What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Disease
- Virus
Pandemic, Influenza A virus, Public health, Epidemiology and Immunology are his primary areas of study.
His study looks at the relationship between Pandemic and topics such as Risk assessment, which overlap with Placebo.
His Influenza A virus research is covered under the topics of Virology and Virus.
His studies examine the connections between Public health and genetics, as well as such issues in Environmental health, with regards to Psychological intervention, Observational study, Index case and Cohort study.
His Epidemiology study incorporates themes from Serial interval, Outbreak, Pediatrics and Basic reproduction number.
The Outbreak study which covers Coronavirus that intersects with Severe acute respiratory syndrome coronavirus 2 and Pneumonia.
His most cited work include:
- Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. (7137 citations)
- Temporal dynamics in viral shedding and transmissibility of COVID-19. (2051 citations)
- Estimates of global seasonal influenza-associated respiratory mortality: a modelling study (799 citations)
What are the main themes of his work throughout his whole career to date?
Benjamin J. Cowling focuses on Virology, Pandemic, Vaccination, Environmental health and Virus.
Virology is closely attributed to Serology in his research.
The concepts of his Pandemic study are interwoven with issues in Human mortality from H5N1, Influenza A virus and Epidemiology.
His study connects Outbreak and Epidemiology.
His Vaccination study deals with the bigger picture of Immunology.
The study incorporates disciplines such as Psychological intervention, Public health and Transmission in addition to Environmental health.
He most often published in these fields:
- Virology (23.32%)
- Pandemic (17.37%)
- Vaccination (15.65%)
What were the highlights of his more recent work (between 2019-2021)?
- Coronavirus disease 2019 (7.04%)
- Severe acute respiratory syndrome coronavirus 2 (4.54%)
- Pandemic (17.37%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Coronavirus disease 2019, Severe acute respiratory syndrome coronavirus 2, Pandemic, Environmental health and Public health.
His work deals with themes such as 2019-20 coronavirus outbreak, Outbreak and Virology, which intersect with Coronavirus disease 2019.
His Outbreak research includes themes of Epidemiology and Quarantine.
In his work, Betacoronavirus is strongly intertwined with Coronavirus, which is a subfield of Severe acute respiratory syndrome coronavirus 2.
His Pandemic research incorporates themes from Case fatality rate and Isolation.
His Environmental health study also includes fields such as
- Psychological intervention and related Incidence,
- Vaccination that intertwine with fields like Health care.
Between 2019 and 2021, his most popular works were:
- Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. (7137 citations)
- Temporal dynamics in viral shedding and transmissibility of COVID-19. (2051 citations)
- Respiratory virus shedding in exhaled breath and efficacy of face masks. (773 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Disease
- Virus
Benjamin J. Cowling spends much of his time researching Coronavirus disease 2019, Pandemic, Public health, Severe acute respiratory syndrome coronavirus 2 and Epidemiology.
His Pandemic research is multidisciplinary, incorporating elements of Case fatality rate, Isolation and Intensive care medicine.
His work carried out in the field of Public health brings together such families of science as Environmental health, Contact tracing, Confidence interval, Transmission and Social distance.
His Severe acute respiratory syndrome coronavirus 2 research incorporates elements of Coronavirus and Virology.
His Virology research is multidisciplinary, relying on both Cluster analysis and Pneumonia.
His biological study spans a wide range of topics, including Serial interval, Outbreak, Pediatrics and Basic reproduction number.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
