Spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in Nigeria using recently collected empirical data.
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 st...
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0320531 |
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| author | Adedapo O Adeogun Ayodele Samuel Babalola Okoko Okefu Oyale Tolulope Oyeniyi Ahmed Omotayo Romoke Tawakalitu Izekor Oluwakemi Adetunji Abiodun Olakiigbe Olalekan Olagundoye Monsuru Adebayo Adeleke Chioma Cynthia Ojianwuna Adamu Dagona Daskum Abdullahi Muhammad Jibrin Musa Mabu Elkanah Obadiah Sambo Adedayo Oduola Petrus Uchenna Inyama Lazarus Samdi Abiodun Obembe Mustapha Musa Dogara Kennedy Poloma Yoriyo Suleiman Mohammed Rebecca Naphtali Samuel Chioma Amajoh Adesola Musa Musa John Zabiri Njobdi Sani Sani Zakariya Abubakar Samaila Ezra Abba Abdulmalik Bala Shuaibu Victor Enwemiwe Eric Esiwo Ahmad Danjuma Tasiu Shuaibu Peni Aiki Istifanus Salisu Kabiru Azubuike Christian Ukubuiwe Ibrahim Maikudi Salihu Julius Akolawole Bamidele Jumoke Kikelomo Fawole Garba Columbus Liatu Alex Jasini Wahedi Sambo Fatima Idris Abduljalal Ado Micah Sale Pukuma Kanil Ayo Fasasi Akinlabi Muhammed Rufai Ifeoluwa Kayode Fagbohun Mohammed Bala Mary Esema Mamudu Omo-Eboh Olufunmilayo Ajoke Idowu Adeolu Ande Israel Kayode Olayemi Abdulsalami Manu Yayo Cyril Ademu Chukwu Okoronko Lynda Ozor James Ssekitooleko Olugbenga Mokuolu Issa Kawu Godwin Ntadom Babatunde Salako Samson Awolola |
| author_facet | Adedapo O Adeogun Ayodele Samuel Babalola Okoko Okefu Oyale Tolulope Oyeniyi Ahmed Omotayo Romoke Tawakalitu Izekor Oluwakemi Adetunji Abiodun Olakiigbe Olalekan Olagundoye Monsuru Adebayo Adeleke Chioma Cynthia Ojianwuna Adamu Dagona Daskum Abdullahi Muhammad Jibrin Musa Mabu Elkanah Obadiah Sambo Adedayo Oduola Petrus Uchenna Inyama Lazarus Samdi Abiodun Obembe Mustapha Musa Dogara Kennedy Poloma Yoriyo Suleiman Mohammed Rebecca Naphtali Samuel Chioma Amajoh Adesola Musa Musa John Zabiri Njobdi Sani Sani Zakariya Abubakar Samaila Ezra Abba Abdulmalik Bala Shuaibu Victor Enwemiwe Eric Esiwo Ahmad Danjuma Tasiu Shuaibu Peni Aiki Istifanus Salisu Kabiru Azubuike Christian Ukubuiwe Ibrahim Maikudi Salihu Julius Akolawole Bamidele Jumoke Kikelomo Fawole Garba Columbus Liatu Alex Jasini Wahedi Sambo Fatima Idris Abduljalal Ado Micah Sale Pukuma Kanil Ayo Fasasi Akinlabi Muhammed Rufai Ifeoluwa Kayode Fagbohun Mohammed Bala Mary Esema Mamudu Omo-Eboh Olufunmilayo Ajoke Idowu Adeolu Ande Israel Kayode Olayemi Abdulsalami Manu Yayo Cyril Ademu Chukwu Okoronko Lynda Ozor James Ssekitooleko Olugbenga Mokuolu Issa Kawu Godwin Ntadom Babatunde Salako Samson Awolola |
| author_sort | Adedapo O Adeogun |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-aa5bb89c47d54bb5a9b8235e7fb0f5de |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-aa5bb89c47d54bb5a9b8235e7fb0f5de2025-08-20T03:44:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01204e032053110.1371/journal.pone.0320531Spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in Nigeria using recently collected empirical data.Adedapo O AdeogunAyodele Samuel BabalolaOkoko Okefu OyaleTolulope OyeniyiAhmed OmotayoRomoke Tawakalitu IzekorOluwakemi AdetunjiAbiodun OlakiigbeOlalekan OlagundoyeMonsuru Adebayo AdelekeChioma Cynthia OjianwunaAdamu DagonaDaskum Abdullahi MuhammadJibrin Musa MabuElkanah Obadiah SamboAdedayo OduolaPetrus Uchenna InyamaLazarus SamdiAbiodun ObembeMustapha Musa DogaraKennedy Poloma YoriyoSuleiman MohammedRebecca Naphtali SamuelChioma AmajohAdesola MusaMusa John ZabiriNjobdi SaniSani ZakariyaAbubakar SamailaEzra AbbaAbdulmalik Bala ShuaibuVictor EnwemiweEric EsiwoAhmad DanjumaTasiu ShuaibuPeni Aiki IstifanusSalisu KabiruAzubuike Christian UkubuiweIbrahim Maikudi SalihuJulius Akolawole BamideleJumoke Kikelomo FawoleGarba Columbus LiatuAlex Jasini WahediSambo Fatima IdrisAbduljalal AdoMicah Sale PukumaKanil Ayo FasasiAkinlabi Muhammed RufaiIfeoluwa Kayode FagbohunMohammed BalaMary EsemaMamudu Omo-EbohOlufunmilayo Ajoke IdowuAdeolu AndeIsrael Kayode OlayemiAbdulsalami Manu YayoCyril AdemuChukwu OkoronkoLynda OzorJames SsekitoolekoOlugbenga MokuoluIssa KawuGodwin NtadomBabatunde SalakoSamson AwololaIn 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.https://doi.org/10.1371/journal.pone.0320531 |
| spellingShingle | Adedapo O Adeogun Ayodele Samuel Babalola Okoko Okefu Oyale Tolulope Oyeniyi Ahmed Omotayo Romoke Tawakalitu Izekor Oluwakemi Adetunji Abiodun Olakiigbe Olalekan Olagundoye Monsuru Adebayo Adeleke Chioma Cynthia Ojianwuna Adamu Dagona Daskum Abdullahi Muhammad Jibrin Musa Mabu Elkanah Obadiah Sambo Adedayo Oduola Petrus Uchenna Inyama Lazarus Samdi Abiodun Obembe Mustapha Musa Dogara Kennedy Poloma Yoriyo Suleiman Mohammed Rebecca Naphtali Samuel Chioma Amajoh Adesola Musa Musa John Zabiri Njobdi Sani Sani Zakariya Abubakar Samaila Ezra Abba Abdulmalik Bala Shuaibu Victor Enwemiwe Eric Esiwo Ahmad Danjuma Tasiu Shuaibu Peni Aiki Istifanus Salisu Kabiru Azubuike Christian Ukubuiwe Ibrahim Maikudi Salihu Julius Akolawole Bamidele Jumoke Kikelomo Fawole Garba Columbus Liatu Alex Jasini Wahedi Sambo Fatima Idris Abduljalal Ado Micah Sale Pukuma Kanil Ayo Fasasi Akinlabi Muhammed Rufai Ifeoluwa Kayode Fagbohun Mohammed Bala Mary Esema Mamudu Omo-Eboh Olufunmilayo Ajoke Idowu Adeolu Ande Israel Kayode Olayemi Abdulsalami Manu Yayo Cyril Ademu Chukwu Okoronko Lynda Ozor James Ssekitooleko Olugbenga Mokuolu Issa Kawu Godwin Ntadom Babatunde Salako Samson Awolola Spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in Nigeria using recently collected empirical data. PLoS ONE |
| title | Spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in Nigeria using recently collected empirical data. |
| title_full | Spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in Nigeria using recently collected empirical data. |
| title_fullStr | Spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in Nigeria using recently collected empirical data. |
| title_full_unstemmed | Spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in Nigeria using recently collected empirical data. |
| title_short | Spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in Nigeria using recently collected empirical data. |
| title_sort | spatial distribution and geospatial modeling of potential spread of secondary malaria vectors species in nigeria using recently collected empirical data |
| url | https://doi.org/10.1371/journal.pone.0320531 |
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