Show simple item record

dc.creatorTroyo Rodríguez, Adriana
dc.creatorFuller, Douglas O.
dc.creatorCalderón Arguedas, Ólger
dc.creatorBeier, John C.
dc.date.accessioned2019-02-18T17:06:45Z
dc.date.available2019-02-18T17:06:45Z
dc.date.issued2006-11
dc.identifier.citationhttp://www.ajtmh.org/content/journals/10.4269/ajtmh.2006.75.176es_ES
dc.identifier.issn1476-1645
dc.identifier.urihttps://hdl.handle.net/10669/76584
dc.descriptionASTMH 55th annual meeting, November 12-16, 2006, Atlanta Marriott Marquis Atlanta, Georgia, USA Supplement to The American Journal of Tropical Medicine and Hygienees_ES
dc.description.abstractField evaluations for studying the epidemiology of vector-borne diseases like dengue in urban areas are often restricted to selection of households and buildings for field surveys. Therefore, the resulting sampling frame may exclude specific locations within the urban environment that contain vector habitats and thus may bias the results. A sampling strategy was developed for field surveys in an urban area using high-resolution satellite imagery. The site selected was Puntarenas, a city affected by dengue on the Pacific coast of Costa Rica, for which high-resolution satellite imagery was available from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER, 15 m spatial resolution) and QuickBird (0.6 m and 2.4 m spatial resolution for panchromatic and multispectral bands, respectively). Grids obtained from the ASTER imagery and a cover map generated from the QuickBird multispectral bands were used to determine the optimal grid area of 10 000 m2 , which contain 136 houses. A final grid 42 by 42 pixels (100.8 x 100.8 m) was created using the multispectral Quickbird imagery, and cells that had an area less than 90% within one specific locality of Puntarenas were excluded. The remaining cells were grouped according to locality and a random sample (10%) was selected from each. This sample of cells would be used for field data collection on specific mosquito larval habitats by evaluating the entire area within the geographical limits of each cell. To assess the suitability of the selected grid cells, the proportion of tree area (“tree” class Kappa = 0.91) was extracted for the individual cells from the QuickBird cover map. The mean percentage of tree cover in each locality and total area was compared between the selected sample cells and the total cells of the Puntarenas image. Overall, the sample adequately represented the total area and most of the individual localities in terms of tree cover. In 8 of 10 localities the difference between the estimate (sample) and the real percentage of tree cover was less than 3%. These results show that high-resolution satellite imagery and geographical information systems are useful in evaluating urban areas and randomly selecting sections for field data collection on mosquito larval habitats that are practical, representative, and will reduce bias.es_ES
dc.description.sponsorshipUniversidad de Costa Rica/[803-A6-039]/UCR/Costa Ricaes_ES
dc.language.isoen_USes_ES
dc.relation.ispartof
dc.sourceThe American Journal of Tropical Medicine and Hygiene, vol.75(Suppl. 5), pp. 177es_ES
dc.subjectSamplinges_ES
dc.subjectSatellite imageryes_ES
dc.subjectDenguees_ES
dc.subjectPuntarenases_ES
dc.subjectCosta Ricaes_ES
dc.titleA geographical sampling strategy for field surveys in an urban area using high-resolution satellite imageryes_ES
dc.typecontribución de congresoes_ES
dc.typepóster de congreso
dc.date.updated2018-12-19T21:04:59Z
dc.identifier.doi10.4269/ajtmh.2006.75.0
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias de la Salud::Centro de Investigación en Enfermedades Tropicales (CIET)es_ES
dc.identifier.codproyecto803-A6-039


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record