Sebast Ian Funk - Infectious Diseases

Author Information

Sebastian Funk is a prominent researcher affiliated with the Centre for the Mathematical Modelling of Infectious Diseases and the Department of Infectious Disease Epidemiology at the London School of Hygiene & Tropical Medicine in London, United Kingdom. His work primarily focuses on the mathematical modeling and epidemiology of infectious diseases, contributing significant insights into the dynamics of disease transmission and control.

Research Contributions

Sebastian Funk has made substantial contributions to the field of infectious disease modeling and epidemiology. His recent work includes analyzing social contact changes during the COVID-19 pandemic, assessing forecasting methods for COVID-19 hospital admissions, and evaluating the impact of hospital-acquired infections on COVID-19 spread in England. Additionally, he has explored the effects of vaccine coverage on measles transmission in France and the impact of COVID-19 disruptions on dengue transmission in Southeast Asia and Latin America. His research emphasizes the application of statistical and mathematical models to understand and predict infectious disease dynamics.

Aliases

Throughout his academic career, Sebastian Funk has been referenced by various aliases, including S. Funk, Sebast Ian Funk, and Sebastian Funk.

Publication and Citation Metrics

Metric	Value
Citation Count	26,481
h-index	62
Paper Count	250

Publications:

Changes in social contacts in England during the COVID-19 pandemic between March 2020 and March 2021 as measured by the CoMix survey: A repeated cross-sectional study

DOI: 10.1371/journal.pmed.1003907

Year: 2022

Comparative assessment of methods for short-term forecasts of COVID-19 hospital admissions in England at the local level

DOI: 10.1186/s12916-022-02271-x

Year: 2022

The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020

DOI: 10.21203/rs.3.rs-1140332/v1

Year: 2022

The impact of local vaccine coverage and recent incidence on measles transmission in France between 2009 and 2018

DOI: 10.1186/s12916-022-02277-5

Year: 2022

Collaborative Hubs: Making the Most of Predictive Epidemic Modeling.

DOI: 10.2105/AJPH.2022.306831

Year: 2022

Measuring the effects of COVID-19-related disruption on dengue transmission in southeast Asia and Latin America: a statistical modelling study

DOI: 10.1016/S1473-3099(22)00025-1

Year: 2022

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States.

DOI: 10.1073/pnas.2113561119

Year: 2022

Estimation of the test to test distribution as a proxy for generation interval distribution for the Omicron variant in England

DOI: 10.1101/2022.01.08.22268920

Year: 2022

In Elimination Settings, Measles Antibodies Wane Following Vaccination but Not Following Infection - A Systematic Review and Meta-Analysis.

DOI: 10.1093/infdis/jiac039

Year: 2022

Estimating epidemiological quantities from repeated cross-sectional prevalence measurements

DOI: 10.1101/2022.03.29.22273101

Year: 2022

How is HTS Applied in Infectious Diseases?

Are There Alternatives to Traditional Antibiotics?

What Does Asymptomatic Mean?

What are Common Infectious Diseases During Pregnancy?

What should be done if a condom fails?

What is Streptococcus pneumoniae?

How Do Contaminants Enter Food and Water?

What are Pathogenic Microorganisms?

What is the Prognosis for Cervical Cancer?

What is the Complement System?

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