Sensitivity analysis reveals that wrong treatments positively impact the spread of malaria and COVID-19 in the population, which agrees with the result from numerical simulation, and numerical simulation shows that those infected with malaria dominate the infection space.
Abstract
Malaria and coronavirus disease (COVID-19) have been shown to exhibit clinical and pathological resemblances. The overlap in their characteristic symptoms led to the loss of many lives during the COVID-19 pandemic due to misdiagnosis and wrong treatment. In this paper, co-circulation and co-infection of malaria and coronavirus disease in a malaria-endemic population are modeled through a system of nonlinear ordinary differential equations, and the impact of wrong treatments on the dynamics of the two diseases and their co-infection is determined. The disease-free equilibrium of the model is shown to be both locally and globally asymptotically stable when the basic reproduction number is less than one. Sensitivity analysis reveals that wrong treatments positively impact the spread of malaria and COVID-19 in the population, which agrees with the result from numerical simulation. Moreover, numerical simulation shows that those infected with malaria dominate the infection space. This can be naturally attributed to the endemicity of malaria in the population.
A mathematical model that considers the critical factors influencing the transmission dynamics and control interventions of malaria and typhoid fever co-infection is developed and is anticipated to aid in improving the management of malaria–typhoid co-infection in endemic regions for expeditious disease eradication.
O. C. Collins, O. Olanrewaju· AppliedMath· 0 citations
Malaria is a global health concern, with Africa bearing the highest global burden of malaria, as plasmodium falciparum malaria remains the leading cause of malaria-related mortality on the continent. This paper shows a mathematical model which describes the dynamics of malaria and human population compartments in terms...
G. O. Olanrewaju, O. I. Shonuga, O. A. Okoh· International journal of sci...· 0 citations
In this study, we examined an integrated model of HIV and TB co-infection. Specifically, we proposed a system of nonlinear differential equations to describe the co-dynamics of both diseases and conducted a comprehensive stability analysis of its critical points alongside numerical simulations. The stability analysis o...
Jonas Niyitegeka, Shaloom Niyibizi· International journal of res...· 0 citations
A modified mathematical model for the transmission dynamics of a two-strain dengue infection in a population is designed and vividly analysed. The model incorporates vector control measures such as good environmental sanitation and use of mosquito treated nets to reduce mosquito density and bite respectively. Also inco...
Aloysius N. Ezaka, Henry O. Adagba, S. Aloke et al.· International Journal of Adv...· 0 citations
COVID-19 and tuberculosis (TB) co-infection presents a significant public health challenge by increasing disease burden and complicating disease management, diagnosis, and treatment. To explore the COVID-19-TB co-infection dynamics and evaluate interventions such as public health campaigns, mask wearing, and social dis...
Ravina, Nitin Sharma, Sunil Singh Negi et al.· Journal of biological system...· 0 citations
Immunity against Plasmodium falciparum malaria is acquired slowly and incompletely through repeated infections, leading to differing levels of protection among individuals based on their history of exposure to the disease. Since malaria is a climate sensitive vector-borne disease, immunological history is shaped by the...
M. G. Zornoza, C. Caminade, A. Dieng et al.· medRxiv· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
