The spatial epidemiology of tuberculosis in Linyi City, China, 2005–2010

Wang, Tao; Xue, Fuzhong; Chen, Yongjin; Ma, Yong; Liu, Yanxun

doi:10.1186/1471-2458-12-885

Cited by 66 publications

(70 citation statements)

References 29 publications

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“…In recent years, spatial analysis has been broadly implicated to describe the geographic distribution of disease patterns and to identify the factors associated with disease incidences [18,38,39,40,41]. It could adjust the mutual effect among the spatial neighbouring features, which may be ignored by traditional regression analysis [42].…”

Section: Methodsmentioning

confidence: 99%

The Association between Environmental Factors and Scarlet Fever Incidence in Beijing Region: Using GIS and Spatial Regression Models

Mahara

Wang

Yang

et al. 2016

IJERPH

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(1) Background: Evidence regarding scarlet fever and its relationship with meteorological, including air pollution factors, is not very available. This study aimed to examine the relationship between ambient air pollutants and meteorological factors with scarlet fever occurrence in Beijing, China. (2) Methods: A retrospective ecological study was carried out to distinguish the epidemic characteristics of scarlet fever incidence in Beijing districts from 2013 to 2014. Daily incidence and corresponding air pollutant and meteorological data were used to develop the model. Global Moran’s I statistic and Anselin’s local Moran’s I (LISA) were applied to detect the spatial autocorrelation (spatial dependency) and clusters of scarlet fever incidence. The spatial lag model (SLM) and spatial error model (SEM) including ordinary least squares (OLS) models were then applied to probe the association between scarlet fever incidence and meteorological including air pollution factors. (3) Results: Among the 5491 cases, more than half (62%) were male, and more than one-third (37.8%) were female, with the annual average incidence rate 14.64 per 100,000 population. Spatial autocorrelation analysis exhibited the existence of spatial dependence; therefore, we applied spatial regression models. After comparing the values of R-square, log-likelihood and the Akaike information criterion (AIC) among the three models, the OLS model (R2 = 0.0741, log likelihood = −1819.69, AIC = 3665.38), SLM (R2 = 0.0786, log likelihood = −1819.04, AIC = 3665.08) and SEM (R2 = 0.0743, log likelihood = −1819.67, AIC = 3665.36), identified that the spatial lag model (SLM) was best for model fit for the regression model. There was a positive significant association between nitrogen oxide (p = 0.027), rainfall (p = 0.036) and sunshine hour (p = 0.048), while the relative humidity (p = 0.034) had an adverse association with scarlet fever incidence in SLM. (4) Conclusions: Our findings indicated that meteorological, as well as air pollutant factors may increase the incidence of scarlet fever; these findings may help to guide scarlet fever control programs and targeting the intervention.

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Section: Methodsmentioning

confidence: 99%

The Association between Environmental Factors and Scarlet Fever Incidence in Beijing Region: Using GIS and Spatial Regression Models

Mahara

Wang

Yang

et al. 2016

IJERPH

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“…However, TB remains an epidemic in some developing countries and regions, including Thailand, India, Turkey, and the Cape region of South Africa Western, and MTB infection may be the most important factor, contributing to the development of EN and NV [12]–[15]. Notably, the incidence of TB in China is very high [16]–[18]. Approximately, there are 4.5 million patients with active pulmonary TB and about 550 million people with MTB infection.…”

Section: Introductionmentioning

confidence: 99%

Mycobacterium tuberculosis Infection Is Associated with the Development of Erythema Nodosum and Nodular Vasculitis

Chen

et al. 2013

PLoS ONE

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Background Mycobacterium tuberculosis (MTB) infection has been suggested to contribute to the pathogenesis of erythema nodosum (EN) and nodular vasculitis (NV), the classic forms of panniculitis. However, there is little evidence to demonstrate the presence of MTB in the skin lesions. This study is aimed at evaluating the association between MTB infection and the development of EN and NV in a Chinese population.MethodsA total of 107 patients (36 EN, 27 NV, and 44 others) with vasculitis and 40 control cases with other skin diseases were recruited and their skin lesion samples were subjected to real time polymerase chain reaction (PCR) analysis of the IS6110 and mpt64 gene fragments of MTB. Their blood mononuclear cells were tested for MTB antigen-specific IFN-γ responses by QuantiFERON®-TB Gold In-Tube (IT) assays.ResultsPCR analysis revealed that 7/23 (30.4%) and 7/18 (38.9%) of the EN and NV samples were positive for the IS6110 DNA, respectively, which were significantly higher than 3/34 (8.8%) of other vasculitis (OV) and 3/40 (7.5%) of the control samples (p<0.05). The nested Real-Time PCR assay indicated that 6/7 (86%) of the IS6110-positive EN samples, all of the IS6110-positive NV and control samples, but only 1/3 of the IS6110-positive OV samples, were positive for the mpt64 gene. Similarly, 19/32 (59.4%) of the EN patients, 20/26 (76.9%) of the NV patients, and 17/36 (47.2%) of the OV patients were positive for MTB antigen-specific IFN-γ responses, which were significantly higher than 6/40 (15%) of the controls (p<0.05).ConclusionOur data strongly suggest that MTB infection and active TB are associated with the development of NV and EN in Chinese.

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“…In view of the gravity of the problem with reference to TB, several studies relating to this serious health issue have been published which were based on primary and secondary data collected from patients registered at diagnostic centers (Kruuner et al, 2001;Qazi et al, 2009;Jenkins et al, 2014) and was aimed at the description of epidemiology of different types of TB, its insurgency and drug resistance (Nunes, 2007;Middelkoop et al, 2009;Yazdani et al, 2010;Wang, et al, 2012;Roza et al, 2012;Borraccino et al, 2014).…”

Section: Miandad Et Almentioning

confidence: 99%

Geodemographic analysis of tuberculosis patients in Karachi, Pakistan

Miandad¹,

Farkhunda²,

Syed³

et al. 2015

hgeo

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Tuberculosis (TB) is endemic in Karachi, Pakistan, and even with the discovery of other infectious diseases no signicant change is evident in its epidemiological prole while analyzing the temporal incidence. There is signicant evidence to support the fact that poverty is the leading cause of TB. A number of scholarly analyses have documented associations among patients' characteristics (sex, age group); social factors (education, origin of the patient, smoking, alcohol and drug use); environmental factors (house types, room density, source of water, garbage collection and disposal), and economic factors etc. The purpose of the present study is to provide cogent and relevant arguments for the characteristics of tuberculosis patients in terms of social and economic proles in the study area. Forty-nine selected variables have been used in the present study for analysis. Three factors have emerged as responsible for the spread of tuberculosis in the study area. An insight into variables for Factor I reveals that features related to urbanization appear to be categorically responsible for the spread of TB in Karachi, especially among the white collar persons and low, middle-class residents. The results of the present study can help the city authorities for improving downtown areas renovation as per quality of life demand.

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The spatial epidemiology of tuberculosis in Linyi City, China, 2005–2010

Cited by 66 publications

References 29 publications

The Association between Environmental Factors and Scarlet Fever Incidence in Beijing Region: Using GIS and Spatial Regression Models

The Association between Environmental Factors and Scarlet Fever Incidence in Beijing Region: Using GIS and Spatial Regression Models

Mycobacterium tuberculosis Infection Is Associated with the Development of Erythema Nodosum and Nodular Vasculitis

Geodemographic analysis of tuberculosis patients in Karachi, Pakistan

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