D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Microbiology D-index 61 Citations 20,354 285 World Ranking 1894 National Ranking 158

Overview

What is he best known for?

The fields of study he is best known for:

  • Disease
  • Internal medicine
  • Statistics

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 most cited work include:

  • Social contacts and mixing patterns relevant to the spread of infectious diseases. (1716 citations)
  • Early dynamics of transmission and control of COVID-19: a mathematical modelling study. (1284 citations)
  • Early dynamics of transmission and control of COVID-19: a mathematical modelling study. (1284 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Vaccination (61.84%)
  • Environmental health (30.26%)
  • Demography (26.75%)

What were the highlights of his more recent work (between 2019-2021)?

  • Vaccination (61.84%)
  • Coronavirus disease 2019 (9.43%)
  • Demography (26.75%)

In recent papers he was focusing on the following fields of study:

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.

Between 2019 and 2021, his most popular works were:

  • Early dynamics of transmission and control of COVID-19: a mathematical modelling study. (1284 citations)
  • Early dynamics of transmission and control of COVID-19: a mathematical modelling study. (1284 citations)
  • Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts (1242 citations)

In his most recent research, the most cited papers focused on:

  • Disease
  • Internal medicine
  • Statistics

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.

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.

Best Publications

Social contacts and mixing patterns relevant to the spread of infectious diseases.

Joël Mossong;Niel Hens;Mark Jit;Philippe Beutels.
PLOS Medicine (2008)

2675 Citations

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)

2410 Citations

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)

2391 Citations

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)

1776 Citations

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)

1654 Citations

Age-dependent effects in the transmission and control of COVID-19 epidemics.

Nicholas G. Davies;Petra Klepac;Yang Liu;Kiesha Prem.
Nature Medicine (2020)

1189 Citations

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)

760 Citations

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)

726 Citations

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)

685 Citations

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)

638 Citations

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