Sam Abbott

26.1k citations

44 papers · 944 indexed · 1 hit paper · h-index 13

Impact in

Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
Virology top 5%
- Poxvirus research and outbreaks

Papers in ⓘ

Modeling and Simulation 27
- COVID-19 epidemiological studies 26
Virology 4
- Poxvirus research and outbreaks 4

Co-authors: Sebastian Funk (22 shared papers)W. John Edmunds (3 shared papers)Ruwan Ratnayake (2 shared papers)Kevin van Zandvoort (3 shared papers)Stefan Flasche (2 shared papers)Joel Hellewell (4 shared papers)Rosalind M. Eggo (3 shared papers)Adam J. Kucharski (4 shared papers)
Journals: PLoS Computational Biology (9 papers)Eurosurveillance (3 papers)Science (2 papers)eLife (2 papers)Vaccine (1 paper)
Partner nations: United Kingdom United States Germany

In The Last Decade

Sam Abbott

42 papers receiving 923 citations

Hit Papers

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Heavy-tailed sexual contact networks and monkeypox epidemiology in the global outbreak, 2022 2022 · 112 citations

Peers

Countries citing papers authored by Sam Abbott

Since Specialization

Citations

This map shows the geographic impact of Sam Abbott's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sam Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Abbott more than expected).

Fields of papers citing papers by Sam Abbott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Abbott. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sam Abbott. The network helps show where Sam Abbott may publish in the future.

Co-authors

The 25 scholars most cited alongside Sam Abbott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sam Abbott Line = papers co-authored together Sam Abbott links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Estimating the infection and case fatality ratio for coronavirus disease (COVID-19) using age-adjusted data from the outbreak on the Diamond Princess cruise ship, February 2020 Eurosurveillance ·Timothy Russell, Joel Hellewell, Christopher I Jarvis, Kevin van Zandvoort, Sam Abbott, Ruwan Ratnayake, (unknown), Stefan Flasche, Rosalind M. Eggo, W. John Edmunds, Adam J. Kucharski	2020	268
2	Heavy-tailed sexual contact networks and monkeypox epidemiology in the global outbreak, 2022 Science ·Akira Endo, Hiroaki Murayama, Sam Abbott, Ruwan Ratnayake, Carl A. B. Pearson, W. John Edmunds, Elizabeth Fearon, Sebastian Funk Hit paper breakdown →	2022	112
3	The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia Science ·Martin Pavelka, Kevin van Zandvoort, Sam Abbott, Katharine Sherratt, Marek Majdán, (unknown), (unknown), Pavol Jarčuška, Marek Krajčí, Stefan Flasche, Sebastian Funk	2021	110
4	Measuring the effects of COVID-19-related disruption on dengue transmission in southeast Asia and Latin America: a statistical modelling study. Edinburgh Research Explorer (University of Edinburgh) ·Yuyang Chen, Naizhe Li, José Lourenço, Lin Wang, Bernard Cazelles, Lü Dong, Bingying Li, Yang Liu, Mark Jit, Nikos I Bosse, Sam Abbott, Raman Velayudhan, Annelies Wilder‐Smith, Huaiyu Tian, Oliver J. Brady, (unknown)	2022	92
5	Early analysis of the Australian COVID-19 epidemic eLife ·David J. Price, Freya M. Shearer, Michael T. Meehan, Emma S. McBryde, Robert Moss, Nick Golding, Eamon Conway, Peter Dawson, Deborah Cromer, James Wood, Sam Abbott, Jodie McVernon, James M. McCaw	2020	48
6	Inference of the SARS-CoV-2 generation time using UK household data eLife ·William S. Hart, Sam Abbott, Akira Endo, Joel Hellewell, Elizabeth Miller, Nick Andrews, Philip K. Maini, Sebastian Funk, Robin N. Thompson	2022	35
7	Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England Philosophical Transactions of the Royal Society B Biological Sciences ·Katharine Sherratt, Sam Abbott, Sophie Meakin, Joel Hellewell, James D Munday, Nikos I Bosse, (unknown), Mark Jit, Sebastian Funk	2021	27
8	Commentary on the use of the reproduction number R during the COVID-19 pandemic Statistical Methods in Medical Research ·Carolin Vegvari, Sam Abbott, Frank Ball, Ellen Brooks‐Pollock, Robert Challen, Benjamin Collyer, C. E. Dangerfield, Julia R. Gog, Katelyn M. Gostic, Jane M. Heffernan, T. Déirdre Hollingsworth, Valerie Isham, Eben Kenah, Denis Mollison, Jasmina Panovska‐Griffiths, Lorenzo Pellis, Michael C. Roberts, Gianpaolo Scalia Tomba, Robin N. Thompson, Pieter Trapman	2021	25
9	Accumulation of Immunity in Heavy-Tailed Sexual Contact Networks Shapes Mpox Outbreak Sizes The Journal of Infectious Diseases ·Hiroaki Murayama, Carl A. B. Pearson, Sam Abbott, Fuminari Miura, Sung-mok Jung, Elizabeth Fearon, Sebastian Funk, Akira Endo	2023	23
10	Inferring the differences in incubation-period and generation-interval distributions of the Delta and Omicron variants of SARS-CoV-2 Proceedings of the National Academy of Sciences ·Sang Woo Park, Kaiyuan Sun, Sam Abbott, Ron Sender, Yinon M. Bar‐On, Joshua S. Weitz, Sebastian Funk, Bryan T. Grenfell, Jantien A. Backer, Jacco Wallinga, Cécile Viboud, Jonathan Dushoff	2023	22
11	Estimating number of cases and spread of coronavirus disease (COVID-19) using critical care admissions, United Kingdom, February to March 2020 Eurosurveillance ·Mark Jit, Thibaut Jombart, Emily Nightingale, Akira Endo, Sam Abbott, W. John Edmunds	2020	19
12	A systematic review and meta-analysis on the incubation period of Campylobacteriosis Epidemiology and Infection ·Adedoyin Awofisayo-Okuyelu, Ian Hall, Goutam K. Adak, Jeremy Hawker, Sam Abbott, Noel McCarthy	2017	15
13	Comparing human and model-based forecasts of COVID-19 in Germany and Poland PLoS Computational Biology ·Nikos I Bosse, Sam Abbott, Johannes Bracher, Habakuk Hain, Billy J. Quilty, Mark Jit, Edwin van Leeuwen, Anne Cori, Sebastian Funk	2022	14
14	Early human judgment forecasts of human monkeypox, May 2022 The Lancet Digital Health ·Thomas McAndrew, Maimuna S. Majumder, Andrew A. Lover, Srini Venkatramanan, Paolo Bocchini, Tamay Besiroglu, Allison Codi, David Braun, Gaia Dempsey, Sam Abbott, Sylvain Chevalier, Nikos I Bosse, Juan Cambeiro	2022	11
15	Nowcasting the 2022 mpox outbreak in England PLoS Computational Biology ·Christopher E. Overton, Sam Abbott, Rachel Christie, Fergus Cumming, Julie Day, Owen Jones, Rob Paton, Charlie Turner, Thomas R. Ward	2023	11
16	Scoring epidemiological forecasts on transformed scales PLoS Computational Biology ·Nikos I Bosse, Sam Abbott, Anne Cori, Edwin van Leeuwen, Johannes Bracher, Sebastian Funk	2023	11
17	Collaborative nowcasting of COVID-19 hospitalization incidences in Germany PLoS Computational Biology ·Daniel Wolffram, Sam Abbott, Matthias an der Heiden, Sebastian Funk, Felix Günther, Davide Hailer, Stefan Heyder, Thomas Hotz, Jan van de Kassteele, Helmut Küchenhoff, Sören Müller-Hansen, Diellë Syliqi, Alexander Ullrich, Maximilian Weigert, Melanie Schienle, Johannes Bracher	2023	10
18	Best practices for estimating and reporting epidemiological delay distributions of infectious diseases PLoS Computational Biology ·Kelly Charniga, Sang Woo Park, Andrei R. Akhmetzhanov, Anne Cori, Jonathan Dushoff, Sebastian Funk, Katelyn M. Gostic, Natalie M. Linton, Adrian Lison, Christopher E. Overton, Juliet R.C. Pulliam, Thomas Ward, Simon Cauchemez, Sam Abbott	2024	9
19	Evaluating the use of social contact data to produce age-specific short-term forecasts of SARS-CoV-2 incidence in England PLoS Computational Biology ·James D Munday, Sam Abbott, Sophie Meakin, Sebastian Funk	2023	8
20	Generative Bayesian modeling to nowcast the effective reproduction number from line list data with missing symptom onset dates PLoS Computational Biology ·Adrian Lison, Sam Abbott, Jana S. Huisman, Tanja Stadler	2024	8

About Sam Abbott

Sam Abbott is a scholar working on Modeling and Simulation, Virology, Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 944 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (26 papers), Influenza Virus Research Studies (8 papers), Data-Driven Disease Surveillance (7 papers), COVID-19 Pandemic Impacts (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Poxvirus research and outbreaks (4 papers), Zoonotic diseases and public health (4 papers) and COVID-19 Digital Contact Tracing (3 papers). The work is most often cited by research in Modeling and Simulation (517 citations), Virology (124 citations), Infectious Diseases (430 citations), Epidemiology (258 citations) and Public Health, Environmental and Occupational Health (162 citations). Sam Abbott has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Sebastian Funk, W. John Edmunds, Ruwan Ratnayake, Kevin van Zandvoort, Stefan Flasche, Joel Hellewell, Rosalind M. Eggo, Adam J. Kucharski, Timothy Russell and Christopher I Jarvis. Their work appears in journals such as PLoS Computational Biology, Eurosurveillance, Science, eLife and Vaccine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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