Real-Time Monitoring System For Epidemic

The epidemic is accompanied with every phase of development of humancivilization and has a significant impact on the process of development of humansociety.Several serious epidemic events in the modern history, such as the1918Spanish Flu Pandemic, the Asian flu in1957, the SARS in2003, the H1N1virus in2009,and even the H7N9which is going around now in China, caused heavy financiallosses and a huge panic.Therefore, in the whole system of modern medicine,epidemiological studies still occupy a pivotal position. Modern Epidemiology focuseson disease distributing disciplinarian and influencing factors. Epidemic monitoringand early warning are also the important part of modern epidemiology. The spatialdistribution of the disease is a very important section of the epidemiological studies.Spatial distribution of disease characteristics is an import factor. Analysing of thespatial distribution information accurately can provide the basis for the developmentof effective prevention and control measures scientifically. Lacking the geospatialinformation about the disease, the traditional epidemic monitoring and warningsystems are difficult to intuitively reflect the geographic distribution information ofthe disease. In this paper we integrated the monitoring and warning system withGoogle geographic platform and established the infectious disease data collection,analysis, early warning systems. The system can be used for real-time monitoring ofthe epidemic and trends forecast. Also, it can be used for real-time analysis of theprevalence of the epidemic. Through the analysis of molecular phylogeneticrelationships of the virus genes, we provide a complete method for studying the spread of epidemics with combination both macroscopic and microscopic aspects. Itis conducive to take timely scientific responses, prevent flu pandemics and reducesocial damage.The online service was freely available for academic researches at:http://virusmap.biocuckoo.org.