Dataset Information

Strengthened public awareness of one health to prevent zoonosis spillover to humans.

ABSTRACT: The COVID-19 outbreak has forced the world to rethink the interconnected health of humans and nature, i.e. One Health (OH). However, the current sector-technology-based solutions have a high cost. We propose a human-oriented One Health (HOH) concept to restrain the unsustainable behaviors of natural resource exploitation and consumption, which may trigger original zoonosis spillover from an imbalanced natural ecosystem. HOH can complement a nature-based solution (NBS), where the former refers to the unknown part of nature, while the latter is based on already known natural knowledge. Additionally, a systemic analysis of popular Chinese social media during the pandemic outbreak (January 1-March 31, 2020) revealed that the wide public was influenced by OH thought. In the post-pandemic era, it is time to deepen public awareness of HOH to guide the world onto a more sustainable track and prevent more serious zoonosis spillover in the future.

SUBMITTER: Wu Y

PROVIDER: S-EPMC10065868 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Strengthened public awareness of one health to prevent zoonosis spillover to humans.

Wu Yinglin Y Luo Ling L Wang Yuxing Y Chen Xiaoli X Mo Donghui D Xie Ling L Sun Aizhen A

The Science of the total environment 20230401

The COVID-19 outbreak has forced the world to rethink the interconnected health of humans and nature, i.e. One Health (OH). However, the current sector-technology-based solutions have a high cost. We propose a human-oriented One Health (HOH) concept to restrain the unsustainable behaviors of natural resource exploitation and consumption, which may trigger original zoonosis spillover from an imbalanced natural ecosystem. HOH can complement a nature-based solution (NBS), where the former refers to ...[more]

PMID: 37011681

Similar Datasets

Project description:Monkeypox (MPOX) is a zoonotic viral disease that has re-emerged and spread to non-endemic regions, drawing global attention. Understanding the knowledge, attitudes, and practices (KAP) of vulnerable populations, particularly in conflict-affected areas, is crucial for effective public health responses. This community-based cross-sectional study evaluates the KAP of the general Syrian population regarding MPOX, focusing on areas affected by conflict. The study was conducted between October 25 and November 22, 2024, using a culturally adapted and validated structured online and paper-based questionnaire. A total of 2,035 responses were collected. The sample included predominantly female participants (63.8%), aged 21-30 years (41.9%), mostly married (73.4%), and urban residents (72.4%). Statistical analysis included confidence intervals (95%) and significance levels (p < 0.05). The study revealed that while 80.3% of participants understood causative factors, 81.2% transmission, 89% prevention, and 78.2% symptoms, significant knowledge gaps were identified in vaccination (13.4%) and diagnostic tests (42.7%), with 58.9% of respondents demonstrating poor overall knowledge. Negative attitudes were reported in 65.8% of participants, although urban residents exhibited slightly more positive attitudes. Good practices were observed in 73.6% of respondents, with common behaviors including isolation and frequent handwashing (58.8%). However, practices did not significantly differ across genders or marital status. Higher knowledge scores were associated with males (OR = 1.721, 95% CI= [1.42-2.07]), higher education levels (OR = 1.324, 95% CI= [1.07-1.62]), and higher incomes (OR = 2.550, 95% CI= [1.56-4.15]). The conflict-affected context likely exacerbated knowledge gaps and negative attitudes, underscoring the urgent need for culturally tailored educational campaigns and public health initiatives. These efforts are critical for improving MPOX preparedness in vulnerable populations.

Project description:ObjectivesThis study investigated information security behaviors of professionals working in the public health sector to guide policymakers toward focusing their investments in infrastructure and training on the most vulnerable segments. We sought to answer the following questions: (1) Are certain professional demographics more vulnerable to cybersecurity threats? (2) Do professionals in different institution types (i.e., hospitals vs. primary care clinics) exhibit different cybersecurity behaviors? (3) Can Internet usage behaviors by professionals be indicative of their cybersecurity awareness and the risk they introduce?MethodsA cross-sectional, anonymous, paper-based survey was distributed among professionals working in public health care organizations in Kuwait. Data were collected about each professional's role, experience, work environment, cybersecurity practices, and understanding to calculate a cybersecurity score which indicates their level of compliance to good cybersecurity practices. We also asked about respondents' internet usage and used K-means cluster analysis to segment respondents into three groups based on their internet activities at work. Ordinary least squares regression assessed the association between the collected independent variables in question on the overall cybersecurity behavior.ResultsA total of 453/700 (64%) were responded to the survey. The results indicated that professionals with more work experience demonstrated higher compliance with good cybersecurity practices. Interestingly, nurses demonstrate higher cybersecurity aptitude relative to physicians. Professionals that were less inclined to use the internet for personal use during their work demonstrated higher cybersecurity aptitude.ConclusionOur findings provide some guidance regarding how to target health care professional training to mitigate cybersecurity risks. There is a need for ensuring that physicians receive adequate cybersecurity training, despite the opportunity costs and other issues competing for their attention. Additionally, classifying professionals based on their internet browsing patterns may identify individuals vulnerable to cybersecurity incidents better than more discrete indicators such as age or gender.

Dataset Information

Strengthened public awareness of one health to prevent zoonosis spillover to humans.

Publications

Strengthened public awareness of one health to prevent zoonosis spillover to humans.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets