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Our results show an association between mean apparent temperature and daily mortality in Lisbon and Oporto, during the warmer months.
Similar to Basu et al. [ 17] we investigated the association between mean apparent temperature and daily mortality using generalized additive models (GAM), with a quasi-Poisson link function, in the warm period (April to September).
In this paper time-series analysis was used to model the relationship between mean apparent temperature and daily mortality during the warm season (April to September) in the two largest urban areas in Portugal Lisbonn and Oporto.
In this paper we investigate the association between mean apparent temperature and daily mortality in Lisbon and Oporto during the warm season using modern statistical methods accounting for confounding effects of air pollution.
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When comparing the results between cities it is important to consider that the use of mean apparent temperature for Barcelona led to lower threshold values and an underestimation of the effect.
Although this study used temperature (not apparent temperature), the cut-off temperature in this study was near to the mean apparent temperature as well the mean observed temperature in Lisbon, and the results are similar.
In this study we used mean apparent temperature to assess heat exposure.
Sixteen of the 59 communities had very mild summers (90th percentile summertime mean apparent temperature < 80°F).
For Barcelona, 3-hourly meteorological data were not available; hence maximum apparent temperature could not be calculated and mean apparent temperature was used instead.
Mean daily temperature and relative humidity data were provided by the Belgian Royal Meteorological Institute and were used to calculate mean apparent temperature, an index of human discomfort.
Table 3 shows the percent increase in mortality associated with mean apparent temperature during the warm season in Oporto.
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