Correction: Explaining public understanding of the concepts of climate change, nutrition, poverty and effective medical drugs: An international experimental survey.
Ontology highlight
ABSTRACT: [This corrects the article DOI: 10.1371/journal.pone.0234036.].
Correction: Explaining public understanding of the concepts of climate change, nutrition, poverty and effective medical drugs: An international experimental survey.
PloS one 20200805 8
[This corrects the article DOI: 10.1371/journal.pone.0234036.]. ...[more]
Project description:Climate change, nutrition, poverty and medical drugs are widely discussed and pressing issues in science, policy and society. Despite these issues being of great importance for the quality of our lives it remains unclear how well people understand them. Specifically, do particular demographic and socioeconomic factors explain variation in public understanding of these four concepts? To what extent are people's changes in understanding associated with changes in their behaviour? Do people judge scientific practices relying on the more descriptive concepts of climate change and effective medical drugs to be more objective (less controversial) than practices relying on the more value-laden concepts of poverty and healthy nutrition? To address these questions, an experimental survey and regression analyses are conducted using data collected from about one thousand participants across different continents. The study finds that public understanding of science is generally low. A smaller proportion of people were able to correctly identify the common explanation accepted internationally among the scientific community for climate change and effectiveness of medical drugs (42% and 43% of participants in the study, respectively) than for poverty and healthy nutrition (61% and 65% of participants, respectively). Older age and political non-conservativeness were the strongest predictors of correctly understanding these four concepts. Greater levels of education and political non-conservativeness were in turn the strongest predictors of people's reported changes in their behaviour based on their improved understanding of these concepts. Because climate change is among the least understood scientific concepts but is arguably the greatest challenge of our time, better efforts are needed to improve how media, awareness campaigns and education systems mediate information on the topic in order to tackle the large knowledge deficits that constrain behavioural change.
Project description:Lower-income countries account for a small share of accumulated greenhouse gas emissions but are highly vulnerable to climate-induced events. In response, industrialized higher-income countries, the major contributors to greenhouse gas stock, have pledged policy packages to support developing countries to adapt to climate change. Foreign aid and international migration often figure prominently in such packages. We employ a survey-embedded conjoint experiment to assess public support in Switzerland for international climate assistance packages which consist of six attributes: (1) the country receiving the package (Algeria, Kenya, Bangladesh, and the Philippines); (2) the volume of Swiss bilateral climate aid to this country; (3) the number of climate migrants from this country in Switzerland; (4) types of extreme weather event this country faces; (5) Swiss trade with this country; and (6) the country's record of voting with Switzerland in the United Nations Security Council. We find that while Swiss respondents are indifferent to aid volume, their support for the policy package diminishes as the number of migrants increases. Respondents support policy packages for countries that trade with and vote alongside Switzerland in the Security Council. Respondents also have country-specific preferences: they support assistance to the Philippines, disfavor Algeria, and are indifferent to Kenya and Bangladesh. Ideology, cultural beliefs, and benchmarking with peer countries of Global North or past Swiss aid and immigration records do not change support for the policy package.
Project description:Sea-level rise resulting from climate change is impacting coasts around the planet. There is strong scientific consensus about the amount of sea-level rise to 2050 (0.24-0.32 m) and a range of projections to 2100, which vary depending on the approach used and the mitigation measures taken to reduce carbon emissions. Despite this strong scientific consensus regarding the reality of climate change-related sea-level rise, and the associated need to engage publics in adaptation and mitigation efforts, there is a lack of empirical evidence regarding people's understanding of the issue. Here we investigate public understanding of the amount, rate and causes of sea-level rise. Data from a representative sample of New Zealand adults showed a suprising tendency for the public to overestimate the scientifically plausible amount of sea-level rise by 2100 and to identify melting sea ice as its primary causal mechanism. These findings will be valuable for scientists communicating about sea-level rise, communicators seeking to engage publics on the issue of sea-level rise, and media reporting on sea-level rise.
Project description:BackgroundNetwork concepts are increasingly used in biology and genetics. For example, the clustering coefficient has been used to understand network architecture; the connectivity (also known as degree) has been used to screen for cancer targets; and the topological overlap matrix has been used to define modules and to annotate genes. Dozens of potentially useful network concepts are known from graph theory.ResultsHere we study network concepts in special types of networks, which we refer to as approximately factorizable networks. In these networks, the pairwise connection strength (adjacency) between 2 network nodes can be factored into node specific contributions, named node 'conformity'. The node conformity turns out to be highly related to the connectivity. To provide a formalism for relating network concepts to each other, we define three types of network concepts: fundamental-, conformity-based-, and approximate conformity-based concepts. Fundamental concepts include the standard definitions of connectivity, density, centralization, heterogeneity, clustering coefficient, and topological overlap. The approximate conformity-based analogs of fundamental network concepts have several theoretical advantages. First, they allow one to derive simple relationships between seemingly disparate networks concepts. For example, we derive simple relationships between the clustering coefficient, the heterogeneity, the density, the centralization, and the topological overlap. The second advantage of approximate conformity-based network concepts is that they allow one to show that fundamental network concepts can be approximated by simple functions of the connectivity in module networks.ConclusionUsing protein-protein interaction, gene co-expression, and simulated data, we show that a) many networks comprised of module nodes are approximately factorizable and b) in these types of networks, simple relationships exist between seemingly disparate network concepts. Our results are implemented in freely available R software code, which can be downloaded from the following webpage: http://www.genetics.ucla.edu/labs/horvath/ModuleConformity/ModuleNetworks.
Project description:For more than a decade, the therapeutic focus for Crohn's disease has remained fixed at temporary arrestment of symptomology. The Centers for Disease Control and Prevention (CDC) lists Crohn's disease as a disease entity without current cure. Biologics in combination with antibiotics can frequently achieve remissions. Without ongoing drug administration, these remissions tend to be of limited duration. Conceptual advancements in understanding the pathogenesis of Crohn's disease have identified treatment approaches, the focus of which goes beyond temporary remission. Concepts derived from Infectious Diseases Inc.'s 17?years of research with Mycobacterium avium subspecies paratuberculosis delineate how new knowledge can be integrated to achieve more sustained remissions.
Project description:Increasing acknowledgement of climate change (CC) has encouraged various responses, such as education standard mandates. In 2021, New Jersey (NJ) became the first U.S. state to require K-12 CC education across subjects, effective fall 2022. This necessitated introductory science courses on CC to support high school (HS) curricula. Thus, NJ Safe Schools Program (NJSS) created a new course titled, "Introduction to HS Students to CC, Sustainability, and Environmental Justice (EJ)." Given that the COVID-19 pandemic continues (2020-2023 school years) and vaccination coverage varies, this course was developed and approved in an asynchronous online format. Its five modules cover environmental science, CC, natural disasters and extreme weather events, sustainability, including energy conservation and efficiency definitions, and EJ. A 20-question survey included at the end, modified/adapted from a larger nationwide U.S. Student Conservation Association (SCA) survey 2019-2020, examined the perspectives of HS students concerning CC. Selected volunteer NJ HS enlisted students (n = 82/128 finished) to pilot this course February-April 2022. Results such as average scores ≥90% suggested success regarding initial knowledge and awareness gained; for individual modules, two knowledge checks >80% and three knowledge checks >90%. The SCA survey results, overall and by region in NJ, highlighted how most students felt about CC and extreme weather events, plus issues such as EJ. This NJSS introductory course opened in July 2022 for NJ public county secondary school districts and comprehensive HS with approved career-technical education programs, and potentially elsewhere.
Project description:Front-of-Package labels (FoPLs) are efficient tools for increasing consumers' awareness of foods' nutritional quality and encouraging healthier choices. A label's design is likely to influence its effectiveness; however, few studies have compared the ability of different FoPLs to facilitate a consumer understanding of foods' nutritional quality, especially across sociocultural contexts. This study aimed to assess consumers' ability to understand five FoPLs [Health Star Rating system (HSR), Multiple Traffic Lights (MTL), Nutri-Score, Reference Intakes (RIs), and Warning symbol] in 12 different countries. In 2018, approximately 1000 participants per country were recruited and asked to rank three sets of label-free products (one set of three pizzas, one set of three cakes, and one set of three breakfast cereals) according to their nutritional quality, via an online survey. Participants were subsequently randomised to one of five FoPL conditions and were again asked to rank the same sets of products, this time with a FoPL displayed on pack. Changes in a participants' ability to correctly rank products across the two tasks were assessed by FoPL using ordinal logistic regression. In all 12 countries and for all three food categories, the Nutri-Score performed best, followed by the MTL, HSR, Warning symbol, and RIs.
Project description:With a growing global population, the demand for high-quality food to meet nutritional needs continues to increase. Our ability to meet those needs is challenged by a changing environment that includes constraints on land and water resources and growing concerns about the impact of human activity including agricultural practices on the changing climate. Adaptations that meet food/nutritional demands while avoiding unintended consequences including negatively affecting the environment are needed. This article covers a specific case study, the role of animal source foods (ASFs) in meeting micronutrient needs in a changing environment. The article covers our understanding of the role of ASFs in meeting micronutrient needs, evidence-based approaches to the development of nutrition guidance, the current issues associated with the relation between animal production practices and greenhouse gas emissions, and examples of how we might model the myriad sources of relevant data to better understand these complex interrelations.
Project description:ObjectivesConstructing and validating a theoretical model of relationships between dental services use and socioeconomic characteristics, oral health status, primary care coverage, and public dental services.MethodsThe first stage of the study consisted of developing a theoretical-conceptual model to demonstrate the expected relationships between variables based on the literature. In the second stage, we tested the proposed theoretical model using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, using data from the Brazilian National Health Survey conducted in 2019 with a sample of 41,664 individuals aged 15 or older.ResultsThis study successfully defined a theoretical model that explains the systematic relationships involving public dental services utilization. Socioeconomic status was negatively associated with oral health status (β = -0.376), enrollment in primary care facilities (β = -0.254), and the use of public dental consultations (β = -0.251). Being black, indigenous, or living in a rural area was directly associated with lower socioeconomic status and greater use of public dental services.ConclusionsThe identified relationships, establishing a theoretical basis for further investigations, also provide evidence of a public access policy's effect on oral health services on equity, supporting the construction of more effective and equitable public policies.