Modeling Dengue spread patterns
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Dengue fever (DF) is a vector-borne disease that has transmit alarmingly in recent decades and has now affected the populations of roughly 100 nations, primarily in tropical and subtropical regions. Approximately 390 million cases of dengue fever are reported each year among people living in 128 countries, according to the World Health Organization (WHO). Viral, host, and vector interactions result in complex spatiotemporal patterns in dengue disease. Moreover, it has been previously indicated that the dengue fever epidemic is due to several climatic, social, environmental, and biological fact...
Dengue fever (DF) is a vector-borne disease that has transmit alarmingly in recent decades and has now affected the populations of roughly 100 nations, primarily in tropical and subtropical regions. Approximately 390 million cases of dengue fever are reported each year among people living in 128 countries, according to the World Health Organization (WHO). Viral, host, and vector interactions result in complex spatiotemporal patterns in dengue disease. Moreover, it has been previously indicated that the dengue fever epidemic is due to several climatic, social, environmental, and biological factors, and these factors vary from place to place and with time. Therefore, an accurate spatiotemporal prediction model is essential to understand the disease patterns and improve the monitoring and control of potential threats.
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