Serveur d'exploration sur la Covid et les espaces publics

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

Identifieur interne : 000190 ( Main/Exploration ); précédent : 000189; suivant : 000191

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

Auteurs : Sarah Ee Fang Yong [Singapour] ; Danielle Elizabeth Anderson [Singapour] ; Wycliffe E. Wei [Singapour] ; Junxiong Pang [Singapour] ; Wan Ni Chia [Singapour] ; Chee Wah Tan [Singapour] ; Yee Leong Teoh [Singapour] ; Priyanka Rajendram [Singapour] ; Matthias Paul Han Sim Toh [Singapour] ; Cuiqin Poh [Singapour] ; Valerie T J. Koh [Singapour] ; Joshua Lum [Singapour] ; Nur-Afidah Md Suhaimi [Singapour] ; Po Ying Chia [Singapour] ; Mark I-Cheng Chen [Singapour] ; Shawn Vasoo [Singapour] ; Benjamin Ong [Singapour] ; Yee Sin Leo [Singapour] ; Linfa Wang [Singapour] ; Vernon J M. Lee [Singapour]

Source :

RBID : pubmed:32330439

Descripteurs français

English descriptors

Abstract

BACKGROUND

Elucidation 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.

METHODS

In 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.

FINDINGS

Three 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.

INTERPRETATION

Development 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.

FUNDING

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


DOI: 10.1016/S1473-3099(20)30273-5
PubMed: 32330439
PubMed Central: PMC7173813


Affiliations:


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<name sortKey="Anderson, Danielle Elizabeth" sort="Anderson, Danielle Elizabeth" uniqKey="Anderson D" first="Danielle Elizabeth" last="Anderson">Danielle Elizabeth Anderson</name>
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<name sortKey="Wei, Wycliffe E" sort="Wei, Wycliffe E" uniqKey="Wei W" first="Wycliffe E" last="Wei">Wycliffe E. Wei</name>
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<nlm:affiliation>Ministry of Health, Singapore; National Centre for Infectious Diseases, Singapore.</nlm:affiliation>
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<nlm:affiliation>Centre for Infectious Disease Epidemiology and Research, Singapore; Saw Swee Hock School of Public Health, Singapore.</nlm:affiliation>
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<name sortKey="Chia, Wan Ni" sort="Chia, Wan Ni" uniqKey="Chia W" first="Wan Ni" last="Chia">Wan Ni Chia</name>
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<nlm:affiliation>Programme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore.</nlm:affiliation>
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<name sortKey="Tan, Chee Wah" sort="Tan, Chee Wah" uniqKey="Tan C" first="Chee Wah" last="Tan">Chee Wah Tan</name>
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<name sortKey="Teoh, Yee Leong" sort="Teoh, Yee Leong" uniqKey="Teoh Y" first="Yee Leong" last="Teoh">Yee Leong Teoh</name>
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<name sortKey="Toh, Matthias Paul Han Sim" sort="Toh, Matthias Paul Han Sim" uniqKey="Toh M" first="Matthias Paul Han Sim" last="Toh">Matthias Paul Han Sim Toh</name>
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<name sortKey="Chia, Po Ying" sort="Chia, Po Ying" uniqKey="Chia P" first="Po Ying" last="Chia">Po Ying Chia</name>
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<name sortKey="Vasoo, Shawn" sort="Vasoo, Shawn" uniqKey="Vasoo S" first="Shawn" last="Vasoo">Shawn Vasoo</name>
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<nlm:affiliation>National Centre for Infectious Diseases, Singapore; Tan Tock Seng Hospital, Singapore.</nlm:affiliation>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>National Centre for Infectious Diseases, Singapore; Tan Tock Seng Hospital</wicri:regionArea>
<wicri:noRegion>Singapore; Tan Tock Seng Hospital</wicri:noRegion>
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<name sortKey="Ong, Benjamin" sort="Ong, Benjamin" uniqKey="Ong B" first="Benjamin" last="Ong">Benjamin Ong</name>
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<nlm:affiliation>Ministry of Health, Singapore; National University Health System, Singapore; National University of Singapore, Singapore.</nlm:affiliation>
<country xml:lang="fr">Singapour</country>
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<name sortKey="Leo, Yee Sin" sort="Leo, Yee Sin" uniqKey="Leo Y" first="Yee Sin" last="Leo">Yee Sin Leo</name>
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<nlm:affiliation>National Centre for Infectious Diseases, Singapore; Tan Tock Seng Hospital, Singapore.</nlm:affiliation>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>National Centre for Infectious Diseases, Singapore; Tan Tock Seng Hospital</wicri:regionArea>
<wicri:noRegion>Singapore; Tan Tock Seng Hospital</wicri:noRegion>
</affiliation>
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<name sortKey="Wang, Linfa" sort="Wang, Linfa" uniqKey="Wang L" first="Linfa" last="Wang">Linfa Wang</name>
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<nlm:affiliation>Programme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, Singapore.</nlm:affiliation>
<country xml:lang="fr">Singapour</country>
<wicri:regionArea>Programme in Emerging Infectious Diseases, Duke-National University of Singapore Medical School</wicri:regionArea>
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<name sortKey="Lee, Vernon J M" sort="Lee, Vernon J M" uniqKey="Lee V" first="Vernon J M" last="Lee">Vernon J M. Lee</name>
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<term>Betacoronavirus (MeSH)</term>
<term>COVID-19 (MeSH)</term>
<term>Cluster Analysis (MeSH)</term>
<term>Contact Tracing (MeSH)</term>
<term>Coronavirus Infections (blood)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (immunology)</term>
<term>Humans (MeSH)</term>
<term>Immunoglobulin G (blood)</term>
<term>Immunoglobulin G (immunology)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (blood)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (immunology)</term>
<term>Population Surveillance (MeSH)</term>
<term>SARS-CoV-2 (MeSH)</term>
<term>Serologic Tests (MeSH)</term>
<term>Singapore (epidemiology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Analyse de regroupements (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Immunoglobuline G (immunologie)</term>
<term>Immunoglobuline G (sang)</term>
<term>Infections à coronavirus (immunologie)</term>
<term>Infections à coronavirus (sang)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (immunologie)</term>
<term>Pneumopathie virale (sang)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Singapour (épidémiologie)</term>
<term>Surveillance de la population (MeSH)</term>
<term>Tests sérologiques (MeSH)</term>
<term>Traçage des contacts (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="blood" xml:lang="en">
<term>Immunoglobulin G</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en">
<term>Singapore</term>
</keywords>
<keywords scheme="MESH" qualifier="blood" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="immunologie" xml:lang="fr">
<term>Immunoglobuline G</term>
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="immunology" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Immunoglobulin G</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr">
<term>Immunoglobuline G</term>
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Singapour</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Betacoronavirus</term>
<term>COVID-19</term>
<term>Cluster Analysis</term>
<term>Contact Tracing</term>
<term>Humans</term>
<term>Pandemics</term>
<term>Population Surveillance</term>
<term>SARS-CoV-2</term>
<term>Serologic Tests</term>
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<term>Analyse de regroupements</term>
<term>Betacoronavirus</term>
<term>Humains</term>
<term>Pandémies</term>
<term>Surveillance de la population</term>
<term>Tests sérologiques</term>
<term>Traçage des contacts</term>
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<b>BACKGROUND</b>
</p>
<p>Elucidation 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.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS</b>
</p>
<p>In 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.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>FINDINGS</b>
</p>
<p>Three 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.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>INTERPRETATION</b>
</p>
<p>Development 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.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>FUNDING</b>
</p>
<p>National Research Foundation (Singapore), National Natural Science Foundation (China), and National Medical Research Council (Singapore).</p>
</div>
</front>
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<AbstractText Label="FINDINGS">Three 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.</AbstractText>
<AbstractText Label="INTERPRETATION">Development 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.</AbstractText>
<AbstractText Label="FUNDING">National Research Foundation (Singapore), National Natural Science Foundation (China), and National Medical Research Council (Singapore).</AbstractText>
<CopyrightInformation>Copyright © 2020 Elsevier Ltd. All rights reserved.</CopyrightInformation>
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<ForeName>Sarah Ee Fang</ForeName>
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