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Epidemics is a peer-reviewed journal published by Elsevier, covering COVID-19 epidemiological studies, Influenza Virus Research Studies, Animal Disease Management and Epidemiology.
| Publisher | Elsevier |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Epidemics, 12(3), pp. 45–58.
Formats any DOI in Epidemics style. No sign-up. |
| Publishes research in | COVID-19 epidemiological studies Influenza Virus Research Studies Animal Disease Management and Epidemiology Data-Driven Disease Surveillance Viral Infections and Outbreaks Research |
| ISSN | 1755-4365 |
| Citation impact (2-yr) | 3.47 |
| h-index | 74 |
| i10-index | 499 |
| Total citations | 23,022 |
| Article processing charge | $2,460 |
| Open access | Yes |
| Top institutions publishing here | Imperial College London |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Accurate estimation of the parameters characterising infectious disease transmission is vital for optimising control interventions during epidemics. A valuable metric for assessing the current threat posed by an outbreak is the time-dependent reproduction number, i.e. the expected number of secondary cases caused by each infected individual. This quantity can be estimated using data on the…
Infectious disease forecasting is gaining traction in the public health community; however, limited systematic comparisons of model performance exist. Here we present the results of a synthetic forecasting challenge inspired by the West African Ebola crisis in 2014-2015 and involving 16 international academic teams and US government agencies, and compare the predictive performance of 8…
Traditionally, the spread of infectious diseases in human populations has been modelled with static parameters. These parameters, however, can change when individuals change their behaviour. If these changes are themselves influenced by the disease dynamics, there is scope for mechanistic models of behaviour to improve our understanding of this interaction. Here, we present challenges in…
BACKGROUND: In the night of February 20, 2020, the first epidemic of the novel coronavirus disease (COVID-19) outside Asia was uncovered by the identification of its first patient in Lombardy region, Italy. In the following weeks, Lombardy experienced a sudden increase in the number of ascertained infections and strict measures were imposed to contain the…
The underlying structure of epidemiological models, and the questions that models can be used to address, do not necessarily depend on the host organism in question. This means that certain preoccupations of plant disease modellers are similar to those of modellers of diseases in human, livestock and wild animal populations. However, a number of aspects…
