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. 2014 Feb 5;90(2):247–255. doi: 10.4269/ajtmh.13-0256

Table 4.

Characteristics of laboratory-confirmed Nipah spillover case villages (identified from 2001 to 2011) and 20,000 remotely sensed control sites inside and outside the Nipah Belt, Bangladesh (“remotely sensed sample,” N = 20,057)

Village characteristics* Units Case villages (N = 57) Nipah Belt remotely sensed controls (N = 10,000) All Nipah Belt villages (case villages and remotely sensed Nipah Belt controls) (N = 10,057) Outside belt remotely sensed controls (N = 10,000) Case villages vs. Nipah Belt remotely sensed controls P value Nipah Belt villages vs. outside belt remotely sensed controls P value
Human population density People/km2 1572 ± 2524 1381 ± 1355 1382 ± 1364 873 ± 760 0.57 < 0.0001
Percent forest cover % 22 ± 4.1 23 ± 9.8 23 ± 9.8 38 ± 27 0.04§ < 0.0001
Forest patch density No. patches/km2 0.55 ± 0.14 0.49 ± 0.20 0.49 ± 0.20 0.30 ± 0.21 0.001§ < 0.0001
Forest edge density Edge length (m)/km2 21 ± 3.6 20 ± 5.3 20 ± 5.3 16 ± 8.3 0.004§ < 0.0001
Largest forest patch index % of village 3.5 ± 1.9 6.3 ± 10 6.3 ± 10 24 ± 31 0.000§ < 0.0001
*

Data presented as means ± 1 SD.

Human population density comparison is based on a two-tailed, independent group t test; forest metric comparisons are based on χ2 results from logistic regression controlling for human population density.

In a 10 km buffer from village center.

§

The comparison of case villages to Nipah Belt controls is a Satterwaite-adjusted ±2 to account for the large difference in sample size.

Percent of village area occupied by the largest forest patch.