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Risk mapping of scrub typhus infections in Qingdao city, China

Risk mapping of scrub typhus infections in Qingdao city, China
Risk mapping of scrub typhus infections in Qingdao city, China

BACKGROUND: The emergence and re-emergence of scrub typhus has been reported in the past decade in many global regions. In this study, we aim to identify potential scrub typhus infection risk zones with high spatial resolution in Qingdao city, in which scrub typhus is endemic, to guide local prevention and control strategies.

METHODOLOGY/PRINCIPAL FINDINGS: Scrub typhus cases in Qingdao city during 2006-2018 were retrieved from the Chinese National Infectious Diseases Reporting System. We divided Qingdao city into 1,101 gridded squares and classified them into two categories: areas with and without recorded scrub typhus cases. A boosted regression tree model was used to explore environmental and socioeconomic covariates associated with scrub typhus occurrence and predict the risk of scrub typhus infection across the whole area of Qingdao city. A total of 989 scrub typhus cases were reported in Qingdao from 2006-2018, with most cases located in rural and suburban areas. The predicted risk map generated by the boosted regression tree models indicated that the highest infection risk areas were mainly concentrated in the mid-east and northeast regions of Qingdao, with gross domestic product (20.9%±1.8% standard error) and annual cumulative precipitation (20.3%±1.1%) contributing the most to the variation in the models. By using a threshold environmental suitability value of 0.26, we identified 757 squares (68.7% of the total) with a favourable environment for scrub typhus infection; 66.2% (501/757) of the squares had not yet recorded cases. It is estimated that 6.32 million people (72.5% of the total population) reside in areas with a high risk of scrub typhus infection.

CONCLUSIONS/SIGNIFICANCE: Many locations in Qingdao city with no recorded scrub typhus cases were identified as being at risk for scrub typhus occurrence. In these at-risk areas, awareness and capacity for case diagnosis and treatment should be enhanced in the local medical service institutes.

1935-2727
Xin, Hualei
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Fu, Peng
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Sun, Junling
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Lai, Shengjie
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Hu, Wenbiao
ac87e378-67ae-4fa0-abf1-4cefcb0870f9
Clements, Archie C A
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Sun, Jianping
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Cui, Jing
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Hay, Simon I
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Li, Xiaojing
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Li, Zhongjie
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Xin, Hualei
7931a8f1-70e3-439a-b86e-94246e546200
Fu, Peng
fe3f2678-aa1c-4baf-839f-3c3ebc322aad
Sun, Junling
4f56058d-f603-4758-9b92-873ac36de30f
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Hu, Wenbiao
ac87e378-67ae-4fa0-abf1-4cefcb0870f9
Clements, Archie C A
8598767d-7b06-4c07-b261-efad315c9ee0
Sun, Jianping
a6d745f7-974a-4d72-b2ba-54550207ed2e
Cui, Jing
00fa5c10-6066-403f-91b9-b93ac4d73577
Hay, Simon I
471d3ae4-a3c1-4d29-93e3-a90d44471b00
Li, Xiaojing
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Li, Zhongjie
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Xin, Hualei, Fu, Peng, Sun, Junling, Lai, Shengjie, Hu, Wenbiao, Clements, Archie C A, Sun, Jianping, Cui, Jing, Hay, Simon I, Li, Xiaojing and Li, Zhongjie (2020) Risk mapping of scrub typhus infections in Qingdao city, China. PLoS Neglected Tropical Diseases, 14 (12), [e0008757]. (doi:10.1371/journal.pntd.0008757).

Record type: Article

Abstract

BACKGROUND: The emergence and re-emergence of scrub typhus has been reported in the past decade in many global regions. In this study, we aim to identify potential scrub typhus infection risk zones with high spatial resolution in Qingdao city, in which scrub typhus is endemic, to guide local prevention and control strategies.

METHODOLOGY/PRINCIPAL FINDINGS: Scrub typhus cases in Qingdao city during 2006-2018 were retrieved from the Chinese National Infectious Diseases Reporting System. We divided Qingdao city into 1,101 gridded squares and classified them into two categories: areas with and without recorded scrub typhus cases. A boosted regression tree model was used to explore environmental and socioeconomic covariates associated with scrub typhus occurrence and predict the risk of scrub typhus infection across the whole area of Qingdao city. A total of 989 scrub typhus cases were reported in Qingdao from 2006-2018, with most cases located in rural and suburban areas. The predicted risk map generated by the boosted regression tree models indicated that the highest infection risk areas were mainly concentrated in the mid-east and northeast regions of Qingdao, with gross domestic product (20.9%±1.8% standard error) and annual cumulative precipitation (20.3%±1.1%) contributing the most to the variation in the models. By using a threshold environmental suitability value of 0.26, we identified 757 squares (68.7% of the total) with a favourable environment for scrub typhus infection; 66.2% (501/757) of the squares had not yet recorded cases. It is estimated that 6.32 million people (72.5% of the total population) reside in areas with a high risk of scrub typhus infection.

CONCLUSIONS/SIGNIFICANCE: Many locations in Qingdao city with no recorded scrub typhus cases were identified as being at risk for scrub typhus occurrence. In these at-risk areas, awareness and capacity for case diagnosis and treatment should be enhanced in the local medical service institutes.

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More information

Submitted date: 8 January 2020
Accepted/In Press date: 28 August 2020
e-pub ahead of print date: 2 December 2020
Published date: December 2020

Identifiers

Local EPrints ID: 445667
URI: http://eprints.soton.ac.uk/id/eprint/445667
ISSN: 1935-2727
PURE UUID: e16c0cb8-51b3-4685-a78d-d6b3f5d95b9f
ORCID for Shengjie Lai: ORCID iD orcid.org/0000-0001-9781-8148

Catalogue record

Date deposited: 05 Jan 2021 17:34
Last modified: 17 Mar 2024 03:52

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Contributors

Author: Hualei Xin
Author: Peng Fu
Author: Junling Sun
Author: Shengjie Lai ORCID iD
Author: Wenbiao Hu
Author: Archie C A Clements
Author: Jianping Sun
Author: Jing Cui
Author: Simon I Hay
Author: Xiaojing Li
Author: Zhongjie Li

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