The paper presents an innovative computational framework for predictive solutions for simulating the spread of malaria. The structure incorporates sophisticated computing methods to improve the reliability of predicting malaria outbreaks. The study strives to provide a strong and effective tool for forecasting the propagation of malaria via the use of an AI-based recurrent neural network (RNN). The model is classified into two groups, consisting of humans and mosquitoes. To develop the model, the traditional Ross-Macdonald model is expanded upon, allowing for a more comprehensive analysis of the intricate dynamics at play. To gain a deeper understanding of the extended Ross model, we employ RNN, treating it as an initial value problem involving a system of first-order ordinary differential equations, each representing one of the seven profiles. This method enables us to obtain valuable insights and elucidate the complexities inherent in the propagation of malaria. Mosquitoes and humans constitute the two cohorts encompassed within the exposition of the mathematical dynamical model. Human dynamics are comprised of individuals who are susceptible, exposed, infectious, and in recovery. The mosquito population, on the other hand, is divided into three categories: susceptible, exposed, and infected. For RNN, we used the input of 0 to 300 days with an interval length of 3 days. The evaluation of the precision and accuracy of the methodology is conducted by superimposing the estimated solution onto the numerical solution. In addition, the outcomes obtained from the RNN are examined, including regression analysis, assessment of error autocorrelation, examination of time series response plots, mean square error, error histogram, and absolute error. A reduced mean square error signifies that the model's estimates are more accurate. The result is consistent with acquiring an approximate absolute error close to zero, revealing the efficacy of the suggested strategy. This research presents a novel approach to solving the malaria propagation model using recurrent neural networks. Additionally, it examines the behavior of various profiles under varying initial conditions of the malaria propagation model, which consists of a system of ordinary differential equations.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11025872 | PMC |
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Malaria Biochemistry Laboratory, The Francis Crick Institute, 1 Midland Road, NW1 1AT London, UK.
The malaria parasite needs nearly half of its genes to propagate normally within red blood cells. Inducible ways to interfere with gene expression like the DiCre-lox system are necessary to study the function of these essential genes. However, existing DiCre-lox strategies are not well-suited to be deployed at scale to study several genes simultaneously.
View Article and Find Full Text PDFInfect Dis Poverty
December 2024
Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Commun Biol
November 2024
Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK.
Plasmodium male and female gametocytes are the gatekeepers of human-to-mosquito transmission, therefore essential for propagation of malaria within a population. Whilst dormant in humans, their divergent roles during transmission become apparent soon after mosquito feeding with a rapid transformation into gametes - males forming eight motile sperm-like cells aiming to fertilise a single female gamete. Little is known about how the parasite fuels this abrupt change, and the potential role played by their large and elaborate cristate mitochondrion.
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September 2024
Center for Climate Resilient Agriculture, University of Agricultural and Horticultural Sciences, Shivamogga, 577 201, India.
This research purpose was focused to document the traditional ethnobotanical knowledge (TEK) associated with important wild plants and indigenous communities residing in mountainous zone of District Sudhnoti of Azad Jammu and Kashmir, Pakistan and to determine their conservation status with suggestions and recommendations to protect and propagate the rare and endangered wild flora of the area for sustainable use. The data regarding traditional ethnomedicines (TEMs) and phytogeography with conservation analysis of wild plants were collected via structured and semi structured interviews of 150 participants belonging to various professions and of both genders. Prior consent and permission were obtained from family heads and from all the participants, and the data were shared with all the informants through the local female translator guide.
View Article and Find Full Text PDFMitochondrion
November 2024
International Centre for Genetic Engineering and Biotechnology, New Delhi 110 067, India. Electronic address:
The functional mitochondrion is vital for the propagation of the malaria parasite in the human host. Members of the SPFH protein family, Prohibitins (PHBs), are known to play crucial roles in maintaining mitochondrial homeostasis and cellular functions. Here, we have functionally characterized the homologue of the Plasmodium falciparumProhibitin-2 (PfPhb2) protein.
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