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Related Concept Videos

Framing Effects03:26

Framing Effects

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Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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Humans continually engage with an environment rich in potentially harmful chemicals. These are introduced to our bodies through inhalation, ingestion, or skin contact. These chemicals exist in various forms, such as air and environmental pollutants, agricultural chemicals, organic solvents, and heavy metals.
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Bias in Epidemiological Studies01:29

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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Factors Affecting Perception01:25

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
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Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
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Related Experiment Video

Updated: Sep 30, 2025

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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Air Pollution Control and Public Health Risk Perception: Evidence from the Perspectives of Signal and Implementation

Yangyang Fan1, Liangdong Lu2, Jia Xu2

  • 1School of Management, University of Science and Technology of China, Hefei 230026, China.

International Journal of Environmental Research and Public Health
|March 10, 2022
PubMed
Summary

China's "Action Plan on Air Pollution Prevention and Control" (AP2013) significantly reduced public health risk perceptions. This policy showed a short-term signal effect and a long-term implementation effect, demonstrating its impact on public health.

Keywords:
air pollution controlimplementation effectpublic health risk perceptionsignal effect

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Area of Science:

  • Environmental Policy
  • Public Health
  • Behavioral Economics

Background:

  • Government environmental policies aim to improve the natural environment and reduce public health risks.
  • Most studies focus on environmental improvement, neglecting the impact on public health risk perception.

Purpose of the Study:

  • To empirically investigate the effect of the "Action Plan on Air Pollution Prevention and Control" (AP2013) on public health risk perception in China.
  • To analyze the causal relationship between the AP2013 policy and changes in public health risk perception.

Main Methods:

  • Utilized a quasi-natural experiment design.
  • Employed ordinal logistic regression and Difference-in-Differences (DID) analysis.
  • Analyzed tracking data from 17,766 individuals across 112 Chinese cities in 2012 and 2014.

Main Results:

  • The AP2013 policy was found to significantly decrease public health risk perceptions.
  • An inverted U-shaped relationship was established between the policy's causal effect and its implementation duration.
  • Evidence suggests both short-term signaling and long-term implementation effects of the policy.

Conclusions:

  • The AP2013 policy effectively reduces public health risk perception.
  • The policy's impact varies with implementation length, showing initial signaling and sustained effects.
  • Findings offer insights for effective government policy communication and implementation strategies regarding public health.