COVID-19;
equity;
later-life;
migration;
social capital;
transnationalism;
HEALTH;
ADULTS;
IMPACT;
D O I:
10.1111/apv.12364
中图分类号:
K9 [地理];
学科分类号:
0705 ;
摘要:
Later-life migrants, as older people living away from their home nations, occupy multiply-precarious positions in relation to national COVID-19 pandemic responses. Concern has particularly centred on this group's increased risk of social and linguistic exclusion. We explore the perspectives of later-life older Chinese and Koreans living in New Zealand during the nation's COVID-19 lockdown of 2020. This paper presents a sub-analysis of culturally-matched interviews conducted with 3 Korean and 5 Chinese later-life migrants. These participants are a sub-sample of a larger qualitative interview study comprising 44 interviews. A social capital approach has been used to aid conceptualisation of participants' experiences and a reflexive thematic approach guided analysis. Despite their underrepresentation in national response efforts, Chinese and Korean later-life migrants resourcefully participated in ethnically-specific pandemic initiatives. Three themes identified were: (1) taking it seriously (2) already digitally literate (3) challenges and difficulties. Older Asian migrants engaged in a range of creative strategies to stay connected during COVID-19 lockdowns which drew heavily on pre-existing social capital. Future pandemic responses should seek to improve connectedness between the national government COVID-19 response and older Korean and Chinese later-life migrants.
机构:
Population Modelling group, National Institute of Water and Atmospheric Research, Wellington, New ZealandPopulation Modelling group, National Institute of Water and Atmospheric Research, Wellington, New Zealand
Datta, Samik
Vattiato, Giorgia
论文数: 0引用数: 0
h-index: 0
机构:
School of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
Manaaki Whenua, Lincoln, New ZealandPopulation Modelling group, National Institute of Water and Atmospheric Research, Wellington, New Zealand
Vattiato, Giorgia
Maclaren, Oliver J.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Engineering Science, University of Auckland, Auckland, New ZealandPopulation Modelling group, National Institute of Water and Atmospheric Research, Wellington, New Zealand
Maclaren, Oliver J.
Hua, Ning
论文数: 0引用数: 0
h-index: 0
机构:
Precision Driven Health, Auckland, New ZealandPopulation Modelling group, National Institute of Water and Atmospheric Research, Wellington, New Zealand
Hua, Ning
论文数: 引用数:
h-index:
机构:
Sporle, Andrew
Plank, Michael J.
论文数: 0引用数: 0
h-index: 0
机构:
School of Mathematics and Statistics, University of Canterbury, Christchurch, New ZealandPopulation Modelling group, National Institute of Water and Atmospheric Research, Wellington, New Zealand