing harm from the next acute respiratory virus pandemic. It offers the prospect of averting hospitalizations and...
5.
Perini M, Yamana T, Galanti M, Suh J, Kaondera-Shava R, Shaman J
Epidemics
. 2025 Feb;
50:100818.
PMID: 39892000
Background: Understanding the dynamics of infectious disease spread and predicting clinical outcomes are critical for managing large-scale epidemics and pandemics, such as COVID-19. Effective modeling of disease transmission in interconnected...
6.
Chan L, Morris S, Stockwell M, Bowman N, Asturias E, Rao S, et al.
Epidemics
. 2025 Jan;
50:100815.
PMID: 39864299
The generation time, representing the interval between infections in primary and secondary cases, is essential for understanding and predicting the transmission dynamics of seasonal influenza, including the real-time effective reproduction...
7.
Chen S, Flegg J, Lythgoe K, White L
Epidemics
. 2025 Jan;
50:100814.
PMID: 39827808
Accurate measurement of exposure to SARS-CoV-2 in the population is crucial for understanding the dynamics of disease transmission and evaluating the impacts of interventions. However, it was particularly challenging to...
8.
Ziegler E, Matthes K, Middelkamp P, Schuenemann V, Althaus C, Ruhli F, et al.
Epidemics
. 2025 Jan;
50:100813.
PMID: 39824007
Background: Our study aims to enhance future pandemic preparedness by integrating lessons from historical pandemics, focusing on the multidimensional analysis of past outbreaks. It addresses the gap in existing modelling...
9.
Ray E, Wang Y, Wolfinger R, Reich N
Epidemics
. 2025 Jan;
50:100810.
PMID: 39818098
Over the last ten years, the US Centers for Disease Control and Prevention (CDC) has organized an annual influenza forecasting challenge with the motivation that accurate probabilistic forecasts could improve...
10.
Ravuri S, Burnor E, Routledge I, Linton N, Thakur M, Boehm A, et al.
Epidemics
. 2024 Dec;
50:100803.
PMID: 39729960
The effective reproduction number serves as a metric of population-wide, time-varying disease spread. During the early years of the COVID-19 pandemic, this metric was primarily derived from case data, which...