Evidence map›Paper›PMID 37608210›Full record

ArticleScientific reports2023

Spatial distribution and ecological niche modeling of geographical spread of Anopheles gambiae complex in Nigeria using real time data.

Adedapo Adeogun, Ayodele Samuel Babalola, Okefu Oyale Okoko, Tolulope Oyeniyi, Ahmed Omotayo, Romoke Tawakalitu Izekor, Oluwakemi Adetunji, Abiodun Olakiigbe, Olalekan Olagundoye, Monsuru Adeleke and 26 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  7. Historical Overview of the Bionomics ofJournal of arthropod-borne diseases · 2026
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  11. Predicting environmental suitability and future spread range ofInternational journal of applied earth observation and geoinformation : ITC journal · 2026
    Article
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  15. Article
  16. Vector Abundance and Genetic Diversity ofPublic health challenges · 2025
    Article
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  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors.

Adedapo AdeogunNigerian Institute of Medical Research, Yaba, Lagos, Nigeria. dapoadeogun@hotmail.com.
Ayodele Samuel BabalolaNigerian Institute of Medical Research, Yaba, Lagos, Nigeria. ayodelebabalola2011@gmail.com.
Okefu Oyale OkokoNational Malaria Elimination Program, Federal Ministry of Health, Abuja, Nigeria. oyalepp@yahoo.com.
Tolulope OyeniyiNigerian Institute of Medical Research, Yaba, Lagos, Nigeria.
Ahmed OmotayoNigerian Institute of Medical Research, Yaba, Lagos, Nigeria.
Romoke Tawakalitu IzekorNigerian Institute of Medical Research, Yaba, Lagos, Nigeria.
Oluwakemi AdetunjiNigerian Institute of Medical Research, Yaba, Lagos, Nigeria.
Abiodun OlakiigbeNigerian Institute of Medical Research, Yaba, Lagos, Nigeria.
Olalekan OlagundoyeNigerian Institute of Medical Research, Yaba, Lagos, Nigeria.
Monsuru AdelekeDepartment of Zoology, Faculty of Basic and Applied Sciences, Osun State University, Osogbo, Nigeria.
Cynthia OjianwunaDepartment of Animal and Environmental Biology, Delta State University, Delta, Nigeria.
Dagona AdamuBiology Research Laboratory, Federal University, Gashua/Yobe State University, Yobe State, Gashua, Nigeria.
Abdullahi DaskumBiology Research Laboratory, Federal University, Gashua/Yobe State University, Yobe State, Gashua, Nigeria.
Jibrin MusaBiology Research Laboratory, Federal University, Gashua/Yobe State University, Yobe State, Gashua, Nigeria.
Obadiah SamboDepartment of Biological Sciences, Taraba State University, Jalingo, Nigeria.
Oduola AdedayoUSAID/Vectorlink Project Nigeria, Abuja, Nigeria.
Petrus Uchenna InyamaUSAID/Vectorlink Project Nigeria, Abuja, Nigeria.
Lazarus SamdiUSAID/Vectorlink Project Nigeria, Abuja, Nigeria.
Abiodun ObembeDepartment of Zoology, Kwara State University, Melete, Kwara, Nigeria.
Musa DogaraDepartment of Biological Sciences, Faculty of Science, Federal University, Jigawa State, Dutse, Nigeria.
Poloma KennedyDepartment of Zoology, Faculty of Science, Gombe State University, Gombe, Nigeria.
Suleiman MohammedDepartment of Biology, Umaru Musa Yar'adua University, Batagarawa, Katsina State, Nigeria.
Rebecca SamuelDepartment of Zoology, Madibbo Adama University of Technology, Yola, Adamawa State, Nigeria.
Chioma AmajohCommunity Vision, Abuja, Nigeria.
Musa AdesolaNigerian Institute of Medical Research, Yaba, Lagos, Nigeria.
Mohammed BalaNational Malaria Elimination Program, Federal Ministry of Health, Abuja, Nigeria.
Mary EsemaNational Malaria Elimination Program, Federal Ministry of Health, Abuja, Nigeria.
Mamudu Omo-EbohNational Malaria Elimination Program, Federal Ministry of Health, Abuja, Nigeria.
Marianne SinkaDepartment of Zoology, University of Oxford, Oxford, UK.
Olufunmilayo Ajoke IdowuDepartment of Pure and Applied Zoology, Federal University of Agriculture, Abeokuta, Nigeria.
Adeolu AndeDepartment of Zoology, University of Ilorin, Ilorin, Kwara State, Nigeria.
Israel OlayemiDepartment of Animal Biology, Federal University of Technology, Minna, Nigeria.
Abdulsalami YayoCentre for Infectious Disease Research, Bayero University, Kano, Nigeria.
Perpetua UhomoibhiNational Malaria Elimination Program, Federal Ministry of Health, Abuja, Nigeria. puhomoibhi@yahoo.com.
Samson AwololaNigerian Institute of Medical Research, Yaba, Lagos, Nigeria. awololas@hotmail.com.
Babatunde SalakoNigerian Institute of Medical Research, Yaba, Lagos, Nigeria. tundesalako@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The need for evidence-based data, to inform policy decisions on malaria vector control interventions in Nigeria, necessitated the establishment of mosquito surveillance sites in a few States in Nigeria. In order to make evidence-based-decisions, predictive studies using available data becomes imperative. We therefore predict the distribution of the major members of the Anopheles gambiae s.l. in Nigeria. Immature stages of Anopheles were collected from 72 study locations which span throughout the year 2020 resulted in the identification of over 60,000 Anopheline mosquitoes. Of these, 716 breeding sites were identified with the presence of one or more vector species from the An. gambiae complex and were subsequently used for modelling the potential geographical distribution of these important malaria vectors. Maximum Entropy (MaxEnt) distribution modeling was used to predict their potentially suitable vector habitats across Nigeria. A total of 23 environmental variables (19 bioclimatic and four topographic) were used in the model resulting in maps of the potential geographical distribution of three dominant vector species under current climatic conditions. Members of the An. gambiae complex dominated the collections (98%) with Anopheles stephensi, Anopheles coustani, Anopheles funestus, Anopheles moucheti, Anopheles nilli also present. An almost equal distribution of the two efficient vectors of malaria, An. gambiae and Anopheles coluzzii, were observed across the 12 states included in the survey. Anopheles gambiae and Anopheles coluzzii had almost equal, well distributed habitat suitability patterns with the latter having a slight range expansion. However, the central part of Nigeria (Abuja) and some highly elevated areas (Jos) in the savannah appear not suitable for the proliferation of these species. The most suitable habitat for Anopheles arabiensis was mainly in the South-west and North-east. The results of this study provide a baseline allowing decision makers to monitor the distribution of these species and establish a management plan for future national mosquito surveillance and control programs in Nigeria.

Indexed as

AnophelesMalariaAnimalsEcosystemMosquito VectorsNigeria

Identifiers

PMID37608210
PMCPMC10444803

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.