Objective To calculate the weights of quality assessment indicators of vector density surveillance in Hebei province, China by the analytic hierarchy process (AHP), and to rank those indicators in the order of their influence on quality of surveillance. Methods Based on the achievement data on density surveillance and quality control of four vectors in both cities and counties of Hebei province from 2014 to 2015, AHP was applied to construct a judgment matrix and calculate the weights of assessment indicators. Results The main influencing indicators of quality of rodent surveillance were coincidence rate of distribution of surveillance points, coincidence rate of selection of surveillance points, and coincidence rate of species of specimens, with the weights of 0.197 0, 0.197 0, and 0.175 6, respectively. The main influencing indicators of quality of mosquito surveillance were coincidence rate of surveillance time, coincidence rate of distribution of surveillance points, coincidence rate of selection of surveillance points, coincidence rate of quantity of specimens, and coincidence rate of species of specimens, with the weights of 0.204 5, 0.136 4, 0.136 4, 0.136 4, and 0.136 4, respectively. The main influencing indicators of quality of fly surveillance were coincidence rate of species of specimens, coincidence rate of distribution of surveillance points, and coincidence rate of selection of surveillance points, with the weights of 0.235 1, 0.156 7, and 0.156 7, respectively. The main influencing indicators of quality of cockroach surveillance were coincidence rate of quantity of specimens, coincidence rate of distribution of surveillance points, and coincidence rate of selection of surveillance points, with the weights of 0.235 1, 0.156 7, and 0.156 7, respectively. Conclusion AHP can be used to assess the quality of vector density surveillance. The weights of indicators can reflect the relative importance of different indicators in the quality of density surveillance of four vectors. It can provide a reference for the quality control of vector density surveillance.
MA Li-hua, HUANG Gang, WANG Xi-ming
. A quality assessment method based on the analytic hierarchy process for vector density surveillance in Hebei province, China[J]. Chinese Journal of Vector Biology and Control, 2019
, 30(6)
: 634
-638
.
DOI: 10.11853/j.issn.1003.8280.2019.06.009
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