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A Systematic Review of Methodology: Time Series Regression Analysis for Environmental Factors and Infectious Diseases
http://hdl.handle.net/10069/35301
http://hdl.handle.net/10069/35301665ae4de-b1ff-4a1b-8aa5-a3b976a4ea97
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TMH43_1.pdf (595.4 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2015-05-12 | |||||
| タイトル | ||||||
| タイトル | A Systematic Review of Methodology: Time Series Regression Analysis for Environmental Factors and Infectious Diseases | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Environmental factor | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | GAM | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | GLM | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Infectious disease | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Review | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Seasonality | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Time series | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Weather | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
Imai, Chisato
× Imai, Chisato× Hashizume, Masahiro |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Background: Time series analysis is suitable for investigations of relatively direct and short-term effects of exposures on outcomes. In environmental epidemiology studies, this method has been one of the standard approaches to assess impacts of environmental factors on acute non-infectious diseases (e.g.cardiovascular deaths), with conventionally generalized linear or additive models (GLM and GAM). However, the same analysis practices are often observed with infectious diseases despite of the substantial differences from non-infectious diseases that may result in analytical challenges. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, systematic review was conducted to elucidate important issues in assessing the associations between environmental factors and infectious diseases using time series analysis with GLM and GAM. Published studies on the associations between weather factors and malaria, cholera, dengue, and influenza were targeted. Findings: Our review raised issues regarding the estimation of susceptible population and exposure lag times, the adequacy of seasonal adjustments, the presence of strong autocorrelations, and the lack of a smaller observation time unit of outcomes (i.e. daily data). These concerns may be attributable to features specific to infectious diseases, such as transmission among individuals and complicated causal mechanisms. Conclusion: The consequence of not taking adequate measures to address these issues is distortion of the appropriate risk quantifications of exposures factors. Future studies should pay careful attention to details and examine alternative models or methods that improve studies using time series regression analysis for environmental determinants of infectious diseases. | |||||
| 書誌情報 |
Tropical Medicine and Health 巻 43, 号 1, p. 1-9, 発行日 2015-03-14 |
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| 出版者 | ||||||
| 出版者 | 日本熱帯医学会 | |||||
| 出版者別言語 | ||||||
| 値 | Japanese Society of Tropical Medicine | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 13488945 | |||||
| EISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 13494147 | |||||
| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.2149/tmh.2014-21 | |||||
| 権利 | ||||||
| 権利情報 | c 2015 Japanese Society of Tropical Medicine | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| 引用 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | Tropical Medicine and Health, 43(1), pp.1-9; 2015 | |||||
