<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>9</volume><submitter>Wei W</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>While the End Tuberculosis (TB) Strategy has been implemented worldwide, the cause of the TB epidemic is multifactorial and not fully understood.&lt;h4>Objective&lt;/h4>This study aims to investigate the risk factors of TB and incorporate these factors to forecast the incidence of TB infection across different age groups in Sichuan, China.&lt;h4>Methods&lt;/h4>Correlation and linear regression analyses were conducted to assess the relationships between TB cases and ecological factors, including environmental, economic, and social factors, in Sichuan Province from 2006 to 2017. The transfer function-noise model was used to forecast trends, considering both time and multifactor effects.&lt;h4>Results&lt;/h4>From 2006 to 2017, Sichuan Province had a reported cumulative incidence rate of 1321</pubmed_abstract><journal>JMIR public health and surveillance</journal><pagination>e40659</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9883735</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>The Environmental and Socioeconomic Effects and Prediction of Patients With Tuberculosis in Different Age Groups in Southwest China: A Population-Based Study.</pubmed_title><pmcid>PMC9883735</pmcid><pubmed_authors>Zhang W</pubmed_authors><pubmed_authors>Wu J</pubmed_authors><pubmed_authors>Xia L</pubmed_authors><pubmed_authors>Luan R</pubmed_authors><pubmed_authors>Wei W</pubmed_authors><pubmed_authors>Zhou Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>The Environmental and Socioeconomic Effects and Prediction of Patients With Tuberculosis in Different Age Groups in Southwest China: A Population-Based Study.</name><description>&lt;h4>Background&lt;/h4>While the End Tuberculosis (TB) Strategy has been implemented worldwide, the cause of the TB epidemic is multifactorial and not fully understood.&lt;h4>Objective&lt;/h4>This study aims to investigate the risk factors of TB and incorporate these factors to forecast the incidence of TB infection across different age groups in Sichuan, China.&lt;h4>Methods&lt;/h4>Correlation and linear regression analyses were conducted to assess the relationships between TB cases and ecological factors, including environmental, economic, and social factors, in Sichuan Province from 2006 to 2017. The transfer function-noise model was used to forecast trends, considering both time and multifactor effects.&lt;h4>Results&lt;/h4>From 2006 to 2017, Sichuan Province had a reported cumulative incidence rate of 1321</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2026-07-14T20:23:46.918Z</modification><creation>2026-06-24T03:08:09.001Z</creation></dates><accession>S-EPMC9883735</accession><cross_references><pubmed>36456535</pubmed><doi>10.2196/40659</doi></cross_references></HashMap>