Epidemiology, transmission dynamics and control of SARS: the 2002–2003 epidemic | Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences https://t.co/Ko8XbiWbNB
Epidemiology, transmission dynamics and control of SARS: the 2002-2003 epidemic.
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Jan 2020 – Nov 2021Where it's discussed
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Discussions highlight the value of epidemiological data and models, with comments referencing specific studies such as the case rates for Hong Kong and the age dependence of CFR, using technical language that suggests a moderate level of engagement and interest, emphasizing the importance of data-driven strategies for disease control.
Most discussions agree with the importance of epidemiological details and data in controlling SARS, especially recognizing the variability in case fatality rates and the role of age.
Participants show moderate interest by referencing specific studies and suggesting further data collection, indicating engagement beyond surface level.
Comments involve some in-depth references to scientific studies and data like case rates and CFR, showing active participation but not extensive debate.
While the dialogues acknowledge the significance of epidemiological insights, they do not evidently influence broader public health actions directly within these discussions.
Abstract in brief
- The paper discusses how SARS spread and was controlled during the 2002-2003 epidemic, highlighting that its low transmissibility and peak infectiousness after symptoms appeared made simple measures like isolating patients and quarantining contacts very effective.
- It emphasizes that understanding key epidemiological parameters and data analysis was crucial in forming public health policies to control the outbreak, while also noting that luck played a role in the success of these measures.
- The authors caution that future outbreaks of novel infectious agents might not be as easily contained, stressing the importance of applying lessons learned from SARS to improve preparedness and intervention strategies for new epidemics.]
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Most liked on X and Bluesky@cmyeaton @richardneher @FabiKrauer @marcelsalathe @SunKaiyuan @firefoxx66 I agree. The CFR of SARS2003 was strongly age dependent (from https://t.co/DNQNQg0nUO) It would be easy to imagine that symptoms and ascertainment scale similarly. Though data would be better than assumptions. Similar data needed for nCov. https://t.co/zKAZ7gQGRS
@JonathanKBall Anderson, Ferguson et al ProcRS 2004 has this case rate for HK https://t.co/XUQJF2NVO5 (I think total reported cases over the episode was 8000) https://t.co/ErYdsCqzRp
@Think_753 @nolescreas Mira te voy a dejar un estudios y me voy a ir porque eres cansas hasta a las moscas con la excusa de las falacias para victimizarte sin decir nada. Si estás interesado en más te puedo decir bases de datos útiles. https://t.co/2Lt7yoynkA
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@Think_753 @nolescreas Mira te voy a dejar un estudios y me voy a ir porque eres cansas hasta a las moscas con la excusa de las falacias para victimizarte sin decir nada. Si estás interesado en más te puedo decir bases de datos útiles. https://t.co/2Lt7yoynkA
Epidemiology, transmission dynamics and control of SARS: the 2002–2003 epidemic | Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences https://t.co/Ko8XbiWbNB
@cmyeaton @richardneher @FabiKrauer @marcelsalathe @SunKaiyuan @firefoxx66 I agree. The CFR of SARS2003 was strongly age dependent (from https://t.co/DNQNQg0nUO) It would be easy to imagine that symptoms and ascertainment scale similarly. Though data would be better than assumptions. Similar data needed for nCov. https://t.co/zKAZ7gQGRS
@JonathanKBall Anderson, Ferguson et al ProcRS 2004 has this case rate for HK https://t.co/XUQJF2NVO5 (I think total reported cases over the episode was 8000) https://t.co/ErYdsCqzRp
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