All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Modelling the impact of interventions against malaria-schistosomiasis co-infection dynamics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F23%3A00557982" target="_blank" >RIV/60162694:G43__/23:00557982 - isvavai.cz</a>

  • Result on the web

    <a href="https://ijpam.uniud.it/online_issue/202247/18%20Bakare-HoskovaMayerova.pdf" target="_blank" >https://ijpam.uniud.it/online_issue/202247/18%20Bakare-HoskovaMayerova.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling the impact of interventions against malaria-schistosomiasis co-infection dynamics

  • Original language description

    Sub-Saharan Africa is known to possess the greater part of the global burden of malaria and schistosomiasis infection. The co-endemicity of these two tropical diseases has initiated the investigation into the mechanisms of their co-infection due to the competing immunological responses associated with each disease in the recent time. It is known that malaria and schistosomiasis have similar epidemiological dispersal and cause challenges to public health and socio-economic development throughout the sub-Saharan region. There are very few works done on the application of optimal control theory to the dynamics of malaria-schistosomiasis co-infection to the best of our knowledge. Our aim here is to predict the impact of the present control interventions to provide necessary information for the policy makers against future control strategies. In this regard, we proposed a malaria-schistosomiasis co-infection model using a system of compartmental deterministic non-linear ordinary differential equations. Optimal control theory was applied to examine the best control strategies against malaria-schistosomiasis disease using insecticides treated bed nets (u), prevention by avoiding swimming or wading in freshwater (u), treatments of malaria with artemisinin combined therapy (u), treatment of schistosomiasis with praziquantel (u), treatment of malaria-schistosomiasis (u), biological control (u) and insecticide spray, destruction of stagnant water and mosquito breeding sites (u) as control interventions in line with World Health Organisation (WHO) suggestion. Scenarios on various control strategies were developed using combinations of the seven control interventions either one at a time, combinations of two at a time or more than two at a time to minimize the transmission of malaria-schistosomiasis disease. Finally, the proposed model predicted that there were reductions in the transmission dynamics of malaria-schistosomiasis co-infection in the presence of at least two or more control interventions even in areas where there are limited resources.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10101 - Pure mathematics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Italian Journal of Pure and Applied Mathematics

  • ISSN

    1126-8042

  • e-ISSN

    2239-0227

  • Volume of the periodical

    47

  • Issue of the periodical within the volume

    47

  • Country of publishing house

    IT - ITALY

  • Number of pages

    32

  • Pages from-to

    271-302

  • UT code for WoS article

    000862732200018

  • EID of the result in the Scopus database

    2-s2.0-85130206033