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Does Bangkok have a central role in the dengue dynamics of Thailand?

Overview of attention for article published in Parasites & Vectors, January 2020
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5 tweeters

Citations

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2 Dimensions

Readers on

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34 Mendeley
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Title
Does Bangkok have a central role in the dengue dynamics of Thailand?
Published in
Parasites & Vectors, January 2020
DOI 10.1186/s13071-020-3892-y
Pubmed ID
Authors

Zhiwei Xu, Hilary Bambrick, Puntani Pongsumpun, I. Ming Tang, Laith Yakob, Gregor Devine, Francesca D. Frentiu, Gail Williams, Wenbiao Hu

Abstract

Bangkok plays a central role in the commerce of Thailand. This study aimed to characterize the district-level spatial-temporal patterns of dengue in Thailand and explore if a dengue peak in Bangkok led the peaks of dengue in other Thai provinces. Monthly dengue data at district level in Thailand from January 2004 to December 2017 were obtained and used to assess the spatial and seasonal patterns of dengue in Thailand. As our seasonal decomposition and cross-correlation analyses showed that dengue in Bangkok peaked in November, which was a few months after the dengue peak in most other provinces, we used a time-series generalized linear model to explore if there was another province in which the dengue case number was most predictive of dengue case numbers in other Thai provinces. The highest district-level annual dengue incidence rates (per 10,000) in the three time periods (i.e. 2004-2008, 2009-2013 and 2014-2017) were 58.08 (Samphanthawong), 85.93 (Mueang Krabi), and 66.60 (Mae Sariang), respectively. Dengue incidence rates in the western part of Northern Thailand, southern part of Central Thailand, southern part of Eastern Thailand, and Southern Thailand were higher than in other regions. Dengue in most districts of Thailand peaked in June, July or August, but dengue peaks in all districts of Bangkok occurred in November. The number of dengue cases in Nakhon Ratchasima was most predictive of the number of dengue cases in other provinces in Thailand by a one-month lag. Our results suggest that the dengue peak in Bangkok did not lead the peaks of dengue in other Thai provinces. Future research exploring how changes in socio-ecological factors (e.g. road network and climate factors) in Nakhon Ratchasima have affected the transmission of dengue in Thailand might shed some new light on the prevention and control of dengue.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Bachelor 4 12%
Student > Doctoral Student 3 9%
Student > Ph. D. Student 3 9%
Student > Master 3 9%
Other 6 18%
Unknown 9 26%
Readers by discipline Count As %
Nursing and Health Professions 5 15%
Agricultural and Biological Sciences 4 12%
Biochemistry, Genetics and Molecular Biology 4 12%
Medicine and Dentistry 4 12%
Business, Management and Accounting 2 6%
Other 6 18%
Unknown 9 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2020.
All research outputs
#12,371,009
of 20,040,745 outputs
Outputs from Parasites & Vectors
#2,493
of 4,999 outputs
Outputs of similar age
#223,830
of 415,056 outputs
Outputs of similar age from Parasites & Vectors
#289
of 569 outputs
Altmetric has tracked 20,040,745 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,999 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 415,056 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 569 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.