Larval Indices of Vector Mosquitoes as Predictors of Dengue Epidemics: An Approach to Manage Dengue Outbreaks Based on Entomological Parameters in the Districts of Colombo and Kandy, Sri Lanka
Table 1
Pearson’s correlation coefficients for the association between the dengue cases and the larval indices at lag periods of zero, one, and two months in the study areas.
District
MOH area
BIagp
BIalb
HI
CI
BIagp
BIalb
HI
CI
BIagp
BIalb
HI
CI
Colombo
Dehiwala
0.309
-0.181
-0.119
0.120
0.471
-0.270
-0.287
0.197
0.685
-0.287
-0.387
0.158
Kaduwela
0.357
-0.212
-0.149
0.046
0.479
-0.294
-0.304
0.102
0.742
-0.321
-0.574
0.194
Kolonnawa
0.337
-0.146
-0.209
0.141
0.439
-0.242
-0.357
0.189
0.724
-0.287
-0.491
0.234
Piliyandala
0.243
-0.241
-0.278
0.059
0.411
-0.267
-0.378
0.146
0.587
-0.367
-0.472
0.159
Moratuwa
0.342
-0.175
-0.267
0.173
0.580
0.294
-0.352
0.214
0.767
-0.285
-0.549
0.167
Kandy
KMC & GK
0.321
-0.254
-0.278
0.148
0.459
-0.347
-0.480
0.281
0.764
-0.310
-0.512
0.375
Akurana
0.313
-0.310
-0.307
0.211
0.419
-0.358
-0.368
0.385
0.676
-0.362
-0.387
0.349
Gampola
0.287
-0.291
-0.235
0.165
0.387
-0.371
-0.379
0.293
0.648
-0.354
-0.413
0.194
Kundasale
0.257
-0.243
-0.269
0.107
0.409
-0.310
-0.374
0.189
0.629
-0.297
0.398
0.204
Note: “” indicate significant relationships among the dengue cases and larval indices at different lag periods, where at 95% level of confidence.
