His main research concerns Vaccination, Demography, Environmental health, Public health and Cost–benefit analysis. Mark Jit combines subjects such as Developing country, Cervical cancer and Cost-effectiveness analysis with his study of Vaccination. The concepts of his Demography study are interwoven with issues in Epidemiology, Outbreak, Disease and Severe acute respiratory syndrome coronavirus 2.
His research in Outbreak intersects with topics in Social distance and Coronavirus disease 2019. His Environmental health research integrates issues from Quality-adjusted life year, Pandemic, Contact tracing and Mass screening. His Cost–benefit analysis research incorporates themes from Surgery and Economic evaluation.
His primary areas of study are Vaccination, Environmental health, Demography, Public health and Pediatrics. The Vaccination study combines topics in areas such as Cost–benefit analysis, Cervical cancer and Cost-effectiveness analysis. His research integrates issues of Health economics, Public economics and Economic evaluation in his study of Cost–benefit analysis.
His biological study spans a wide range of topics, including Gynecology, Family medicine and Human papillomavirus. In his work, Global health is strongly intertwined with Pandemic, which is a subfield of Environmental health. Mark Jit interconnects Young adult, Epidemiology, Incidence and Outbreak in the investigation of issues within Demography.
The scientist’s investigation covers issues in Vaccination, Coronavirus disease 2019, Demography, Environmental health and Pandemic. His Vaccination research includes elements of Cervical cancer, Disease burden, Public health and Cost-effectiveness analysis. In general Coronavirus disease 2019, his work in Severe acute respiratory syndrome coronavirus 2 is often linked to Geography linking many areas of study.
Mark Jit works mostly in the field of Severe acute respiratory syndrome coronavirus 2, limiting it down to concerns involving Health care and, occasionally, Test, Economic evaluation and Public economics. His biological study spans a wide range of topics, including Epidemiology, Incidence, Population ageing, Disease and Socioeconomic status. His work in Environmental health tackles topics such as Measles which are related to areas like Child mortality.
Mark Jit mainly investigates Demography, Coronavirus disease 2019, Pandemic, Incidence and Geography. His research integrates issues of Epidemiology, Cervical cancer, Disease, Public health and Vaccination in his study of Demography. His Vaccination study incorporates themes from Economic growth and Health policy.
His research in Coronavirus disease 2019 is mostly concerned with Severe acute respiratory syndrome coronavirus 2. His Severe acute respiratory syndrome coronavirus 2 research is multidisciplinary, relying on both Health data, Contact tracing, Transmission dynamic and Transmission potential. His Pandemic research incorporates themes from Global health, Subclinical infection, Scale and Environmental health.
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Social contacts and mixing patterns relevant to the spread of infectious diseases.
Joël Mossong;Niel Hens;Mark Jit;Philippe Beutels.
PLOS Medicine (2008)
Early dynamics of transmission and control of COVID-19: a mathematical modelling study.
Adam J Kucharski;Timothy W Russell;Charlie Diamond;Yang Liu.
Lancet Infectious Diseases (2020)
Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
Joel Hellewell;Sam Abbott;Amy Gimma;Nikos I Bosse.
The Lancet Global Health (2020)
The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study.
Kiesha Prem;Yang Liu;Timothy W Russell;Adam J Kucharski.
The Lancet. Public health (2020)
Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England.
Nicholas G. Davies;Sam Abbott;Rosanna C. Barnard;Christopher I. Jarvis.
Science (2021)
Age-dependent effects in the transmission and control of COVID-19 epidemics.
Nicholas G. Davies;Petra Klepac;Yang Liu;Kiesha Prem.
Nature Medicine (2020)
Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study.
Andrew Clark;Mark Jit;Charlotte Warren-Gash;Bruce Guthrie.
(2020)
Projecting social contact matrices in 152 countries using contact surveys and demographic data.
Kiesha Prem;Alex R. Cook;Mark Jit;Mark Jit.
PLOS Computational Biology (2017)
Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study.
Adam J. Kucharski;Petra Klepac;Petra Klepac;Andrew J. K. Conlan;Stephen M. Kissler.
Lancet Infectious Diseases (2020)
Challenges in ensuring global access to COVID-19 vaccines: production, affordability, allocation, and deployment.
Olivier J Wouters;Kenneth C Shadlen;Maximilian Salcher-Konrad;Andrew J Pollard.
The Lancet (2021)
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