Utility of mosquito surveillance data for spatial prioritization of vector control against dengue viruses in three Brazilian cities

Table 1 Candidate structures for the components of the f(x _j )

Components of *f(x* _j )	Description of hypothesis tested
1) 1	H₁: Dengue cases occur in a random spatial pattern based on the number of cases in all other neighborhoods.
2) d _ij ^α	H₂: The spatial pattern of dengue-case occurrence correlates with distance between other neighborhoods; cases are more likely to occur in neighborhoods that are closer to neighborhoods experiencing cases.
3) (1/E ^* _j)^α	H₃: The spatial pattern of dengue-case occurrence correlates with neighborhood economy values; cases are more likely to occur if neighborhoods with high-economy values are experiencing cases.
4) (1/D _j)^α	H₄: The spatial pattern of dengue-case occurrence correlates with neighborhood population density values; cases are more likely to occur if neighborhoods with high-density values are experiencing cases.

*Note that for GV and SL, there was no economy index as for Vitoria. Thus, the number of commercial buildings and the number of residences in each neighborhood were used separately as comparable economic values.

ISSN: 1756-3305