Table 5.
The correlation of dengue incidence with six genetic indices among Ae. albopictus populations in different provinces
| Province | Allelic richness | Private allelic richness | Ne | SI | Ho | FIS | Annual dengue casesa |
|---|---|---|---|---|---|---|---|
| Hainan | 7.171 | 0.181 | 4.754 | 1.748 | 0.548 | 0.278 | 56 |
| Guangdong | 6.453 | 0.047 | 3.983 | 1.559 | 0.633 | 0.093 | 9541 |
| Yunnan | 7.263 | 0.418 | 4.718 | 1.682 | 0.592 | 0.204 | 1548 |
| Guangxi | 6.183 | 0.094 | 3.542 | 1.459 | 0.591 | 0.152 | 371 |
| Guizhou | 6.106 | 0.005 | 3.784 | 1.487 | 0.577 | 0.159 | 3 |
| Chongqing | 6.530 | 0.029 | 4.485 | 1.586 | 0.647 | 0.081 | 42 |
| Sichuan | 6.320 | 0.016 | 4.000 | 1.530 | 0.561 | 0.214 | 20 |
| Hunan | 5.506 | 0.025 | 3.539 | 1.359 | 0.518 | 0.209 | 37 |
| Jiangxi | 6.379 | 0.090 | 3.982 | 1.539 | 0.553 | 0.195 | 16 |
| Hubei | 5.994 | 0.052 | 3.949 | 1.490 | 0.546 | 0.213 | 23 |
| Shanxi (west) | 5.579 | 0.000 | 3.657 | 1.394 | 0.644 | 0.028 | 11 |
| Zhejiang | 5.704 | 0.129 | 3.678 | 1.409 | 0.628 | 0.018 | 59 |
| Henan | 6.134 | 0.094 | 3.981 | 1.530 | 0.658 | 0.059 | 17 |
| Shandong | 5.811 | 0.002 | 3.917 | 1.447 | 0.582 | 0.136 | 9 |
| Shanxi (east) | 5.697 | 0.011 | 3.785 | 1.422 | 0.551 | 0.183 | 1 |
| Hebei | 5.827 | 0.001 | 3.855 | 1.434 | 0.564 | 0.133 | 8 |
| Tianjin | 5.713 | 0.002 | 3.435 | 1.359 | 0.633 | 0.031 | 4 |
| Beijing | 5.653 | 0.000 | 3.455 | 1.379 | 0.600 | 0.076 | 69 |
| Liaoning | 4.904 | 0.001 | 3.183 | 1.236 | 0.597 | 0.001 | 7 |
| Pearson’s correlation coefficientb | 0.530 | 0.551 | 0.353 | 0.455 | 0.210 | 0.089 | |
| P-value | 0.020 | 0.015 | 0.139 | 0.051 | 0.388 | 0.717 |
aFrom 2011 to 2015 (per 100,000,000 persons)
bThe annual dengue case data was rescaled with a log transformation using the equation Ln (µ), where µ is the number of cases per 100,000,000 people
Abbreviations: Ne, effective number of alleles; SI, Shannonʼs index; Ho, observed heterozygosity; FIS, inbreeding coefficient