Autor: |
Khadim Gueye, Abdou Padane, Cyrille Kouligueul Diédhiou, Samba Ndiour, Ndéye Diabou Diagne, Aminata Mboup, Moustapha Mbow, Cheikh Ibrahima Lo, Nafissatou Leye, Aissatou Sow Ndoye, Anna Julienne Selbé Ndiaye, Seyni Ndiaye, Gora Lo, Djibril Wade, Ambroise Ahouidi, Papa Alassane Diaw, Marièma Sarr, Mamadou Beye, Badara Cissé, Cheikh Sokhna, Makhtar Camara, Ndéye Coumba Touré Kane, Souleymane Mboup |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
COVID. 2:1116-1124 |
ISSN: |
2673-8112 |
Popis: |
The coronavirus disease 2019 (COVID-19) is a contagious disease caused by a new coronavirus called SARS-CoV-2. The first case was discovered in Wuhan, China, in December 2019, raising concerns about the emergence of a new coronavirus that poses a significant public health risk. The objective of this study, based on data collected and sequenced at the Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formations (IRESSEF), is to characterize the pandemic evolution, establish a relationship between the different strains in each wave, and finally determine the phylodynamic evolution of the pandemic, utilizing microreact simulations. The study shows that SARS-CoV-2 strains have evolved over time and the variability of the virus is characterized by sequencing during each wave, as is its contagiousness (the speed at which it spreads). The pandemic has spread at a rate of 44.34 cases/week during the first wave. Twelve weeks later it has risen to 185.33 cases/week during the second wave. Twenty-three weeks into the pandemic, the numbers have reached 681.77 cases/week during the third wave. During the fourth wave, the rate of infection was found to decrease slightly at 646 cases/week between early December 2021 and mid-January 2022. Data collected during this study also provided us with a geographical distribution of COVID-19, indicating that the epidemic started in Dakar before spreading inland. |
Databáze: |
OpenAIRE |
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