Rosalind M. Eggo
About
Rosalind M. Eggo is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology.
According to data from OpenAlex, Rosalind M. Eggo has authored 83 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Modeling and Simulation, 34 papers in Infectious Diseases and 34 papers in Epidemiology. Recurrent topics in Rosalind M. Eggo's work include COVID-19 epidemiological studies (53 papers), Influenza Virus Research Studies (20 papers) and Viral Infections and Outbreaks Research (17 papers). Rosalind M. Eggo is often cited by papers focused on COVID-19 epidemiological studies (53 papers), Influenza Virus Research Studies (20 papers) and Viral Infections and Outbreaks Research (17 papers). Rosalind M. Eggo collaborates with scholars based in United Kingdom, United States and South Africa. Rosalind M. Eggo's co-authors include W. John Edmunds, Adam J. Kucharski, Sebastian Funk, Stefan Flasche, Anton Camacho, Kevin van Zandvoort, Billy J. Quilty, Chrissy h. Roberts, Nicholas G. Davies and Naomi R. Waterlow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.
In The Last Decade
Rosalind M. Eggo
82 papers receiving 3.1k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Rosalind M. Eggo United Kingdom | 26 | 1.6k | 1.5k | 766 | 577 | 400 | 83 | 3.2k | ||
| Natalie E. Dean United States | 27 | 1.7k 1.1× | 1.7k 1.2× | 602 0.8× | 477 0.8× | 347 0.9× | 62 | 3.3k | ||
| Stephen M. Kissler United States | 16 | 1.6k 1.0× | 1.2k 0.9× | 503 0.7× | 271 0.5× | 532 1.3× | 31 | 3.1k | ||
| Matthew Biggerstaff United States | 30 | 1.6k 1.0× | 1.4k 1.0× | 1.6k 2.1× | 351 0.6× | 270 0.7× | 81 | 4.0k | ||
| Ashleigh R. Tuite Canada | 29 | 1.3k 0.8× | 1.2k 0.8× | 990 1.3× | 498 0.9× | 253 0.6× | 124 | 3.3k | ||
| Meagan C. Fitzpatrick United States | 26 | 1.1k 0.7× | 1.5k 1.0× | 606 0.8× | 346 0.6× | 295 0.7× | 66 | 2.9k | ||
| Bryan Lewis United States | 24 | 1.8k 1.1× | 997 0.7× | 937 1.2× | 428 0.7× | 421 1.1× | 85 | 3.1k | ||
| Jonathan M. Read United Kingdom | 28 | 1.5k 0.9× | 1.2k 0.8× | 1.1k 1.4× | 485 0.8× | 250 0.6× | 93 | 3.4k | ||
| Adam J. Kucharski United Kingdom | 31 | 1.7k 1.0× | 1.6k 1.1× | 836 1.1× | 815 1.4× | 304 0.8× | 111 | 3.2k | ||
| Christian L. Althaus Switzerland | 30 | 1.3k 0.8× | 1.4k 1.0× | 621 0.8× | 532 0.9× | 360 0.9× | 80 | 3.5k | ||
| Chiara Poletto France | 27 | 1.8k 1.1× | 882 0.6× | 677 0.9× | 640 1.1× | 544 1.4× | 58 | 3.1k |
Countries citing papers authored by Rosalind M. Eggo
Since
Specialization
Citations
This map shows the geographic impact of Rosalind M. Eggo'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 Rosalind M. Eggo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosalind M. Eggo more than expected).
Fields of papers citing papers by Rosalind M. Eggo
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Rosalind M. Eggo. 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 Rosalind M. Eggo. The network helps show where Rosalind M. Eggo may publish in the future.
Co-authorship network of co-authors of Rosalind M. Eggo
This figure shows the co-authorship network connecting the top 25 collaborators of Rosalind M. Eggo. A scholar is included among the top collaborators of Rosalind M. Eggo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rosalind M. Eggo. Rosalind M. Eggo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Waterlow, Naomi R., Jeanette Dawa, Edwin van Leeuwen, et al.. (2023). Potential health and economic impact of paediatric vaccination using next-generation influenza vaccines in Kenya: a modelling study. BMC Medicine. 21(1). 106–106.
2.
Gibbs, Hamish, Anwar Musah, William Ampofo, et al.. (2023). Call detail record aggregation methodology impacts infectious disease models informed by human mobility. PLoS Computational Biology. 19(8). e1011368–e1011368.
3.
Waterlow, Naomi R., et al.. (2023). The potential cost-effectiveness of next generation influenza vaccines in England and Wales: A modelling analysis. Vaccine. 41(41). 6017–6024.
4.
Asante, Ivy Asantewaa, Sharon Hsu, John Kofi Odoom, et al.. (2023). Repurposing an integrated national influenza platform for genomic surveillance of SARS-CoV-2 in Ghana: a molecular epidemiological analysis. The Lancet Global Health. 11(7). e1075–e1085.
5.
Sandmann, Frank, Elise Tessier, Joanne Lacy, et al.. (2022). Long-Term Health-Related Quality of Life in Non-Hospitalized Coronavirus Disease 2019 (COVID-19) Cases With Confirmed Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in England: Longitudinal Analysis and Cross-Sectional Comparison With Controls. Clinical Infectious Diseases. 75(1). e962–e973.
6.
Gibbs, Hamish, Yang Liu, Sam Abbott, et al.. (2022). Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data. SHILAP Revista de lepidopterología. 2(9). e0000502–e0000502.
7.
Kudryavtsev, Alexander V., Oxana M. Drapkina, А. V. Kontsevaya, et al.. (2022). Seroprevalence of SARS-Cov-2 Antibodies in Adults, Arkhangelsk, Russia. Emerging infectious diseases. 28(2). 463–465.
8.
Eggo, Rosalind M., et al.. (2021). The Impact of Cocirculating Pathogens on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/Coronavirus Disease 2019 Surveillance: How Concurrent Epidemics May Introduce Bias and Decrease the Observed SARS-CoV-2 Percentage Positivity. The Journal of Infectious Diseases. 225(2). 199–207.
9.
Waterlow, Naomi R., et al.. (2021). How immunity from and interaction with seasonal coronaviruses can shape SARS-CoV-2 epidemiology. Proceedings of the National Academy of Sciences. 118(49).
10.
Pearson, Carl A. B., W. John Edmunds, Thomas J. Hladish, & Rosalind M. Eggo. (2021). Potential test-negative design study bias in outbreak settings: application to Ebola vaccination in Democratic Republic of Congo. International Journal of Epidemiology. 51(1). 265–278.
11.
Prem, Kiesha, Kevin van Zandvoort, Petra Klepac, et al.. (2021). Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era. PLoS Computational Biology. 17(7). e1009098–e1009098.
12.
Jombart, Thibaut, Quentin J. Leclerc, Mark Jit, et al.. (2021). Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200266–20200266.
13.
Clifford, Samuel, Billy J. Quilty, Timothy Russell, et al.. (2021). Strategies to reduce the risk of SARS-CoV-2 importation from international travellers: modelling estimations for the United Kingdom, July 2020. Eurosurveillance. 26(39).
14.
Eggo, Rosalind M., Jeanette Dawa, Adam J. Kucharski, & Zulma M. Cucunubá. (2021). The importance of local context in COVID-19 models. Nature Computational Science. 1(1). 6–8.
15.
Pearson, Carl A. B., Fiammetta Bozzani, Simon R. Procter, et al.. (2021). COVID-19 vaccination in Sindh Province, Pakistan: A modelling study of health impact and cost-effectiveness. PLoS Medicine. 18(10). e1003815–e1003815.
16.
Davies, Nicholas, Adam J. Kucharski, Rosalind M. Eggo, Amy Gimma, & W. John Edmunds. (2020). Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study.
17.
Clifford, Samuel, Carl A. B. Pearson, Petra Klepac, et al.. (2020). Effectiveness of interventions targeting air travellers for delaying local outbreaks of SARS-CoV-2. Journal of Travel Medicine. 27(5).
18.
O’Reilly, Kathleen, Rachel Lowe, W. John Edmunds, et al.. (2018). Projecting the end of the Zika virus epidemic in Latin America: a modelling analysis. BMC Medicine. 16(1). 180–180.
19.
Opatowski, Lulla, Marc Baguelin, & Rosalind M. Eggo. (2018). Influenza interaction with cocirculating pathogens and its impact on surveillance, pathogenesis, and epidemic profile: A key role for mathematical modelling. PLoS Pathogens. 14(2). e1006770–e1006770.
20.
Hoen, Anne G., et al.. (2015). Epidemic Wave Dynamics Attributable to Urban Community Structure: A Theoretical Characterization of Disease Transmission in a Large Network. Journal of Medical Internet Research. 17(7). e169–e169.
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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