Utilization of vector bionomics, remote sensing and larval habitat characterization data to inform larval source management decision in the high malaria burden state of Kebbi, Nigeria
(2025) 24:370
Oduola et al. Malaria Journal
https://doi.org/10.1186/s12936-025-05568-3
Malaria Journal
Open Access
RESEARCH
Utilization of vector bionomics, remote
sensing and larval habitat characterization data
to inform larval source management decision
in the high malaria burden state of Kebbi,
Nigeria
Adedayo O. Oduola1*, Petrus U. Inyama1, Lazarus M. Samdi1, Muhammad A. Bunza2, Abubakar Bagudu3,
Ifeanyi Okeke1, Grace Yina1, Mary Esema4, Godwin Ntadom4, Kelley Ambrose5, Jules Mihigo6,
Melissa Yoshimizu7 and Aklilu Seyoum5
Abstract
Background Malaria remains a public health challenge with Nigeria having the highest burden in cases and deaths
worldwide. Increased outdoor and indoor biting of Anopheles gambiae sensu lato (s.l.) and large gaps in protection
have become emerging challenges threatening malaria control efforts in Kebbi State, Nigeria. This study provided
data on vector behaviour, the distribution, diversity, and other characteristics of larval habitats to inform the feasibility
of larval source management in the state.
Methods Routine entomological data were comparatively analyzed across six entomological monitoring sites
located in Akwa Ibom, Ebonyi, Kebbi, Oyo, Plateau and Sokoto states in Nigeria. With a focus on Kebbi State, using
Geographical Information System (GIS) data integrated with satellite imagery, potential larval habitats were remotely
identified, characterized and mapped in Argungu, Bunza and Kalgo local government areas (LGAs). Field data on larval habitat abundance, larval density, and proximity of larval habitats to human habitation, and breeding index were
determined and analyzed.
Results Anopheles gambiae s.l. was the predominant 13,201(100%) malaria vector species in Kebbi State, in contrast
to other states where Anopheles coustani, Anopheles funestus s.l., Anopheles maculipalpis, Anopheles marshallii group,
Anopheles moucheti, Anopheles pharoensis and Anopheles rufipes were also collected. The average human biting
rate of An. gambiae s.l. in Kebbi was the highest at both indoors and outdoors in the dry (15.2, 8.7 b/p/n) and rainy
(42.2, 14.3 b/p/n) seasons across the six routine surveillance sites. The human behavioural observation data in Kebbi
showed a protection gap of 0.83 (83%) from mosquito bite exposures both indoors and outdoors. A total of 3218
and 635 potential mosquito larval habitats were sampled by the field enumerators and sample collectors respectively across Argungu, Bunza and Kalgo LGAs. Of the 635 potential larval habitats identified by sample collectors, 460
(97.9%) were positive for Anopheles larvae. Eleven different larval habitat types were identified including temporary
and permanent habitats. The proportion of temporary larval habitats within 100 m proximity of inhabited houses
*Correspondence:
Adedayo O. Oduola
Full list of author information is available at the end of the article
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Oduola et al. Malaria Journal
(2025) 24:370
Page 2 of 16
was highest in Argungu LGA 464 (43%) Bunza 230 (18%), and Kalgo 276 (61%). The highest proportions of those habitats were rice fields in Argungu 231 (80%), Bunza 446 (96%) and Kalgo 90 (94%).
Conclusion The consistently high entomology indices, measured protection gaps, productive and abundant larval
habitats situated near human habitations throughout the year indicate the need for complementary vector control
interventions, such as larval source management (LSM) in Kebbi State.
Keywords Larval source management, Kebbi, Malaria vectors, Nigeria, Remote sensing, GIS, Mapping, Habitat
characterization
Background
Malaria remains a major public health challenge and is
the leading cause of morbidity and mortality in Nigeria
[1]. According to the World Malaria Report, there were
249 million cases globally in 85 malaria endemic countries in 2023. Nigeria was first among the 29 countries
accounting for 95% of the global cases, and first (at 31.1%)
among the four countries accounting for nearly half of all
malaria deaths worldwide in 2022 [2].
Nigeria, with malaria cases estimated at 68 million
and deaths from malaria at 194,000 in 2022 [1], has been
identified as one of 11 high burdens to high impact countries. Between 2019 and 2022, there was an increase of
about 5.3 million estimated cases in the country [2]. Out
of 36 states and the Federal Capital Territory, Kebbi State
contributed an estimated 3.1% of the 68 million malaria
cases in 2021, and children under 5 years accounted for
49% of the cases. This makes Kebbi the state with the
highest malaria burden in Nigeria [3, 4].
Malaria burden is driven by multiple factors ranging from socioeconomic to ecological. Ecologically, rice
fields have been reported as major contributors to the
proliferation of competent malaria vector species in
countries with high malaria transmission [5–7] including Nigeria. Leading rice producing areas in Nigeria are
Kebbi (the major producer in northern Nigeria), Borno,
Kano, and Kaduna [8, 9] states. Kebbi State has several
hectares of fadama (Hausa for “irrigable lowland”) farming stretching across 15 out of the 21 local government
areas (LGAs) in the state, and rice farming has become
a mainstream commercial activity, reducing the need for
importation [9].
Traditional rain-fed rice farming in Kebbi has been
driven by rainfall and suitable ‘tableland’ topography,
which encourages water retention. The access of small
holder farmers to the government’s Anchors Borrowers Programme, an initiative to support the production
of agricultural commodities such as rice, maize, sugarcane and wheat, has further increased farmer incomes
due to multiple rice harvests in the year, made possible
through irrigation [10, 11]. Rice fields now are flooded
by rain during the rainy season and irrigated via other
water sources such as solar/fuel-powered boreholes
during the dry season [12]. These newer irrigation
practices create and maintain mosquito larval habitats
in drier months, wh (...truncated)