2015
DOI: 10.4081/gh.2015.302
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Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

Abstract: Many entomological studies have analyzed remotely sensed data to assess the relationship between malaria vector distribution and the associated environmental factors. However, the high cost of remotely sensed products with high spatial resolution has often resulted in analyses being conducted at coarse scales using open-source, archived remotely sensed data. In the present study, spatial prediction of potential breeding sites based on multi-scale remotely sensed information in conjunction with entomological da… Show more

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Cited by 26 publications
(30 citation statements)
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“…Correlations among climatic parameters, mosquito development, and parasite life cycle (specifically extrinsic incubation period) have been noted elsewhere [3234]. Dlamini et al constructed multiple models that correlate mosquito larva abundance with 4 weeks lagged land surface temperature [35]. The non-linear patterns of temperature and precipitation relevant to malaria transmission have been discussed as well [36, 37].…”
Section: Discussionmentioning
confidence: 99%
“…Correlations among climatic parameters, mosquito development, and parasite life cycle (specifically extrinsic incubation period) have been noted elsewhere [3234]. Dlamini et al constructed multiple models that correlate mosquito larva abundance with 4 weeks lagged land surface temperature [35]. The non-linear patterns of temperature and precipitation relevant to malaria transmission have been discussed as well [36, 37].…”
Section: Discussionmentioning
confidence: 99%
“…14 Transmission of malaria occurs primarily during the rainy season, between November and May. 15 Swaziland has a total of 287 health care facilities, of which eight are hospitals, five are health centres (hospitals with minimal in-patient capacity), five are public health units and the remainder are clinics. Of the 287 facilities, 40% are owned by government, 30% by private interests, 12% by missions, 11% by industry and the remaining 7% by non-governmental organisations (NGOs).…”
Section: General Settingmentioning
confidence: 99%
“…Using these data the authors produced predictive weather-based maps of the distribution of adult anophelines. A number of other studies have produced maps of predicted anopheline density based upon models of larval data, human biting rates, and satellite derived remotely sensed data [68,69].…”
Section: Risk Mapping Post-eliminationmentioning
confidence: 99%