Analysis of contact tracing data showed contribution of asymptomatic and non-severe infections to the maintenance of SARS-CoV-2 transmission in Senegal
Abstract During the COVID-19 pandemic in Senegal, contact tracing was done to identify transmission clusters, their analysis allowed to understand their dynamics and evolution. In this study, we used information from the surveillance data and phone interviews to construct, represent and analyze COVI...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-35622-6 |
| _version_ | 1797806714432520192 |
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| author | Maryam Diarra Ramatoulaye Ndiaye Aliou Barry Cheikh Talla Moussa Moise Diagne Ndongo Dia Joseph Faye Fatoumata Diene Sarr Aboubacry Gaye Amadou Diallo Mamadou Cisse Idrissa Dieng Gamou Fall Adama Tall Oumar Faye Ousmane Faye Amadou A. Sall Cheikh Loucoubar |
| author_facet | Maryam Diarra Ramatoulaye Ndiaye Aliou Barry Cheikh Talla Moussa Moise Diagne Ndongo Dia Joseph Faye Fatoumata Diene Sarr Aboubacry Gaye Amadou Diallo Mamadou Cisse Idrissa Dieng Gamou Fall Adama Tall Oumar Faye Ousmane Faye Amadou A. Sall Cheikh Loucoubar |
| author_sort | Maryam Diarra |
| collection | DOAJ |
| description | Abstract During the COVID-19 pandemic in Senegal, contact tracing was done to identify transmission clusters, their analysis allowed to understand their dynamics and evolution. In this study, we used information from the surveillance data and phone interviews to construct, represent and analyze COVID-19 transmission clusters from March 2, 2020, to May 31, 2021. In total, 114,040 samples were tested and 2153 transmission clusters identified. A maximum of 7 generations of secondary infections were noted. Clusters had an average of 29.58 members and 7.63 infected among them; their average duration was 27.95 days. Most of the clusters (77.3%) are concentrated in Dakar, capital city of Senegal. The 29 cases identified as super-spreaders, i.e., the indexes that had the most positive contacts, showed few symptoms or were asymptomatic. Deepest transmission clusters are those with the highest percentage of asymptomatic members. The correlation between proportion of asymptomatic and degree of transmission clusters showed that asymptomatic strongly contributed to the continuity of transmission within clusters. During this pandemic, all the efforts towards epidemiological investigations, active case-contact detection, allowed to identify in a short delay growing clusters and help response teams to mitigate the spread of the disease. |
| first_indexed | 2024-03-13T06:11:29Z |
| format | Article |
| id | doaj.art-65c90faec78b4b0cb2e6e338d428d139 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T06:11:29Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-65c90faec78b4b0cb2e6e338d428d1392023-06-11T11:14:48ZengNature PortfolioScientific Reports2045-23222023-06-011311910.1038/s41598-023-35622-6Analysis of contact tracing data showed contribution of asymptomatic and non-severe infections to the maintenance of SARS-CoV-2 transmission in SenegalMaryam Diarra0Ramatoulaye Ndiaye1Aliou Barry2Cheikh Talla3Moussa Moise Diagne4Ndongo Dia5Joseph Faye6Fatoumata Diene Sarr7Aboubacry Gaye8Amadou Diallo9Mamadou Cisse10Idrissa Dieng11Gamou Fall12Adama Tall13Oumar Faye14Ousmane Faye15Amadou A. Sall16Cheikh Loucoubar17Epidemiology, Clinical Research and Data Science Department, Institut Pasteur de DakarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de DakarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de DakarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de DakarVirology Department, Institut Pasteur de DakarVirology Department, Institut Pasteur de DakarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de DakarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de DakarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de DakarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de DakarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de DakarVirology Department, Institut Pasteur de DakarVirology Department, Institut Pasteur de DakarScientific Direction, Institut Pasteur de DakarVirology Department, Institut Pasteur de DakarVirology Department, Institut Pasteur de DakarVirology Department, Institut Pasteur de DakarEpidemiology, Clinical Research and Data Science Department, Institut Pasteur de DakarAbstract During the COVID-19 pandemic in Senegal, contact tracing was done to identify transmission clusters, their analysis allowed to understand their dynamics and evolution. In this study, we used information from the surveillance data and phone interviews to construct, represent and analyze COVID-19 transmission clusters from March 2, 2020, to May 31, 2021. In total, 114,040 samples were tested and 2153 transmission clusters identified. A maximum of 7 generations of secondary infections were noted. Clusters had an average of 29.58 members and 7.63 infected among them; their average duration was 27.95 days. Most of the clusters (77.3%) are concentrated in Dakar, capital city of Senegal. The 29 cases identified as super-spreaders, i.e., the indexes that had the most positive contacts, showed few symptoms or were asymptomatic. Deepest transmission clusters are those with the highest percentage of asymptomatic members. The correlation between proportion of asymptomatic and degree of transmission clusters showed that asymptomatic strongly contributed to the continuity of transmission within clusters. During this pandemic, all the efforts towards epidemiological investigations, active case-contact detection, allowed to identify in a short delay growing clusters and help response teams to mitigate the spread of the disease.https://doi.org/10.1038/s41598-023-35622-6 |
| spellingShingle | Maryam Diarra Ramatoulaye Ndiaye Aliou Barry Cheikh Talla Moussa Moise Diagne Ndongo Dia Joseph Faye Fatoumata Diene Sarr Aboubacry Gaye Amadou Diallo Mamadou Cisse Idrissa Dieng Gamou Fall Adama Tall Oumar Faye Ousmane Faye Amadou A. Sall Cheikh Loucoubar 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 |
| title | Analysis of contact tracing data showed contribution of asymptomatic and non-severe infections to the maintenance of SARS-CoV-2 transmission in Senegal |
| title_full | Analysis of contact tracing data showed contribution of asymptomatic and non-severe infections to the maintenance of SARS-CoV-2 transmission in Senegal |
| title_fullStr | Analysis of contact tracing data showed contribution of asymptomatic and non-severe infections to the maintenance of SARS-CoV-2 transmission in Senegal |
| title_full_unstemmed | Analysis of contact tracing data showed contribution of asymptomatic and non-severe infections to the maintenance of SARS-CoV-2 transmission in Senegal |
| title_short | Analysis of contact tracing data showed contribution of asymptomatic and non-severe infections to the maintenance of SARS-CoV-2 transmission in Senegal |
| title_sort | analysis of contact tracing data showed contribution of asymptomatic and non severe infections to the maintenance of sars cov 2 transmission in senegal |
| url | https://doi.org/10.1038/s41598-023-35622-6 |
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