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• W3091544368 abstract "Big Data occupies an important place in the prediction of diseases that happen due to climate change. In each aspect of human life, the weather plays a major role. It directly affects human society or human life. Because of an extreme weather condition creates various diseases among humans. Such as Vector-borne diseases (Malaria, dengue and chikungunya fever), Water-borne diseases (Cholera, Typhoid), Air-borne diseases (Chicken Pox, influenza and small Pox) and Food-borne diseases (Diarrhoea and Salmonella) etc. This survey presents an overview for a climate variable such as extreme temperature, precipitation, humidity and how unexpected climate conditions can affect the disease and living organism." @default.
• W3091544368 created "2020-10-08" @default.
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• W3091544368 date "2021-01-01" @default.
• W3091544368 modified "2023-09-26" @default.
• W3091544368 title "A review on prediction of seasonal diseases based on climate change using big data" @default.
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• W3091544368 doi "https://doi.org/10.1016/j.matpr.2020.08.517" @default.
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