Males, Ages  45 Years, Businessperson, Floating Population, and Rural Residents May Be Considered High-Risk Groups for Tuberculosis Infection in Guangzhou, China: A Review of 136,394 Tb Confirmed Cases

Li, Xueqiu; Li, Tiegang; Tan, Shouyong

doi:10.1590/s0036-46652013000500013

Cited by 17 publications

(14 citation statements)

References 12 publications

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“…10,12,13 As for the relationship between TB and gender, our study found that most of the TB cases were men. Such an observation is consistent with the previous TB studies in Beijing, 14 Shanghai, 15 Guangzhou, 16 Shenzhen, 17 and Jiangsu. 12 This is probably related to the rapid urbanization in Shaanxi province, where men are the majority in the floating population besides the major workforce.…”

Section: Discussionsupporting

confidence: 92%

Tuberculosis cases in cross-regional floating population from 2009 to 2017 in Shaanxi Province, China

Men

Zhang

Liu

et al. 2020

Preprint

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Background : The cross-regional population of tuberculosis (TB) has become an important part of the prevention and control of TB cases in China with the gradually increasing of floating population. The aim of our study was to explore the main epidemiological characteristics and provide reference for the treatment and management of TB cases in cross-regional floating population in Shaanxi Province. Methods: The data of TB cases in cross-regional floating population from 2009 to 2017 were derived from the National Tuberculosis Management Information Registration System. Descriptive analysis was applied for the baseline demographical, continuous data are expressed as means ± standard deviation and categorical in percentage. The χ2 test, which was implemented as Fisher’s exact test in this study, was applied to categorical variable comparisons. Results: A total of 613 floating TB cases consisting of 413 males (67.4%) and 200 females (32.6%) were registered in Shaanxi province from 2009 to 2017. The difference of gender distribution was statistically significant ( P =0.039). Of the total, 190 cases (31.0%) were smear-positive and 175 cases (28.5%) were negative. From 2009 to 2017, the difference of the gender distribution was not statistically significant ( P =0.732), but the difference in the rate of transferred into original was found statistically significant ( P =0.000). Conclusion: The number of TB cases in cross-regional floating population in Shaanxi Province showed a relatively stable trend from 2009 to 2017. Young males should be given more attentions in TB control because they counted most of the TB cases.

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Section: Discussionsupporting

confidence: 92%

Tuberculosis cases in cross-regional floating population from 2009 to 2017 in Shaanxi Province, China

Men

Zhang

Liu

et al. 2020

Preprint

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“…Floating population were mostly migrants from rural to urban. Crowded living conditions, absent medical care, and poor access to health services increased the risk, Guangzhou had the same report . Studies revealed that other infectious diseases had also higher incidence among floating population with respect to the permanent residents, such as malaria, measles, and influenza .…”

Section: Discussionmentioning

confidence: 78%

Exploration on the risk factors of pulmonary tuberculosis incidence in Wenchuan earthquake-stricken area

2017

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The incidence presented a smooth curve without bursting after the earthquake during 2004 to 2012, and with a tendency of decreasing from north to south in Sichuan province; PTB countermeasures should be focused on the migrating population and in the minority inhabited and economic underdeveloped regions. Geographical adjacent structure was an important factor and regional collaborative prevention and control should be strengthened.

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“…For example, approximately three fourths population in Shenzhen are immigrants and the reported TB incidence in Shenzhen are 381.3 per 100 000 from 2006 to 2010. Immigrants maybe one of the most important factors of the high TB incidence in Gungdong Province [ 35 ]. The secondary clusters were scattered in almost every province in every year, but both the number of clusters and the reported TB incidences showed a downward trend in recent years owing to the effective prevention and control measures.…”

Section: Discussionmentioning

confidence: 99%

Spatial and temporal clustering analysis of tuberculosis in the mainland of China at the prefecture level, 2005–2015

Liu

Zhang

et al. 2018

Infect Dis Poverty

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BackgroundTuberculosis (TB) is still one of the most serious infectious diseases in the mainland of China. So it was urgent for the formulation of more effective measures to prevent and control it.MethodsThe data of reported TB cases in 340 prefectures from the mainland of China were extracted from the China Information System for Disease Control and Prevention (CISDCP) during January 2005 to December 2015. The Kulldorff’s retrospective space-time scan statistics was used to identify the temporal, spatial and spatio-temporal clusters of reported TB in the mainland of China by using the discrete Poisson probability model. Spatio-temporal clusters of sputum smear-positive (SS+) reported TB and sputum smear-negative (SS-) reported TB were also detected at the prefecture level.ResultsA total of 10 200 528 reported TB cases were collected from 2005 to 2015 in 340 prefectures, including 5 283 983 SS- TB cases and 4 631 734 SS + TB cases with specific sputum smear results, 284 811 cases without sputum smear test. Significantly TB clustering patterns in spatial, temporal and spatio-temporal were observed in this research. Results of the Kulldorff’s scan found twelve significant space-time clusters of reported TB. The most likely spatio-temporal cluster (RR = 3.27, P < 0.001) was mainly located in Xinjiang Uygur Autonomous Region of western China, covering five prefectures and clustering in the time frame from September 2012 to November 2015. The spatio-temporal clustering results of SS+ TB and SS- TB also showed the most likely clusters distributed in the western China. However, the clustering time of SS+ TB was concentrated before 2010 while SS- TB was mainly concentrated after 2010.ConclusionsThis study identified the time and region of TB, SS+ TB and SS- TB clustered easily in 340 prefectures in the mainland of China, which is helpful in prioritizing resource assignment in high-risk periods and high-risk areas, and to formulate powerful strategy to prevention and control TB.Electronic supplementary materialThe online version of this article (10.1186/s40249-018-0490-8) contains supplementary material, which is available to authorized users.

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Males, Ages 45 Years, Businessperson, Floating Population, and Rural Residents May Be Considered High-Risk Groups for Tuberculosis Infection in Guangzhou, China: A Review of 136,394 Tb Confirmed Cases

Cited by 17 publications

References 12 publications

Tuberculosis cases in cross-regional floating population from 2009 to 2017 in Shaanxi Province, China

Tuberculosis cases in cross-regional floating population from 2009 to 2017 in Shaanxi Province, China

Exploration on the risk factors of pulmonary tuberculosis incidence in Wenchuan earthquake-stricken area

Spatial and temporal clustering analysis of tuberculosis in the mainland of China at the prefecture level, 2005–2015

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