The Research Basing On MIC To Identifying Sensitive Population And Vulnerable Region On Malaria While Climate Change

Exactly identifying malaria impact factors and each factor’s influence to malaria incidencewould guide the preventive measure of malaria, and it was import to more efficientlyallocating resources since the vaccine was absence. Malaria is a mosquito-borne infectiousdisease of humans and other animals caused by Plasmodium. It is presently endemic in abroad band around equator. The occurrence of malaria is the interaction of human being,anopheles and the natural environment. Human activity influences the natural environment,corresponding the change of natural environment affects the subsistence of anopheles, whilethe survival of anopheles threaten the health of human being. The three interact on andrestricts each other. While the interaction of human and anopheles not limited to though thenatural environment, but also can directly interaction. Human activity can directly affect thesurvival of anopheles, the probability of contact with anopheles, and then it influences theoccurrence of malaria, such as the usage of pesticide, mosquito incense and mosquito net. Itmay represent the human being’s influence, such as society, economic, policy, health, religion,etc. The impact factors are intricate, for a society of human being participating is always acomplex society. Factors of social economic more or less affect the possible of contact ofhuman and anopheles and the incidence of malaria, such as the level of education, economicand health, the proportion of susceptible population, the population of each industry, themethod of economic, etc.Presently, there are many methods and tools to detect the relationship of variables, such asPearson correlation coefficient, manual information, artificial neural networks, geographicaldetector, etc. and each has its own adaptability condition and restriction. One subject alwaysrefers and applies another subject’s methods and tools, so as different fields. Some otherfield’s methods and tools are referred into spatial analysis field, such as Pearson correlationcoefficient is referred to spatial correlation coefficient. Some spatial methods and tools areapplied to analyze social science and public health problem, such as using geographicaldetector to detector the risk factors of the death of children under-five during Wenchuan earthquake. MIC is a newly international ahead method to detect the correlation of twovariables in large dataset, which is superior to other methods to detect the correlation of twovariables. This method presently applied in genus and protein field, and had not widelyapplied in public health. This article intends to detect/analysis those factors that relating tomalaria incidence and rank the level of correlations among those economic and naturalenvironment factors may relating to malaria incidence. The globally map of dominant malariavectors in2010may it possible to determine more exactly research region. The study wouldprovide basic knowledge for making decision to efficiently allocate resources and lower costthough quantifying the influence of each factor to malaria spatial distribution. In addition thispaper’s research could be test about apply MIC in spatial analysis, and promote the methoddevelop in the field of geosciences.We found that malaria incidence is highly associated to malaria funding, and related to meanannual temperature, mean duration month temperature higher than15℃，standard deviation ofduration of month temperature higher than25℃，and mean of monthly precipitation morethan100mm, in global dominant malaria vector distribution region. Mean of nightlight indexis associated with malaria incidence, which is not the same with malaria endemic regionwhere the incidence is more associated with the standard deviation of nightlight index.This article quantified the influence of each factor to global malaria incidence, and measuredthe contribution of some factors in globally dispute and other effected malaria incidence bythe same ruler. Which made up the absence of this field and established the theoreticalfoundation for further identifying sensitive population and dividing vulnerable region, morethan this which can provide the necessary knowledge for human being to adapt the threaten ofthe climate change to public health.