ArticleMalaria journal2014
Evaluating local vegetation cover as a risk factor for malaria transmission: a new analytical approach using ImageJ.
Article in Malaria journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
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- Entomological Profiles of Households in Plasmodium falciparum Case Foci and Comparison Areas in Grand'Anse, Haiti.The American journal of tropical medicine and hygiene · 2025Article
- Modelling the impact of climatic and environmental variables on malaria incidence in Tanzania: Implications for achieving the WHO's 2030 Targets.PLOS global public health · 2025Article
- COVERater-A Free Application for Training Researchers to Accurately Estimate Species Cover in Terrestrial and Aquatic Ecosystems.Ecology and evolution · 2024Article
- Vegetation index and livestock practices as predictors of malaria transmission in Nigeria.Scientific reports · 2024Article
- Geospatial based model for malaria risk prediction in Kilombero valley, South-eastern, Tanzania.PloS one · 2023Article
- Associations between environmental covariates and temporal changes in malaria incidence in high transmission settings of Uganda: a distributed lag nonlinear analysis.BMC public health · 2021Article
- Satellite Observations and Malaria: New Opportunities for Research and Applications.Trends in parasitology · 2021Review
- Evaluating the Effects of Climate and Environmental Factors on Under-5 Children Malaria Spatial Distribution Using Generalized Additive Models (GAMs).Journal of epidemiology and global health · 2020Article
- Malaria Risk Map Using Spatial Multi-Criteria Decision Analysis along Yunnan Border During the Pre-elimination Period.The American journal of tropical medicine and hygiene · 2020Article
- Improving the efficiency of reactive case detection for malaria elimination in southern Zambia: a cross-sectional study.Malaria journal · 2020Article
- Article
- Time series analysis of malaria in Afghanistan: using ARIMA models to predict future trends in incidence.Malaria journal · 2016Article
- Assessing temporal associations between environmental factors and malaria morbidity at varying transmission settings in Uganda.Malaria journal · 2016Article
- A novel method for mapping village-scale outdoor resting microhabitats of the primary African malaria vector, Anopheles gambiae.Malaria journal · 2016Article
- Sources of spatial animal and human health data: Casting the net wide to deal more effectively with increasingly complex disease problems.Spatial and spatio-temporal epidemiology · 2015Review
- Monitoring disease trends using hospital traffic data from high resolution satellite imagery: a feasibility study.Scientific reports · 2015Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundIn places where malaria transmission is unstable or is transmitted under hypoendemic conditions, there are periods where limited foci of cases still occur and people become infected. These residual "hot spots" are likely reservoirs of the parasite population and so are fundamental to the seasonal spread and decline of malaria. It is, therefore, important to understand the ecological conditions that permit vector mosquitoes to survive and forage in these specific areas. Features such as local waterways and vegetation, as well as local ecology, particularly nocturnal temperature, humidity, and vegetative sustainability, are important for modeling local mosquito behavior. Vegetation around a homestead likely provides refuge for outdoor resting of these insects and may be a risk factor for malaria transmission. Analysis of this vegetation can be done using satellite information and mapping programs, such as Google Earth, but manual quantification is difficult and can be tedious and subjective. A more objective method is required.
methodsVegetation cover in the environment is reasonably static, particularly in and around homesteads. In order to evaluate and enumerate such information, ImageJ, an image processing software, was used to analyse Google Earth satellite imagery. The number of plants, total amount of vegetation around a homestead and its percentage of the total area were calculated and related to homesteads where cases of malaria were recorded.
resultsPreliminary results were obtained from a series of field trials carried out in South East Zambia in the Choma and Namwala districts from a base at the Macha District Hospital.
conclusionsThis technique is objective, clear and simple to manipulate and has potential application to determine the role that vegetation proximal to houses may play in affecting mosquito behaviour, foraging and subsequent malaria incidence.
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