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- W276568762 abstract "The possible association between daily overall, respiratory, and cardiovascular mortality and several daily pollution and weather variables was investigated using general multiple time-series frequency-domain regression models on data from fourteen London winters, 1958-1971. The best model for predicting overall cardiovascular or respiratory mortality involved temperature and the logarithms of the levels of either sulfur dioxide or particulates (British smoke). The effects of the two pollutants were essentially indistinquishable. Relative humidity had no significant effect. Pollution is more important than temperature for predicting changes in overall respiratory mortality but less important for predicting cardiovascular mortality. Judging by significant coefficients in the regression analysis, pollution acts positively on same-day mortality. In contrast, temperature acts positively on same-day overall and cardiovascular mortality and temperature lagged by two days acts negatively on all measures of mortality. The strongest frequency-domain association, as measured by the multiple coherence, occur at periods ranging between seven and twenty-one days." @default.
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- W276568762 date "1983-12-01" @default.
- W276568762 modified "2023-09-27" @default.
- W276568762 title "Statistical analysis of daily London mortality and associated weather and pollution effects. Final report" @default.
- W276568762 hasPublicationYear "1983" @default.
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