Tuberculosis Epidemiology Among Zhejiang Students

Data for all notified PTB cases among students in Zhejiang Province were collected in the Tuberculosis Information Management System (TBIMS) from January 2007 to December 2020. We excluded extrapulmonary TB cases and cases identified as nontuberculous mycobacteria (17 (link)). All students included kindergartens, primary schools, high schools, and universities (18 (link)). Details for each PTB case included basic demographic information, clinical diagnosis information, laboratory outcomes, and treatment outcomes. Annual student population data for each administrative district were obtained from the Zhejiang Statistical Yearbook, education administrative department and Local Statistical Yearbook.

Free full text: Click here

Zhang M., Chen S., Luo D., Chen B., Zhang Y., Wang W., Wu Q., Liu K., Wang H, & Jiang J. (2023). Spatial–temporal analysis of pulmonary tuberculosis among students in the Zhejiang Province of China from 2007–2020. Frontiers in Public Health, 11, 1114248.

Publication 2023

Diagnosis Extrapulmonary tb Nontuberculous mycobacteria Student Tuberculosis

Corresponding Organization : Zhejiang Center for Disease Control and Prevention

Other organizations : Hangzhou Medical College

Top 5 similar protocols

Variable analysis

independent variables

Not explicitly mentioned

dependent variables

Incidence of pulmonary tuberculosis (PTB) cases among students in Zhejiang Province
Basic demographic information of PTB cases
Clinical diagnosis information of PTB cases
Laboratory outcomes of PTB cases
Treatment outcomes of PTB cases

control variables

Exclusion of extrapulmonary TB cases
Exclusion of cases identified as nontuberculous mycobacteria
Inclusion of all students from kindergartens, primary schools, high schools, and universities

controls

Positive control: Not specified
Negative control: Not specified

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!