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1.
Science ; 350(6267): 1482-3, 2015 Dec 18.
Artigo em Inglês | MEDLINE | ID: mdl-26680187
2.
Environ Health ; 14: 20, 2015 Mar 04.
Artigo em Inglês | MEDLINE | ID: mdl-25888865

RESUMO

BACKGROUND: Predictions of intense heat waves across the United States will lead to localized health impacts, most of which are preventable. There is a need to better understand the spatial variation in the morbidity impacts associated with extreme heat across the country to prevent such adverse health outcomes. METHODS: Hyperthermia-related emergency department (ED) visits were obtained from the Truven Health MarketScan(®) Research dataset for 2000-2010. Three measures of daily ambient heat were constructed using meteorological observations from the National Climatic Data Center (maximum temperature, heat index) and the Spatial Synoptic Classification. Using a time-stratified case crossover approach, odds ratio of hyperthermia-related ED visit were estimated for the three different heat measures. Random effects meta-analysis was used to combine the odds ratios for 94 Metropolitan Statistical Areas (MSA) to examine the spatial variation by eight latitude categories and nine U.S. climate regions. RESULTS: Examination of lags for all three temperature measures showed that the odds ratio of ED visit was statistically significant and highest on the day of the ED visit. For heat waves lasting two or more days, additional statistically significant association was observed when heat index and synoptic classification was used as the temperature measure. These results were insensitive to the inclusion of air pollution measures. On average, the maximum temperature on the day of an ED visit was 93.4°F in 'South' and 81.9°F in the 'Northwest' climatic regions of United States. The meta-analysis showed higher odds ratios of hyperthermia ED visit in the central and the northern parts of the country compared to the south and southwest. CONCLUSION: The results showed spatial variation in average temperature on days of ED visit and odds ratio for hyperthermia ED visits associated with extreme heat across United States. This suggests that heat response plans need to be customized for different regions and the potential role of hyperthermia ED visits in syndromic surveillance for extreme heat.


Assuntos
Serviço Hospitalar de Emergência/estatística & dados numéricos , Calor Extremo/efeitos adversos , Febre/epidemiologia , Planos de Assistência de Saúde para Empregados , Poluentes Atmosféricos/análise , Estudos Cross-Over , Febre/etiologia , Planos de Assistência de Saúde para Empregados/estatística & dados numéricos , Razão de Chances , Ozônio/análise , Material Particulado/análise , Fatores de Risco , Estações do Ano , Fatores de Tempo , Estados Unidos/epidemiologia
3.
Science ; 331(6018): 700-2, 2011 Feb 11.
Artigo em Inglês | MEDLINE | ID: mdl-21311006

RESUMO

Climate data are dramatically increasing in volume and complexity, just as the users of these data in the scientific community and the public are rapidly increasing in number. A new paradigm of more open, user-friendly data access is needed to ensure that society can reduce vulnerability to climate variability and change, while at the same time exploiting opportunities that will occur.

4.
Nature ; 427(6971): 213-4; discussion 214, 2004 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-14724628

RESUMO

Urbanization and other changes in land use have an impact on surface-air temperatures. Kalnay and Cai report that the observed surface-temperature trend in part of the United States exceeds the trend in the NCEP/NCAR 50-year reanalysis (NNR) and conclude that changes in land use account for the difference (0.035 degrees C per decade according to their corrected values). Although land-use change may explain some of this discrepancy, the authors do not quantify the impact of the many changes in observational practice that occurred during the analysis period. Our findings indicate that these 'non-climatic' changes have a systematic effect that overwhelms the reported difference in trends and therefore calls Kalnay and Cai's central conclusion into question.

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