Evidence map›Paper›PMID 32330439›Full record

ArticleThe Lancet. Infectious diseases2020

Connecting clusters of COVID-19: an epidemiological and serological investigation.

Sarah Ee Fang Yong, Danielle Elizabeth Anderson, Wycliffe E Wei, Junxiong Pang, Wan Ni Chia, Chee Wah Tan, Yee Leong Teoh, Priyanka Rajendram, Matthias Paul Han Sim Toh, Cuiqin Poh and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 3 pooled it
7.2field-weighted citation impact, top 2% of its field
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

149 citing papers in PubMed, 3 syntheses or guidelines pooled it, 294 citations in OpenAlex.

  1. Pooled it
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  4. Trial
  5. Acute SARS-CoV-2 infection.Nature reviews. Disease primers · 2025
    Review
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  12. Real-time updating of dynamic social networks for COVID-19 vaccination strategies.Journal of ambient intelligence and humanized computing · 2023
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89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 1 country.

Sarah Ee Fang YongMinistry of Health, Singapore; National University Health System, Singapore.
Danielle Elizabeth AndersonProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore.
Wycliffe E WeiMinistry of Health, Singapore; National Centre for Infectious Diseases, Singapore.
Junxiong PangCentre for Infectious Disease Epidemiology and Research, Singapore; Saw Swee Hock School of Public Health, Singapore.
Wan Ni ChiaProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore.
Chee Wah TanProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore.
Yee Leong TeohSaw Swee Hock School of Public Health, Singapore; Singapore Clinical Research Institute, Singapore; Ministry of Health Office for Healthcare Transformation, Singapore.
Priyanka RajendramMinistry of Health, Singapore.
Matthias Paul Han Sim TohNational Centre for Infectious Diseases, Singapore; Saw Swee Hock School of Public Health, Singapore.
Cuiqin PohMinistry of Health, Singapore.
Valerie T J KohMinistry of Health, Singapore.
Joshua LumMinistry of Health, Singapore.
Nur-Afidah Md SuhaimiMinistry of Health, Singapore.
Po Ying ChiaNational Centre for Infectious Diseases, Singapore; Tan Tock Seng Hospital, Singapore.
Mark I-Cheng ChenNational Centre for Infectious Diseases, Singapore; Saw Swee Hock School of Public Health, Singapore.
Shawn VasooNational Centre for Infectious Diseases, Singapore; Tan Tock Seng Hospital, Singapore.
Benjamin OngMinistry of Health, Singapore; National University Health System, Singapore; National University of Singapore, Singapore.
Yee Sin LeoNational Centre for Infectious Diseases, Singapore; Tan Tock Seng Hospital, Singapore.
Linfa WangProgramme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore.
Vernon J M LeeMinistry of Health, Singapore; Saw Swee Hock School of Public Health, Singapore. Electronic address: vernon_lee@moh.gov.sg.
Ministry of Health · SGNational University of Singapore · SGNational Centre for Infectious Diseases · SGTan Tock Seng Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElucidation of the chain of disease transmission and identification of the source of coronavirus disease 2019 (COVID-19) infections are crucial for effective disease containment. We describe an epidemiological investigation that, with use of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serological assays, established links between three clusters of COVID-19.

methodsIn Singapore, active case-finding and contact tracing were undertaken for all COVID-19 cases. Diagnosis for acute disease was confirmed with RT-PCR testing. When epidemiological information suggested that people might have been nodes of disease transmission but had recovered from illness, SARS-CoV-2 IgG serology testing was used to establish past infection.

findingsThree clusters of COVID-19, comprising 28 locally transmitted cases, were identified in Singapore; these clusters were from two churches (Church A and Church B) and a family gathering. The clusters in Church A and Church B were linked by an individual from Church A (A2), who transmitted SARS-CoV-2 infection to the primary case from Church B (F1) at a family gathering they both attended on Jan 25, 2020. All cases were confirmed by RT-PCR testing because they had active disease, except for A2, who at the time of testing had recovered from their illness and tested negative. This individual was eventually diagnosed with past infection by serological testing. ELISA assays showed an optical density of more than 1·4 for SARS-CoV-2 nucleoprotein and receptor binding domain antigens in titres up to 1/400, and viral neutralisation was noted in titres up to 1/320.

interpretationDevelopment and application of a serological assay has helped to establish connections between COVID-19 clusters in Singapore. Serological testing can have a crucial role in identifying convalescent cases or people with milder disease who might have been missed by other surveillance methods.

fundingNational Research Foundation (Singapore), National Natural Science Foundation (China), and National Medical Research Council (Singapore).

Indexed as

BetacoronavirusCluster AnalysisContact TracingCoronavirus InfectionsCOVID-19HumansImmunoglobulin GPandemicsPneumonia, ViralPopulation SurveillanceSARS-CoV-2Serologic TestsSingaporeImmunoglobulin G

Identifiers

PMID32330439
PMCPMC7173813
OpenAlexW3016586571

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.