Effect of extreme hot and cold weather on cause-specific hospitalizations in Sweden: A time series analysis

Considering that several meteorological variables can contribute to weather vulnerability, the estimation of their synergetic effects on health is particularly useful. The spatial synoptic classification (SSC) has been used in biometeorological applications estimate effect entire suite conditions human morbidity and mortality. In this study, we assessed relationships between extremely hot dry (dry tropical plus, DT+) moist (moist MT+) types summer cold polar DP+) polar, MP+) winter cardiovascular respiratory hospitalizations by age sex. Time-series quasi-Poisson regression with distributed lags was assess relationship oppressive daily over 14 subsequent days extended (May August) 28 during (November March) 24 years 4 Swedish locations from 1991 2014. summer, exposure appeared reduce while increased risk for diseases, mainly related MT+. winter, both cause-specific small; however, MP+ a delayed increase hospitalizations, whilst DP + due diseases. This study provides useful information staff hospitals elderly care centers who help implement protective measures patients residents. Also, our results could be helpful vulnerable people adopt risks.