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Heat and Cold Waves in an Annual Cycle Air Temperatures in Warsaw (1951-2010)

100%
Stopa-Boryczka M., Boryczka J., Kossowska-Cezak U., Wawer J.
Miscellanea Geographica. Regional Studies on Development
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2011
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vol. 15
103-114
EN
Heat and cold waves in Warsaw (the Okęcie district) have been determined determined basing on daily average air temperature values in Warsaw (the Okęcie district), measured for 60 years between 1951 and 2010. Air temperature cycles, i.e. periods, amplitudes and phases have been determined by means of a sinusoidal regression method. Especially worth noting are 15 to 18-day long cycles of air temperature in given months (e.g. 16-day long cycles during 6 months: March, April, May, August, September, and October). Heat and cold waves result from interferences of cycles whose duration ranges from several to teen days of daily temperature values, and long-term cycles of average annual temperature.
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Air temperature exposure and agricultural occupational injuries in the Autonomous Province of Trento (2000–2013, North-Eastern Italy)

100%
Riccò M.
International Journal of Occupational Medicine and Environmental Health
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2017
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vol. 31
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issue 3
317-331
EN
Objectives The aim of this study was to evaluate the relationship between high air temperatures and occupational injuries (OIs) occurred during the summer seasons 2000–2013 in agricultural workers from the Autonomous Province of Trento (APT), North-Eastern Italy. Material and Methods Data about OIs for the APT from 2000 to 2013 occurring during the warm season (N = 7325) was provided by the National Institute of Insurance for Occupational Illness and Injury. Daily average and daily maximum temperatures values for the specific geographical site of events were retrieved. Daily temperatures were then assessed in 3 time lags: for the day of the event (lag 0), and for the previous 24 h (lag 1) and 48 h (lag 2). Daily temperatures were then categorized in 3 exposure groups (< 75th, 75–95th and > 95th percentiles). The risk of OIs was assessed as odds ratio (OR) calculated through a Poisson regression model controlled for age, sex, ethnicity and time period, and assuming OI rates for days on which temperature was comprised in < 75th percentile exposure groups as the referent ones. Results Estimated incidence of OIs during the study period was 3.4±2.3 events/day. The peak of work-related accidents occurred on days characterized by severe thermal conditions, and in particular during heat waves (incidence rate ratio = 1.09, 95% confidence interval (CI): 1.02–1.17, p = 0.0165). Days having temperatures higher than 95th percentile, assessed as daily average, both on current days (OR = 1.119, 95% CI: 1.008–1.242) and in lag 1 (OR = 1.125, 95% CI: 1.013–1.249), as well as daily maximum temperatures, were at the highest risk of work-related injuries (OR = 1.144, 95% CI: 1.029–1.272). Conclusions In conclusion, presented findings recommend policymakers to develop appropriate warning/alert systems for agricultural workers regarding high environmental temperatures. Int J Occup Med Environ Health 2018;31(3):317–331
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The accuracy of the heat index to explain the excess of mortality and morbidity during heat waves – a case study in a mediterranean climate

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Monteiro A., Carvalho V., Velho S., Sousa C.
Bulletin of Geography. Socio-economic Series
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2013
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vol. 20
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issue 20
71-84
EN
The aim of this contribution was to evaluate the accuracy of a well known human comfort index, the heat index, to anticipate the effects of the July 2006 heat wave in mortality (all causes) and morbidity (all causes, respiratory and circulatory disease). Our assessment was done to all citizens, to people of the 75+ cohort and to each gender, in Porto. For further statistical analysis, we calculated an expected number of admissions by averaging the admissions recorded during the comparison period. The 95% confidence interval was calculated, using a standard method based on the t-distribution, for differences between independent means with different population variances, using the Leveane test to evaluate the variance’s homogeneity. During the 2006 heat wave, a 52% mortality excess was registered relatively to the expected mortality (p < 0.001), for all cohorts of the population. The admissions excess for all ages included the admissions due to respiratory diseases (p < 0.029), pneumonia (p < 0.001) and chronic obstructive pulmonary disease (p < 0.001). For the 75+ cohort, the admissions due to respiratory diseases (p < 0.017), pneumonia (p < 0.001) and heart failure (p < 0.610) were also statistically high. The obtained results confirm that the heat index is a truthful method to anticipate the negative impacts of heat waves in human health even in climate contexts adapted to hot summers like at Porto - a Mediterranean tempered climate. The impacts of July 2006’s heat wave in the increase of mortality (all causes) and in respiratory morbidity (all population and 75+cohort) was evident.
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