J Epidemiol Community Health
November 2020
Background: We aimed to use New Zealand's Anzac Day to test the public health effect of secondary public holidays; and to use weekly hospitalisation counts to identify which dates were more health suitable for a potential new public holiday.
Methods: We conducted a retrospective population cohort study of hospital admissions in New Zealand between 23 April and 27 May 1988-2018. We compared acute and arranged hospitalisation and mortality rates in holiday (Anzac Day Monday to Friday) and non-holiday (Anzac Day Saturday or Sunday) years, for mid-week holidays and long weekends; and measured total weekly average acute and arranged hospitalisation counts.
Objectives: Influenza is responsible for a large number of deaths which can only be estimated using modelling methods. Such methods have rarely been applied to describe the major socio-demographic characteristics of this disease burden.
Methods: We used quasi Poisson regression models with weekly counts of deaths and isolates of influenza A, B and respiratory syncytial virus for the period 1994 to 2008.
Background: Influenza has a substantially but poorly measured impact on population health. Estimating its true contribution to hospitalisations remains a challenge.
Methods: We used simple and comprehensive negative binomial regression models with weekly counts of hospitalisations and isolates of influenza A, B and respiratory syncytial virus for the period 1994- 2008.
Background: In recent years publications have called for increased use of administrative data for research; predicted that use would rise; and discussed possible ethical parameters for that use. This paper describes the novel combination of three administrative datasets to create a population cohort for environmental health research, and investigates the potential use of a national health register as a total population denominator.
Methods: We matched a national health register (the New Zealand national health index or NHI) to Quotable Value New Zealand Ltd (QV) nationwide residential dwelling data, and to hospital admissions data, to create a national matched cohort with health outcomes for the period 2000 - 2006.
Objective: To review the published research evidence on the links between excess winter mortality (EWM) or excess winter hospitalization (EWH) and housing quality or socioeconomic status (SES).
Design: Systematic review.
Criteria: Linked data on EWM or EWH and potential associations with housing quality or SES.