How will country-based mitigation measures influence the course of the COVID-19 epidemic?
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In the mitigation or flatten-the-curve scenario, cumulative infections are nearly the same as uncontrolled, but they are spread over a longer period, reducing pressure on hospital and health-care capacity at any time.
“The eventual (cumulative) number of cases of infection during the epidemic is nearly the same as in the uncontrolled epidemic, but the infections are spread out over a longer time, and therefore put less pressure on the capacity of hospital and health-care systems at any given time.”
From The Lancet Commission on lessons for the future from the COVID-19 pandemic (2022) · cites this paper as [24]
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Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575 · see citing works
SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients
Zou, L., Ruan, F., Huang, M.-X., Liang, L.-J., Huang, H., Hong, Z.-S., Yu, J.-X., Kang, M., Song, Y.-C., Xia, J., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2001737 · Cited by 4,590 · see citing works
CDC Weekly, C., & The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team (2020) · China CDC Weekly · doi:10.46234/ccdcw2020.032 · Cited by 2,889 · see citing works
Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
Hellewell, J., Abbott, S., Gimma, A., Bosse, N. I., Jarvis, C. I., Russell, T. W., Munday, J. D., Kucharski, A. J., Edmunds, W. J., Sun, F., et al. (2020) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30074-7 · Cited by 2,550 · see citing works
Superspreading and the effect of individual variation on disease emergence
Lloyd-Smith, J. O., Schreiber, S. J., Kopp, P. E., & Getz, W. M. (2005) · Nature · doi:10.1038/nature04153 · Cited by 2,514 · see citing works
The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team (2020) · PubMed · Cited by 1,277 · see citing works
Factors that make an infectious disease outbreak controllable
Fraser, C., Riley, S., Anderson, R. M., & Ferguson, N. M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307506101 · Cited by 1,144 · see citing works
Self-citationClosure of schools during an influenza pandemic
Cauchemez, S., Ferguson, N. M., Wachtel, C., Tegnell, A., Saour, G., Duncan, B., & Nicoll, A. (2009) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(09)70176-8 · Cited by 547 · see citing works
Epidemiology, transmission dynamics and control of SARS: the 2002–2003 epidemic
Anderson, R. M., Fraser, C., Ghani, A. C., Donnelly, C. A., Riley, S., Ferguson, N. M., Leung, G. M., Lam, T. H., & Hedley, A. J. (2004) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2004.1490 · Cited by 509 · see citing works
Self-citationEfficacy of contact tracing for the containment of the 2019 novel coronavirus (COVID-19)
Keeling, M. J., Hollingsworth, T. D., & Read, J. M. (2020) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2020-214051 · Cited by 396 · see citing works
Self-citationThe health impact of the 2014–15 Ebola outbreak
Elston, J. W. T., Cartwright, C., Ndumbi, P., & Wright, J. (2016) · Public Health · doi:10.1016/j.puhe.2016.10.020 · Cited by 369 · see citing works
The Efficacy of Contact Tracing for the Containment of the 2019 Novel Coronavirus (COVID-19)Preprint
Keeling, M. J., Hollingsworth, T. D., & Read, J. M. (2020) · medRxiv · doi:10.1101/2020.02.14.20023036 · Cited by 173 · see citing works
Self-citationTransmission parameters of the A/H1N1 (2009) influenza virus pandemic: a review
Boëlle, P., Ansart, S., Cori, A., & Valleron, A. (2011) · Influenza and Other Respiratory Viruses · doi:10.1111/j.1750-2659.2011.00234.x · Cited by 158 · see citing works
Mitigation Strategies for Pandemic Influenza A: Balancing Conflicting Policy Objectives
Hollingsworth, T. D., Klinkenberg, D., Heesterbeek, H., & Anderson, R. M. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001076 · Cited by 135 · see citing works
Self-citationHeterogeneity in Estimates of the Impact of Influenza on Population Mortality: A Systematic Review
Li, L., Wong, J. Y., Wu, P., Bond, H. S., Lau, E. H. Y., Sullivan, S. G., & Cowling, B. J. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx270 · Cited by 83 · see citing works
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Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period
Kissler, S. M., Tedijanto, C., Goldstein, E., Grad, Y. H., & Lipsitch, M. (2020) · Science · doi:10.1126/science.abb5793 · Cited by 2,611 · see citing works
Elmer, T., Mepham, K., & Stadtfeld, C. (2020) · PLOS ONE · doi:10.1371/journal.pone.0236337 · Cited by 1,421 · see citing works
A literature review of the economics of COVID-19
Brodeur, A., Gray, D., Islam, A., & Bhuiyan, S. (2021) · Journal of Economic Surveys · doi:10.1111/joes.12423 · Cited by 976 · see citing works
Walker, P. G. T., Whittaker, C., Watson, O. J., Baguelin, M., Winskill, P., Hamlet, A., Djafaara, B. A., Cucunubá, Z., Olivera Mesa, D., Green, W., et al. (2020) · Science · doi:10.1126/science.abc0035 · Cited by 993 · see citing works
Davies, N. G., Kucharski, A. J., Eggo, R. M., Gimma, A., Edmunds, W. J., Jombart, T., O'Reilly, K., Endo, A., Hellewell, J., Nightingale, E. S., et al. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30133-x · Cited by 848 · see citing works
The Lancet Commission on lessons for the future from the COVID-19 pandemic
Sachs, J. D., Karim, S. S. A., Aknin, L., Allen, J., Brosbøl, K., Colombo, F., Barron, G. C., Espinosa, M. F., Gaspar, V., Gaviria, A., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(22)01585-9 · Cited by 842 · see citing works
Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle
Oliver, N., Lepri, B., Sterly, H., Lambiotte, R., Deletaille, S., De Nadai, M., Letouzé, E., Salah, A. A., Benjamins, R., Cattuto, C., et al. (2020) · Science Advances · doi:10.1126/sciadv.abc0764 · Cited by 631 · see citing works
Zacher, H., & Rudolph, C. W. (2021) · American Psychologist · doi:10.1037/amp0000702 · Cited by 643 · see citing works
Gollwitzer, A., Martel, C., Brady, W. J., Pärnamets, P., Freedman, I. G., Knowles, E. D., & Van Bavel, J. J. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00977-7 · Cited by 609 · see citing works
Modeling COVID-19 scenarios for the United States
IHME COVID-19 Forecasting Team, Reiner, R. C., Barber, R. M., Collins, J. K., Zheng, P., Adolph, C., Albright, J., Antony, C. M., Aravkin, A. Y., Bachmeier, S. D., et al. (2021) · Nature Medicine · doi:10.1038/s41591-020-1132-9 · Cited by 556 · see citing works
Mattioli, A. V., Sciomer, S., Cocchi, C., Maffei, S., & Gallina, S. (2020) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2020.05.020 · Cited by 540 · see citing works
Raza, S. A., Qazi, W., Khan, K. A., & Salam, J. (2021) · Journal of Educational Computing Research · doi:10.1177/0735633120960421 · Cited by 510 · see citing works
Vaccine confidence in the time of COVID-19
Harrison, E. A., & Wu, J. W. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00634-3 · Cited by 477 · see citing works
Farooq, A., Laato, S., & Islam, A. K. M. N. (2020) · Journal of Medical Internet Research · doi:10.2196/19128 · Cited by 467 · see citing works
COVID-19 in New Zealand and the impact of the national response: a descriptive epidemiological study
Jefferies, S., French, N., Gilkison, C., Graham, G., Hope, V., Marshall, J., McElnay, C., McNeill, A., Muellner, P., Paine, S., et al. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30225-5 · Cited by 349 · see citing works
The impact of COVID-19 school closure on child and adolescent health: a rapid systematic review
Chaabane, S., Doraiswamy, S., Chaabna, K., Mamtani, R., & Cheema, S. (2021) · Children · doi:10.3390/children8050415 · Cited by 288 · see citing works
van Deursen, A. J. (2020) · Journal of Medical Internet Research · doi:10.2196/20073 · Cited by 248 · see citing works
QR code and mobile payment: The disruptive forces in retail
Yan, L.-Y., Tan, G. W.-H., Loh, X.-M., Hew, J.-J., & Ooi, K.-B. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102300 · Cited by 252 · see citing works
A high-stringency blueprint of the human proteome
Adhikari, S., Nice, E. C., Deutsch, E. W., Lane, L., Omenn, G. S., Pennington, S. R., Paik, Y.-K., Overall, C. M., Corrales, F. J., Cristea, I. M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19045-9 · Cited by 210 · see citing works
Gambin, M., Sękowski, M., Woźniak-Prus, M., Wnuk, A., Oleksy, T., Cudo, A., Hansen, K., Huflejt-Łukasik, M., Kubicka, K., Łyś, A. E., et al. (2021) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2020.152222 · Cited by 202 · see citing works
Micah, A. E., Cogswell, I. E., Cunningham, B., Ezoe, S., Harle, A. C., Maddison, E. R., McCracken, D., Nomura, S., Simpson, K. E., Stutzman, H. N., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01258-7 · Cited by 162 · see citing works
Equilibrating resources and challenges during crises: a framework for service ecosystem well-being
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The primary care response to COVID-19 in England's National Health Service
Majeed, A., Maile, E. J., & Bindman, A. B. (2020) · Journal of the Royal Society of Medicine · doi:10.1177/0141076820931452 · Cited by 138 · see citing works
Coyle, P. V., Chemaitelly, H., Ben Hadj Kacem, M. A., Abdulla Al Molawi, N. H., El Kahlout, R. A., Gilliani, I., Younes, N., Al Anssari, G. A. A. A., Al Kanaani, Z., Al Khal, A., et al. (2021) · iScience · doi:10.1016/j.isci.2021.102646 · Cited by 86 · see citing works
Jeremijenko, A., Chemaitelly, H., Ayoub, H. H., Alishaq, M., Abou-Samra, A.-B., Al Ajmi, J. A. A. A., Al Ansari, N. A. A., Al Kanaani, Z., Al Khal, A., Al Kuwari, E., et al. (2021) · Emerging Infectious Diseases · doi:10.3201/eid2705.204365 · Cited by 97 · see citing works
SARS-CoV-2 Infection Is at Herd Immunity in the Majority Segment of the Population of Qatar
Al-Thani, M. H., Farag, E., Bertollini, R., Al Romaihi, H. E., Abdeen, S., Abdelkarim, A., Daraan, F., Elhaj Ismail, A. I. H., Mostafa, N., Sahl, M., et al. (2021) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofab221 · Cited by 85 · see citing works
Distress and Resilience in the Days of COVID-19: Comparing Two Ethnicities
Kimhi, S., Eshel, Y., Marciano, H., & Adini, B. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17113956 · Cited by 89 · see citing works
“This pandemic is rapidly spreading worldwide, with constantly growing numbers of morbidity and mortality [1,2].”
BackgroundResultLoneliness during COVID-19: Development and influencing factors
Lampraki, C., Hoffman, A., Roquet, A., & Jopp, D. S. (2022) · PLOS ONE · doi:10.1371/journal.pone.0265900 · Cited by 68 · see citing works
The effect of state-level stay-at-home orders on COVID-19 infection rates
Castillo, R. C., Staguhn, E. D., & Weston-Farber, E. (2020) · American Journal of Infection Control · doi:10.1016/j.ajic.2020.05.017 · Cited by 66 · see citing works
Rens, E., Smith, P., Nicaise, P., Lorant, V., & Van den Broeck, K. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.575553 · Cited by 58 · see citing works
Impact of the <scp>COVID</scp>‐19 pandemic on population‐based cancer registry
Soerjomataram, I., Bardot, A., Aitken, J., Piñeros, M., Znaor, A., Steliarova‐Foucher, E., Kohler, B., Bettio, M., Matsuda, T., de Camargo Cancela, M., et al. (2022) · International Journal of Cancer · doi:10.1002/ijc.33792 · Cited by 61 · see citing works
Paz, C., Mascialino, G., Adana-Díaz, L., Rodríguez-Lorenzana, A., Simbaña-Rivera, K., Gómez-Barreno, L., Troya, M., Paez, M. I., Cárdenas, J., Gerstner, R. M., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0240008 · Cited by 60 · see citing works
Kim, Y.-J., & Cho, J.-H. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17114066 · Cited by 53 · see citing works
Wijngaards, I., Sisouw de Zilwa, S. C. M., & Burger, M. J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.568907 · Cited by 50 · see citing works
McCoy, L. G., Smith, J., Anchuri, K., Berry, I., Pineda, J., Harish, V., Lam, A. T., Yi, S. E., Hu, S., Rosella, L., et al. (2020) · CMAJ Open · doi:10.9778/cmajo.20200100 · Cited by 47 · see citing works
Optimal, near-optimal, and robust epidemic control
Morris, D. H., Rossine, F. W., Plotkin, J. B., & Levin, S. (2020) · doi:10.31219/osf.io/9gr7q · Cited by 41 · see citing works
Salud Mental En Epidemias: Una Perspectiva Desde La Atención Primaria de Salud Española
Buitrago Ramírez, F., Ciurana Misol, R., Fernández Alonso, M. D. C., & Tizón García, J. L. (2020) · Atención Primaria · doi:10.1016/j.aprim.2020.09.004 · Cited by 35 · see citing works
Muehlschlegel, P. A., Parkinson, E. A., Chan, R. Y., Arden, M. A., & Armitage, C. J. (2021) · Journal of Global Health · doi:10.7189/jogh.11.05008 · Cited by 31 · see citing works
The power of disconnection during the COVID-19 emergency: From isolation to reparation.
Provenzi, L., & Tronick, E. (2020) · Psychological Trauma: Theory, Research, Practice, and Policy · doi:10.1037/tra0000619 · Cited by 29 · see citing works
Upping uptake of COVID contact tracing apps
Toussaert, S. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01048-1 · Cited by 25 · see citing works
Utility of teleconsultation in accessing eye care in a developing country during COVID-19 pandemic
Mansoor, H., Khan, S. A., Afghani, T., Assir, M. Z., Ali, M., & Khan, W. A. (2021) · PLOS ONE · doi:10.1371/journal.pone.0245343 · Cited by 22 · see citing works
Rinderknecht, M. D., & Klopfenstein, Y. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00482-9 · Cited by 23 · see citing works
Conti, C., Lanzara, R., Rosa, I., Müller, M. M., & Porcelli, P. (2023) · BMC Psychology · doi:10.1186/s40359-023-01099-1 · Cited by 18 · see citing works
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Dowd, J. B., Andriano, L., Brazel, D. M., Rotondi, V., Block, P., Ding, X., Liu, Y., & Mills, M. C. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2004911117 · Cited by 905 · see citing works
- Authors
- Anderson, R. M., Heesterbeek, H., Klinkenberg, D., & Hollingsworth, T. D.
- Affiliations
- Imperial College London (GB)
- Utrecht University (NL)
- National Institute for Public Health and the Environment (NL)
- University of Oxford (GB)
- Corresponding author
- Anderson, Roy M
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 395
- Issue
- 10228
- Pages
- 931-934
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC7158572
- OpenAlex
- W3009155494
- Cited by
- 3,648
- References
- 16
- Citations by year
- 2026: 45 · 2025: 100 · 2024: 179 · 2023: 336 · 2022: 566 · 2021: 1042 · 2020: 1374 · 2019: 1
- FWCI
- 131.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Rivm Repository (Netherlands National Institute for Public Health and the Environment) (submittedVersion)
- Rivm (National Institute for Public Health and the Environment) (submittedVersion, other-oa)
- Funders
- Medical Research Council (MR/R015600/1, MC_PC_19012)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Keywords
- COVID-19 pandemic, pandemic, transmission chains, mortality, economic impact, public health policy, epidemic course
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Humans, Mortality, Pneumonia, Viral, Quarantine, Contact Tracing, Coronavirus Infections, Basic Reproduction Number
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