Rodent monitoring and analysis in kitchens: the Bright Kitchen, Clear Stove approach
10.3969/j.issn.1005-0507.2025.04.008
- VernacularTitle:基于 “明厨亮灶” 的厨房鼠害监测分析
- Author:
Xiao-ying ZHENG
1
;
Fei LIU
2
;
Shi-ji TAO
3
;
Dun-jia WANG
3
;
Jia-min SHEN
1
;
Yi-zhou CAI
3
;
Le JIANG
2
;
Lin-juan DONG
3
;
Min-hui ZHU
3
;
Yi-bin ZHOU
3
Author Information
1. Xinhong Community Health Service Center, Minhang District, Shanghai 201107, China
2. Hongqiao Community Health Service Center, Minhang District, Shanghai 201103, China
3. Shanghai Minhang District Center for Disease Control and Prevention(Shanghai Minhang District Health Supervision Institute), Shanghai 201101, China
- Publication Type:Journal Article
- Keywords:
Bright Kitchen, Clear Stove;
Rodent density;
Spatial distribution
- From:
Acta Parasitologica et Medica Entomologica Sinica
2025;32(4):247-251
- CountryChina
- Language:Chinese
-
Abstract:
Objective To assess the status of rodent infestation in commercial kitchens using data from the‘Bright Kitchen, Clean Stove' initiative. The potential use of artificial-intelligence(AI)-based surveillance systems to monitor rodent density was explored, thereby providing a scientific basis for rodent control strategies. Methods As a component of the ‘Bright Kitchen, Clean Stove' initiative, the Minhang District Market Supervision Administration in Shanghai has installed cameras in 297 kitchens. These systems incorporate an AIpowered rodent image recognition method that automatically captures and stores the first image captured in each kitchen each day when a rodent is detected. In 2023, the system collected and stored 736 screenshots of rodents. Following manual verification,720 of the images were confirmed to contain rodents. The images were analyzed by noting the time, location, and kitchen area, and the species were manually identified to assess the population density. Results Rodent activity was detected in 34 of the 297 monitored kitchens, with an overall infestation rate of 11.45%. Of the 720 confirmed images of rodents, Rattus norvegicus(brown rat)was the predominant species, present in 409(56.81 %)images. Rodents were primarily concentrated in hot food preparation spaces. The density fluctuation curve had a multimodal pattern peaking in spring and autumn. The peak of daily activity was between 22: 00 and 2: 00. There was a significant difference in the rodent detection frequency between weekends and weekdays during peak hours and during non-peak hours(χ2=7.18, P＜ 0.01). Conclusions The ‘Bright Kitchen, Clear Stove' smart monitoring system has been proven to be applicable to rodent density monitoring. To control rodents in commercial kitchens, greater efforts are required to address and identify the specific infesting conditions and the key points in the control process.
