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Influence of landscape heterogeneity on entomological and parasitological indices of malaria in Kisumu, Western Kenya

BACKGROUND: Identification and characterization of larval habitats, documentation of Anopheles spp. composition and abundance, and Plasmodium spp. infection burden are critical components of integrated vector management. The present study aimed to investigate the effect of landscape heterogeneity on...

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Autores principales: Otambo, Wilfred Ouma, Onyango, Patrick O., Wang, Chloe, Olumeh, Julius, Ondeto, Benyl M., Lee, Ming-Chieh, Atieli, Harrysone, Githeko, Andrew K., Kazura, James, Zhong, Daibin, Zhou, Guofa, Githure, John, Ouma, Collins, Yan, Guiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516797/
https://www.ncbi.nlm.nih.gov/pubmed/36167549
http://dx.doi.org/10.1186/s13071-022-05447-9
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author Otambo, Wilfred Ouma
Onyango, Patrick O.
Wang, Chloe
Olumeh, Julius
Ondeto, Benyl M.
Lee, Ming-Chieh
Atieli, Harrysone
Githeko, Andrew K.
Kazura, James
Zhong, Daibin
Zhou, Guofa
Githure, John
Ouma, Collins
Yan, Guiyun
author_facet Otambo, Wilfred Ouma
Onyango, Patrick O.
Wang, Chloe
Olumeh, Julius
Ondeto, Benyl M.
Lee, Ming-Chieh
Atieli, Harrysone
Githeko, Andrew K.
Kazura, James
Zhong, Daibin
Zhou, Guofa
Githure, John
Ouma, Collins
Yan, Guiyun
author_sort Otambo, Wilfred Ouma
collection PubMed
description BACKGROUND: Identification and characterization of larval habitats, documentation of Anopheles spp. composition and abundance, and Plasmodium spp. infection burden are critical components of integrated vector management. The present study aimed to investigate the effect of landscape heterogeneity on entomological and parasitological indices of malaria in western Kenya. METHODS: A cross-sectional entomological and parasitological survey was conducted along an altitudinal transect in three eco-epidemiological zones: lakeshore along the lakeside, hillside, and highland plateau during the wet and dry seasons in 2020 in Kisumu County, Kenya. Larval habitats for Anopheles mosquitoes were identified and characterized. Adult mosquitoes were sampled using pyrethrum spray catches (PSC). Finger prick blood samples were taken from residents and examined for malaria parasites by real-time PCR (RT-PCR). RESULTS: Increased risk of Plasmodium falciparum infection was associated with residency in the lakeshore zone, school-age children, rainy season, and no ITNs (χ(2) = 41.201, df = 9, P < 0.0001). Similarly, lakeshore zone and the rainy season significantly increased Anopheles spp. abundance. However, house structures such as wall type and whether the eave spaces were closed or open, as well as the use of ITNs, did not affect Anopheles spp. densities in the homes (χ(2) = 38.695, df = 7, P < 0.0001). Anopheles funestus (41.8%) and An. arabiensis (29.1%) were the most abundant vectors in all zones. Sporozoite prevalence was 5.6% and 3.2% in the two species respectively. The lakeshore zone had the highest sporozoite prevalence (4.4%, 7/160) and inoculation rates (135.2 infective bites/person/year). High larval densities were significantly associated with lakeshore zone and hillside zones, animal hoof prints and tire truck larval habitats, wetland and pasture land, and the wet season. The larval habitat types differed significantly across the landscape zones and seasonality (χ(2) = 1453.044, df = 298, P < 0.0001). CONCLUSION: The empirical evidence on the impact of landscape heterogeneity and seasonality on vector densities, parasite transmission, and Plasmodium infections in humans emphasizes the importance of tailoring specific adaptive environmental management interventions to specific landscape attributes to have a significant impact on transmission reduction. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-022-05447-9.
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spelling pubmed-95167972022-09-29 Influence of landscape heterogeneity on entomological and parasitological indices of malaria in Kisumu, Western Kenya Otambo, Wilfred Ouma Onyango, Patrick O. Wang, Chloe Olumeh, Julius Ondeto, Benyl M. Lee, Ming-Chieh Atieli, Harrysone Githeko, Andrew K. Kazura, James Zhong, Daibin Zhou, Guofa Githure, John Ouma, Collins Yan, Guiyun Parasit Vectors Research BACKGROUND: Identification and characterization of larval habitats, documentation of Anopheles spp. composition and abundance, and Plasmodium spp. infection burden are critical components of integrated vector management. The present study aimed to investigate the effect of landscape heterogeneity on entomological and parasitological indices of malaria in western Kenya. METHODS: A cross-sectional entomological and parasitological survey was conducted along an altitudinal transect in three eco-epidemiological zones: lakeshore along the lakeside, hillside, and highland plateau during the wet and dry seasons in 2020 in Kisumu County, Kenya. Larval habitats for Anopheles mosquitoes were identified and characterized. Adult mosquitoes were sampled using pyrethrum spray catches (PSC). Finger prick blood samples were taken from residents and examined for malaria parasites by real-time PCR (RT-PCR). RESULTS: Increased risk of Plasmodium falciparum infection was associated with residency in the lakeshore zone, school-age children, rainy season, and no ITNs (χ(2) = 41.201, df = 9, P < 0.0001). Similarly, lakeshore zone and the rainy season significantly increased Anopheles spp. abundance. However, house structures such as wall type and whether the eave spaces were closed or open, as well as the use of ITNs, did not affect Anopheles spp. densities in the homes (χ(2) = 38.695, df = 7, P < 0.0001). Anopheles funestus (41.8%) and An. arabiensis (29.1%) were the most abundant vectors in all zones. Sporozoite prevalence was 5.6% and 3.2% in the two species respectively. The lakeshore zone had the highest sporozoite prevalence (4.4%, 7/160) and inoculation rates (135.2 infective bites/person/year). High larval densities were significantly associated with lakeshore zone and hillside zones, animal hoof prints and tire truck larval habitats, wetland and pasture land, and the wet season. The larval habitat types differed significantly across the landscape zones and seasonality (χ(2) = 1453.044, df = 298, P < 0.0001). CONCLUSION: The empirical evidence on the impact of landscape heterogeneity and seasonality on vector densities, parasite transmission, and Plasmodium infections in humans emphasizes the importance of tailoring specific adaptive environmental management interventions to specific landscape attributes to have a significant impact on transmission reduction. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-022-05447-9. BioMed Central 2022-09-27 /pmc/articles/PMC9516797/ /pubmed/36167549 http://dx.doi.org/10.1186/s13071-022-05447-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Otambo, Wilfred Ouma
Onyango, Patrick O.
Wang, Chloe
Olumeh, Julius
Ondeto, Benyl M.
Lee, Ming-Chieh
Atieli, Harrysone
Githeko, Andrew K.
Kazura, James
Zhong, Daibin
Zhou, Guofa
Githure, John
Ouma, Collins
Yan, Guiyun
Influence of landscape heterogeneity on entomological and parasitological indices of malaria in Kisumu, Western Kenya
title Influence of landscape heterogeneity on entomological and parasitological indices of malaria in Kisumu, Western Kenya
title_full Influence of landscape heterogeneity on entomological and parasitological indices of malaria in Kisumu, Western Kenya
title_fullStr Influence of landscape heterogeneity on entomological and parasitological indices of malaria in Kisumu, Western Kenya
title_full_unstemmed Influence of landscape heterogeneity on entomological and parasitological indices of malaria in Kisumu, Western Kenya
title_short Influence of landscape heterogeneity on entomological and parasitological indices of malaria in Kisumu, Western Kenya
title_sort influence of landscape heterogeneity on entomological and parasitological indices of malaria in kisumu, western kenya
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516797/
https://www.ncbi.nlm.nih.gov/pubmed/36167549
http://dx.doi.org/10.1186/s13071-022-05447-9
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