Evidence map›Paper›PMID 36776461›Full record

ArticleChina CDC weekly2023

Transmission Dynamics and Epidemiological Characteristics of the SARS-CoV-2 Delta Variant - Hunan Province, China, 2021.

Kaiwei Luo, Yanpeng Wu, Yan Wang, Ziyan Liu, Lan Yi, Shanlu Zhao, Xuemei Yan, Hao Yang, Kaiyuan Sun, Marco Ajelli and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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

12 authors.

Kaiwei LuoHunan Provincial Center for Disease Control and Prevention;Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Changsha City, Hunan Province, China.
Yanpeng WuShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai Municipality, China.
Yan WangSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai Municipality, China.
Ziyan LiuHunan Provincial Center for Disease Control and Prevention;Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Changsha City, Hunan Province, China.
Lan YiShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai Municipality, China.
Shanlu ZhaoHunan Provincial Center for Disease Control and Prevention;Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Changsha City, Hunan Province, China.
Xuemei YanSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai Municipality, China.
Hao YangHunan Provincial Center for Disease Control and Prevention;Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Changsha City, Hunan Province, China.
Kaiyuan SunDivision of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
Marco AjelliLaboratory of Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
Shixiong HuHunan Provincial Center for Disease Control and Prevention;Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Changsha City, Hunan Province, China.
Hongjie YuShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai Municipality, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Little is known about the epidemiology, natural history, and transmission patterns of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Delta variant. Monitoring the evolution of viral fitness of SARS-CoV-2 in the host population is key for preparedness and response planning. What is added by this report?: We analyzed a successfully contained local outbreak of Delta that took place in Hunan, China, and provided estimates of time-to-key event periods, infectiousness over time, and risk factors for SARS-CoV-2 infection and transmission for a still poorly understood variant. What are the implications for public health practice?: Our findings simultaneously shed light on both the characteristics of the Delta variant, by identifying key age groups, risk factors, and transmission pathways, and planning a future response effort against SARS-CoV-2.

Indexed as

Delta variantepidemiological characteristicsTransmission dynamics

Identifiers

PMID36776461
PMCPMC9902755

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.