Superspreading, overdispersion and their implications in the SARS-CoV-2 (COVID-19) pandemic: a systematic review and meta-analysis of the literature

Abstract Background A recurrent feature of infectious diseases is the observation that different individuals show different levels of secondary transmission. This inter-individual variation in transmission potential is often quantified by the dispersion parameter k. Low values of k indicate a high d...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Oliver Wegehaupt (लेखक), Akira Endo (लेखक), Anna Vassall (लेखक)
स्वरूप: पुस्तक
प्रकाशित: BMC, 2023-05-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Oliver Wegehaupt  |e author 
700 1 0 |a Akira Endo  |e author 
700 1 0 |a Anna Vassall  |e author 
245 0 0 |a Superspreading, overdispersion and their implications in the SARS-CoV-2 (COVID-19) pandemic: a systematic review and meta-analysis of the literature 
260 |b BMC,   |c 2023-05-01T00:00:00Z. 
500 |a 10.1186/s12889-023-15915-1 
500 |a 1471-2458 
520 |a Abstract Background A recurrent feature of infectious diseases is the observation that different individuals show different levels of secondary transmission. This inter-individual variation in transmission potential is often quantified by the dispersion parameter k. Low values of k indicate a high degree of variability and a greater probability of superspreading events. Understanding k for COVID-19 across contexts can assist policy makers prepare for future pandemics. Methods A literature search following a systematic approach was carried out in PubMed, Embase, Web of Science, Cochrane Library, medRxiv, bioRxiv and arXiv to identify publications containing epidemiological findings on superspreading in COVID-19. Study characteristics, epidemiological data, including estimates for k and R0, and public health recommendations were extracted from relevant records. Results The literature search yielded 28 peer-reviewed studies. The mean k estimates ranged from 0.04 to 2.97. Among the 28 studies, 93% reported mean k estimates lower than one, which is considered as marked heterogeneity in inter-individual transmission potential. Recommended control measures were specifically aimed at preventing superspreading events. The combination of forward and backward contact tracing, timely confirmation of cases, rapid case isolation, vaccination and preventive measures were suggested as important components to suppress superspreading. Conclusions Superspreading events were a major feature in the pandemic of SARS-CoV-2. On the one hand, this made outbreaks potentially more explosive but on the other hand also more responsive to public health interventions. Going forward, understanding k is critical for tailoring public health measures to high-risk groups and settings where superspreading events occur. 
546 |a EN 
690 |a SARS-CoV-2 
690 |a COVID-19 
690 |a Superspreading 
690 |a Overdispersion 
690 |a Secondary transmission 
690 |a Transmission pattern 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 23, Iss 1, Pp 1-22 (2023) 
787 0 |n https://doi.org/10.1186/s12889-023-15915-1 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/eaefb2741b2744648b5593258f5de11f  |z Connect to this object online.