Corona weather code4/29/2023 The empirical finding distribution of significant correlation coefficients (at the 5% level) according to whether correlation coefficients involved time-lagged effects (blue bars represent the number of negative correlation coefficients, and red bars indicate the number of positive correlation coefficients): (a) the correlation coefficients with lagged weather effects and (b) the correlation coefficients without lagged weather effects. For each variable, the upper solid bars represent the number of all of the correlation coefficients, and the lower hatched bars represent the subset of the upper number that is statistically significant (at the 5% level). Dashed horizontal lines separate the effects of weather variables. Blue bars represent the number of negative correlation coefficients, and red bars indicate the number of positive correlation coefficients. The empirical distribution of COVID-19 spread and weather in different geographic regions according to correlation tests and linear regressions: (a) Africa, (b) Asia, (c) Europe, (d) North America, (e) South America, and (f) Oceania. The population distribution of all correlation coefficients according to correlation tests and regression analysis (blue bars represent the number of negative correlation coefficients, and red bars indicate the number of positive correlation coefficients): (a) all of the correlation coefficients and (b) the subset of the data in (a) that is statistically significant. ![]() (bottom) The four-step process involved in identifying relevant studies for this article, where N represents the number of studies at each step. (top) The scientific-literature databases and keywords used to build the database of published studies. ![]() The process of study identification and selection.
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