Modelled seasonal influenza mortality shows marked differences in risk by age, sex, ethnicity and socioeconomic position in New Zealand
Copyright © 2017 The British Infection Association. Published by Elsevier Ltd. All rights reserved..
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.
RESULTS: The estimated average mortality rate was 13.5 per 100,000 people which was 1.8% of all deaths in New Zealand. Influenza mortality differed markedly by age, sex, ethnicity and socioeconomic position. Relatively vulnerable groups were males aged 65-79 years (Rate ratio (RR) = 1.9, 95% CI: 1.9, 1.9 compared with females), Māori (RR = 3.6, 95% CI: 3.6, 3.7 compared with European/Others aged 65-79 years), Pacific (RR = 2.4, 95% CI: 2.4, 2.4 compared with European/Others aged 65-79 years) and those living in the most deprived areas (RR = 1.8, 95% CI: 1.3, 2.4) for New Zealand Deprivation (NZDep) 9&10 (the most deprived) compared with NZDep 1&2 (the least deprived).
CONCLUSIONS: These results support targeting influenza vaccination and other interventions to the most vulnerable groups, in particular Māori and Pacific people and men aged 65-79 years and those living in the most deprived areas.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2017 |
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| Erschienen: |
2017 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:75 |
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| Enthalten in: |
The Journal of infection - 75(2017), 3 vom: 31. Sept., Seite 225-233 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Khieu, Trang Q T [VerfasserIn] |
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| Anmerkungen: |
Date Completed 03.04.2018 Date Revised 07.12.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jinf.2017.05.017 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM272596507 |
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| 500 | |a Date Revised 07.12.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2017 The British Infection Association. Published by Elsevier Ltd. All rights reserved. | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a RESULTS: The estimated average mortality rate was 13.5 per 100,000 people which was 1.8% of all deaths in New Zealand. Influenza mortality differed markedly by age, sex, ethnicity and socioeconomic position. Relatively vulnerable groups were males aged 65-79 years (Rate ratio (RR) = 1.9, 95% CI: 1.9, 1.9 compared with females), Māori (RR = 3.6, 95% CI: 3.6, 3.7 compared with European/Others aged 65-79 years), Pacific (RR = 2.4, 95% CI: 2.4, 2.4 compared with European/Others aged 65-79 years) and those living in the most deprived areas (RR = 1.8, 95% CI: 1.3, 2.4) for New Zealand Deprivation (NZDep) 9&10 (the most deprived) compared with NZDep 1&2 (the least deprived) | ||
| 520 | |a CONCLUSIONS: These results support targeting influenza vaccination and other interventions to the most vulnerable groups, in particular Māori and Pacific people and men aged 65-79 years and those living in the most deprived areas | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Influenza | |
| 650 | 4 | |a Mortality | |
| 650 | 4 | |a Regression model | |
| 650 | 4 | |a Virus | |
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| 700 | 1 | |a Telfar-Barnard, Lucy Frances |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Jane |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Q Sue |e verfasserin |4 aut | |
| 700 | 1 | |a Baker, Michael G |e verfasserin |4 aut | |
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