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Cited by 14Malaria Research and ControlMosquito-borne diseases and controlHydrology and Watershed Management Studies

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Predicting distribution of malaria vector larval habitats in Ethiopia by integrating distributed hydrologic modeling with remotely sensed data

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Jiang, Ai-Ling, Lee, Ming-Chieh, Zhou, Guofa, Zhong, Daibin, Hawaria, Dawit, Kibret, Solomon, Yewhalaw, Delenasaw, Sanders, Brett F., Yan, Guiyun, Hsu, Kuolin·2021·Scientific Reports
DOI 10.1038/s41598-021-89576-8PMC PMC8115507
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Abstract

Larval source management has gained renewed interest as a malaria control strategy in Africa but the widespread and transient nature of larval breeding sites poses a challenge to its implementation. To address this problem, we propose combining an integrated high resolution (50 m) distributed hydrological model and remotely sensed data to simulate potential malaria vector aquatic habitats. The novelty of our approach lies in its consideration of irrigation practices and its ability to resolve complex ponding processes that contribute to potential larval habitats. The simulation was performed for the year of 2018 using ParFlow-Common Land Model (CLM) in a sugarcane plantation in the Oromia region, Ethiopia to examine the effects of rainfall and irrigation. The model was calibrated using field observations of larval habitats to successfully predict ponding at all surveyed locations from the validation dataset. Results show that without irrigation, at least half of the area inside the farms had a 40% probability of potential larval habitat occurrence. With irrigation, the probability increased to 56%. Irrigation dampened the seasonality of the potential larval habitats such that the peak larval habitat occurrence window during the rainy season was extended into the dry season. Furthermore, the stability of the habitats was prolonged, with a significant shift from semi-permanent to permanent habitats. Our study provides a hydrological perspective on the impact of environmental modification on malaria vector ecology, which can potentially inform malaria control strategies through better water management.

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Metadata

Authors
Jiang, A.-L., Lee, M.-C., Zhou, G., Zhong, D., Hawaria, D., Kibret, S., Yewhalaw, D., Sanders, B. F., Yan, G., & Hsu, K.
Affiliations
  • University of California, Irvine (US)
  • Jimma University (ET)
Corresponding author
  • Jiang, Ai-Ling
  • Yan, Guiyun
  • Hsu, Kuolin
ORCID
Venue
Scientific Reports
Publisher
Springer Science and Business Media LLC
Published
2021-05-12
Volume
11
Issue
1
Pages
10150-10150
ISSN
2045-2322 (ISSN-L)
DOI
10.1038/s41598-021-89576-8
PMC
PMC8115507
OpenAlex
W3162400946
Cited by
14
References
2
Citations by year
2025: 1 · 2024: 5 · 2023: 3 · 2022: 4 · 2021: 1
FWCI
2.82
Type
journal article
Language
en
Open access
Licence
Locations
  • Scientific Reports (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)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
  • Greater South Information System
Funders
  • National Institutes of Health (U19 AI129326)
  • U.S. Department of Energy (DOE Prime Award DEIA0000018)
  • National Aeronautics and Space Administration (MIRO NNX15AQ06A)
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
  • Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
Keywords
larval source management, distributed hydrological model, ponding, sugar plantations, habitat stability, malaria control, water management, Oromia, Ethiopia
MeSH terms
Mosquito Vectors, Algorithms, Animals, Disease Vectors, Ethiopia, Geography, Humans, Larva, Malaria, Models, Theoretical, Seasons, Ecosystem, Hydrology, Spatio-Temporal Analysis

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