ArticleJournal of public health research2026
Integrated model of disaster surveillance information system based on community and school in Indonesia.
Article in Journal of public health research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Effective disaster management requires an integrated approach based on community and school entities, encompassing preparedness, response, and recovery. This study aims to develop an integrated model for community and school-based disaster surveillance information systems. Method: This research was operational research that employs a mixed method, utilizing document study for obtaining quantitative data also Focus Group Discussions for obtaining qualitative data. Those identifying data and information needed to develop integrated disaster surveillance information system model. Results: The findings highlight the critical role of community-based interventions, from pre, during, and post disaster. Strategic data surveillance consists of disaster risk factors, preparedness, mitigation, early warning system, emergency, rapid health assessment, also community-based rehabilitation, and reconstruction. School identifications, infrastructures, contingency plan, risk map, and disaster preparedness team are also obtained in this disaster surveillance information system model. Information consists of disaster risk indicators, such as hazard, vulnerability, capacity, risk, high risk area, and trend of disaster risk factors are also acquired in each area as well as educational institution. Conclusion: The study demonstrates that integrated and participatory approaches to disaster management strengthen disaster contingency plan. Policymakers and practitioners are urged to prioritize routine disaster surveillance data collection to contribute to policymaking.
Indexed as
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.