Spatial and temporal variation in the association between temperature and salmonellosis in NZ.

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Abstract

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).

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Author and article information

Journal

Journal ID (iso-abbrev): Aust N Z J Public Health

Title: Australian and New Zealand journal of public health

Publisher: Wiley

ISSN (Electronic): 1753-6405

ISSN (Print): 1326-0200

Publication date (Electronic): Apr 2016

Volume: 40

Issue: 2

Affiliations

[1 ] National Centre for Epidemiology and Population Health, Australian National University, Australian Capital Territory.

[2 ] Department of Public Health, University of Otago, New Zealand.

[3 ] Hopkirk Research Institute, Massey University, New Zealand.

Article

DOI: 10.1111/1753-6405.12413

PubMed ID: 26260292

SO-VID: c9179a3b-c40b-42f3-ad20-b0112fb94c0d

History

Keywords: lagged,non-linear,salomonellosis,temperature

Data availability:

Keywords: lagged, non-linear, salomonellosis, temperature

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