Background: Neurotransmitters, such as dopamine and serotonin, play an undeniable role in the incidence of mental illnesses. Almost all humans will experience depression. Furthermore, most humans lack the ability to control and reduce depression, the disorder can lead to physical damage. The main goal of this study was to determine the association between distribution of depression and the climatic conditions in the Iran country.
Methods: Spatial distribution maps of depression were plotted by using data recorded during 2010 year in the Iran health center registry. The geographical mapping of depression and climatic conditions were then incorporated into a geographic information system to create a spatial distribution model and in this study we used neural network to model the trend of depression and climatic conditions.
Results: The spatial distributions of depression diseases in the country, followed by were scattered based on climatic conditions. In fact, common depression was more prevalent in the parts of the country where cold and rainy weather was more abundant.
Conclusions: The findings of this study can be useful for psychologists and controlling of this disease, because lack the ability to control and reduce depression, the disorder can lead to physical damage. Data are also important to establish further effects modeling for depression. Moreover, psychologists and health professionals should consider the impact of environmental factors on their patients’ health.