As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
COVID-19 and impact on peer review
Articles
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Estimating COVID-19 cases infected with the variant alpha (VOC 202012/01): an analysis of screening data in Tokyo, January-March 2021
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Exploring secondary SARS-CoV-2 transmission from asymptomatic cases using contact tracing data
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How mathematical modeling could contribute to the quantification of metastatic tumor burden under therapy: insights in immunotherapeutic treatment of non-small cell lung cancer
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Modelling the association between COVID-19 transmissibility and D614G substitution in SARS-CoV-2 spike protein: using the surveillance data in California as an example
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Structural, phylogenetic and docking studies of D-amino acid oxidase activator (DAOA), a candidate schizophrenia gene
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Serotonin synthesis, release and reuptake in terminals: a mathematical model
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Review and application of group theory to molecular systems biology
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The biochemistry of acetaminophen hepatotoxicity and rescue: a mathematical model
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Common angiotensin receptor blockers may directly modulate the immune system via VDR, PPAR and CCR2b
Aims and scope
Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
Recent Reviews
A review of influenza detection and prediction through social networking sites
Ali Alessa and Miad Faezipour
Perspective on the dynamics of cancer
Youcef Derbal
Test-and-treat approach to HIV/AIDS: a primer for mathematical modeling
Kyeongah Nah, Hiroshi Nishiura, Naho Tsuchiya, Xiaodan Sun, Yusuke Asai and Akifumi Imamura
Editor-in-Chief
Professor Hiroshi Nishiura
Professor Nishiura is a Professor at the Kyoto University School of Public Health, Japan. He is cosmopolitan-minded, having worked for 10 years for different infectious disease modeling groups at Imperial College London, University of Tuebingen (Germany), University of Utrecht (The Netherlands) and the University of Hong Kong, before returning back to Japan in 2013. His research interests span the areas of statistical epidemiology of infectious diseases, epidemiological modeling and biomathematical formulation of the transmission dynamics of infectious diseases. He aims to answer policy-relevant questions by integrating various mathematical models with empirically observed data. A common thread in his research is an understanding of the epidemiological dynamics underlying empirically observed data.
Annual Journal Metrics
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Speed
92 days to first decision for reviewed manuscripts only
53 days to first decision for all manuscripts
192 days from submission to acceptance
27 days from acceptance to publication
Citation Impact
2.432 - 2-year Impact Factor
2.410 - 5-year Impact Factor
0.807 - Source Normalized Impact per Paper (SNIP)
0.580 - SCImago Journal Rank (SJR)
Usage
254,732 Downloads
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