Evidence map›Paper›PMID 32820074›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Characterizing superspreading events and age-specific infectiousness of SARS-CoV-2 transmission in Georgia, USA.

Max S Y Lau, Bryan Grenfell, Michael Thomas, Michael Bryan, Kristin Nelson, Ben Lopman

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

133 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. The role of children in household transmission of COVID-19: a systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
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  9. Superspreading and the evolution of virulence.PLoS computational biology · 2025
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73 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Max S Y LauDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322; msy.lau@emory.edu.
Bryan GrenfellDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544.
Michael ThomasGeorgia Department of Public Health, Atlanta, GA 30303.
Michael BryanGeorgia Department of Public Health, Atlanta, GA 30303.ORCID 0000-0003-2912-515X
Kristin NelsonDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322.
Ben LopmanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322.

Funding

Population-based survey of SARS-CoV-2 infection and immune responseR01AI143875 · NIAID · EMORY UNIVERSITY · PI SIEGLER, AARON JULIUS, SULLIVAN, PATRICK SEAN · 2019 to 2023
$9.2M
Preparing for the SARS-CoV2 vaccine: Modeling of transmission pathways, viral evolution and vaccination strategiesR01GM124280 · NIGMS · EMORY UNIVERSITY · PI LOPMAN, BENJAMIN A · 2018 to 2022
$2.2M
NIAID NIH HHS 3R01AI143875-02S1NIAID NIH HHS R01 AI143875NIGMS NIH HHS 3R01GM124280-03S1NIGMS NIH HHS R01 GM124280
6 · The paper itself

Abstract

It is imperative to advance our understanding of heterogeneities in the transmission of SARS-CoV-2 such as age-specific infectiousness and superspreading. To this end, it is important to exploit multiple data streams that are becoming abundantly available during the pandemic. In this paper, we formulate an individual-level spatiotemporal mechanistic framework to integrate individual surveillance data with geolocation data and aggregate mobility data, enabling a more granular understanding of the transmission dynamics of SARS-CoV-2. We analyze reported cases, between March and early May 2020, in five (urban and rural) counties in the state of Georgia. First, our results show that the reproductive number reduced to below one in about 2 wk after the shelter-in-place order. Superspreading appears to be widespread across space and time, and it may have a particularly important role in driving the outbreak in rural areas and an increasing importance toward later stages of outbreaks in both urban and rural settings. Overall, about 2% of cases were directly responsible for 20% of all infections. We estimate that the infected nonelderly cases (<60 y) may be 2.78 [2.10, 4.22] times more infectious than the elderly, and the former tend to be the main driver of superspreading. Our results improve our understanding of the natural history and transmission dynamics of SARS-CoV-2. More importantly, we reveal the roles of age-specific infectiousness and characterize systematic variations and associated risk factors of superspreading. These have important implications for the planning of relaxing social distancing and, more generally, designing optimal control measures.

Indexed as

Basic Reproduction NumberBetacoronavirusContact TracingCoronavirus InfectionsCOVID-19Disease Transmission, InfectiousGeorgiaHumansPandemicsPneumonia, ViralRisk FactorsSARS-CoV-2age-specific infectiousnessmobility dataSARS-CoV-2social distancingsuperspreading

Identifiers

PMID32820074
PMCPMC7486752

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.