Associations between malaria and local and global climate variability in five regions in Papua New Guinea
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DOI[10.1186/s41182-016-0021-x]to the data of the same series
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- Material Type
- 記事
- Author/Editor
- Chisato ImaiHae-Kwan CheongHo Kim
- Publication, Distribution, etc.
- Publication Date
- 2016-08-04
- Publication Date (W3CDTF)
- 2016-08-04
- Periodical title
- Tropical medicine and health
- No. or year of volume/issue
- 44(23)
- Volume
- 44(23)
- ISSN (Periodical Title)
- 1349-4147
- ISSN-L (Periodical Title)
- 1348-8945
- Text Language Code
- eng
- DOI
- 10.1186/s41182-016-0021-x
- Persistent ID (NDL)
- info:ndljp/pid/10233108
- Collection
- Collection (Materials For Handicapped People:1)
- Collection (particular)
- 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- Acquisition Basis
- オンライン資料収集制度
- Date Accepted (W3CDTF)
- 2016-12-28T13:40:57+09:00
- Date Captured (W3CDTF)
- 2016-12-26
- Format (IMT)
- application/pdf
- Access Restrictions
- 国立国会図書館内限定公開
- Service for the Digitized Contents Transmission Service
- 図書館・個人送信対象外
- Availability of remote photoduplication service
- 可
- Periodical Title (URI)
- Periodical Title (Persistent ID (NDL))
- info:ndljp/pid/10233085
- Data Provider (Database)
- 国立国会図書館 : 国立国会図書館デジタルコレクション
- Summary, etc.
- Background: Malaria is a significant public health issue in Papua New Guinea (PNG) as the burden is among the highest in Asia and the Pacific region. Though PNG’s vulnerability to climate change and sensitivity of malaria mosquitoes to weather are well-documented, there are few in-depth epidemiological studies conducted on the potential impacts of climate on malaria incidence in the country. Methods: This study explored what and how local weather and global climate variability impact on malaria incidence in five regions of PNG. Time series methods were applied to evaluate the associations of malaria incidence with weather and climate factors, respectively. Local weather factors including precipitation and temperature and global climate phenomena such as El Nino-Southern Oscillation (ENSO), the ENSO Modoki, the Southern Annular Mode, and the Indian Ocean Dipole were considered in analyses. Results: The results showed that malaria incidence was associated with local weather factors in most regions but at the different lag times and in directions. Meanwhile, there were trends in associations with global climate factors by geographical locations of study sites. Conclusions: Overall heterogeneous associations suggest the importance of location-specific approaches in PNG not only for further investigations but also public health interventions in repose to the potential impacts arising from climate change.Tropical Medicine and Health, 44, 23; 2016
- DOI
- 10.1186/s41182-016-0021-x
- Access Restrictions
- インターネット公開
- Rights (production)
- c 2016 The Author(s).This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Related Material (URI)
- Data Provider (Database)
- 国立情報学研究所 : CiNii Research
- Original Data Provider (Database)
- 学術機関リポジトリデータベース雑誌記事索引データベースCiNii Articles
- Bibliographic ID (NDL)
- 10233108
- NAID
- 120006987651