COVID-19: extending or relaxing distancing control measures
Open accessAbstract
The study by Kiesha Prem and colleagues1 in The Lancet Public Health is crucial for policy makers everywhere, as it indicates the effects of extending or relaxing physical distancing control measures on the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China. Prem and colleagues1 use observed data on COVID-19 spread from Wuhan and finely detailed empirical data from China on the number of contacts per day by age group at home, school, work, and other locations.2 Their model indicates that if the physical distancing measures begun in late January, 2020, in Wuhan are gradually relaxed in March, the virus could start to resurge 3 months later in June, and generate a second peak 5 months later at the end of August, 2020.
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Cites
Ferguson, N. M., Laydon, D. J., Nedjati-Gilani, G. L., Imai, N., Ainslie, K. E. C., Baguelin, M., Bhatia, S., Boonyasiri, A., Cucunubá, Z. M., Cuomo-Dannenburg, G., et al. (2020) · Spiral (Imperial College London) · doi:10.25561/77482 · Cited by 3,453 · see citing works
Prem, K., Liu, Y., Russell, T., Kucharski, A. J., Eggo, R. M., Davies, N. G. M., Flasche, S., Clifford, S., Pearson, C. A. B., Munday, J. D., et al. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30073-6 · Cited by 2,087 · see citing works
Projecting social contact matrices in 152 countries using contact surveys and demographic data
Prem, K., Cook, A. R., & Jit, M. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005697 · Cited by 889 · see citing works
Eubank, S., Eckstrand, I. A., Lewis, B. L., Venkatramanan, S., MARATHE, M. V., & Barrett, C. L. (2020) · Bulletin of Mathematical Biology · doi:10.1007/s11538-020-00726-x · Cited by 882 · see citing works
The early phase of the COVID-19 outbreak in Lombardy, ItalyPreprint
Cereda, D., Tirani, M., Rovida, F., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.09320 · Cited by 275 · see citing works
The early phase of the COVID-19 epidemic in Lombardy, Italy
Cereda, D., Manica, M., Tirani, M., Rovida, F., Demicheli, V., Ajelli, M., Poletti, P., Trentini, F., Guzzetta, G., Marziano, V., et al. (2021) · Epidemics · doi:10.1016/j.epidem.2021.100528 · Cited by 196 · see citing works
Coronavirus cases have dropped sharply in South Korea. What’s the secret to its success?
Normile, D. (2020) · Science · doi:10.1126/science.abb7566 · Cited by 125 · see citing works
Evidence informing the UK's COVID-19 public health response must be transparent
Alwan, N. A., Bhopal, R. S., Burgess, R. A., Colburn, T., Cuevas, L. E., Smith, G. D., Egger, M., Eldridge, S. M., Gallo, V., Gilthorpe, M. S., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30667-x · Cited by 59 · see citing works
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Research works printed but not linked: 1
- [8]Smith T Prosser T COVID-19 drug therapy—potential options https://www.elsevier.com/__data/assets/pdf_file/0007/988648/COVID-19-Drug-Therapy_Mar-2020.pdf March, 2020
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Coping during COVID-19: A mixed methods study of older cancer survivors
Galica, J., Liu, Z., Kain, D., Merchant, S., Booth, C., Koven, R., Brundage, M., & Haase, K. R. (2021) · Supportive Care in Cancer · doi:10.1007/s00520-020-05929-5 · Cited by 41 · see citing works
- Authors
- Colbourn, T.
- Affiliations
- University College London (GB)
- Corresponding author
- Colbourn, Tim
- ORCID
- Colbourn, Tim
- Venue
- The Lancet Public Health
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 5
- Issue
- 5
- Pages
- e236-e237
- ISSN
- 2468-2667 (ISSN-L)
- PMC
- PMC7194558
- OpenAlex
- W3012764439
- Cited by
- 145
- References
- 8
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 6 · 2023: 14 · 2022: 16 · 2021: 39 · 2020: 68
- FWCI
- 5.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Lancet Public Health (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Keywords
- COVID-19 pandemic, social distancing, epidemic resurgence, contact patterns, Wuhan, epidemic modeling
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, China, Humans, Pneumonia, Viral, Coronavirus Infections, Pandemics
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