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Year : 2017 | Volume
: 10
| Issue : 3 | Page : 758-759 |
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What can we learn from Google Map base GIS system on opisthorchiasis in northeastern Thailand? |
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Sora Yasri1, Viroj Wiwanitkit2
1 KMT Primary Care Center, Bangkok, Thailand 2 Hainan Medical Ubicersity, Hainan, China
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Date of Web Publication | 21-Aug-2017 |
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How to cite this article: Yasri S, Wiwanitkit V. What can we learn from Google Map base GIS system on opisthorchiasis in northeastern Thailand?. Ann Trop Med Public Health 2017;10:758-9 |
How to cite this URL: Yasri S, Wiwanitkit V. What can we learn from Google Map base GIS system on opisthorchiasis in northeastern Thailand?. Ann Trop Med Public Health [serial online] 2017 [cited 2021 Feb 28];10:758-9. Available from: https://www.atmph.org/text.asp?2017/10/3/758/196599 |
Dear Editor
Opisthorchiasis is an important trematode infestation with an extremely high prevalence in northeastern region of Thailand. To control this tropical infection is a big issue.[1] The great concern is on the fact that opisthorchiasis can further induce cholangiocarcinoma [1], hence, the good disease surveillance system is needed. With advance computational technology, at present, there are some reports on using Google Map base GIS system to collect and present the data on opisthorchiasis in northeastern Thailand.[2],[3]
Kaewpitoon et al.[2],[3] recently mentioned for the usefulness of the system and demonstrated risk villages in studied areas. To make use of the mentioned data by Kaewpitoon et al.[2],[3], the authors hereby interpret such GIS map. The interesting finding that is not mentioned by Kaewpitoo et al.[2],[3] is the nonspecific pattern of the distribution of villages at different degrees of risk. Some high-risk village located within the group of low or no risk villages (see example on the map at this website: http://www.apocpcontrol.org/paper-file/issue-abs/Volume17-No3/1293-1297%2011.2%20Soraya%20J%20Kaewpitoon.pdf). This implies that the use of only Google Map base GIS system for planning the control of opisthorchiasis in this area might not be sufficient. To have a multidisciplinary approach based on multidimensional analysis should be considered.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest to declare.
References | |  |
1. | Sripa B, Pairojkul C. Cholangiocarcinoma: lessons from Thailand. Curr Opin Gastroenterol 2008;24:349-56. |
2. | Kaewpitoon SJ, Rujirakul R, Sangkudloa A, Kaewthani S, Khemplila K, Cherdjirapong K. Distribution of the population at risk of cholangiocarcinoma in Bua Yai District, Nakhon Ratchasima of Thailand using Google Map. Asian Pac J Cancer Prev 2016;17:1433-36. |
3. | Kaewpitoon SJ, Rujirakul R, Joosiri A, Jantakate S, Sangkudloa A, Kaewthani S. GIS database and Google Map of the population at risk of cholangiocarcinoma in Mueang Yang District, Nakhon Ratchasima Province of Thailand. Asian Pac J Cancer Prev 2016;17:1293-97. |

Correspondence Address: Sora Yasri KMT Primary Care Center, Bangkok Thailand
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/1755-6783.196599

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