Your browser doesn't support javascript.
Estimation of the Serial Interval and the Effective Reproductive Number of COVID-19 Outbreak Using Contact Data in Burkina Faso, a Sub-Saharan African Country.
Somda, Serge M A; Ouedraogo, Boukary; Pare, Constant B; Kouanda, Seni.
  • Somda SMA; UFR-Sciences Exactes et Appliquées, Université Nazi Boni, Bobo-Dioulasso, Burkina Faso.
  • Ouedraogo B; Centre Muraz, Institut National de Santé Publique (INSP), Bobo-Dioulasso, Burkina Faso.
  • Pare CB; Direction des Systèmes d'Information en Santè (DSIS), Ministère de la Santé, Ouagadougou, Burkina Faso.
  • Kouanda S; Département de Sante Publique, Unité de Formation et de Recherche en Sciences de la Sante Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.
Comput Math Methods Med ; 2022: 8239915, 2022.
Article in English | MEDLINE | ID: covidwho-2053437
ABSTRACT
The COVID-19 outbreak has spread all around the world in less than four months. However, the pattern of the epidemic was different according to the countries. We propose this paper to describe the transmission network and to estimate the serial interval and the reproductive number of the novel coronavirus disease (COVID-19) in Burkina Faso, a Sub-Saharan African country. Data from the COVID-19 response team was analyzed. Information on the 804 first detected cases were pulled together. From contact tracing information, 126 infector-infectee pairs were built. The principal infection clusters with their index cases were observed, principally the two major identified indexes in Burkina. However, the generations of infections were usually short (less than four). The serial interval was estimated to follow a gamma distribution with a shape parameter 1.04 (95% credibility interval 0.69-1.57) and a scale parameter of 5.69 (95% credibility interval 3.76-9.11). The basic reproductive number was estimated at 2.36 (95% confidence interval 1.46-3.26). However, the effective reproductive number decreases very quickly, reaching a minimum value of 0.20 (95% confidence interval 0.06-0.34). Estimated parameters are made available to monitor the outbreak in Sub-Saharan African countries. These show serial intervals like in the other continents but less infectiousness.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Africa Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 2022

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: Africa Language: English Journal: Comput Math Methods Med Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 2022