2016
DOI: 10.1371/journal.pntd.0004875
|View full text |Cite
|
Sign up to set email alerts
|

Spatiotemporal Dynamics of Scrub Typhus Transmission in Mainland China, 2006-2014

Abstract: BackgroundScrub typhus is endemic in the Asia-Pacific region including China, and the number of reported cases has increased dramatically in the past decade. However, the spatial-temporal dynamics and the potential risk factors in transmission of scrub typhus in mainland China have yet to be characterized.ObjectiveThis study aims to explore the spatiotemporal dynamics of reported scrub typhus cases in mainland China between January 2006 and December 2014, to detect the location of high risk spatiotemporal clus… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

4
54
2

Year Published

2018
2018
2021
2021

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 47 publications
(60 citation statements)
references
References 30 publications
4
54
2
Order By: Relevance
“…In order to perform spatio-temporal analysis, dengue cases were aggregated at the county level according to national codes of current addresses, and then were geocoded and matched to the county-level administrative boundaries using ArcGIS version 9.5 (ESRI, 2017). There are 31 provinces (or municipalities) comprised of 2 922 counties in mainland China, with populations ranging from 7,123 to 5,044,430, with geographic areas ranging from 5.4 to 197,346 square kilometers (Wu et al, 2016).…”
Section: Data Collection and Processingmentioning
confidence: 99%
“…In order to perform spatio-temporal analysis, dengue cases were aggregated at the county level according to national codes of current addresses, and then were geocoded and matched to the county-level administrative boundaries using ArcGIS version 9.5 (ESRI, 2017). There are 31 provinces (or municipalities) comprised of 2 922 counties in mainland China, with populations ranging from 7,123 to 5,044,430, with geographic areas ranging from 5.4 to 197,346 square kilometers (Wu et al, 2016).…”
Section: Data Collection and Processingmentioning
confidence: 99%
“…Specifically, Global Moran's I index ranges from À1 to 1, in which 0 represents a random spatial distribution, below 0 a scattered spatial distribution and above 0 clustering distribution. LISA estimated the local Moran's I between one certain county and surrounding counties, indicating the localized significant hotspots (High-High), coldspots (Low-Low), and outliers (High-Low and Low-High) (Sun et al, 2018;Wu et al, 2016).…”
Section: Spatiotemporal Cluster Analysismentioning
confidence: 99%
“…Their density fluctuations are closely related to the seasonal distribution of scrub typhus cases, and the monthly distribution of scrub typhus cases was consistent with the fluctuation of Leptotrombidium scutellare[9, 30, 31]. Third, some studies have shown that meteorological factors affect the incidence of scrub typhus, such as temperature, sunlight, precipitation, etc[16, 32, 33]. The climatic conditions of Shandong Province from September to November may be most suitable for the occurrence of scrub typhus.…”
Section: Discussionmentioning
confidence: 67%
“…Shandong Province as an emerging epidemic focus of scrub typhus, the number of reported cases in where has increased rapidly since the first cases reported in Shandong Province in 1986[16-19]. This study shows that the number of cities with scrub typhus cases is relatively stable and the number of annual reported cases of scrub typhus increased slowly before 2013, but the sharp increase from 2013 to 2014 and then has been maintained at a high level.…”
Section: Discussionmentioning
confidence: 76%