Evidence map›Paper›PMID 42046765›Full record

ReviewJournal of the Royal Society of New Zealand2026

Pacific-Led Responses to COVID-19: Lessons for Future Pandemic Preparedness.

Amio Matenga-Ikihele, Fale Asafo, Ruby Tuesday, Natalie Netzler, Chris Puliuvea, Teuila Percival

Abstract readReview
In one paragraph

Review in Journal of the Royal Society of New Zealand, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amio Matenga-IkiheleMoana Connect Auckland New Zealand.ORCID https://orcid.org/0000-0003-0017-5137
Fale AsafoMoana Connect Auckland New Zealand.
Ruby TuesdayMoana Connect Auckland New Zealand.
Natalie NetzlerFaculty of Medical and Health Sciences The University of Auckland Auckland New Zealand.ORCID https://orcid.org/0000-0002-2259-3447
Chris PuliuveaBiomedicine and Medical Diagnostics School of Science Auckland University of Technology Auckland New Zealand.
Teuila PercivalMoana Connect Auckland New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic exposed deep inequities in health systems globally and in Aotearoa New Zealand, with Pacific communities experiencing a disproportionate burden of illness, economic hardship, and social disruption. Despite these challenges, Pacific communities demonstrated resilience, culturally grounded leadership, and the ability to meet community needs through collective action. This qualitative review of peer-reviewed literature, government reports, and community-led research identified five interconnected themes: (1) community partnerships; (2) Pacific-centred approaches; (3) clear and trusted communication; (4) digital inclusion and literacy skills; and (5) economic support and sustainability. From these themes, key enablers were identified, which included community leadership, trusted communication strategies, and agile local systems, alongside barriers such as underinvestment, digital exclusion, reliance on unpaid labour, and limited inclusion of Pacific leadership in early planning. The findings highlight that Pacific-led systems are not supplementary but an essential public health infrastructure. Embedding these approaches within national emergency planning, through sustainable funding, formal governance roles, and strengthened digital inclusion, offers a pathway to a more equitable, trusted, and resilient pandemic response.

Indexed as

COVID‐19Pacific peoplespandemicpreparedness

Identifiers

PMID42046765
PMCPMC13110454

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.