Evidence map›Paper›PMID 39913605›Full record

ArticlePLoS neglected tropical diseases2025

Geospatial modeling of geographical spread of Aedes species, in relation to climatic and topographical factors in Lagos State, Nigeria.

Ayodele Samuel Babalola, Adedapo O Adeogun, Hala S Thabet, Reham A TagEldin, Tolulope Oyeniyi, Olanrewaju Adekunle, Romoke Izekor, Oluwakemi Adetunji, Olagundoye Olalekan, Ahmed Omotayo and 7 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

17 authors.

Ayodele Samuel BabalolaPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.ORCID 0000-0003-0540-5675
Adedapo O AdeogunPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Hala S ThabetUnited States Naval Medical Research Unit EURAFCENT, Cairo, Egypt.
Reham A TagEldinUnited States Naval Medical Research Unit EURAFCENT, Cairo, Egypt.
Tolulope OyeniyiPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Olanrewaju AdekunlePublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Romoke IzekorPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Oluwakemi AdetunjiPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Olagundoye OlalekanPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Ahmed OmotayoPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Olakiigbe AbiodunPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Adewale Daniel AdediranPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Taye AdekeyePublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Adesoye O AdegbolaPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Chidinma IsaacPublic Health and Epidemiology Department, Nigerian Institute of Medical Research, Yaba Lagos State, Nigeria.
Phillip O OkokoIntegrated Vector Management Department, National Malaria Elimination Program, Abuja, Nigeria.
James F HarwoodUnited States Naval Medical Research Unit EURAFCENT, Cairo, Egypt.

Funding

Armed Forces Health Surveillance Division (AFHSD)Global Emerging Infections Surveillance Branch (GEIS)Navy Entomologist at NAMRU-EURAFCENT
6 · The paper itself

Abstract

The ecology and biology of mosquito disease vectors of the genus Aedes are highly dynamic, adapting to various climatic and topographic factors which makes their control challenging. Evidence-based control of Aedes mosquitoes requires a detailed understanding of this adaptability, which is greatly influenced by environmental dynamics. Understanding the drivers of their distribution is hence pertinent to predict disease risk. To better understand drivers and dynamics, we studied the distribution of Aedes mosquitoes in Lagos State, Nigeria, and its connection to climatic and human factors. Aedes larvae and adults were collected from eight Local Government Areas (LGAs, four urban and four rural) in Lagos State, resulting in 98 occurrence points. Using 23 environmental variables, we modeled the geographic distribution of Aedes spp. under current climatic conditions. Human population density was overlaid to estimate the risk of arboviral diseases. Although Aedes mosquitoes were found in all the eight LGAs in different proportions, species distribution varied considerably. Both Aedes aegypti and Aedes albopictus were found across the LGAs with evidence of species partitioning. Virtually all the LGAs were predicted to be highly suitable environments for Aedes mosquitoes, with only two LGAs being moderately suitable. Anthropogenic factors including the extensive accumulation of tires contribute to larval habitat availability for both Aedes aegypti and Aedes albopictus. Urban areas with high population density were also associated with increased larval habitat availability when compared with rural areas. Furthermore, the model suggests that LGAs sharing border with Ogun State are highly suitable environments for Aedes spp. Our study highlights that the main contributing factors to Aedes distribution were precipitation and temperature in the coldest quarter. This paper aims to understand how human and climatic factors affect Aedes mosquitoes distribution in Lagos State, which is crucial to prevent disease transmission.

Indexed as

AedesAnimal DistributionMosquito VectorsAnimalsClimateEcosystemHumansLarvaNigeriaPopulation Density

Identifiers

PMID39913605
PMCPMC11825102

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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.