Cargando…
Calculating the serial interval of SARS-CoV-2 in Lebanon using 2020 contact-tracing data
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...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502789/ https://www.ncbi.nlm.nih.gov/pubmed/34635093 http://dx.doi.org/10.1186/s12879-021-06761-w |
_version_ | 1784580965822103552 |
---|---|
author | Haddad, Nadine Clapham, Hannah Eleanor Abou Naja, Hala Saleh, Majd Farah, Zeina Ghosn, Nada Mrad, Pamela Howard, Natasha |
author_facet | Haddad, Nadine Clapham, Hannah Eleanor Abou Naja, Hala Saleh, Majd Farah, Zeina Ghosn, Nada Mrad, Pamela Howard, Natasha |
author_sort | Haddad, Nadine |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06761-w. |
format | Online Article Text |
id | pubmed-8502789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85027892021-10-12 Calculating the serial interval of SARS-CoV-2 in Lebanon using 2020 contact-tracing data Haddad, Nadine Clapham, Hannah Eleanor Abou Naja, Hala Saleh, Majd Farah, Zeina Ghosn, Nada Mrad, Pamela Howard, Natasha BMC Infect Dis Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06761-w. BioMed Central 2021-10-11 /pmc/articles/PMC8502789/ /pubmed/34635093 http://dx.doi.org/10.1186/s12879-021-06761-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Haddad, Nadine Clapham, Hannah Eleanor Abou Naja, Hala Saleh, Majd Farah, Zeina Ghosn, Nada Mrad, Pamela Howard, Natasha Calculating the serial interval of SARS-CoV-2 in Lebanon using 2020 contact-tracing data |
title | Calculating the serial interval of SARS-CoV-2 in Lebanon using 2020 contact-tracing data |
title_full | Calculating the serial interval of SARS-CoV-2 in Lebanon using 2020 contact-tracing data |
title_fullStr | Calculating the serial interval of SARS-CoV-2 in Lebanon using 2020 contact-tracing data |
title_full_unstemmed | Calculating the serial interval of SARS-CoV-2 in Lebanon using 2020 contact-tracing data |
title_short | Calculating the serial interval of SARS-CoV-2 in Lebanon using 2020 contact-tracing data |
title_sort | calculating the serial interval of sars-cov-2 in lebanon using 2020 contact-tracing data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502789/ https://www.ncbi.nlm.nih.gov/pubmed/34635093 http://dx.doi.org/10.1186/s12879-021-06761-w |
work_keys_str_mv | AT haddadnadine calculatingtheserialintervalofsarscov2inlebanonusing2020contacttracingdata AT claphamhannaheleanor calculatingtheserialintervalofsarscov2inlebanonusing2020contacttracingdata AT abounajahala calculatingtheserialintervalofsarscov2inlebanonusing2020contacttracingdata AT salehmajd calculatingtheserialintervalofsarscov2inlebanonusing2020contacttracingdata AT farahzeina calculatingtheserialintervalofsarscov2inlebanonusing2020contacttracingdata AT ghosnnada calculatingtheserialintervalofsarscov2inlebanonusing2020contacttracingdata AT mradpamela calculatingtheserialintervalofsarscov2inlebanonusing2020contacttracingdata AT howardnatasha calculatingtheserialintervalofsarscov2inlebanonusing2020contacttracingdata |