David Champredon

1.5k total citations
34 papers, 772 citations indexed

About

David Champredon is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology. According to data from OpenAlex, David Champredon has authored 34 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 19 papers in Modeling and Simulation and 10 papers in Epidemiology. Recurrent topics in David Champredon's work include COVID-19 epidemiological studies (19 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Viral Infections and Outbreaks Research (7 papers). David Champredon is often cited by papers focused on COVID-19 epidemiological studies (19 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Viral Infections and Outbreaks Research (7 papers). David Champredon collaborates with scholars based in Canada, United States and United Kingdom. David Champredon's co-authors include Jonathan Dushoff, David J. D. Earn, Sang Woo Park, Michael Li, Joshua S. Weitz, Anila Qasim, David Meyre, John R. Speakman, Michelle Turcotte and Russell J. de Souza and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David Champredon

34 papers receiving 762 citations

Peers

David Champredon
Megan O’Driscoll United Kingdom
Anne M. Presanis United Kingdom
Unyeong Go South Korea
Elizabeth C. Lee United States
Talía M. Quandelacy United States
Megan O’Driscoll United Kingdom
David Champredon
Citations per year, relative to David Champredon David Champredon (= 1×) peers Megan O’Driscoll

Countries citing papers authored by David Champredon

Since Specialization
Citations

This map shows the geographic impact of David Champredon'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 David Champredon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Champredon more than expected).

Fields of papers citing papers by David Champredon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Champredon. 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 David Champredon. The network helps show where David Champredon may publish in the future.

Co-authorship network of co-authors of David Champredon

This figure shows the co-authorship network connecting the top 25 collaborators of David Champredon. A scholar is included among the top collaborators of David Champredon 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 David Champredon. David Champredon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Champredon, David, Shelley Peterson, Edgard M. Mejia, et al.. (2024). Emergence and spread of SARS-CoV-2 variants of concern in Canada: a retrospective analysis from clinical and wastewater data. BMC Infectious Diseases. 24(1). 139–139. 5 indexed citations
2.
Ali, Shehzad, Seyed M. Moghadas, Alison P. Galvani, et al.. (2024). Incorporating Social Determinants of Health in Infectious Disease Models: A Systematic Review of Guidelines. Medical Decision Making. 44(7). 742–755. 2 indexed citations
3.
Champredon, David, et al.. (2023). SUP: a probabilistic framework to propagate genome sequence uncertainty, with applications. NAR Genomics and Bioinformatics. 5(2). lqad038–lqad038. 1 indexed citations
4.
Mangat, Chand S., et al.. (2023). Coupling wastewater-based epidemiological surveillance and modelling of SARS-COV-2/COVID-19: Practical applications at the Public Health Agency of Canada. Canada Communicable Disease Report. 49(5). 166–174. 4 indexed citations
5.
Rees, Erin E., Brent P. Avery, Hélène Carabin, et al.. (2022). Effectiveness of non-pharmaceutical interventions to reduce SARS-CoV-2 transmission in Canada and their association with COVID-19 hospitalization rates. Canada Communicable Disease Report. 48(10). 438–448. 3 indexed citations
6.
Nourbakhsh, Shokoofeh, Aamir Fazil, Michael Li, et al.. (2022). A wastewater-based epidemic model for SARS-CoV-2 with application to three Canadian cities. Epidemics. 39. 100560–100560. 70 indexed citations
7.
Champredon, David, Aamir Fazil, Chand S. Mangat, et al.. (2022). Statistical framework to support the epidemiological interpretation of SARS-CoV-2 concentration in municipal wastewater. Scientific Reports. 12(1). 13490–13490. 8 indexed citations
8.
Bancej, Christina, et al.. (2022). Antigenic drift and epidemiological severity of seasonal influenza in Canada. Scientific Reports. 12(1). 15625–15625. 9 indexed citations
9.
Champredon, David, et al.. (2021). Implications of the unexpected persistence of human rhinovirus/enterovirus during the COVID‐19 pandemic in Canada. Influenza and Other Respiratory Viruses. 16(2). 190–192. 14 indexed citations
10.
Champredon, David, Aamir Fazil, & Nicholas H. Ogden. (2021). Simple mathematical modelling approaches to assessing the transmission risk of SARS-CoV-2 at gatherings. SHILAP Revista de lepidopterología. 47(4). 184–194. 4 indexed citations
11.
Park, Sang Woo, David Champredon, & Jonathan Dushoff. (2020). Inferring generation-interval distributions from contact-tracing data. Journal of The Royal Society Interface. 17(167). 20190719–20190719. 17 indexed citations
12.
Park, Sang Woo, Benjamin M. Bolker, David Champredon, et al.. (2020). Reconciling early-outbreak estimates of the basic reproductive number and its uncertainty: framework and applications to the novel coronavirus (SARS-CoV-2) outbreak. Journal of The Royal Society Interface. 17(168). 20200144–20200144. 76 indexed citations
13.
Champredon, David, Affan Shoukat, & Seyed M. Moghadas. (2020). Effectiveness and cost-effectiveness of a Clostridium difficile vaccine candidate in a hospital setting. Vaccine. 38(11). 2585–2591. 4 indexed citations
14.
Santillana, Mauricio, Ashleigh R. Tuite, Tahmina Nasserie, et al.. (2018). Relatedness of the incidence decay with exponential adjustment (IDEA) model, “Farr's law” and SIR compartmental difference equation models. Infectious Disease Modelling. 3. 1–12. 11 indexed citations
15.
Champredon, David, Marek Laskowski, Nathalie Charland, & Seyed M. Moghadas. (2018). Assessing the benefits of early pandemic influenza vaccine availability: a case study for Ontario, Canada. Scientific Reports. 8(1). 6492–6492. 2 indexed citations
16.
Champredon, David & David J. D. Earn. (2016). Understanding apparently non-exponential outbreaks Comment on “Mathematical models to characterize early epidemic growth: A review” by Gerardo Chowell et al.. Physics of Life Reviews. 18. 105–108. 4 indexed citations
17.
Champredon, David, Caroline E. Cameron, Marek Smieja, & Jonathan Dushoff. (2016). Epidemiological impact of a syphilis vaccine: a simulation study. Epidemiology and Infection. 144(15). 3244–3252. 12 indexed citations
18.
Champredon, David, et al.. (2015). The effect of sexually transmitted co-infections on HIV viral load amongst individuals on antiretroviral therapy: a systematic review and meta-analysis. BMC Infectious Diseases. 15(1). 249–249. 23 indexed citations
19.
Bellan, Steven E., Juliet R.C. Pulliam, Carl A. B. Pearson, et al.. (2015). Statistical power and validity of Ebola vaccine trials in Sierra Leone: a simulation study of trial design and analysis. The Lancet Infectious Diseases. 15(6). 703–710. 46 indexed citations
20.
Champredon, David, Steven E. Bellan, & Jonathan Dushoff. (2013). HIV Sexual Transmission Is Predominantly Driven by Single Individuals Rather than Discordant Couples: A Model-Based Approach. PLoS ONE. 8(12). e82906–e82906. 4 indexed citations

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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