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Identification of transmission chains and clusters associated with COVID-19 in Tunisia
BACKGROUND: The aim of this study was to characterize the transmission chains and clusters of COVID-19 infection in Tunisia. METHODS: All cases were confirmed by Reverse Transcriptase Polymerase Chain Reaction of a nasopharyngeal specimen. Contact tracing is undertaken for all confirmed cases in ord...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132040/ https://www.ncbi.nlm.nih.gov/pubmed/34011266 http://dx.doi.org/10.1186/s12879-021-06107-6 |
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author | Safer, Mouna Letaief, Hejer Hechaichi, Aicha Harizi, Chahida Dhaouadi, Sonia Bouabid, Leila Darouiche, Sondes Gharbi, Donia Elmili, Nawel Ben Salah, Hamida Hammami, Mongi Talmoudi, Khouloud Moussa, Rim Charaa, Nejib Termiz, Hasna Ltaief, Fethi Tounekti, Habib Makhlouf, Mohamed Belguith Sriha, Asma Ben Fredj, Manel Khalfallah, Sonia Jabrane, Houcine Mchirgui, Selma Amich, Chedli Dabghi, Radhia Anez, Zid Abdelkader, Latifa Mhamdi, Moncef Ouerfeli, Nabil Zoghlami, Salah Bougatef, Souha Chahed, Mohamed Kouni Bouafif Ben Alaya, Nissaf |
author_facet | Safer, Mouna Letaief, Hejer Hechaichi, Aicha Harizi, Chahida Dhaouadi, Sonia Bouabid, Leila Darouiche, Sondes Gharbi, Donia Elmili, Nawel Ben Salah, Hamida Hammami, Mongi Talmoudi, Khouloud Moussa, Rim Charaa, Nejib Termiz, Hasna Ltaief, Fethi Tounekti, Habib Makhlouf, Mohamed Belguith Sriha, Asma Ben Fredj, Manel Khalfallah, Sonia Jabrane, Houcine Mchirgui, Selma Amich, Chedli Dabghi, Radhia Anez, Zid Abdelkader, Latifa Mhamdi, Moncef Ouerfeli, Nabil Zoghlami, Salah Bougatef, Souha Chahed, Mohamed Kouni Bouafif Ben Alaya, Nissaf |
author_sort | Safer, Mouna |
collection | PubMed |
description | BACKGROUND: The aim of this study was to characterize the transmission chains and clusters of COVID-19 infection in Tunisia. METHODS: All cases were confirmed by Reverse Transcriptase Polymerase Chain Reaction of a nasopharyngeal specimen. Contact tracing is undertaken for all confirmed cases in order to identify close contacts that will be systematically screened and quarantined. Transmission chains were identified based on field investigation, contact tracing, results of screening tests and by assessing all probable mode of transmission and interactions. RESULTS: As of May 18, 2020, 656 cases out of a total of 1043 confirmed cases of Coronavirus disease 2019 belong to 127 transmission chains identified during the epidemic (mean age 42.36 years, Standard deviation 19.56 and sex ratio 0.86). The virus transmission is the most concentrated in the governorate of Tunis (31.5%), Ariana (10.2%) and Ben Arous (10.2%). Virus transmission occurred 50 times (9.72% of secondary transmission events) between two different governorates. A maximum of seven generations of secondary infection was identified, whereas 62% of these secondary infections belong the first generation. A total of 11 “super spreader” cases were identified in this investigation. Four large clusters have been identified. The evolution of secondary cases highlighted two peaks: one in 2nd April and a second in 16 (th) April whereas imported cases caused local transmission of virus during the early phase of the epidemic. CONCLUSION: Correct contact tracing and early active case finding is useful to identify transmission chains and source of infection in order to contain the widespread transmission in the community. |
format | Online Article Text |
id | pubmed-8132040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81320402021-05-19 Identification of transmission chains and clusters associated with COVID-19 in Tunisia Safer, Mouna Letaief, Hejer Hechaichi, Aicha Harizi, Chahida Dhaouadi, Sonia Bouabid, Leila Darouiche, Sondes Gharbi, Donia Elmili, Nawel Ben Salah, Hamida Hammami, Mongi Talmoudi, Khouloud Moussa, Rim Charaa, Nejib Termiz, Hasna Ltaief, Fethi Tounekti, Habib Makhlouf, Mohamed Belguith Sriha, Asma Ben Fredj, Manel Khalfallah, Sonia Jabrane, Houcine Mchirgui, Selma Amich, Chedli Dabghi, Radhia Anez, Zid Abdelkader, Latifa Mhamdi, Moncef Ouerfeli, Nabil Zoghlami, Salah Bougatef, Souha Chahed, Mohamed Kouni Bouafif Ben Alaya, Nissaf BMC Infect Dis Research Article BACKGROUND: The aim of this study was to characterize the transmission chains and clusters of COVID-19 infection in Tunisia. METHODS: All cases were confirmed by Reverse Transcriptase Polymerase Chain Reaction of a nasopharyngeal specimen. Contact tracing is undertaken for all confirmed cases in order to identify close contacts that will be systematically screened and quarantined. Transmission chains were identified based on field investigation, contact tracing, results of screening tests and by assessing all probable mode of transmission and interactions. RESULTS: As of May 18, 2020, 656 cases out of a total of 1043 confirmed cases of Coronavirus disease 2019 belong to 127 transmission chains identified during the epidemic (mean age 42.36 years, Standard deviation 19.56 and sex ratio 0.86). The virus transmission is the most concentrated in the governorate of Tunis (31.5%), Ariana (10.2%) and Ben Arous (10.2%). Virus transmission occurred 50 times (9.72% of secondary transmission events) between two different governorates. A maximum of seven generations of secondary infection was identified, whereas 62% of these secondary infections belong the first generation. A total of 11 “super spreader” cases were identified in this investigation. Four large clusters have been identified. The evolution of secondary cases highlighted two peaks: one in 2nd April and a second in 16 (th) April whereas imported cases caused local transmission of virus during the early phase of the epidemic. CONCLUSION: Correct contact tracing and early active case finding is useful to identify transmission chains and source of infection in order to contain the widespread transmission in the community. BioMed Central 2021-05-19 /pmc/articles/PMC8132040/ /pubmed/34011266 http://dx.doi.org/10.1186/s12879-021-06107-6 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 Article Safer, Mouna Letaief, Hejer Hechaichi, Aicha Harizi, Chahida Dhaouadi, Sonia Bouabid, Leila Darouiche, Sondes Gharbi, Donia Elmili, Nawel Ben Salah, Hamida Hammami, Mongi Talmoudi, Khouloud Moussa, Rim Charaa, Nejib Termiz, Hasna Ltaief, Fethi Tounekti, Habib Makhlouf, Mohamed Belguith Sriha, Asma Ben Fredj, Manel Khalfallah, Sonia Jabrane, Houcine Mchirgui, Selma Amich, Chedli Dabghi, Radhia Anez, Zid Abdelkader, Latifa Mhamdi, Moncef Ouerfeli, Nabil Zoghlami, Salah Bougatef, Souha Chahed, Mohamed Kouni Bouafif Ben Alaya, Nissaf Identification of transmission chains and clusters associated with COVID-19 in Tunisia |
title | Identification of transmission chains and clusters associated with COVID-19 in Tunisia |
title_full | Identification of transmission chains and clusters associated with COVID-19 in Tunisia |
title_fullStr | Identification of transmission chains and clusters associated with COVID-19 in Tunisia |
title_full_unstemmed | Identification of transmission chains and clusters associated with COVID-19 in Tunisia |
title_short | Identification of transmission chains and clusters associated with COVID-19 in Tunisia |
title_sort | identification of transmission chains and clusters associated with covid-19 in tunisia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132040/ https://www.ncbi.nlm.nih.gov/pubmed/34011266 http://dx.doi.org/10.1186/s12879-021-06107-6 |
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