@article{fdi:010060844,
  title = {{A}nalyzing the spatio-temporal relationship between dengue vector larval density and land-use using factor analysis and spatial ring mapping},
  author = {{S}arfraz, {M}. {S}. and {T}ripathi, {N}. {K}. and {T}ipdecho, {T}. and {T}hongbu, {T}. and {K}erdthong, {P}. and {S}ouris, {M}arc},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {D}engue, a mosquito-borne febrile viral disease, is found in tropical and sub-tropical regions and is now extending its range to temperate regions. {T}he spread of the dengue viruses mainly depends on vector population ({A}edes aegypti and {A}edes albopictus), which is influenced by changing climatic conditions and various land-use/land-cover types. {S}patial display of the relationship between dengue vector density and land-cover types is required to describe a near-future viral outbreak scenario. {T}his study is aimed at exploring how land-cover types are linked to the behavior of dengue-transmitting mosquitoes. {M}ethods: {S}urveys were conducted in 92 villages of {P}hitsanulok {P}rovince {T}hailand. {T}he sampling was conducted on three separate occasions in the months of {M}arch, {M}ay and {J}uly. {D}engue indices, i.e. container index ({C}.{I}.), house index ({H}.{I}.) and {B}reteau index ({B}.{I}.) were used to map habitats conducible to dengue vector growth. {S}patial epidemiological analysis using {B}ivariate {P}earson's correlation was conducted to evaluate the level of interdependence between larval density and land-use types. {F}actor analysis using principal component analysis ({PCA}) with varimax rotation was performed to ascertain the variance among land-use types. {F}urthermore, spatial ring method was used as to visualize spatially referenced, multivariate and temporal data in single information graphic. {R}esults: {R}esults of dengue indices showed that the settlements around gasoline stations/workshops, in the vicinity of marsh/swamp and rice paddy appeared to be favorable habitat for dengue vector propagation at highly significant and positive correlation (p = 0.001) in the month of {M}ay. {S}ettlements around the institutional areas were highly significant and positively correlated (p = 0.01) with {H}.{I}. in the month of {M}arch. {M}oreover, dengue indices in the month of {M}arch showed a significant and positive correlation (p <= 0.05) with deciduous forest. {T}he {H}.{I}. of people living around horticulture land were significantly and positively correlated (p = 0.05) during the month of {M}ay, and perennial vegetation showed a highly significant and positive correlation (p = 0.001) in the month of {M}arch with {C}.{I}. and significant and positive correlation (p <= 0.05) with {B}.{I}., respectively. {C}onclusions: {T}he study concluded that gasoline stations/workshops, rice paddy, marsh/swamp and deciduous forests played highly significant role in dengue vector growth. {T}hus, the spatio-temporal relationships of dengue vector larval density and land-use types may help to predict favorable dengue habitat, and thereby enables public healthcare managers to take precautionary measures to prevent impending dengue outbreak.},
  keywords = {{THAILANDE}},
  booktitle = {},
  journal = {{B}mc {P}ublic {H}ealth},
  volume = {12},
  numero = {},
  pages = {853},
  ISSN = {1471-2458},
  year = {2012},
  DOI = {10.1186/1471-2458-12-853},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060844},
}