{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T12:05:41Z","timestamp":1775909141891,"version":"3.50.1"},"reference-count":64,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>\n                    Estimation of the effective reproductive number\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>t<\/jats:italic>\n                    <\/jats:sub>\n                    is important for detecting changes in disease transmission over time. During the Coronavirus Disease 2019 (COVID-19) pandemic, policy makers and public health officials are using\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>t<\/jats:italic>\n                    <\/jats:sub>\n                    to assess the effectiveness of interventions and to inform policy. However, estimation of\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>t<\/jats:italic>\n                    <\/jats:sub>\n                    from available data presents several challenges, with critical implications for the interpretation of the course of the pandemic. The purpose of this document is to summarize these challenges, illustrate them with examples from synthetic data, and, where possible, make recommendations. For near real-time estimation of\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>t<\/jats:italic>\n                    <\/jats:sub>\n                    , we recommend the approach of Cori and colleagues, which uses data from before time\n                    <jats:italic>t<\/jats:italic>\n                    and empirical estimates of the distribution of time between infections. Methods that require data from after time\n                    <jats:italic>t<\/jats:italic>\n                    , such as Wallinga and Teunis, are conceptually and methodologically less suited for near real-time estimation, but may be appropriate for retrospective analyses of how individuals infected at different time points contributed to the spread. We advise caution when using methods derived from the approach of Bettencourt and Ribeiro, as the resulting\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>t<\/jats:italic>\n                    <\/jats:sub>\n                    estimates may be biased if the underlying structural assumptions are not met. Two key challenges common to all approaches are accurate specification of the generation interval and reconstruction of the time series of new infections from observations occurring long after the moment of transmission. Naive approaches for dealing with observation delays, such as subtracting delays sampled from a distribution, can introduce bias. We provide suggestions for how to mitigate this and other technical challenges and highlight open problems in\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>t<\/jats:italic>\n                    <\/jats:sub>\n                    estimation.\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1008409","type":"journal-article","created":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T13:56:16Z","timestamp":1607608576000},"page":"e1008409","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":465,"title":["Practical considerations for measuring the effective reproductive number, Rt"],"prefix":"10.1371","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9369-6371","authenticated-orcid":true,"given":"Katelyn 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of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan.","volume":"323","author":"A Pan","year":"2020","journal-title":"JAMA."},{"issue":"19\u201320","key":"pcbi.1008409.ref002","doi-asserted-by":"crossref","first-page":"w20271","DOI":"10.4414\/smw.2020.20271","article-title":"Reproductive number of the COVID-19 epidemic in Switzerland with a focus on the Cantons of Basel-Stadt and Basel-Landschaft.","volume":"150","author":"J Scir\u00e9","year":"2020","journal-title":"Swiss Med Wkly."},{"key":"pcbi.1008409.ref003","article-title":"Early dynamics of transmission and control of COVID-19: a mathematical modelling study","author":"AJ Kucharski","year":"2020","journal-title":"Lancet Infect Dis"},{"issue":"1","key":"pcbi.1008409.ref004","doi-asserted-by":"crossref","first-page":"110","DOI":"10.3201\/eid1201.050593","article-title":"Real-time Estimates in Early Detection of SARS","volume":"12","author":"S Cauchemez","year":"2006","journal-title":"Emerg Infect Dis"},{"key":"pcbi.1008409.ref005","article-title":"Estimating the number of infections and the impact of nonpharmaceutical interventions on COVID-19 in 11 European countries.","author":"S Flaxman","year":"2020"},{"key":"pcbi.1008409.ref006","unstructured":"rt.live.; 2020 [cited 2020 Jun 3]. Available from: http:\/\/rt.live."},{"key":"pcbi.1008409.ref007","unstructured":"covidactnow. 2020 [cited 2020 Jun 3]. Available from: https:\/\/covidactnow.org\/?s=39636 [cited 3-June-2020.]."},{"key":"pcbi.1008409.ref008","article-title":"Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2","author":"JS Huisman","year":"2020","journal-title":"medrxiv"},{"key":"pcbi.1008409.ref009","unstructured":"Coronavirus disease 2019 Real-time dashboard. [cited 2020 Jun 3]. Available from: https:\/\/covid19.sph.hku.hk\/."},{"key":"pcbi.1008409.ref010","unstructured":"Modeling Covid-19. [cited 2020 Jun 3]. Available from: https:\/\/modelingcovid.com\/."},{"key":"pcbi.1008409.ref011","unstructured":"Ellis P. Tracking COVID-19 in Australia; 2020 [cited 2020 Sep 17]. Available from: http:\/\/freerangestats.info\/covid-tracking\/index.html."},{"key":"pcbi.1008409.ref012","article-title":"Association of Public Health Interventions With the Epidemiology of the COVID-19 Outbreak in Wuhan, China.","author":"Comment on Pan A","year":"2020","journal-title":"JAMA"},{"issue":"6","key":"pcbi.1008409.ref013","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1093\/aje\/kwh255","article-title":"Different Epidemic Curves for Severe Acute Respiratory Syndrome Reveal Similar Impacts of Control Measures","volume":"160","author":"J Wallinga","year":"2004","journal-title":"Am J Epidemiol"},{"issue":"5","key":"pcbi.1008409.ref014","doi-asserted-by":"crossref","first-page":"e2185","DOI":"10.1371\/journal.pone.0002185","article-title":"Real Time Bayesian Estimation of the Epidemic Potential of Emerging Infectious Diseases.","volume":"3","author":"LMA Bettencourt","year":"2008","journal-title":"PLoS ONE."},{"issue":"9","key":"pcbi.1008409.ref015","doi-asserted-by":"crossref","first-page":"1505","DOI":"10.1093\/aje\/kwt133","article-title":"A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics","volume":"178","author":"A Cori","year":"2013","journal-title":"Am J Epidemiol"},{"key":"pcbi.1008409.ref016","doi-asserted-by":"crossref","first-page":"100356","DOI":"10.1016\/j.epidem.2019.100356","article-title":"Improved inference of time-varying reproduction numbers during infectious disease outbreaks","volume":"29","author":"RN Thompson","year":"2019","journal-title":"Epidemics"},{"key":"pcbi.1008409.ref017","article-title":"Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions","author":"J Dehning","year":"2020","journal-title":"Science"},{"issue":"2122","key":"pcbi.1008409.ref018","doi-asserted-by":"crossref","first-page":"w20295","DOI":"10.4414\/smw.2020.20295","article-title":"Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland.","volume":"150","author":"JC Lemaitre","year":"2020","journal-title":"Swiss Med Wkly."},{"key":"pcbi.1008409.ref019","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.epidem.2014.09.003","article-title":"Potential for large outbreaks of Ebola virus disease.","volume":"9","author":"A Camacho","year":"2014","journal-title":"Epidemics"},{"issue":"1609","key":"pcbi.1008409.ref020","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1098\/rspb.2006.3754","article-title":"How generation intervals shape the relationship between growth rates and reproductive numbers","volume":"274","author":"J Wallinga","year":"2007","journal-title":"Proc R Soc B Biol Sci"},{"key":"pcbi.1008409.ref021","author":"A. Cori","year":"2020","journal-title":"EpiEstim: estimate time varying reproduction numbers from epidemic curves"},{"issue":"17","key":"pcbi.1008409.ref022","article-title":"Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020.","volume":"25","author":"T Ganyani","year":"2020","journal-title":"Eur Secur."},{"issue":"6491","key":"pcbi.1008409.ref023","doi-asserted-by":"crossref","DOI":"10.1126\/science.abb6936","article-title":"Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing","volume":"368","author":"L Ferretti","year":"2020","journal-title":"Science"},{"key":"pcbi.1008409.ref024","unstructured":"Systrom K. The Metric We Need to Manage COVID-19. 2020 [cited 2020 Jun 3]. Available from: http:\/\/systrom.com\/blog\/the-metric-we-need-to-manage-covid-19\/."},{"key":"pcbi.1008409.ref025","unstructured":"Stan Development Team. RStan: the R interface to Stan. 2020. Available from: http:\/\/mc-stan.org\/."},{"issue":"8","key":"pcbi.1008409.ref026","doi-asserted-by":"crossref","first-page":"e758","DOI":"10.1371\/journal.pone.0000758","article-title":"Estimating Individual and Household Reproduction Numbers in an Emerging Epidemic.","volume":"2","author":"C. 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Lipsitch","year":"2003","journal-title":"Science"},{"issue":"150","key":"pcbi.1008409.ref037","doi-asserted-by":"crossref","first-page":"20180670","DOI":"10.1098\/rsif.2018.0670","article-title":"Estimation in emerging epidemics: biases and remedies.","volume":"16","author":"T Britton","year":"2019","journal-title":"J R Soc Interface"},{"issue":"1","key":"pcbi.1008409.ref038","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.mbs.2006.10.010","article-title":"A note on generation times in epidemic models.","volume":"208","author":"\u00c5 Svensson","year":"2007","journal-title":"Math Biosci"},{"issue":"6","key":"pcbi.1008409.ref039","article-title":"Serial Interval of COVID-19 among Publicly Reported Confirmed Cases","volume":"26","author":"Z Du","year":"2020","journal-title":"Emerg Infect Dis"},{"key":"pcbi.1008409.ref040","doi-asserted-by":"crossref","first-page":"e57149","DOI":"10.7554\/eLife.57149","article-title":"Evidence for transmission of COVID-19 prior to 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Wyler","year":"2020","journal-title":"medRxiv."},{"issue":"10","key":"pcbi.1008409.ref048","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1002\/sim.4780101005","article-title":"A method of non-parametric back-projection and its application to AIDS data","volume":"10","author":"NG Becker","year":"1991","journal-title":"Stat Med"},{"key":"pcbi.1008409.ref049","doi-asserted-by":"crossref","first-page":"e97","DOI":"10.1017\/S0950268820001065","article-title":"Back-projection of COVID-19 diagnosis counts to assess infection incidence and control measures: analysis of Australian data","volume":"148","author":"IC Marschner","year":"2020","journal-title":"Epidemiol Infect"},{"issue":"11","key":"pcbi.1008409.ref050","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v077.i11","article-title":"Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance.","volume":"77","author":"S Meyer","year":"2017","journal-title":"J Stat Softw."},{"issue":"10","key":"pcbi.1008409.ref051","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v070.i10","article-title":"Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance.","volume":"70","author":"M Salmon","year":"2016","journal-title":"J Stat Softw."},{"key":"pcbi.1008409.ref052","article-title":"epidemia: Modeling of Epidemics using Hierarchical Bayesian Models","author":"JA Scott","year":"2020"},{"key":"pcbi.1008409.ref053","article-title":"The effectiveness of eight nonpharmaceutical interventions against COVID-19 in 41 countries.","author":"JM Brauner","year":"2020","journal-title":"medRxiv."},{"issue":"1","key":"pcbi.1008409.ref054","doi-asserted-by":"crossref","first-page":"15","DOI":"10.2307\/3315826.n1","article-title":"Adjustments for reporting delays and the prediction of occurred but not reported events","volume":"22","author":"JF Lawless","year":"1994","journal-title":"Can J 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