| Title |
MaxEnt modeling of soil-transmitted helminth infection distributions in Thailand
|
|---|---|
| Published in |
Parasitology Research, August 2018
|
| DOI | 10.1007/s00436-018-6048-7 |
| Pubmed ID | |
| Authors |
J. Chaiyos, K. Suwannatrai, K. Thinkhamrop, K. Pratumchart, C. Sereewong, S. Tesana, S. Kaewkes, B. Sripa, T. Wongsaroj, A. T. Suwannatrai |
| Abstract |
Infections due to soil-transmitted helminths (STHs), i.e. Ascaris lumbricoides, Trichuris trichiura, hookworms, and Strongyloides stercoralis, are widely distributed in tropical and subtropical areas in which approximately 1.5 billion people are infected. A clear understanding of the epidemiology and distribution of diseases is an important aid for control and prevention. The aim of our study was to identify the effects of environmental and climatic factors on distribution patterns of STHs and to develop a risk map for STH infections under current environmental and climate regimes in Thailand. Geographical information systems (GIS), remote sensing, and Maximum Entropy (MaxEnt) algorithm software were used to determine the significant factors and to create predictive risk maps for STH infections in Thailand. The disease data from Thailand covered the years from 1969 to 2014, while environmental and climatic data were compiled from the Worldclim database, MODIS satellite imagery, Soilgrids and ISCGM. The models predicted that STHs occur mainly in southern Thailand. Mean annual precipitation was the factor most affecting the current distribution of A. lumbricoides, T. trichiura, and S. stercoralis. Land cover class was the main predictor for distribution of S. stercoralis and important for hookworms. Altitude was the dominant factor affecting the distribution of hookworms, and mean temperature of the wettest quarter was significantly associated with A. lumbricoides distribution. A predicted distribution map of STHs to identify environmental risk factors in Thailand is presented. This work provides a model for use in STH monitoring and health planning not only in Thailand but also in other countries with similar disease conditions. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Georgia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Doctoral Student | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 21 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 16% |
| Medicine and Dentistry | 7 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Environmental Science | 3 | 6% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 20 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 August 2018.
All research outputs
#17,987,988
of 23,100,534 outputs
Outputs from Parasitology Research
#2,097
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Outputs of similar age
#239,292
of 333,251 outputs
Outputs of similar age from Parasitology Research
#35
of 82 outputs
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