Evidence map›Paper›PMID 41132157›Full record

ArticleThe Lancet regional health. Western Pacific2025

Insights from expert elicitation: prioritising pathogens for genome sequencing for Australian public health response.

Tehzeeb Zulfiqar, Angeline Ferdinand, Danielle Cribb, Patiyan Andersson, Alireza Zahedi, Kathryn Glass, Son Nghiem, Susan Trevenar, Nhung Mai, Benjamin P Howden and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Lancet regional health. Western Pacific, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Tehzeeb ZulfiqarDepartment of Applied Epidemiology, National Centre of Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Angeline FerdinandMicrobiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.
Danielle CribbDepartment of Applied Epidemiology, National Centre of Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Patiyan AnderssonMicrobiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.
Alireza ZahediPublic Health Microbiology, Public and Environmental Health Reference Laboratory, Pathology Queensland, Queensland Public Health and Scientific Services, Queensland Health, Brisbane, Australia.
Kathryn GlassCentre of Epidemiology, Policy and Practice, National Centre of Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Son NghiemDepartment of Health Economics Wellbeing and Society, National Centre of Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Susan TrevenarDepartment of Applied Epidemiology, National Centre of Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Nhung MaiDepartment of Health Economics Wellbeing and Society, National Centre of Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Benjamin P HowdenMicrobiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.
Martyn D KirkDepartment of Applied Epidemiology, National Centre of Epidemiology and Population Health, The Australian National University, Canberra, Australia.
AusPathoGen Program Partners

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pathogen genomics has transformed infectious disease response, yet prioritisation frameworks for genome sequencing remain underdeveloped. This study establishes evidence-based criteria for prioritising pathogens for genome sequencing to maximise public health impact in Australia. Methods: We conducted a modified Delphi study with experts in public health, infection prevention, and pathogen genomics to examine both prioritisation mechanisms, selection criteria and specific pathogen rankings across surveillance contexts. Initially, 38 experts evaluated 89 statements on a 5-point Likert scale with accompanying feedback. In round two, participants reassessed 48 statements, including 28 that were revised based on first-round input. Quantitative data was analysed using STATA-18 and qualitative data using Atlas.ti. Findings: Consensus was achieved on 53 statements across both rounds across three domains: decision-making processes, prioritisation criteria, and high-priority surveillance scenarios to prioritise specific pathogens for genome sequencing. Experts agreed that a national priority pathogen list for genome sequencing should be developed collaboratively with public health laboratories and complemented by state level lists, with biennial reviews and flexibility for situation-based adjustments. Consensus was achieved on prioritising pathogens associated with antimicrobial resistance, novel and emerging potential, virulence, institutional transmission risk, and disproportionate impact on Aboriginal and Torres Strait Islander communities. For routine surveillance, Interpretation: This study establishes foundational evidence for developing a comprehensive framework for prioritising pathogens for genomic sequencing in Australian public health surveillance and response. Funding: Australian National Health and Medical Research Council, Medical Research Futures Fund (FSPGN00049).

Indexed as

Delphi methodExpert elicitationGenome-surveillanceInfectious diseasePathogensPrioritisationPublic health response

Identifiers

PMID41132157
PMCPMC12541144

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.