ArticleBMC infectious diseases2021
Identification of transmission chains and clusters associated with COVID-19 in Tunisia.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Impact of COVID-19 lockdown on dietary habits and weight among Tunisian adults.La Tunisie medicale · 2025Article
- The evaluation of SARS-CoV-2 mutations at the early stage of the pandemic in Istanbul population.Annals of clinical microbiology and antimicrobials · 2024Article
- Multi-sectoral collaborations in selected countries of the Eastern Mediterranean region: assessment, enablers and missed opportunities from the COVID-19 pandemic response.Health research policy and systems · 2024Article
- Analysis of contact tracing data showed contribution of asymptomatic and non-severe infections to the maintenance of SARS-CoV-2 transmission in Senegal.Scientific reports · 2023Article
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Authors and funding
33 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this study was to characterize the transmission chains and clusters of COVID-19 infection in Tunisia.
methodsAll 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.
resultsAs 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
conclusionCorrect 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.
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