2013
DOI: 10.2471/blt.12.113035
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Hospital admissions as a function of temperature, other weather phenomena and pollution levels in an urban setting in China

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Cited by 76 publications
(53 citation statements)
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References 27 publications
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“…Season has been reported as a possible effect modifier on the association between environmental factors and respiratory morbidity in a previous local study,22 therefore the same classification of season was adopted for this study. Subgroup analyses by age group were done for older adults (aged 60 or over), working age adults (aged 15–59) and children (aged under 15).…”
Section: Methodsmentioning
confidence: 99%
“…Season has been reported as a possible effect modifier on the association between environmental factors and respiratory morbidity in a previous local study,22 therefore the same classification of season was adopted for this study. Subgroup analyses by age group were done for older adults (aged 60 or over), working age adults (aged 15–59) and children (aged under 15).…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, in the association between meteorological parameters and health outcome, we used only lag 0 (current effects). The results of many studies [34,35] report that delayed effects (i.e., lag 3, lag 4, lag 7, lag 14 etc.) of meteorological parameters, especially temperature, could be very important for the observed health outcome.…”
Section: Discussionmentioning
confidence: 99%
“…It is also important to note that only general populations were used in this study. All analyses were performed according to gender and age group (< 15 years, 15-59 years, 60-74 years and ≥ 75 years), as previously described by Chan et al (2013). In addition, the number of hospital admissions was recorded from January 1, 2007 to April 30, 2013 at Nakornping Hospital, ChiangMai (NHCM).…”
Section: Figmentioning
confidence: 99%
“…It is well known that weather conditions and air pollution levels play an important role in hospital admissions for respiratory diseases (Chan et al, 2013;Martin et al, 2013). To investigate the influence of trace gaseous concentrations and meteorological variables on hospital admissions for respiratory diseases, Male-OPD and Female-OPD were modeled as:…”
Section: Mlra Assessmentmentioning
confidence: 99%