ArticlePLOS global public health2025
Baseline assessment of front-line health system capacity in vector-borne disease surveillance and response in Papua New Guinea.
Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Understanding community and health system acceptability, readiness and perspectives on the introduction of new vector control approaches for malaria control in Papua New Guinea.Malaria journal · 2026Article
- Strategies to support implementation of infectious disease decision support systems: a scoping review.BMC medical informatics and decision making · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
International public health surveillance and timely response cannot exist without strengthened local surveillance and response systems. Supporting front-line healthcare workers to embed the use of innovative electronic health information systems into adaptable and sustainable processes within their contexts is essential for response to ongoing vector-borne diseases (VBDs) and emerging infectious diseases in resource-constrained settings such as Papua New Guinea (PNG). Baseline health service assessments were conducted at eight provinces to inform the implementation of the STRIVE-Tupaia platform. The STRIVE-Tupaia platform is an innovative electronic real-time data aggregation platform in PNG where healthcare workers are able to review, interpret and respond to febrile illness, molecular diagnostic and vector surveillance data to support evidence-based decision making. Baseline health service assessments involved semi-structured interviews and structured observations of facility procedures. Quantitative data were analyzed using Microsoft Excel, while the qualitative data were thematically coded in NVivo12 (QSR International Pty Ltd). A deductive analysis focussed on the health systems barriers and enablers using the WHO's seven component health systems framework. An inductive analysis explored these impacts for vector-borne disease services specifically. Results indicated barriers to VBD reporting, notification and response including limited training, infrastructure challenges, overstretched workforce and limited governance support. Key learnings from STRIVE's baseline health facility assessments have been used to inform the implementation of the STRIVE-Tupaia platform and improve health care workers routine reporting, notification and response to vector-borne diseases in Papua New Guinea.
Identifiers
What OpenQuestion holds
Registered trials
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.