Evidence map›Paper›PMID 32817975›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2.

Kaiyuan Sun, Wei Wang, Lidong Gao, Yan Wang, Kaiwei Luo, Lingshuang Ren, Zhifei Zhan, Xinghui Chen, Shanlu Zhao, Yiwei Huang and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 85 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 3 countries.

Kaiyuan Sun
Wei Wang
Lidong Gao
Yan Wang
Kaiwei Luo
Lingshuang Ren
Zhifei Zhan
Xinghui Chen
Shanlu Zhao
Yiwei Huang
Qianlai Sun
Ziyan Liu
Maria Litvinova
Alessandro Vespignani
Marco Ajelli
Cécile Viboud
Hongjie Yu
Hunan Provincial Center for Disease Control and Prevention · CNFudan University · CNNational Institutes of Health · USNortheastern University · USInstitute for Scientific Interchange · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A long-standing question in infectious disease dynamics concerns the role of transmission heterogeneities, driven by demography, behavior and interventions. Based on detailed patient and contact tracing data in Hunan, China we find 80% of secondary infections traced back to 15% of SARS-CoV-2 primary infections, indicating substantial transmission heterogeneities. Transmission risk scales positively with the duration of exposure and the closeness of social interactions and is modulated by demographic and clinical factors. The lockdown period increases transmission risk in the family and households, while isolation and quarantine reduce risks across all types of contacts. The reconstructed infectiousness profile of a typical SARS-CoV-2 patient peaks just before symptom presentation. Modeling indicates SARS-CoV-2 control requires the synergistic efforts of case isolation, contact quarantine, and population-level interventions, owing to the specific transmission kinetics of this virus. ONE SENTENCE SUMMARY: Public health measures to control SARS-CoV-2 could be designed to block the specific transmission characteristics of the virus.

Identifiers

PMID32817975
PMCPMC7430620
OpenAlexW3048874187

What OpenQuestion holds

Textmetadata
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.