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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10101 - Pure mathematics

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Italian Journal of Pure and Applied Mathematics

  • ISSN

    1126-8042

  • e-ISSN

    2239-0227

  • Svazek periodika

    47

  • Číslo periodika v rámci svazku

    47

  • Stát vydavatele periodika

    IT - Italská republika

  • Počet stran výsledku

    32

  • Strana od-do

    271-302

  • Kód UT WoS článku

    000862732200018

  • EID výsledku v databázi Scopus

    2-s2.0-85130206033