Entomological Collections and Identifications of Mosquito Faunas in Selected Area Councils of Nigeria Federal Capital Territory

Auteur/ices

  • Oluwaseun Adesoye
    Department of Biological Sciences, University of Abuja, Abuja, Nigeria
    https://orcid.org/0009-0003-0362-947X
  • Tolulope Oyeniyi
    Molecular Entomology and Vector Control Research Laboratory, Nigeria Institute of Medical Research, Yaba, Lagos, Nigeria
    https://orcid.org/0009-0005-4617-8757
  • Ayodele Babalola
    Molecular Entomology and Vector Control Research Laboratory, Nigeria Institute of Medical Research, Yaba, Lagos, Nigeria
    https://orcid.org/0000-0003-0540-5675
  • Olalekan Olagundoye
    Molecular Entomology and Vector Control Research Laboratory, Nigeria Institute of Medical Research, Yaba, Lagos, Nigeria
    https://orcid.org/0009-0003-6574-3534
  • Romoke Izekor
    Molecular Entomology and Vector Control Research Laboratory, Nigeria Institute of Medical Research, Yaba, Lagos, Nigeria
  • Oluwakemi Adetunji
    Molecular Entomology and Vector Control Research Laboratory, Nigeria Institute of Medical Research, Yaba, Lagos, Nigeria
  • Israel Akinsete
    Department of Animal Biology, Federal University of Technology, Minna, Nigeria
  • Kamoru Adeniyi
    Department of Biological Sciences, Federal University, Dutse, Nigeria
  • Callistus Akinleye
    Department of Community Medicine, Osun State University, Osogbo, Nigeria
  • Adewale Adediran
    Molecular Entomology and Vector Control Research Laboratory, Nigeria Institute of Medical Research, Yaba, Lagos, Nigeria
  • Chidinma Isaac
    Molecular Entomology and Vector Control Research Laboratory, Nigeria Institute of Medical Research, Yaba, Lagos, Nigeria
  • Adedapo Adeogun
    Molecular Entomology and Vector Control Research Laboratory, Nigeria Institute of Medical Research, Yaba, Lagos, Nigeria
    https://orcid.org/0000-0003-4351-9542

Mots-clés :

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Résumé

Mosquito survey and identification are foundational elements of an effective vector management plan. The present study therefore aimed to collect and identify various mosquito species in some selected Area Councils in the Federal Capital Territory (FCT), Nigeria. Larval of various species of mosquitoes were collected and identified in difference breeding sites across selected Area councils in the FCT. The collected larvae were raised to adult stage and were further identified using morphological key. Data obtained were analysed using SPSS version 27.0 and p-value was set at 95%.  Samples were collected from Abuja Municipal, Gwagwalada and Bwari area councils. The study identified Anopheles funestus, 150(9.8%), as the least mosquito species collected and Culex quinquefasciatus, 307 (20.1) was the most abundance species in the study areas. Mosquito species co-exist in various breeding sites with Anopheles species mostly associated with temporary breeding. The study provides a baseline data concerning mosquito vector population and composition in the FCT. This information thus informs the public and vector management officials about the risks and the need to scale-up preventive measures against human-vector contact.

Dimensions

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Front

Publiée

2024-08-02

Comment citer

Entomological Collections and Identifications of Mosquito Faunas in Selected Area Councils of Nigeria Federal Capital Territory. (2024). Lafia Journal of Scientific and Industrial Research, 2(2), 134-138. https://doi.org/10.62050/ljsir2024.v2n2.341

Numéro

Volume 2, Issue 2 (October, 2024), Lafia Journal of Scientific and Industrial Research (LJSIR)

Rubrique

Life Sciences
Copyright & Licensing

Merci de créditer les auteurs lors de toute citation : Lafia Journal of Scientific and Industrial Research (2024)

Creative Commons License

Ce travail est disponible sous licence Creative Commons Attribution - Pas d’Utilisation Commerciale - Partage dans les Mêmes Conditions 4.0 International.

Comment citer

Entomological Collections and Identifications of Mosquito Faunas in Selected Area Councils of Nigeria Federal Capital Territory. (2024). Lafia Journal of Scientific and Industrial Research, 2(2), 134-138. https://doi.org/10.62050/ljsir2024.v2n2.341

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