Remotely-sensed land use patterns and the presence of Anopheles larvae (Diptera: Culicidae) in Sukabumi, West Java, Indonesia

Mosquito-borne diseases affect millions of people worldwide. In the United States, since 1999, West Nile Virus (WNV) has infected 36,801 people and has caused the deaths of 1,580. In California, since 2002, nearly 3,600 people have been infected with WNV with an additional 124 fatalities. Analyses of remotely-and spatially-based data have proven to facilitate the study of mosquito-borne diseases, including WNV. This study proposes an efficient procedure to identify swimming pools that may serve as potential mosquito habitat. The procedure derives the Normalized Difference Water Index (NDWI) from high resolution, multi-spectral imagery to detect the presence of surface water, and then incorporates vector-based data layers within a GIS to identify residential land parcels with detectable water. This study compared the parcels identified as having water (535) with parcels known to have swimming pools (682) resulting in an accuracy of 78.4%. Nineteen of the 147 land parcels with swimming pools had backyards with enough vegetation to obscure the presence of a swimming pool from the satellite. The remaining 128 parcels lacked enough surface water for the NDWI to indicate them as actually having surface water. It is likely then that swimming pools, associated with such parcels, may have enough water in them to provide adequate habitat for mosquitoes, and so field inspection by mosquito abatement personnel would be justified.

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“…The use of high resolution imagery has made the identification of potential mosquito habitats more effective [14,36,37].…”

Section: Discussionmentioning

confidence: 99%

“…QuickBird (blue, green, red, and near infrared wavelengths) at 2.44 m resolution in their ability to identify mosquito habitat [14]. Their findings included that, although both did well in their ability to identify mosquito habitats, the less expensive ASTER data performed well enough to be used instead of the more costly QuickBird data.…”

Section: Introductionmentioning

confidence: 99%

Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach

2013

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“…Locating land use patterns across the vector breeding sites and using remotely sensed climatic environmental factors, particularly temperature, humidity, and rainfall as they correlate to malaria outbreaks, could provide useful information on the planning of vector control in this region. This same approach was applied in Indonesia and revealed malaria vector abundance in certain areas where malaria control programs were then implemented with much success [31]. The topographic variable can also be remotely-sensed to predict malaria vector's breeding site in malaria endemic areas [32].…”

Section: Spatially Explicit Mathematical Modelsmentioning

confidence: 99%

Geospatial Technology: A Tool to Aid in the Elimination of Malaria in Bangladesh

Kirk

Haq

Alam

et al. 2014

IJGI

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Bangladesh is a malaria endemic country. There are 13 districts in the country bordering India and Myanmar that are at risk of malaria. The majority of malaria morbidity and mortality cases are in the Chittagong Hill Tracts, the mountainous southeastern region of Bangladesh. In recent years, malaria burden has declined in the country. In this study, we reviewed and summarized published data (through 2014) on the use of geospatial technologies on malaria epidemiology in Bangladesh and outlined potential contributions of geospatial technologies for eliminating malaria in the country. We completed a literature review using "malaria, Bangladesh" search terms and found 218 articles published in peer-reviewed journals listed in PubMed. After a detailed review, 201 articles were excluded because they did not meet our inclusion criteria, 17 articles were selected for final evaluation. Published studies indicated geospatial technologies tools (Geographic Information System, Global Positioning System, and Remote Sensing) were used to determine vector-breeding sites, land cover classification, accessibility to health facility, treatment seeking behaviors, and risk mapping at the household, regional, and national levels in Bangladesh. To achieve the goal of malaria elimination in Bangladesh, we concluded that further research using geospatial technologies should be integrated into the country's ongoing surveillance system to identify and better assess progress towards malaria elimination.

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“…Finally, the spatial-temporal characteristics of larval sites should be more accurately defined, for instance, by using high resolution satellite data (e.g. Dambach et al, 2009;Mushinzimana et al, 2006;Stoops et al, 2008) and including information about the existence of permanent or periodical flooding (Pope et al, 1994;Soti et al, 2009). Although larval habitats may not be directly detectable through remote sensing, satellite data can be used as a proxy to identify land covers where habitats are likely to occur (e.g.…”

Section: Larval Habitat Suitabilitymentioning

confidence: 99%

Satellite-derived estimation of environmental suitability for malaria vector development in Portugal

Benali

Nunes

Freitas

et al. 2014

Remote Sensing of Environment

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Malaria was endemic in Europe for more than two millennia until its eradication in the 1970s. Recent autochthonous cases registered in Greece have increased the awareness regarding the threat of malaria re-emergence in Southern Europe. Currently, the presence of competent vectors, suitable environmental conditions and the evidences of a changing climate may increase the widespread re-emergence of malaria in Southern Europe. This work focused on determining the current relationships between environmental factors and the density of the former malaria vector Anopheles atroparvus in Portugal, a previously endemic country. Adult females were sampled and vector density was estimated in 22 sites in Southern Portugal between 2001 and 2010 and related with land cover and satellite-derived air temperature and vegetation indices. The relationship between vector density and local larval habitat, temperature and, in a broader sense, to environmental suitability, was assessed using a statistical modelling approach. Results showed that present environmental conditions are suitable for vector development at high densities and the spatial and temporal patterns closely resemble the ones registered in the past endemic period. The use of satellite-derived data, together with statistical models, allowed the extrapolation of suitable environmental conditions for vector development from site-level to the Portuguese mainland territory. This work also improved the baseline knowledge needed to understand the potential impacts of future environmental changes on vector density and, indirectly, on the risk of malaria re-emergence.

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Remotely-sensed land use patterns and the presence of Anopheles larvae (Diptera: Culicidae) in Sukabumi, West Java, Indonesia

Cited by 26 publications

References 1 publication

Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach

Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach

Geospatial Technology: A Tool to Aid in the Elimination of Malaria in Bangladesh

Satellite-derived estimation of environmental suitability for malaria vector development in Portugal

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