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SARS-CoV-2 and self-medication in Cameroon: a mathematical model.
Kong, Jude D; Tchuendom, Rinel F; Adeleye, Samuel A; David, Jummy F; Admasu, Fikreab Solomon; Bakare, Emmanuel A; Siewe, Nourridine.
  • Kong JD; Department of Mathematics and Statistics, York University, Toronto, ON Canada.
  • Tchuendom RF; Canadian Center for Diseases Modeling (CDM), York University, Toronto, ON Canada.
  • Adeleye SA; Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada.
  • David JF; Department of Genetics, Rutgers University, New Brunswick, NJ, USA.
  • Admasu FS; Department of Mathematics, University of British Columbia, Vancouver, BC, Canada.
  • Bakare EA; Department of Mathematical Sciences, Binghamton University, Binghamton, NY, USA.
  • Siewe N; Laboratory of Modelling in infectious Diseases and Applied Sciences (LOMIDAS).
J Biol Dyn ; 15(1): 137-150, 2021 12.
Article in English | MEDLINE | ID: covidwho-1062817
ABSTRACT
Self-medication is an important initial response to illness in Africa. This mode of medication is often done with the help of African traditional medicines. Because of the misconception that African traditional medicines can cure/prevent all diseases, some Africans may opt for COVID-19 prevention and management by self-medicating. Thus to efficiently predict the dynamics of COVID-19 in Africa, the role of the self-medicated population needs to be taken into account. In this paper, we formulate and analyse a mathematical model for the dynamics of COVID-19 in Cameroon. The model is represented by a system of compartmental age-structured ODEs that takes into account the self-medicated population and subdivides the human population into two age classes relative to their current immune system strength. We use our model to propose policy measures that could be implemented in the course of an epidemic in order to better handle cases of self-medication.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Self Medication / Models, Statistical / COVID-19 Type of study: Observational study / Prognostic study Topics: Traditional medicine Limits: Humans Country/Region as subject: Africa Language: English Journal: J Biol Dyn Journal subject: Biology Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Self Medication / Models, Statistical / COVID-19 Type of study: Observational study / Prognostic study Topics: Traditional medicine Limits: Humans Country/Region as subject: Africa Language: English Journal: J Biol Dyn Journal subject: Biology Year: 2021 Document Type: Article