ArticleEcoHealth2021
Knowledge, Attitude, and Practice Regarding Zoonotic Risk in Wildlife Trade, Southern China.
Article in EcoHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Trial
- Knowledge, Attitudes and Practises Amongst Nursing Staff in a Tertiary Hospital Regarding Subcutaneous Anticoagulant Administration in Jiaxing City, Southeast China.Nursing open · 2026Article
- Article
- Human-animal contact and zoonotic exposure from wild and domestic animals: A cross-sectional study in wildlife-rich areas of Bolivia, Chile, and Guatemala.One health (Amsterdam, Netherlands) · 2026Article
- Knowledge, attitudes, and practices of patients with multiple myeloma regarding venous thromboembolism: a cross-sectional study.Frontiers in cardiovascular medicine · 2026Article
- Human-animal interfaces and zoonotic disease risks in China: a review of contact behaviors and risk communication.Science in One Health · 2026Review
- Knowledge, attitudes, and practices toward zoonotic disease transmission among wildlife farmers in Vietnam.One health outlook · 2025Article
- Knowledge, attitudes, and practices regarding avian influenza among poultry farmers near migratory bird habitats in Guidong County, China.Frontiers in public health · 2025Article
- Wildlife Consumption, Health, and Zoonotic Disease in China After the Emergence of COVID-19.EcoHealth · 2023Article
- Perceptions of COVID-19 origins and China's wildlife policy reforms.Global ecology and conservation · 2023Article
- COVID-19 impacts, opportunities and challenges for wildlife farms in Binh Duong and Ba Ria Vung Tau, Vietnam.Global ecology and conservation · 2022Article
- A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia.Nature communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
Current wildlife trade practices in China lead to significant interactions between humans and animals and drive the emergence of zoonotic diseases. The at-risk behaviors, knowledge, and attitudes that influence health-related behaviors in relation to animal contact and safety measures in the trade remain poorly understood. A self-administered questionnaire survey was conducted among 947 adult Internet users in three provinces in southern China to assess knowledge, perceived disease risks, at-risk behaviors, and the association of these factors with other demographic factors among the target population. Few of the participants possessed sufficient knowledge of zoonotic diseases. Although most participants were opposed to the use of wild animal resources, many reported keeping wild animals as pets (30.7%) and eating wild animals (30.5%). The majority of participants (76.3%) believed the disease transmission via wildlife trade, but few connected contact with animals to sickness (18.5%) and only slightly more than half sought post-exposure treatment (54.4%). These results reveal low levels of knowledge and perceived risk regarding disease emergence from the animal-human interactions in wildlife trade and uncover the gaps in knowledge and attitudes as key challenges to the development of health behavior change interventions pertaining to wildlife trade.
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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.