Isoniazid-resistant, rifampicin-susceptible tuberculosis (Hr-TB) globally exhibits a high prevalence and serves as a potential precursor to multidrug-resistant tuberculosis (MDR-TB). Recognizing the spatial distribution of Hr-TB and identifying associated factors can provide strategic entry points for interventions aimed at early detection of Hr-TB and prevention of its progression to MDR-TB. This study aims to analyze spatial patterns and identify socioeconomic, demographic, and healthcare factors associated with Hr-TB in Shanghai at the county level.We conducted a retrospective study utilizing data from TB patients with available Drug Susceptible Test (DST) results in Shanghai from 2010 to 2016. Spatial autocorrelation was explored using Global Moran’s I and Getis-Ord Gi∗ statistics. A Bayesian hierarchical model with spatial effects was developed using the INLA package in R software to identify potential factors associated with Hr-TB at the county level.A total of 8,865 TB patients with DST were included in this analysis. Among 758 Hr-TB patients, 622 (82.06%) were new cases without any previous treatment history. The drug-resistant rate of Hr-TB among new TB cases in Shanghai stood at 7.20% (622/8014), while for previously treated cases, the rate was 15.98% (136/851). Hotspot areas of Hr-TB were predominantly situated in southwestern Shanghai. Factors positively associated with Hr-TB included the percentage of older adult individuals (RR = 3.93, 95% Crl:1.93–8.03), the percentage of internal migrants (RR = 1.35, 95% Crl:1.15–1.35), and the number of healthcare institutions per 100 population (RR = 1.17, 95% Crl:1.02–1.34).We observed a spatial heterogeneity of Hr-TB in Shanghai, with hotspots in the Songjiang and Minhang districts. Based on the results of the models, the internal migrant population and older adult individuals in Shanghai may be contributing factors to the emergence of areas with high Hr-TB notification rates. Given these insights, we advocate for targeted interventions, especially in identified high-risk hotspots and high-risk areas.

Spatial pattern of isoniazid-resistant tuberculosis and its associated factors among a population with migrants in China: a retrospective population-based study

Tuberculosis (TB), particularly drug-resistant TB (DR-TB), remains a significant public health concern in Ningbo, China. Understanding its molecular epidemiology and spatial distribution is paramount for effective control.From December 24, 2020, to March 12, 2023, we collected clinical Mycobacterium tuberculosis (MTB) strains in Ningbo, with whole-genome sequencing performed on 130 MTB strains. We analyzed DR-related gene mutations, conducted phylogenetic and phylodynamic analyses, identified recent transmission clusters, and assessed spatial distribution.Among 130 DR-TB cases, 41% were MDR-TB, 36% pre-XDR-TB, 19% RR-TB, and 3% HR-TB. The phylogenetic tree showed that 90% of strains were Lineage 2 (Beijing genotype), while remaining 10% were Lineage 4 (Euro-American genotype). The spatial analysis identified hotspots of DR-TB in Ningbo’s northern region, particularly in traditional urban centers. 31 (24%) of the DR-TB cases were grouped into 7 recent transmission clusters with a large outbreak cluster containing 15 pre-XDR-TB patients. Epidemiological analyses suggested a higher risk of recent DR-TB transmission among young adult patients who frequently visited Internet cafes, game rooms, and factories.Our study provides comprehensive insights into the epidemiology and genetics of DR-TB in Ningbo. The presence of genomic clusters highlights recent transmission events, indicating the need for targeted interventions. These findings are vital for informing TB control strategies in Ningbo and similar settings.

Transmission dynamics of drug-resistant tuberculosis in Ningbo, China: an epidemiological and genomic analysis

Background In China, tuberculosis (TB) is a major contributor to deaths caused by infectious diseases, with a significant number of cases remaining undetected. Lack of knowledge could heighten the chances of infecting TB. Due to the lack of information on the knowledge, attitudes, and practices (KAP) related to TB among labor-intensive businesses, the study aimed to evaluate the TB KAP within this demographic. Methods A descriptive cross-sectional survey was conducted among 1,007 participants from March 1 to 28, 2023. A survey was created for assessing knowledge, attitudes, and practices related to tuberculosis, and was sent to employees within the company. We utilize t-tests, ANOVA, and multiple linear regression to investigate the relationship between TB knowledge, attitudes, and practices and various influencing factors. Results The mean good scores rate for TB KAP were 43.5, 23.5, and 75.3%, respectively. Native, female, and workers living in their own houses had a higher score in TB knowledge. Native, non-operators, and workers with a history of TB contact had higher scores in TB practice. Regarding the multivariable linear regression analysis, sex, seniority, birthplace, marital status, and sources of information were associated with greater knowledge; monthly income categories were associated with greater attitude; and position, birthplace, and contact history were associated with greater practice. Conclusion The survey results lead to the assumption that the level of KAP toward TB is not high among manufacturing workers in Songjiang district. Therefore, it is crucial to enhance tuberculosis knowledge, attitudes, and practices within this demographic. 

Knowledge, attitude, and practice regarding tuberculosis in a labor-intensive industrial district

http://www.thelancet.com/article/S2666606523001517/pdf

Genotypic and spatial analysis of transmission dynamics of tuberculosis in Shanghai, China: a 10-year prospective population-based surveillance study

We reported an outbreak of tuberculosis in internet cafes among young migrants without fixed abode in Shanghai. Our results implied these populations of young migrants who get lost in the internet cafes of the big cities were at high risk for TB transmission and need more attention from health-care system.

Outbreak of tuberculosis in internet cafes among young internal migrants without fixed abode in Shanghai, China, 2018-2019.

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Outbreak of tuberculosis in internet cafes among young internal migrants without fixed abode in Shanghai, China, 2018-2019.