Network Modelling on Tropical Diseases vs. Climate Change

Tropical countries are the countries which are near to the equator of our earth planet, which are supposed to have high temperature, which are homelands for many insects which spread diseases, and which have many diseases solely like malaria, dengue, chikungunya etc. There is a chance to have hot conditions and humid conditions in these regions and these conditions are good enough for infectious diseases. Clinical tests and experimental tests help to understand nature of diseases and nature of medicines. But, they are not sufficient to explain many things, because results of tests in one region may contradict results of tests in another region. Only mathematical models, equations and solutions can explain some more things, more specifically about confronting medical facts. But these models alone cannot explain everything, because models cannot be complete in all aspects, and parameters involved in models can be found only by means of experimental data. Even in clinical tests, one has to depend on statistical methods in terms of measures of central tendency, measures of dispersions, correlation coefficients, regression lines, estimations and hypotheses testing which depend on probability. Regression line methods are modified as curve fitting, by guessing the curves in terms of solutions of equations involved in models. Probabilistic methods are modified as stochastic methods to understand long term effects. There are articles in literature for all these things explained above, and researches continue, because tropic countries are most affected countries by climate changes which happen.