<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Optimal control of an epidemic model with treatment in the presence of media coverage</dc:title><dc:creator>Diagne, Mamadou L; Agusto, Folashade B; Rwezaura, Herieth; Tchuenche, Jean M; Lenhart, Suzanne</dc:creator><dc:corporate_author/><dc:editor/><dc:description>During large scale outbreaks of infectious diseases, it is imperative that media report about the
potential risks. Because media reporting plays a vital role in disseminating crucial information
about diseases and its associated risk, understanding how media reports could influence
individuals’ behavior and its potential impact on disease transmission dynamics is important. A
mathematical model within an optimal control framework of a generic disease, accounting for
treatment and media reporting of disease-induced deaths is formulated. Due to the complexity
of choosing the best media function, our goal is to attempt to address the following research
question: what is the effect of the media-induced functional response on mitigating the spread
of the disease? Connecting the functional forms to the control problem is an approach that is
not very developed in the literature. Thus, this study analyses the effect of different incidence
functions on disease transmission, and the qualitative nature of epidemic dynamics by carrying
out optimal control analysis using three different contact rates and a media function that
is dependent on the number of deaths. Theoretical analyses show that the functional forms
of the effective contact rate have no effect on initial disease transmission. Time-dependent
controls for treatment and vaccination with a constant effective contact rate are incorporated
to determine optimal control strategies. Numerical simulations show the short-term impact of
media coverage on mitigating the spread of the disease, and it is observed that with three
incidence functions used, the qualitative nature of the controls remains the same. The effective
contact rates are graphically shown to have a population-level effect on the disease dynamics
as the number of treated and recovered individuals could be significantly different. Finally, it is
shown that treatment of infectives should be at its maximum rate for a longer period compared
to vaccination, while concurrent implementation of vaccination and treatment is more impactful
in mitigating the spread of the disease. Thus, it is imperative that media reports and health
policy decision making on infectious diseases are contextualized.</dc:description><dc:publisher>Elsevier</dc:publisher><dc:date>2024-06-01</dc:date><dc:nsf_par_id>10522645</dc:nsf_par_id><dc:journal_name>Scientific African</dc:journal_name><dc:journal_volume>24</dc:journal_volume><dc:journal_issue>C</dc:journal_issue><dc:page_range_or_elocation>e02138</dc:page_range_or_elocation><dc:issn>2468-2276</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1016/j.sciaf.2024.e02138</dc:doi><dcq:identifierAwardId>2028297</dcq:identifierAwardId><dc:subject>Infectious disease</dc:subject><dc:subject>Media</dc:subject><dc:subject>Differential equations</dc:subject><dc:subject>Basic reproduction number</dc:subject><dc:subject>Stability analysis</dc:subject><dc:subject>Optimization</dc:subject><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>