The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza
Open accessAbstract
Background: Social distancing interventions such as school closure and prohibition of public gatherings are present in pandemic influenza preparedness plans. Predicting the effectiveness of intervention strategies in a pandemic is difficult. In the absence of other evidence, computer simulation can be used to help policy makers plan for a potential future influenza pandemic. We conducted simulations of a small community to determine the magnitude and timing of activation that would be necessary for social distancing interventions to arrest a future pandemic. Methods: We used a detailed, individual-based model of a real community with a population of approximately 30,000. We simulated the effect of four social distancing interventions: school closure, increased isolation of symptomatic individuals in their household, workplace nonattendance, and reduction of contact in the wider community. We simulated each of the intervention measures in isolation and in several combinations; and examined the effect of delays in the activation of interventions on the final and daily attack rates. Results: For an epidemic with an R 0 value of 1.5, a combination of all four social distancing measures could reduce the final attack rate from 33% to below 10% if introduced within 6 weeks from the introduction of the first case. In contrast, for an R 0 of 2.5 these measures must be introduced within 2 weeks of the first case to achieve a similar reduction; delays of 2, 3 and 4 weeks resulted in final attack rates of 7%, 21% and 45% respectively. For an R 0 of 3.5 the combination of all four measures could reduce the final attack rate from 73% to 16%, but only if introduced without delay; delays of 1, 2 or 3 weeks resulted in final attack rates of 19%, 35% or 63% respectively. For the higher R 0 values no single measure has a significant impact on attack rates. Conclusion: Our results suggest a critical role of social distancing in the potential control of a future pandemic and indicate that such interventions are capable of arresting influenza epidemic development, but only if they are used in combination, activated without delay and maintained for a relatively long period.
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Citations
Cites
Antiviral Resistance and the Control of Pandemic Influenza
Lipsitch, M., Cohen, T., Murray, M., & Levin, B. R. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040015 · Cited by 209 · cited 1×
“Their use in an influenza pandemic is however an untested strategy: more experience is needed to determine their likely effectiveness and optimal use, especially given the possibility of the development of antiviral drug resistance during or prior to a pandemic [17-19].”
Background
Cited by
Statistical physics of vaccination
Wang, Z., Bauch, C. T., Bhattacharyya, S., d'Onofrio, A., Manfredi, P., Perc, M., Perra, N., Salathé, M., & Zhao, D. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.006 · Cited by 872
Physical interventions to interrupt or reduce the spread of respiratory viruses
Jefferson, T., Del Mar, C. B., Dooley, L., Ferroni, E., Al-Ansary, L. A., Bawazeer, G. A., van Driel, M. L., Nair, N. S., Jones, M. A., Thorning, S., et al. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006207.pub4 · Cited by 805
Fong, M. W., Gao, H., Wong, J. Y., Xiao, J., Shiu, E. Y. C., Ryu, S., & Cowling, B. J. (2020) · Emerging Infectious Diseases · doi:10.3201/eid2605.190995 · Cited by 633
“The probability of self-isolation without increased public health effort by persons in the community have also been suggested to be high, at 50% and 90% for adult and children respectively (11).”
InfluentialCommunity Mitigation Guidelines to Prevent Pandemic Influenza — United States, 2017
Qualls, N., Levitt, A., Kanade, N., Wright-Jegede, N., Dopson, S., Biggerstaff, M., Reed, C., Uzicanin, A., CDC Community Mitigation Guidelines Work Group, Levitt, A., et al. (2017) · MMWR. Recommendations and Reports · doi:10.15585/mmwr.rr6601a1 · Cited by 471
Taking control amidst the chaos: emotion regulation during the COVID-19 pandemic.
Restubog, S. L. D., Ocampo, A. C. G., & Wang, L. (2020) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2020.103440 · Cited by 419
Metadata
- Authors
- Kelso, J. K., Milne, G. J., & Kelly, H.
- Venue
- BMC Public Health
- Published
- 2009-04-29
- Volume
- 9
- Issue
- 1
- Pages
- 117-117
- ISSN
- 1471-2458 (ISSN-L)
- OpenAlex
- W2061129444
- Cited by
- 260
- References
- 1
- FWCI
- 11.10
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kelso, J. K., Milne, G. J., & Kelly, H. (2009). Simulation suggests that rapid activation of social distancing can arrest epidemic development due to a novel strain of influenza. BMC Public Health. https://doi.org/10.1186/1471-2458-9-117
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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