Monte Carlo simulation-based estimation for the minimum mortality temperature in temperature-mortality association study-Reference-Cited by-同舟云学术

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Monte Carlo simulation-based estimation for the minimum mortality temperature in temperature-mortality association study

Published:2017-09-07 Issue:1 Volume:17 Page:
ISSN:1471-2288
Container-title:BMC Medical Research Methodology
language:en
Short-container-title:BMC Med Res Methodol

Author:

Lee Whanhee,Kim Ho,Hwang Sunghee,Zanobetti Antonella,Schwartz Joel D.,Chung Yeonseung

Funder

National Research Foundation of Korea

Ministry of Environment Korea

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Epidemiology

Link

http://link.springer.com/content/pdf/10.1186/s12874-017-0412-7.pdf

Reference15 articles.

1. Gasparrini A, Guo Y, Hashizume M, Lavigne E, Zanobetti A, Schwartz J, Tobias A, Tong S, Rocklöv J, Forsberg B. Mortality risk attributable to high and low ambient temperature: a multicountry observational study. Lancet. 2015;386(9991):369–75.

2. Armstrong B. Models for the relationship between ambient temperature and daily mortality. Epidemiology. 2006;17(6):624–31.

3. Chung Y, Lim YH, Honda Y, Guo YL, Hashizume M, Bell ML, Chen BY, Kim H. Mortality related to extreme temperature for 15 cities in northeast Asia. Epidemiology. 2015;26(2):255–62.

4. Curriero FC, Heiner KS, Samet JM, Zeger SL, Strug L, Patz JA. Temperature and mortality in 11 cities of the eastern United States. Am J Epidemiol. 2002;155(1):80–7.

5. Guo Y, Gasparrini A, Armstrong B, Li S, Tawatsupa B, Tobias A, Lavigne E, de Sousa Zanotti Stagliorio Coelho M, Leone M, Pan X, et al. Global variation in the effects of ambient temperature on mortality: a systematic evaluation. Epidemiology. 2014;25(6):781–9.

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