5 results match your criteria: "Xinbei District Center for Disease Control and Prevention[Affiliation]"
[Study on risk factors of abnormal pulmonary function among dust-exposed workers and prediction model].
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi
January 2023
Department of Health, Changzhou Xinbei District Center for Disease Control and Prevention, Changzhou 213022, China.
To explore the influencing factors of abnormal pulmonary function in dust-exposed workers and establish the risk prediction model of abnormal pulmonary function. In April 2021, a total of 4255 dust exposed workers from 47 enterprises in 2020 were included in the study. logistic regression was used to analyze the influencing factors of abnormal pulmonary function in dust-exposed workers, and the corresponding nomogram prediction model was established.
View Article and Find Full Text PDF[Implementation of monitoring system based on Baidu Map].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
October 2017
Xinbei District Center for Disease Control and Prevention, China.
Article Synopsis
- - The study aimed to create a snail monitoring system using Baidu Map to track both historical and current snail environments.
- - It utilized Geographic Information System (GIS), electronic fence technology, and API to link monitoring data to a database, enabling real-time surveillance.
- - The resulting system features three main components: a Snail Monitoring Environmental Database, a Dynamic Monitoring Platform, and an Electronic Map, accessible via computer and smartphone for easy monitoring.
[Application of electronic fence technology based on GIS in snail monitoring].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
July 2017
Xinbei District Center for Disease Control and Prevention, China.
Article Synopsis
- The study aimed to apply Geographic Information System (GIS) electronic fence techniques for effectively monitoring snails in their natural environments.
- An electronic fence was created on an electronic map to link snail monitoring data, allowing users to input and access real-time information through computers and smartphones.
- The results showed that this method enabled dynamic monitoring and visualization of snail environments, creating unique digital archives for better management.
[Investigation on knowledge, attitude, and practice of schistosomiasis prevention and control and infection status in Armed Police Forces stationed along Yangtze River].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
December 2016
Xinbei District Center for Disease Control and Prevention, Jiangsu Province, China.
Article Synopsis
- The study aimed to assess the knowledge, attitudes, and practices related to schistosomiasis prevention among Armed Police Forces stationed along the Yangtze River to help improve prevention measures.
- A survey of 376 soldiers revealed a 72.87% knowledge passing rate about schistosomiasis, with higher rates among soldiers from endemic areas and those with more education.
- Only 0.53% of soldiers tested positive for infection, with a majority having positive attitudes toward prevention, although protective behaviors when in water could be improved.
[Construction of platform of Schistosoma japonicum infection real-time monitoring and early warning along Yangtze River].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
December 2013
Wujin District Center for Disease Prevention and Control, Changzhou City, Jiangsu Province, China.
Objective: To construct a platform for Schistosoma japonicum infection real-time monitoring and early warning in marshlands along the Yangtze River.
Methods: The data of the status of Oncomelania hupensis snails, schistosomiasis endemic situation, marshland environment status, and other basic information were collected and analyzed comprehensively in marshlands along the Yangtze River in Jiangsu Province, and a schistosomiasis endemic situation electronic map was established. Through the GPS and 3G technology, the short messaging service (SMS) alerts were sent to the fishermen when they entered the areas of different schistosomiasis endemic levels in real-time.