Contact

Jiangsu Maslech Medical Technology Co., Ltd.

Address: Building G39, North Side of Xinyang Road & East Side of Koutai Road , China Medical City , Taizhou City, Jiangsu Province, China

Tel400-0523-167

Fax:400-0523-167

Emailservice@china-maslech.com

Search
locationhome > News > CompanyNews

Big Data can help us avoid the next plague?

2014-8-14 10:20:09Click on the
 

Variability of the moment before a major outbreak of influenza and other epidemics, through large data monitoring and forecasting dynamic surrounding the epidemic around, people no longer have to panic and fear of being infected, already has prompted a timely response prevention; but this is closely related to the medical industry, the trend can be timely informed of the outbreak of disease, the rational allocation and deployment of good medical personnel, while reminding the public to prevent disease and recommendations to reduce the chances of people infected ...... 

This scene will not only appear in Hollywood blockbusters in science and technology. In fact, the future really big data accumulation should be able to predict in advance the human disease situation, because the disease is not there one day, but the constant, daily cumulative out, various data must be changed. So slow data on big data is really valuable, then, what big data and slow data would our lives what kind of impact?

Tap the value of the "slow data"

Now produce large amounts of data every day, but many are of no value data, which did not show enough power. Throughout the relevant industry, medical industry, especially epidemic disease control and early warning is the most obvious and most urgent needs, because of health and every person, every family, every city, every country closely.

For example, we brush your teeth every day, if we can through some sample toothbrushes and other intelligence equipment to collect saliva by temperature and other indicators such "slow data" that has the medical and reference value. Medical field "physiological data" than "physical data" more practical value

The status of domestic disease control

Data show that in the world, along with population growth and urbanization, resulting in hundreds of millions of people is accelerating the deterioration of the living conditions of health and disease as the population grows and people to crowded urban migration and wreak havoc. Easily spread diseases such as influenza in the population are likely to pop in the city.
In this one, China is one of the most obvious, and because of its large population, along with economic development, increasing mobility of people across the region, increasing urbanization, increasing urban population density and structural changes so aggravated epidemics spread, the spread of probability and propagation velocity. While advances in science and technology, improve medical treatment, antibiotics and other widely used drugs, but also accelerate the spread of viruses, bacteria and other pathogens, mutation and evolution, the emergence of a new series of deadly new pathogen infection spread.

Due to the highly developed modern medical technology and the rapid development in the majority of the human heart, the occurrence of a large-scale epidemic seems to be very distant. But the fact is, it never went away.
According to World Health Organization data, in that 2009 H1N1 influenza occurred (also known as domestic swine flu), the global killing at least 12,220 people were killed and 704 deaths within a week new people, and therefore the global stock market fell about 10%.

A variety of large-scale epidemics in the past decade occurred in vivid: SARS, H1N1 influenza, foot and mouth disease, H7N9 bird flu, almost, epidemics will come back every once in a while in a different form.

  Last year, the Ministry of Health spokesman had said: "China is facing the threat of epidemics tradition persists, the grim situation emerging epidemics emerging." Health and epidemic prevention system based on existing monitoring systems and processes already bloated keep up the rhythm, Internet-based epidemiological surveillance of large data becomes very important and very urgent.