Spatial distribution of tuberculosis and its association with meteorological factors in mainland China

Yingjie Zhang; Mengyang Liu; Samuel S. Wu; Hui Jiang; Junjie Zhang; Songwang Wang; Wei Ma; Qihuan Li; Yuan Ma; Yue Liu; Wei Feng; Endawoke Amsalu; Xia Li; Wei Wang; Weimin Li; Xiuhua Guo

doi:10.1186/s12879-019-4008-1

Spatial distribution of tuberculosis and its association with meteorological factors in mainland China

Yingjie Zhang, Mengyang Liu, Samuel S. Wu, Hui Jiang, Junjie Zhang, Songwang Wang, Wei Ma, Qihuan Li, Yuan Ma, Yue Liu, Wei Feng, Endawoke Amsalu, Xia Li, Wei Wang, Weimin Li, Xiuhua Guo

Research output: Contribution to journal › Article › peer-review

Abstract

Background: The incidence of tuberculosis (TB) remains high worldwide. Current strategies will not eradicate TB by 2035; instead, by 2182 is more likely. Therefore, it is urgent that new risk factors be identified. Methods: An ecological study was conducted in 340 prefectures in China from 2005 to 2015. The spatial distribution of TB incidence was shown by clustering and hotspot analysis. The relationship between the distribution patterns and six meteorological factors was evaluated by the geographically weighted regression (GWR) model. Results: During the 11 years of the study period, TB incidence was persistently low in the east and high in the west. Local coefficients from the GWR model showed a positive correlation between TB incidence and yearly average rainfall (AR) but a negative correlation with other meteorological factors. Average relative humidity (ARH) was negatively correlated with the incidence of TB in all prefectures (p < 0.05). Conclusion: Meteorological factors may play an important role in the prevention and control of TB.

Original language	English
Article number	379
Pages (from-to)	379
Journal	BMC Infectious Diseases
Volume	19
Issue number	1
DOIs	https://doi.org/10.1186/s12879-019-4008-1
Publication status	Published - 3 May 2019
Externally published	Yes

Keywords

Geographically weighted regression
Meteorological factors
Spatial distribution
Tuberculosis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1186/s12879-019-4008-1

Cite this

@article{0106e4aa01ab480aaeca547aeaad1734,

title = "Spatial distribution of tuberculosis and its association with meteorological factors in mainland China",

abstract = "Background: The incidence of tuberculosis (TB) remains high worldwide. Current strategies will not eradicate TB by 2035; instead, by 2182 is more likely. Therefore, it is urgent that new risk factors be identified. Methods: An ecological study was conducted in 340 prefectures in China from 2005 to 2015. The spatial distribution of TB incidence was shown by clustering and hotspot analysis. The relationship between the distribution patterns and six meteorological factors was evaluated by the geographically weighted regression (GWR) model. Results: During the 11 years of the study period, TB incidence was persistently low in the east and high in the west. Local coefficients from the GWR model showed a positive correlation between TB incidence and yearly average rainfall (AR) but a negative correlation with other meteorological factors. Average relative humidity (ARH) was negatively correlated with the incidence of TB in all prefectures (p < 0.05). Conclusion: Meteorological factors may play an important role in the prevention and control of TB.",

keywords = "Geographically weighted regression, Meteorological factors, Spatial distribution, Tuberculosis",

author = "Yingjie Zhang and Mengyang Liu and Wu, {Samuel S.} and Hui Jiang and Junjie Zhang and Songwang Wang and Wei Ma and Qihuan Li and Yuan Ma and Yue Liu and Wei Feng and Endawoke Amsalu and Xia Li and Wei Wang and Weimin Li and Xiuhua Guo",

note = "Publisher Copyright: {\textcopyright} 2019 The Author(s).",

year = "2019",

month = may,

day = "3",

doi = "10.1186/s12879-019-4008-1",

language = "English",

volume = "19",

pages = "379",

journal = "BMC Infectious Diseases",

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TY - JOUR

T1 - Spatial distribution of tuberculosis and its association with meteorological factors in mainland China

AU - Zhang, Yingjie

AU - Liu, Mengyang

AU - Wu, Samuel S.

AU - Jiang, Hui

AU - Zhang, Junjie

AU - Wang, Songwang

AU - Ma, Wei

AU - Li, Qihuan

AU - Ma, Yuan

AU - Liu, Yue

AU - Feng, Wei

AU - Amsalu, Endawoke

AU - Li, Xia

AU - Wang, Wei

AU - Li, Weimin

AU - Guo, Xiuhua

PY - 2019/5/3

Y1 - 2019/5/3

N2 - Background: The incidence of tuberculosis (TB) remains high worldwide. Current strategies will not eradicate TB by 2035; instead, by 2182 is more likely. Therefore, it is urgent that new risk factors be identified. Methods: An ecological study was conducted in 340 prefectures in China from 2005 to 2015. The spatial distribution of TB incidence was shown by clustering and hotspot analysis. The relationship between the distribution patterns and six meteorological factors was evaluated by the geographically weighted regression (GWR) model. Results: During the 11 years of the study period, TB incidence was persistently low in the east and high in the west. Local coefficients from the GWR model showed a positive correlation between TB incidence and yearly average rainfall (AR) but a negative correlation with other meteorological factors. Average relative humidity (ARH) was negatively correlated with the incidence of TB in all prefectures (p < 0.05). Conclusion: Meteorological factors may play an important role in the prevention and control of TB.

AB - Background: The incidence of tuberculosis (TB) remains high worldwide. Current strategies will not eradicate TB by 2035; instead, by 2182 is more likely. Therefore, it is urgent that new risk factors be identified. Methods: An ecological study was conducted in 340 prefectures in China from 2005 to 2015. The spatial distribution of TB incidence was shown by clustering and hotspot analysis. The relationship between the distribution patterns and six meteorological factors was evaluated by the geographically weighted regression (GWR) model. Results: During the 11 years of the study period, TB incidence was persistently low in the east and high in the west. Local coefficients from the GWR model showed a positive correlation between TB incidence and yearly average rainfall (AR) but a negative correlation with other meteorological factors. Average relative humidity (ARH) was negatively correlated with the incidence of TB in all prefectures (p < 0.05). Conclusion: Meteorological factors may play an important role in the prevention and control of TB.

KW - Geographically weighted regression

KW - Meteorological factors

KW - Spatial distribution

KW - Tuberculosis

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U2 - 10.1186/s12879-019-4008-1

DO - 10.1186/s12879-019-4008-1

M3 - Article

C2 - 31053104

AN - SCOPUS:85065256086

SN - 1471-2334

VL - 19

SP - 379

JO - BMC Infectious Diseases

JF - BMC Infectious Diseases

IS - 1

M1 - 379

ER -

Spatial distribution of tuberculosis and its association with meteorological factors in mainland China

Abstract

Keywords

UN SDGs

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