Mathematical Modelling of Malaria Transmission in North Senatorial Zone of Taraba State Nigeria

Momoh, A. A.; Tahir, Abdul Aziz M.; Omokhuale, E.; Balogun, O.S.

doi:10.9790/5728-0330713

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…A variety of plasmodium parasites exist. Mainly four types of plasmodium cause malaria disease among the human viz., falciparum, vivax, ovale and plasmodium malaria [1,11,12,13,14,19]. [17,22,23,24,25,26] developed a mathematical model to study the transmission of malaria; in fact, their study showed clearly that effective treatment offered to about fifty percent of the infected population together with about fifty percent prevention rate is all that is required to eliminate the disease.…”

Section: Introductionmentioning

confidence: 99%

Determining Sensitive Parameters in the Transmission Dynamics of Malaria Disease Using Mathematical Model Approach

M.A.¹,

Olatinwo²,

O.F.³

et al. 2023

African Journal of Mathematics and Statistics Studies

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The challenge posed by malaria disease calls for an urgent need for a better understanding of important parameters in the disease transmission and development of prevention and control of the spread of malaria disease. In this work, a mathematical model for the dynamics of malaria disease is developed and analyzed. There is existence of disease free equilibrium and endemic equilibrium point of the model, the local stability of disease free equilibrium is obtained using Jacobian matrix which is locally asymptotically stable whenever the basic reproduction number is less than unity. Finally, the results obtained in Table 2, Figure 6 and Figure 8 from sensitivity analysis reveal that malaria disease can be controlled if the biting rate of mosquito is eliminated in the population.

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Section: Introductionmentioning

confidence: 99%

Determining Sensitive Parameters in the Transmission Dynamics of Malaria Disease Using Mathematical Model Approach

M.A.¹,

Olatinwo²,

O.F.³

et al. 2023

African Journal of Mathematics and Statistics Studies

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Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning

Awine

Malm

Bart-Plange

et al. 2017

Global Health Action

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Ghana is classified as being in the malaria control phase, according to the global malaria elimination program. With many years of policy development and control interventions, malaria specific mortality among children less than 5 years old has declined from 14.4% in 2000 to 0.6% in 2012. However, the same level of success has not been achieved with malaria morbidity. The recently adopted 2015–2020 Ghana strategic action plan aims to reduce the burden of malaria by 75.0%. Planning and policy development has always been guided by evidence from field studies, and mathematical models that are able to investigate malaria transmission dynamics have not played a significant role in supporting policy development. The objectives of this study are to describe the malaria situation in Ghana and give a brief account of how mathematical modelling techniques could support a more informed malaria control effort in the Ghanaian context. A review is carried out of some mathematical models investigating the dynamics of malaria transmission in sub-Saharan African countries, including Ghana. The applications of these models are then discussed, considering the gaps that still remain in Ghana for which further mathematical model development could be supportive. Because of the collaborative approach adopted in their development, some model examples Ghana could benefit from are also discussed. Collaboration between malaria control experts and modellers will allow for more appropriate mathematical models to be developed. Packaging these models with user-friendly interfaces and making them available at various levels of malaria control management could help provide the decision making tools needed for planning and a platform for monitoring and evaluation of interventions in Ghana.

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Mathematical Modelling of Malaria Transmission in North Senatorial Zone of Taraba State Nigeria

Abstract: This research deals with mathematical modelling of malaria transmission in North Senatorial R , which is greater than 0, implies that the force of malaria infection in TarabaNorth Senatorial Zone is high. The researchers also make recommendations for the reduction of malaria in the zone.

Cited by 2 publications

References 6 publications

Determining Sensitive Parameters in the Transmission Dynamics of Malaria Disease Using Mathematical Model Approach

Determining Sensitive Parameters in the Transmission Dynamics of Malaria Disease Using Mathematical Model Approach

Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning

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