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    DISTRIBUTION AND ABUNDANCE OF MOSQUITOES IN RELATION TO MALARIA PREVALENCE IN CHANCHAGA LOCAL GOVERNMENT AREA OF NIGER STATE, NIGERIA
    (International Journal of Applied Biological Research, 16 (1), (Impress), 2025) Abdullahi, M.; Ismail, A.; Abolarinwa, S. O.; Ocha, I. M.; Amos, A.V.; Omalu, I. C. J.
    In spite of intensive control measures and intervention in Nigeria, malaria remains a major public health threat. The dearth of information on the diversity and distribution of Anopheline mosquito species, a prerequisite to successful malaria control, informed this study. Indoor adult mosquito populations were sampled using Pyrethrum Spray Catches (PSC). Two hundred and seventy-six (276) human individuals were examined for malaria parasites using Giemsa staining techniques. All individuals were screened for the presence of malaria parasite and classified into four (4) age groups: < 5 years, 6 – 10 years, 11 – 15 years and >16 years. A total of one thousand five hundred and sixteen (1516) mosquitoes were collected and identified as follows; Anopheles species 371 (24.47%) and Culex species 1145 (75.53%). Mosquitoes collected per location was as follows F-layout 399 (26.31%), Tunga 406 (26.28%), Chanchaga 361 (23.81%) and Sauka-Kahuta 350 (23.08%). The distribution of mosquitoes per location showed a significant difference at p<0.05. Six species of Anopheles mosquitoes were identified. These are Anopheles gambiae, 235 (63.34%), Anopheles funestus, 111 (29.92%), Anopheles coustani,10 (2.69%), Anopheles nili, 6 (1.62%), Anopheles squamosus, 6 (1.62%) and Anopheles moucheti,3 (0.81%). Tunga had the highest number of Anopheles mosquitoes of 116 (31.27%), followed by F-layout 93 (25.07%) while Sauka-Kahuta had the least number of Anopheles mosquitoes collected 74 (19.95%). Out of the 276 human blood specimens examined, 178 (64.49%) were positive for Plasmodium falciparum. Individuals of age group 6 – 10 years had highest infection rate of 40 (78.43%), followed by 16 years 87 (63.50%) while age group 0 – 5 years, had the least infection rate of 6 (56%). Males were more infected 91 (67.91%) with malaria than females 87 (61.27%) which also showed a significant difference at p<0.05. This study demonstrated the complex distribution of Anopheles mosquito and the considerable variations in the intensity of malaria transmission in Chanchaga Local Government and its environs, hence the need to intensify control strategies to eliminate larva sources of the vectors.
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    A fractional-order mathematical model for malaria and COVID-19 co-infection dynamics
    (Elsevier BV, 2023-12) Adesoye Idowu Abioye; Olumuyiwa James Peter; Hammed Abiodun Ogunseye; Festus Abiodun Oguntolu; Tawakalt Abosede Ayoola; Asimiyu Olalekan Oladapo
    This study proposes a fractional-order mathematical model for malaria and COVID-19 co-infection using the Atangana–Baleanu Derivative. We explain the various stages of the diseases together in humans and mosquitoes, and we also establish the existence and uniqueness of the fractional order co-infection model solution using the fixed point theorem. We conduct the qualitative analysis along with an epidemic indicator, the basic reproduction number R0 of this model. We investigate the global stability at the disease and endemic free equilibrium of the malaria-only, COVID-19-only, and co-infection models. We run different simulations of the fractional-order co-infection model using a two-step Lagrange interpolation polynomial approximate method with the aid of the Maple software package. The results reveal that reducing the risk of malaria and COVID-19 by taking preventive measures will reduce the risk factor for getting COVID-19 after contracting malaria and will also reduce the risk factor for getting malaria after contracting COVID-19 even to the point of extinction.