Your browser doesn't support javascript.
Estimated inequities in COVID-19 infection fatality rates by ethnicity for Aotearoa New Zealand.
Steyn, Nicholas; Binny, Rachelle N; Hannah, Kate; Hendy, Shaun C; James, Alex; Kukutai, Tahu; Lustig, Audrey; McLeod, Melissa; Plank, Michael J; Ridings, Kannan; Sporle, Andrew.
  • Steyn N; School of Mathematics and Statistics University of Canterbury; Department of Physics, University of Auckland; Te Punaha Matatini: the Centre for Complex Systems and Networks.
  • Binny RN; Manaaki Whenua; Te Punaha Matatini: the Centre for Complex Systems and Networks.
  • Hannah K; Department of Physics, University of Auckland; Te Punaha Matatini: the Centre for Complex Systems and Networks.
  • Hendy SC; Department of Physics, University of Auckland; Te Punaha Matatini: the Centre for Complex Systems and Networks.
  • James A; School of Mathematics and Statistics University of Canterbury; Te Punaha Matatini: the Centre for Complex Systems and Networks.
  • Kukutai T; University of Waikato, Hamilton.
  • Lustig A; Manaaki Whenua; Te Punaha Matatini: the Centre for Complex Systems and Networks.
  • McLeod M; Department of Public Health, University of Otago.
  • Plank MJ; School of Mathematics and Statistics University of Canterbury; Te Punaha Matatini: the Centre for Complex Systems and Networks.
  • Ridings K; Department of Physics, University of Auckland; Te Punaha Matatini: the Centre for Complex Systems and Networks.
  • Sporle A; Department of Statistics, University of Auckland; McDonaldSporle Ltd., Auckland.
N Z Med J ; 133(1521): 28-39, 2020 09 04.
Article in English | MEDLINE | ID: covidwho-807838
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT

AIMS:

There is limited evidence as to how clinical outcomes of COVID-19 including fatality rates may vary by ethnicity. We aim to estimate inequities in infection fatality rates (IFR) in New Zealand by ethnicity.

METHODS:

We combine existing demographic and health data for ethnic groups in New Zealand with international data on COVID-19 IFR for different age groups. We adjust age-specific IFRs for differences in unmet healthcare need, and comorbidities by ethnicity. We also adjust for life expectancy reflecting evidence that COVID-19 amplifies the existing mortality risk of different groups.

RESULTS:

The IFR for Maori is estimated to be 50% higher than that of non-Maori, and could be even higher depending on the relative contributions of age and underlying health conditions to mortality risk.

CONCLUSIONS:

There are likely to be significant inequities in the health burden from COVID-19 in New Zealand by ethnicity. These will be exacerbated by racism within the healthcare system and other inequities not reflected in official data. Highest risk communities include those with elderly populations, and Maori and Pacific communities. These factors should be included in future disease incidence and impact modelling.
Subject(s)
Search on Google
Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Ethnicity / Life Expectancy / Coronavirus Infections / Native Hawaiian or Other Pacific Islander / Health Status Disparities / Betacoronavirus Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Oceania Language: English Journal: N Z Med J Year: 2020 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS

Search on Google
Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Ethnicity / Life Expectancy / Coronavirus Infections / Native Hawaiian or Other Pacific Islander / Health Status Disparities / Betacoronavirus Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: Oceania Language: English Journal: N Z Med J Year: 2020 Document Type: Article