COVID-19 is a global epidemic that has spread to over 170 nations. In practically all of the countries affected, number infected and death cases been rising rapidly. Forecasting approaches can be implemented, resulting in development more effective strategies making informed judgments. These examine historical data order make accurate predictions about what will happen future. forecasts could a...

This study aimed to determine temporal patterns and develop a forecasting model for dengue incidence in northeastern Thailand. Reported cases were obtained from the Thailand national surveillance system. The temporal patterns were displayed by plotting monthly rates, the seasonal-trend decomposition procedure based on loess (STL) was performed using R 2.2.1 software, and the trend was assessed ...

We test the predictive accuracy of forecasts number COVID-19 fatalities produced by several forecasting teams and collected United States Centers for Disease Control Prevention during first second waves epidemic in States. find three main results. First, at short horizon (1-week ahead) no team outperforms a simple time-series benchmark. Second, longer horizons (3- 4-week forecasters are more su...

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background: in recent years, there has been an increase in the amount and variety of data generated in the field of healthcare, (e.g., data related to the prevalence of contagious diseases in the society). various patterns of individuals’ relationships in the society make the analysis of the network a complex, highly important process in detecting and preventing the incidence of diseases. there...

Twitter is one of the essential social media tools used by many people because they express their views, daily problems, and what suffer from health aspects. On Twitter, we can detect track spread most serious diseases like flu; analyzing people's tweets collecting reports organizations. In this paper, data was collected in Arabic language related to influenza using keywords. Then, applied seve...