Spatial and temporal variation in the association between temperature and salmonellosis in NZ
Abstract Objective: Modelling the relationship between weather, climate and infectious diseases can help identify high‐risk periods and provide understanding of the determinants of longer‐term trends. We provide a detailed examination of the non‐linear and delayed association between temperature and...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2016-04-01
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| Series: | Australian and New Zealand Journal of Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/1753-6405.12413 |
| _version_ | 1827853030514491392 |
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| author | Aparna Lal Simon Hales Martyn Kirk Michael G. Baker Nigel P. French |
| author_facet | Aparna Lal Simon Hales Martyn Kirk Michael G. Baker Nigel P. French |
| author_sort | Aparna Lal |
| collection | DOAJ |
| description | Abstract Objective: Modelling the relationship between weather, climate and infectious diseases can help identify high‐risk periods and provide understanding of the determinants of longer‐term trends. We provide a detailed examination of the non‐linear and delayed association between temperature and salmonellosis in three New Zealand cities (Auckland, Wellington and Christchurch). Methods: Salmonella notifications were geocoded to the city of residence for the reported case. City‐specific associations between weekly maximum temperature and the onset date for reported salmonella infections (1997–2007) were modelled using non‐linear distributed lag models, while controlling for season and long‐term trends. Results: Relatively high temperatures were positively associated with infection risk in Auckland (n=3,073) and Christchurch (n=880), although the former showed evidence of a more immediate relationship with exposure to high temperatures. There was no significant association between temperature and salmonellosis risk in Wellington. Conclusions: Projected increases in temperature with climate change may have localised health impacts, suggesting that preventative measures will need to be region‐specific. This evidence contributes to the increasing concern over the public health impacts of climate change. |
| first_indexed | 2024-03-12T10:59:30Z |
| format | Article |
| id | doaj.art-5a437dbe7efe4039a770d38173222244 |
| institution | Directory Open Access Journal |
| issn | 1326-0200 1753-6405 |
| language | English |
| last_indexed | 2024-03-12T10:59:30Z |
| publishDate | 2016-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Australian and New Zealand Journal of Public Health |
| spelling | doaj.art-5a437dbe7efe4039a770d381732222442023-09-02T05:53:32ZengElsevierAustralian and New Zealand Journal of Public Health1326-02001753-64052016-04-0140216516910.1111/1753-6405.12413Spatial and temporal variation in the association between temperature and salmonellosis in NZAparna Lal0Simon Hales1Martyn Kirk2Michael G. Baker3Nigel P. French4National Centre for Epidemiology and Population Health, Australian National University, Australian Capital TerritoryDepartment of Public Health University of Otago New ZealandNational Centre for Epidemiology and Population Health, Australian National University, Australian Capital TerritoryDepartment of Public Health University of Otago New ZealandHopkirk Research Institute, Massey University New ZealandAbstract Objective: Modelling the relationship between weather, climate and infectious diseases can help identify high‐risk periods and provide understanding of the determinants of longer‐term trends. We provide a detailed examination of the non‐linear and delayed association between temperature and salmonellosis in three New Zealand cities (Auckland, Wellington and Christchurch). Methods: Salmonella notifications were geocoded to the city of residence for the reported case. City‐specific associations between weekly maximum temperature and the onset date for reported salmonella infections (1997–2007) were modelled using non‐linear distributed lag models, while controlling for season and long‐term trends. Results: Relatively high temperatures were positively associated with infection risk in Auckland (n=3,073) and Christchurch (n=880), although the former showed evidence of a more immediate relationship with exposure to high temperatures. There was no significant association between temperature and salmonellosis risk in Wellington. Conclusions: Projected increases in temperature with climate change may have localised health impacts, suggesting that preventative measures will need to be region‐specific. This evidence contributes to the increasing concern over the public health impacts of climate change.https://doi.org/10.1111/1753-6405.12413temperaturesalomonellosisnon‐linearlagged |
| spellingShingle | Aparna Lal Simon Hales Martyn Kirk Michael G. Baker Nigel P. French Spatial and temporal variation in the association between temperature and salmonellosis in NZ Australian and New Zealand Journal of Public Health temperature salomonellosis non‐linear lagged |
| title | Spatial and temporal variation in the association between temperature and salmonellosis in NZ |
| title_full | Spatial and temporal variation in the association between temperature and salmonellosis in NZ |
| title_fullStr | Spatial and temporal variation in the association between temperature and salmonellosis in NZ |
| title_full_unstemmed | Spatial and temporal variation in the association between temperature and salmonellosis in NZ |
| title_short | Spatial and temporal variation in the association between temperature and salmonellosis in NZ |
| title_sort | spatial and temporal variation in the association between temperature and salmonellosis in nz |
| topic | temperature salomonellosis non‐linear lagged |
| url | https://doi.org/10.1111/1753-6405.12413 |
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