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基于大数据的气候变化对季节性疾病预测的综述

A review on prediction of seasonal diseases based on climate change using big data.

作者信息

Indhumathi K, Sathesh Kumar K

机构信息

Department of Computer Applications, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar (Dt)., India.

School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar (Dt)., India.

出版信息

Mater Today Proc. 2021;37:2648-2652. doi: 10.1016/j.matpr.2020.08.517. Epub 2020 Oct 2.

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.

摘要

大数据在预测气候变化导致的疾病方面占据重要地位。在人类生活的各个方面,天气都起着主要作用。它直接影响人类社会或人类生活。因为极端天气状况会在人类中引发各种疾病。如媒介传播疾病(疟疾、登革热和基孔肯雅热)、水传播疾病(霍乱、伤寒)、空气传播疾病(水痘、流感和天花)以及食源性疾病(腹泻和沙门氏菌)等。本次调查概述了诸如极端温度、降水、湿度等气候变量,以及意外的气候条件如何影响疾病和生物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af6/7530581/92e1a02228f8/gr1_lrg.jpg

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