RESUMO
[ Objective ] To explore the relationship between outpatients amount and climate in Guangzhou City. [Methods] Correlation regression analysis of the relationship between monthly outpatients amount and simultaneous meteorological indexes was carried out in various departments of three hospitals of Guangzhou from the year of 1993 to 2001. [Results] The main meteorological factors affecting monthly outpatients amount are: monthly average atmospheric pressure, monthly lowest temperature, monthly sunshine hours, monthly rainfall, monthly relative humidity and monthly average wind speed. Monthly average atmospheric pressure, monthly lowest temperature, monthly relative humidity and monthly average wind speed are negatively correlated with monthly outpatients amount while monthly sunshine hours and monthly rainfall are positively correlated. Then the corresponding multivariate linear regression equations are established. The results of analysis showed that the main meteorological indexes which were related to the occurrence of diseases are the above six. [Conclusion] The corresponding multivariate linear regression equations can be used to forecast the epidemic trend of diseases in an area and this will provide evidences for the forecast of occurrence and prevalence of diseases.