@article{fdi:010053098,
  title = {{S}patio-temporal diffusion pattern and hotspot detection of dengue in {C}hachoengsao province, {T}hailand},
  author = {{J}eefoo, {P}. and {T}ripathi, {N}. {K}. and {S}ouris, {M}arc},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n recent years, dengue has become a major international public health concern. {I}n {T}hailand it is also an important concern as several dengue outbreaks were reported in last decade. {T}his paper presents a {GIS} approach to analyze the spatial and temporal dynamics of dengue epidemics. {T}he major objective of this study was to examine spatial diffusion patterns and hotspot identification for reported dengue cases. {G}eospatial diffusion pattern of the 2007 dengue outbreak was investigated. {M}ap of daily cases was generated for the 153 days of the outbreak. {E}pidemiological data from {C}hachoengsao province, {T}hailand (reported dengue cases for the years 1999-2007) was used for this study. {T}o analyze the dynamic space-time pattern of dengue outbreaks, all cases were positioned in space at a village level. {A}fter a general statistical analysis (by gender and age group), data was subsequently analyzed for temporal patterns and correlation with climatic data (especially rainfall), spatial patterns and cluster analysis, and spatio-temporal patterns of hotspots during epidemics. {T}he results revealed spatial diffusion patterns during the years 1999-2007 representing spatially clustered patterns with significant differences by village. {V}illages on the urban fringe reported higher incidences. {T}he space and time of the cases showed outbreak movement and spread patterns that could be related to entomologic and epidemiologic factors. {T}he hotspots showed the spatial trend of dengue diffusion. {T}his study presents useful information related to the dengue outbreak patterns in space and time and may help public health departments to plan strategies to control the spread of disease. {T}he methodology is general for space-time analysis and can be applied for other infectious diseases as well.},
  keywords = {dengue ; spatial statistics ; temporal analysis ; space-time cluster ; hotspot ; {G}eographic {I}nformation {S}ystems ({GIS})},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {E}nvironmental {R}esearch and {P}ublic {H}ealth},
  volume = {8},
  numero = {1},
  pages = {51--74},
  ISSN = {1660-4601},
  year = {2011},
  DOI = {10.3390/ijerph8010051},
  URL = {https://www.documentation.ird.fr/hor/fdi:010053098},
}