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PloS one · 2025

Spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in Nigeria using recently collected empirical data.

СтатьяНазвание и аннотация: Перевод в очереди
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Adeogun Adedapo O, Babalola Ayodele Samuel, Oyale Okoko Okefu, Oyeniyi Tolulope, Omotayo Ahmed, Izekor Romoke Tawakalitu, Adetunji Oluwakemi, Olakiigbe Abiodun, Olagundoye Olalekan, Adeleke Monsuru Adebayo, Ojianwuna Chioma Cynthia, Dagona Adamu, Muhammad Daskum Abdullahi, Mabu Jibrin Musa, Sambo Elkanah Obadiah, Oduola Adedayo, Inyama Petrus Uchenna, Samdi Lazarus, Obembe Abiodun, Dogara Mustapha Musa, Yoriyo Kennedy Poloma, Mohammed Suleiman, Samuel Rebecca Naphtali, Amajoh Chioma, Musa Adesola, Zabiri Musa John, Sani Njobdi, Zakariya Sani, Samaila Abubakar, Abba Ezra, Shuaibu Abdulmalik Bala, Enwemiwe Victor, Esiwo Eric, Danjuma Ahmad, Shuaibu Tasiu, Istifanus Peni Aiki, Kabiru Salisu, Ukubuiwe Azubuike Christian, Salihu Ibrahim Maikudi, Bamidele Julius Akolawole, Fawole Jumoke Kikelomo, Liatu Garba Columbus, Wahedi Alex Jasini, Idris Sambo Fatima, Ado Abduljalal, Pukuma Micah Sale, Fasasi Kanil Ayo, Rufai Akinlabi Muhammed, Fagbohun Ifeoluwa Kayode, Bala Mohammed, Esema Mary, Omo-Eboh Mamudu, Idowu Olufunmilayo Ajoke, Ande Adeolu, Olayemi Israel Kayode, Yayo Abdulsalami Manu, Ademu Cyril, Okoronko Chukwu, Ozor Lynda, Ssekitooleko James, Mokuolu Olugbenga, Kawu Issa, Ntadom Godwin, Salako Babatunde, Awolola Samson

Аннотация

In Nigeria, most research and malaria vector control efforts have focused on primary vectors within the Anopheles gambiae complex, with less emphasis on other secondary vectors. Consequently, understudied secondary vectors have demonstrated a proportional and increasing role in transmission. This study utilized geospatial models to understand the potential distribution of anopheline species other than An. gambiae complex (non-gambiae species) in Nigeria. Adult mosquitoes were sampled monthly between 2020 and 2022, with concurrent surveys of larval sites in selected Local Government Areas (LGAs) across 20 States resulting in the collection and identification of over 100,000 Anopheline mosquitoes. Utilizing 23 environmental variables, the model produced maps depicting the potential geographical distribution of four secondary vector species under current climatic conditions. An. funestus, An. coustani, An. maculipalpis, and An. rufipes dominated collections, with other species also present. Most species collected exhibited higher occurrences in the Northern parts of the country, albeit with lower numbers, while they seem confined to fewer locations in the southern parts - with higher densities. An. funestus, An. maculipalpis, and An. rufipes demonstrated a higher potential for wide range expansion compared to An. coustani based on the model. Overall, modeling outputs indicate that non-An. gambiae were expected to exhibit a wide-spread across the country, with their distribution primarily influenced by temperature rather than precipitation-related factors. These models provide research scientists and decision-makers with a baseline for research, monitoring towards establishing management plans for future national mosquito surveillance and control programs in Nigeria.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты