The effect of irrigation on malaria vector bionomics and transmission intensity in western Ethiopia
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Abstract Background Irrigation schemes may result in subsequent changes in malaria disease dynamics. Understanding the mechanisms and effects of irrigation on malaria vector bionomics and transmission intensity is essential to develop new or alternative surveillance and control strategies to reduce or control malaria risk. This study was designed to assess the effect of rice irrigation on malaria vector bionomics and transmission intensity in the Gambella Region, Ethiopia. Methods Comparative cross-sectional study was conducted in Abobo District of the Gambella Region, Ethiopia. Accordingly, clusters (kebeles) were classified into nearby and faraway clusters depending on their proximity to the irrigation scheme. Adult mosquito survey was conducted in February, August and November 2018 from three nearby and three faraway clusters using Centers for Disease Control and Prevention (CDC) light traps (LTs). During the November survey, human landing catch (HLC) and pyrethrum spray catch (PSC) were also conducted. The collected mosquitoes were morphologically identified to species and tested for Plasmodium infection using circumsporozoite protein enzyme-linked immunosorbent assay (CSP-ELISA). Furthermore, species-specific polymerase chain reaction (PCR) was performed to identify member species of the Anopheles gambiae complex. Chi-square and t-tests were used to analyze the data using the SPSS version 20 software package. Results A total of 4319 female anopheline mosquitoes comprising An. gambiae sensu lato, An. funestus group, An. pharoensis, An. coustani complex and An. squamosus were collected. Overall, 84.5% and 15.5% of the anopheline mosquitoes were collected from the nearby and faraway clusters, respectively. Anopheles gambiae s.l. was the predominant (56.2%) anopheline species in the area followed by An. pharoensis (15.7%). The density of anopheline mosquitoes was significantly higher in the nearby clusters in both HLCs [t(3) = 5.14, P = 0.0143] and CDC LT catches [t(271.97) = 7.446, P < 0.0001). The overall sporozoite rate of anopheline species from the nearby clusters was 10-fold higher compared to the faraway clusters. Conclusions Significantly higher mosquito population density was observed in areas close to the irrigation sites. Sporozoite infection rate in the mosquito population was also markedly higher from the nearby clusters. Therefore, the irrigation scheme could increase the risk of malaria in the area. Graphical abstract
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Past studies have chiefly demonstrated the association between irrigation and increased malaria risk by statistical relationships based on field observations.
“In past studies, the association has been chiefly demonstrated by statistical relationships based on field observations (Haileselassie et al., 2021; Kibret et al., 2014; Ondeto et al., 2022).”
From Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission Using a Hydrology‐Based Model (2023) · cites this paper as Haileselassie et al., 2021
The Methods (no page supplied) describe a comparative cross-sectional field study that compared clusters near and far from irrigation using statistical tests; the Discussion reports higher malaria-transmission indicators near irrigation. The Background says some earlier studies demonstrated increased risk mainly through entomological parameters, but the paper does not establish that past studies chiefly relied on statistical relationships based on field observations. (LLM, conf=0.82)
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Al-Eryani, S. M., Irish, S. R., Carter, T. E., Lenhart, A., Aljasari, A., Montoya, L. F., Awash, A. A., Mohammed, E., Ali, S., Esmail, M. A., et al. (2023) · Malaria Journal · doi:10.1186/s12936-023-04545-y · Cited by 57 · see citing works
Jiang, A., Lee, M., Selvaraj, P., Degefa, T., Getachew, H., Merga, H., Yewhalaw, D., Yan, G., & Hsu, K. (2023) · GeoHealth · doi:10.1029/2023gh000868 · Cited by 3 · see citing works
“In past studies, the association has been chiefly demonstrated by statistical relationships based on field observations (Haileselassie et al., 2021; Kibret et al., 2014; Ondeto et al., 2022).”
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- Authors
- Haileselassie, W., Zemene, E., Lee, M.-C., Zhong, D., Zhou, G., Taye, B., Dagne, A., Deressa, W., Kazura, J. W., Yan, G., & Yewhalaw, D.
- Affiliations
- Addis Ababa University (ET)
- Jimma University (ET)
- University of California, Irvine (US)
- Mattu University (ET)
- Case Western Reserve University (US)
- Corresponding author
- Zemene, Endalew
- ORCID
- Venue
- Parasites & Vectors
- Published
- 2021-10-07
- Volume
- 14
- Issue
- 1
- Pages
- 516-516
- ISSN
- 1756-3305 (ISSN-L)
- PMC
- PMC8500124
- OpenAlex
- W3203429656
- Cited by
- 35
- References
- 1
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 7 · 2023: 9 · 2022: 8 · 2021: 1
- FWCI
- 5.42
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-11-18)
- Open access
- gold
- doi.org
- Locations
- Parasites & Vectors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (U19 AI089672, D43 TW009527)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mosquito-borne diseases and control
- Life Sciences › Immunology and Microbiology › Parasitology › Bird parasitology and diseases
- Keywords
- malaria vectors, Anopheles gambiae s.l., vector bionomics, malaria transmission intensity, sporozoite rate, mosquito abundance, rice irrigation, Anopheles pharoensis, Anopheles funestus group, Anopheles squamosus, Plasmodium infection in mosquitoes, Gambella, Abobo
- MeSH terms
- Mosquito Vectors, Animals, Anopheles, Cross-Sectional Studies, Ecology, Ethiopia, Feeding Behavior, Female, Humans, Malaria, Plasmodium falciparum, Population Density, Oryza, Sporozoites, Agricultural Irrigation
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