Evidence map›Paper›PMID 42305751›Full record

ArticleFrontiers in public health2026

Timely or detailed? The impact of information disclosure on citizen co-production.

Chunxin Zhang, Diyi Liu, Binbin Peng

Abstract read
In one paragraph

Article in Frontiers in public health, 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

3 authors.

Chunxin ZhangTianjin University, Tianjin, China.
Diyi LiuNankai University, Tianjin, China.
Binbin PengTianjin University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During public health crisis, effective information disclosure is crucial for the government to guide citizens' participation in social recovery. In this paper, we focus on the influence of the timeliness and detail of information disclosure on citizens' co-production behavior. We divide citizens' co-production behavior into online information concern behavior and offline pandemic compliance with preventive behavior. Adopting a mixed-methods design combining regression analysis and behavioral experiments, this study quantitatively analyzed more than 5,800 pieces of data from 293 prefecture-level cities and 158 citizens' experimental data. The results indicate that timely and detailed information disclosure is associated with significant effects on citizens' co-production behavior. However, due to constraints on government human resources and time, it is recommended to adopt a general content and timely disclosure policy for information concerning behavior. A detailed content but non-timely disclosure policy is recommended for citizen compliance with preventive behavior. Findings have important implications for governmental public health crisis management.

Indexed as

Community ParticipationDisclosurePublic HealthHumansJapanTime Factorsco-productiondetailinformation disclosurepublic health crisistimeliness

Identifiers

PMID42305751
PMCPMC13267687

What OpenQuestion holds

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Registered trials

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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.