目的 通过对河北省市、县级病媒生物生态监测情况进行评价，找出监测工作中存在的质量问题，指导全省完善监测工作，提高监测质量。方法 对57个市、县级质控点病媒生物监测标本统一复核鉴定，得出监测数据符合率，对各质控点8项质量评价指标量化分值，用t检验、Mann-Whitney U检验和Friedman Q检验分析得出监测符合水平。结果 河北省鼠监测数据市级平均符合率为（80.95±40.07）%，县级为（78.06±28.50）%；蚊监测数据市级平均符合率为（77.84±27.76）%，县级为（83.03±26.09）%；蝇监测数据市级平均符合率为（84.27±11.67）%，县级为（73.75±25.93）%；蜚蠊监测数据市级平均符合率为（95.59±8.53）%，县级为（85.99±18.03）%。4种病媒生物市、县级间差异均无统计学意义（P>0.05）。市级8项指标均达到“较好”及以上等级，县级7项指标达到“较好“及以上等级，市、县级均在监测点完成率、监测人员稳定性、报表及时性和监测工具符合率4个指标上得分较高，市级亟待提高的指标依次为报表填写规范性〔（3.09±0.80）分〕、监测生境符合率〔（3.32±0.81）分〕、监测数据符合率〔（3.46±1.06）分〕和监测时间符合率〔（3.64±0.98）分〕，县级依次为监测数据符合率〔（2.94±1.79）分〕、报表填写规范性〔（3.11±1.00）分〕、监测生境符合率〔（3.30±1.32）分〕和监测时间符合率〔（3.46±1.11）分〕。结论 河北省市、县级监测工作总体质量较好，但市、县同级别质控点间监测工作质量良莠不齐，市、县级均应针对各自反映出的薄弱环节补齐短板，保证监测工作质量进一步提高。
Objective To evaluate vector surveillance at municipal and county levels in Hebei province, China, and to find out quality problems in the surveillance work to guide the improvement of surveillance work and its quality in Hebei province. Methods The vector surveillance specimens from 57 municipal and county quality control points were checked, and the compliance rate of surveillance data was calculated. The scores of 8 quality evaluation indicators of each quality control point were quantified, and the t-test, Mann-Whitney U test, and Friedman Q-test were used to analyze the compliance level of monitoring. Results In Hebei province, the mean compliance rate of rodent surveillance data was (80.95±40.07)% at the municipal level and (78.06±28.50)% at the county level. For mosquito surveillance data, the mean compliance rate was (77.84±27.76)% at the municipal level and (83.03±26.09)% at the county level. For fly surveillance data, the mean compliance rate was (84.27±11.67)% at the municipal level and (73.75±25.93)% at the county level. For cockroach surveillance data, the mean compliance rate was (95.59±8.53)% at the municipal level and (85.99±18.03)% at the county level. There were no significant differences in the compliance rates of the surveillance data of four vectors between the municipal level and county level (P>0.05). All 8 indicators reached the level of "relatively good" or higher at the municipal level, and 7 indicators at the county level. Both municipal and county quality control points had high scores in 4 indicators-the completion rate of surveillance points, the stability of surveillance personnel, the timeliness of reports, and the compliance rate of surveillance tools. The indicators to be improved for the municipal level were the standardization of report filling (3.09±0.80 points), the compliance rate of surveillance habitats (3.32±0.81 points), the compliance rate of surveillance data (3.46±1.06 points), and the compliance rate of surveillance time (3.64±0.98 points). The indicators to be improved for the county level were the compliance rate of surveillance data (2.94±1.79 points), the standardization of report filling (3.11±1.00 points), the compliance rate of surveillance habitats (3.30±1.32 points), and the compliance rate of surveillance time (3.46±1.11 points). Conclusion The overall quality of vector surveillance is good both at municipal and county levels in Hebei province, but quality control points at the same level show mixed surveillance qualities. Both municipal and county points should make up for the weak links to improve surveillance quality.
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