Evidence map›Paper›PMID 39147778›Full record

ArticleNature communications2024

Molecular epidemiology and population immunity of SARS-CoV-2 in Guangdong (2022-2023) following a pivotal shift in the pandemic.

Zhencui Li, Pei Hu, Lin Qu, Mingda Yang, Ming Qiu, Chunyan Xie, Haiyi Yang, Jiadian Cao, Lina Yi, Zhe Liu and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. China's post-zero-COVID Omicron wave: A Bayesian analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
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

22 authors.

Zhencui Li *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Pei Hu *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Lin Qu *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.ORCID 0000-0001-5957-2132
Mingda Yang *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Ming Qiu *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Chunyan XieGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Haiyi YangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Jiadian CaoGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.ORCID 0009-0004-5433-0993
Lina YiGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Zhe LiuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Lirong ZouGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Huimin LianGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Huiling ZengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Shaojian XuLonghua District Center for Disease Control and Prevention, Shenzhen, Guangdong, China.
Pengwei HuNanshan District Center for Disease Control and Prevention, Shenzhen, Guangdong, China.
Jiufeng SunGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.ORCID 0000-0003-1047-929X
Jianfeng HeGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.ORCID 0000-0001-8136-2692
Liang ChenGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Ying YangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China.
Baisheng LiGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China. libsn@126.com.ORCID 0000-0003-1842-316X
Limei SunGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China. 1197599780@qq.com.ORCID 0009-0007-2683-1928
Jing LuGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China. Jimlu0331@163.com.ORCID 0000-0002-7559-6123

Funding

Guangdong Science and Technology Department (Science and Technology Department, Guangdong Province) 2023A1515011927
6 · The paper itself

Abstract

The SARS-CoV-2 Omicron variant sparked the largest wave of infections worldwide. Mainland China eased its strict COVID-19 measures in late 2022 and experienced two nationwide Omicron waves in 2023. Here, we investigated lineage distribution and virus evolution in Guangdong, China, 2022-2023 by comparing 5813 local viral genomes with the datasets from other regions of China and worldwide. Additionally, we conducted three large-scale serological surveys involving 1696 participants to measure their immune response to the BA.5 and XBB.1.9 before and after the corresponding waves. Our findings revealed the Omicron variants, mainly the BA.5.2.48 lineage, causing infections in over 90% of individuals across different age groups within a month. This rapid spread led to the establishment of widespread immunity, limiting the virus's ability to further adaptive mutation and dissemination. While similar immune responses to BA.5 were observed across all age groups after the initial wave, children aged 3 to 11 developed a stronger cross immune response to the XBB.1.9 strain, possibly explaining their lower infection rates in the following XBB.1 wave. Reinfection with Omicron XBB.1 variant triggered a more potent neutralizing immune response among older adults. These findings highlight the impact of age-specific immune responses on viral spread in potential future waves.

Indexed as

COVID-19Genome, ViralSARS-CoV-2AdolescentAdultAgedAntibodies, ViralChildChild, PreschoolChinaFemaleHumansInfantMaleMiddle AgedMolecular EpidemiologyAntibodies, Viral

Identifiers

PMID39147778
PMCPMC11327343

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.