ArticleHeliyon2023
Animal bites management in Northern Iran: Challenges and solutions.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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.
- Trends and Burden of Human Rabies in Iran 2012-2021: A Cross-Sectional Study.Health science reports · 2026Article
- A socio-ecological approach to the determinants of animal health management: A scoping review.PloS one · 2026Article
Corrections and comments
- Reinstatement · 2025-03-12Error by Journal/Publisher ·
- Retracted
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Animal bite is considered a serious social, economic, and health risk for societies with poor animal bites and population management. The objective of this study was to propose a model for animal bites management in Golestan Province. Methods: The present study is a multi-method study conducted quantitatively and qualitatively. First, as a cross-sectional study, the animal bites in Golestan Province and the country were calculated and their trend was predicted. Secondly, in the qualitative study (content analysis), the challenges, barriers, and methods of animal bite control were extracted through conducting semi-structured interviews and focused group discussion meetings. Finally, the model of animal bite management was developed and it was confirmed by Round Delphi. The data were analyzed via content analysis using MAXQDA18. The participants in this study consisted of university professors, managers, and executive officers involved in animal bite and rabies control plans. Results: This study revealed that the animal bite in Golestan Province had an upward trend, as in the country, and dogs were the main cause of bites (90%). The obstacles and challenges of current animal bites control program in eight areas were expressed by the participants. Also, the animal bite management model, which was obtained from the data of different stages of this study, included nine fields and 41 sub-fields. The fields of the animal bite management model included: providing a cultural package, resolving barriers to animal population control plans, wide coverage of dog vaccination, passing and enacting preventive laws, attracting financial support, constructing standard equipment, providing proper medical services, enhancing inter-departmental coordination, and controlling rabies in the wild. This model was confirmed in a Delphi round. Conclusion: Our study indicated that Golestan Province with an average bite higher than twice the country's average is one of the leading provinces in this regard. Thus, revising the animal bite and animal population control plans in this province is necessary. The model designed in this study can be used as a practical guide by policy makers and officials to manage animal bite and related consequences in this province.
Indexed as
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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.