Evidence map›Paper›PMID 36934643›Full record

Observational studyJournal of infection and public health2023

Superspreading potentials of SARS-CoV-2 Delta variants across different contact settings in Eastern China: A retrospective observational study.

Kai Wang, Zemin Luan, Zihao Guo, Hao Lei, Ting Zeng, Lin Yu, Hujiaojiao Li, Maozai Tian, Jinjun Ran, Shi Zhao

Abstract readObservational Study
In one paragraph

Observational study in Journal of infection and public health, 2023. 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.

No citing paper in PubMed yet.

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

10 authors.

Kai WangState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, China. Electronic address: wangkaimath@sina.com.
Zemin LuanSchool of Public Health, Xinjiang Medical University, Urumqi 830017, China.
Zihao GuoJC School of Public Health and Primary Care, Chinese University of Hong Kong, 999077, Hong Kong SAR, China.
Hao LeiSchool of Public Health, Zhejiang University, Hangzhou 310058, China.
Ting ZengSchool of Public Health, Xinjiang Medical University, Urumqi 830017, China.
Lin YuFaculty of Arts and Sciences, University of Toronto, Toronto, Ontario, Canada.
Hujiaojiao LiFaculty of Arts and Sciences, University of Toronto, Toronto, Ontario, Canada.
Maozai TianState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, China.
Jinjun RanSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Shi ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing 100069, China; Centre for Health Systems and Policy Research, Chinese University of Hong Kong, 999077, Hong Kong SAR, China. Electronic address: zhaoshi.cmsa@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAs the genetic variants of SARS-CoV-2 continuously pose threats to global health, evaluating superspreading potentials of emerging genetic variants is of importance for region-wide control of COVID-19 outbreaks.

methodsBy using detailed epidemiological contact tracing data of test-positive COVID-19 cases collected between July and August 2021 in Nanjing and Yangzhou, China, we assessed the superspreading potential of outbreaks seeded by SARS-CoV-2 Delta variants. The transmission chains and case-clusters were constructed according to the individual-based surveillance data. We modelled the disease transmission as a classic branching process with transmission heterogeneity governed by negative binomial models. Subgroup analysis was conducted by different contact settings and age groups.

resultsWe reported a considerable heterogeneity in the contact patterns and transmissibility of Delta variants in eastern China. We estimated an expected 14% (95% CI: 11-16%) of the most infectious cases generated 80% of the total transmission.

conclusionsDelta variants demonstrated a significant potential of superspreading under strict control measures and active COVID-19 detecting efforts. Enhancing the surveillance on disease transmissibility especially in high-risk settings, along with rapid contact tracing and case isolations would be one of the key factors to mitigate the epidemic caused by the emerging genetic variants of SARS-CoV-2.

Indexed as

COVID-19SARS-CoV-2ChinaDisease OutbreaksHumansChinaContact tracingCOVID-19Delta variantSuperspreading

Identifiers

PMID36934643
PMCPMC9985516

What OpenQuestion holds

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Registered trials

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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.