Calculating the serial interval of SARS-CoV-2 in Lebanon using 2020 contact-tracing data
Rattachement africain : cy, lb, sg, gb. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
INTRODUCTION: The first detected case in Lebanon on 21 February 2020 engendered implementation of a nationwide lockdown alongside timely contact-tracing and testing. OBJECTIVES: Our study aims to calculate the serial interval of SARS-CoV-2 using contact tracing data collected 21 February to 30 June 2020 in Lebanon to guide testing strategies. METHODS: rRT-PCR positive COVID-19 cases reported to the Ministry of Public Health Epidemiological Surveillance Program (ESU-MOH) are rapidly investigated and identified contacts tested. Positive cases and contacts assigned into chains of transmission during the study time-period were verified to identify those symptomatic, with non-missing date-of-onset and reported source of exposure. Selected cases were classified in infector-infectee pairs. We calculated mean and standard deviation for the serial interval and best distribution fit using AIC criterion. RESULTS: Of a total 1788 positive cases reported, we included 103 pairs belonging to 24 chains of transmissions. Most cases were Lebanese (98%) and male (63%). All infectees acquired infection locally. Mean serial interval was 5.24 days, with a standard deviation of 3.96 and a range of - 4 to 16 days. Normal distribution was an acceptable fit for our non-truncated data. CONCLUSION: Timely investigation and social restriction measures limited recall and reporting biases. Pre-symptomatic transmission up to 4 days prior to symptoms onset was documented among close contacts. Our SI estimates, in line with international literature, provided crucial information that fed into national contact tracing measures. Our study, demonstrating the value of contact-tracing data for evidence-based response planning, can help inform national responses in other countries.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Calculating the serial interval of SARS-CoV-2 in Lebanon using 2020 contact-tracing data
- Date Crossref
- 11/10/2021
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Cyprus University of Technology Cyprus International Institute for Water and Health Laboratory pays non établi dans la noticeUniversité ou école supérieure
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Ministry of Public Health Epidemiological Surveillance Programme pays non établi dans la noticeOrganisme public
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National University of Singapore pays non établi dans la noticeUniversité ou école supérieure
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London School of Hygiene & Tropical Medicine pays non établi dans la noticeUniversité ou école supérieure
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World Health Organization - Lebanon pays non établi dans la noticeOrganisme public
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Saw Swee Hock School of Public Health pays non établi dans la noticeUniversité ou école supérieure
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London School of Hygiene and Tropical Medicine Department of Global Health and Development pays non établi dans la noticeUniversité ou école supérieure
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Lebanon Country Office pays non établi dans la noticeInstitution
Cyprus International Institute for Water and Health Laboratory — Cyprus University of Technology, Epidemiological Surveillance Programme — Ministry of Public Health et National University of Singapore, avec 5 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.