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Therefore, model bccr has a high probability to record summer mean temperature with a similar record to that of the observed (Table 5).
There was a statistically significant association between asthma prevalence and mean temperature, with the lowest quartile of mean temperature having an approximately 2% lower asthma prevalence.
Linear approximations of the associations of lag 0 1 mean temperature with mortality were statistically significant across temperatures; below 25th percentile and between 25th and 75th percentiles (Table 2).
The inverse associations between the residential outdoor-personal PM2.5 difference (or ratio) and mean temperature with r̄ j may also suggest lower microenvironmental variation in PM2.5 or an increased contribution of residential outdoor to personal PM2.5 exposure, through either time activity patterns or increased air exchange.
In addition to controlling for each subject, the models also controlled for day of the week with indicator variables; for traffic; and for average heart rate, hour of the day, date, and mean temperature with penalized splines with 4, 6, 12, and 4 degrees of freedom (df), respectively.
In contrast to prior estimates, expected global losses are approximately linear in global mean temperature, with median losses many times larger than leading models indicate.
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Conclusions: In general, kidney stone presentations increased with higher daily mean temperatures, with the strongest associations estimated for lags of only a few days.
Conclusion In the state of California, higher precipitation and higher mean temperature are associated with increased rates of stone surgery.
The mean temperature of children with different parasitaemic status was compared using analysis of variance (ANOVA).
Taking the interaction of climate factors into consideration, only mean temperature was associated with RSV activity in neonates.
The growing season (mean temperature ⩾5 °C) is 150 180 days, with winter and summer mean temperatures at −7 °C and 15 °C, respectively.
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