With advancements in big geospatial data and artificial intelligence, multi-source data and
diverse data-driven methods have become common in dengue risk prediction …

Accurate forecasting of dengue cases number is urgently needed as an early warning
system to prevent future outbreaks. However, forecasting dengue fever cases with …

Objectives Kashgar, located in Xinjiang, China has a high incidence of tuberculosis (TB)
making prevention and control extremely difficult. In addition, there have been very few …

Dengue, a disease with multifactorial determinants, is linked to population susceptibility to
circulating viruses and the extent of vector infestation. This study aimed to analyze the …

In recent 2 years, the incidence of influenza showed a slight upward trend in Guangxi;
therefore, some joint actions should be done to help preventing and controlling this disease …

Dengue fever outbreak prediction is said to be one way that can be used to restrain the
spread of dengue fever. Thus, the accuracy of the outbreak prediction system becomes …

We present a modeling strategy to forecast the incidence rate of dengue in the department of
Córdoba, Colombia, thereby considering the effect of climate variables. A Seasonal …

Simple Summary Dengue is an infectious disease that affects thousand millions of people
worldwide every year. Here we applied statistical modeling for forecasting future epidemics …

Background Dengue and Zika are two major vector-borne diseases. Dengue causes up to
25,000 deaths and nearly a 100 million cases worldwide per year, while the incidence of …

Timely and accurate knowledge of Dengue incidence is of value to public health
professionals because it helps to enable the precise communication of risk, improved …