To elucidate relationships between meteorological variables and incidence of stroke, we studied patients diagnosed with stroke after presenting to the emergency department (May 1, 2010-August 8, 2011). Patient demographics and medical data were reviewed retrospectively with regional meteorological data. Across 467 days, 134 stroke events were recorded on 114 days. On stroke days, maximum temper...

the present study compared simple thermal indices and the indices derived from energy budget models in the northwest of iran. for this purpose, the air temperature, solar radiation, relative humidity, cloud, cover and wind speed of 13 meteorological stations in the northwest of iran during the  the period of 1986 to 2007 were selected for comparison. the results which were extracted using biokl...

BACKGROUND Temperature and humidity strongly affect the physiology, longevity, fecundity and dispersal behavior of Aedes aegypti, vector of dengue fever. Contrastingly, the statistical associations measured between time series of mosquito abundance and meteorological variables are often weak and contradictory. Here, we investigated the significance of these relationships at different time scale...

The Souss-Massa region in southwestern Morocco is characterized by a semi-arid climate with high variability rainfall. Frequent droughts and flash flood events combined overexploitation of water resources recent decades have had significant impact on the human security economy which mainly based agriculture, tourism fishery. For better management extreme under changing climatic conditions, stud...

background: the malaria early warning system is defined as the use of prognostic variables for predicting the occurrence of malaria epidemics several months in advance. the principal objective of this study was to provide a malaria prediction model by using meteorological variables and historical malaria morbidity data for malaria-en­demic areas in south eastern iran. methods: a total of 2002 l...

The aim of this study is to model the association between weekly time series of dengue case counts and meteorological variables, in a high-incidence city of Colombia, applying Bayesian hierarchical dynamic generalized linear models over the period January 2008 to August 2015. Additionally, we evaluate the model's short-term performance for predicting dengue cases. The methodology shows dynamic ...