Corpus ID: 15205697

Modeling and Forecasting Malaria and Dengue Hemorrhagic Fever Incidence and Prevalence in Northern Thailand

@inproceedings{Sriwattanapongse2011ModelingAF,
  title={Modeling and Forecasting Malaria and Dengue Hemorrhagic Fever Incidence and Prevalence in Northern Thailand},
  author={Wattanavadee Sriwattanapongse and Surin Khanabsakdi},
  year={2011}
}
Malaria and dengue hemorrhagic fever (DHF) are infectious diseases prevalent in many tropical countries, including Thailand. Thailand is located geographically in a tropical zone and the transmission of malaria and DHF is common, particularly in the upper Northern region of the country. The objective of this study is to identify the patterns of hospital-diagnosed Malaria and DHF incidences by using the previous monthly or quarterly periods of incidences occurring in the upper Northern region of… Expand

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References

SHOWING 1-10 OF 33 REFERENCES
Strong correlation between rainfall and the prevalence of dengue in central region of Thailand in 2004.
TLDR
The least square equation plot prevalence (Y) versus rainfall (X) was Y=17.5X+24.2 (r=0.88, p<0.05), which suggests that the prevalence of dengue in this area is significantly affected by rainfall. Expand
An information value based analysis of physical and climatic factors affecting dengue fever and dengue haemorrhagic fever incidence
TLDR
Empirical relationship of climatic factors rainfall, temperature and humidity with the DF/DHF incidences using multivariate regression analysis and a GIS based methodology is proposed in this paper to explore the influence of physio-environmental factors on dengue incidences. Expand
Forecasting malaria incidence based on monthly case reports and environmental factors in Karuzi, Burundi, 1997–2003
TLDR
A model showing the relation between monthly notifications of malaria cases and the environmental variables was developed and is a simple and useful tool for producing reasonably reliable forecasts of the malaria incidence rate in the study area. Expand
Dengue and dengue hemorrhagic fever.
TLDR
Control of dengue at the present time is dependent on control of the principal vector mosquito, A. aegypti, and indigenous transmission in the continental United States remains a public health concern. Expand
Geostatistical Modelling, Analysis and Mapping of Epidemiology of Dengue Fever in Johor State, Malaysia
Dengue fever, and especially the life-threatening form - DHF is an infectious mosquitoborne disease that places a heavy burden on public health systems in Malaysia as well as on most of the tropicalExpand
Climatic variables and malaria incidence in Dehradun, Uttaranchal, India.
TLDR
Climatic variables that predict the presence or absence of malaria are likely to be the best suited for forecasting the distribution of this disease at the edges of its range. Expand
Dengue fever: new paradigms for a changing epidemiology
TLDR
This paper reviews the changing epidemiology of the disease, focusing on host and societal factors and drawing on national and regional journals as well as international publications, and selected areas where the literature raises challenges to prevailing views and those that are key for improved service delivery in poor countries. Expand
Climatic variables and transmission of malaria: a 12-year data analysis in Shuchen County, China.
TLDR
The results indicate that climatic variables should be considered as possible predictors for regions with similar geographic, climatic, and socioeconomic conditions to those of Shuchen County. Expand
Impact of Climatic Factors on Dengue Haemorrhagic Fever Incidence in Southern Thailand
This study investigated climatic factors associated with Dengue Haemorrhagic Fever (DHF) incidence in southern Thailand, and compared the differential effects of climatic factors on the incidence ofExpand
Dengue epidemics and the El Niño Southern Oscillation
The World Health Organization (WHO) reported that the 1997/98 El Nino might have been the cause of the dengue fever epidemics in many tropical countries. Because of the interaction between theExpand
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