Can We Predict The Rates of Mutation of Influenza Virus Strains?

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It seems that our prediction software for mathematics is the worst of those days. Did you know that we have mathematical formulas, and estimates of calculation used to estimate the “avalanche of sand in the degree of slope, wind, weight of sand, and when £ 100 extra layer enough to trigger event? It’s simply amazing what we can do to predict what we regarded as random and unpredictable.

Not long ago I read an interesting collection of research papers Guang Wu, a Chinese researcher working on strains of influenza, and trying to prevent the massive death of people from a deadly strain mutated flu, such as avian flu or pandemic of swine flu. It estimates the mutation rate, the rate of spread of diseases, and challenges in the future, which can be calculated. He discussed various scenarios of mathematics for these things.

One article he wrote on mathematical formulas for the Monte Carlo prediction is interesting and probably worth a read if you are fascinated by these things. These types of issues do not challenge the mind, and there is also a very good conference TED video presentation that I would also make recommendations on the communication of bacteria during the phases of attrition and as they grow in number and trigger their own rule, once they have the synergy numbers to control the immune system. In a sense, it’s like war strategy.

Guang work in the H1N1 strains of influenza and related fields takes this discussion to another level. Other books I recommend reading about the money;

      * Virus Hunters of the CDC,
      * Microbes
      * Hot Spot
      * Cobra Event,
      * Gravity by Tess Garretsen,
      * Andromeda Strain

After reading all this, I want you to see the National Science Foundation and the study on the CDC computer models of the spread of the virus in a region or country and see the problems of the virus to grow within the ‘person of the same nature.