International Journal of Preventive Medicine

: 2019  |  Volume : 10  |  Issue : 1  |  Page : 152-

Expected under-recorded incidence of dengue in Thailand–Myanmar border provinces

Sora Yasri1, Viroj Wiwanitkit2,  
1 KMT Primary Care Center, Bangkok, Thailand
2 Department of Tropical Medicine, Hainan Medical University, Haikou, China

Correspondence Address:
Sora Yasri
KMT Primary Care Center, Bangkok

How to cite this article:
Yasri S, Wiwanitkit V. Expected under-recorded incidence of dengue in Thailand–Myanmar border provinces.Int J Prev Med 2019;10:152-152

How to cite this URL:
Yasri S, Wiwanitkit V. Expected under-recorded incidence of dengue in Thailand–Myanmar border provinces. Int J Prev Med [serial online] 2019 [cited 2020 Aug 4 ];10:152-152
Available from:

Full Text

Dear Editor,

Dengue is an important mosquito-borne infection that is presently a big public health problem in several countries. This infection is very common in tropical Indo-China.[1] Owing to the developing nature of many tropical countries in this area, the control of disease is very difficult. In Myanmar and Thailand, the big outbreaks of dengue occur every year.[2] The problem is extremely serious in the remote and the border area where the access is usually difficult, and the problem is extremely common.[3] Here, the authors try to assess and estimate the expected recorded incidence of dengue in Thailand–Myanmar border provinces. On the basis of previous report by Yotthanooi and Choonpradub,[4] the under-recording of tropical disease incidence is common and can be reflected by outliner low-incidence record in the surveillance report from the same endemic area. Here, the authors summarize the official surveillance report by Center of Disease Control, Thailand on the dengue incidence in year 2017. The specific data on 10 Thailand–Myanmar border provinces of Thailand were analyzed. To estimate the under-recorded incidence of dengue, the method provided by Yotthanooi and Choonpradub was used.[4] The estimation is by mathematical model technique. The available epidemiology data of dengue in the focused provinces from Thai Ministry of Public Health are used as primary data for mathematical modeling [Table 1]. Because the geographical and geosocial background in the studied provinces are the same, the primary assumption is that there should be a similar incidence of dengue in all the provinces. The authors first constructed a prediction equation based on the data without outliners as the following process. First, the recorded incidence rate of the 10 provinces were analyzed to find the outliner low records. For the records without outliner problem, the regression analysis between incidence rate and population in each province was done to get the final prediction equation. On the basis of analysis, there are four outliners. The prediction equation is Y = 178.96 – 2.17X, where Y = expected incidence rate of dengue (/100,000) and X = number of population (×100,000). Using this equation, the predicted incidence rate for the specific provinces with outliner problem can also be calculated. After the calculation, the authors then calculated for the difference between the predicted incidence and the recorded incidence in the provinces with outliners. It can be seen that the expected under-recorded incidence are between 18.58 and 146.78 per 100,000 population. This rate is considered a problem in surveillance system in this area. To find a new system by using the active case search might be a good mean for improving the reliability of the recording of dengue in this specific border area. Focusing on the limitation of the present report, the observation is by mathematical modeling study. A further verification by prospective observation is required.{Table 1}

Financial support and sponsorship


Conflicts of interest

There are no conflicts of interest.


1Wiwanitkit V. Dengue fever: Diagnosis and treatment. Expert Rev Anti Infect Ther 2010;8:841-5.
2Pinheiro FP, Corber SJ. Global situation of dengue and dengue haemorrhagic fever, and its emergence in the Americas. World Health Stat Q 1997;50:161-9.
3Ellis RD, Fukuda MM, McDaniel P, Welch K, Nisalak A, Murray CK, et al. Causes of fever in adults on the Thai-Myanmar border. Am J Trop Med Hyg 2006;74:108-13.
4Yotthanooi S, Choonpradub C. A statistical method for estimating under-reported incidence rates with application to child diarrhea in Thai provinces bordering Cambodia. Southeast Asian J Trop Med Public Health 2010;41:203-14.