Dataset Information

General Public Acceptance of Forest Risk Management Strategies in Sweden: Comparing Three Approaches to Acceptability.

ABSTRACT: Global change calls for more active approaches to forest risk management. To avoid unforeseen backlashes, it is necessary to examine the general public's acceptance of the risk management strategies. By drawing on different theoretical approaches (threat and prevention, performance evaluations, and forest cognitions), the present study examines predictors of acceptability in the general public in three counties in Sweden (N = 1,026). As expected, appraisals of threat mediated the effect of threat awareness on belief in risk prevention, and when examining performance evaluations, trust in responsible actors influenced acceptability via procedural satisfaction. However, the threat and prevention approach and the performance evaluation approach only explained low levels of the variance in acceptability of the examined strategies. Nevertheless, stronger ecological forest values, and favoring broadleaved forests, were found to be important to the acceptability of proactively implementing a more diverse forest to meet the expected challenges associated with global climate change.

SUBMITTER: Eriksson L

PROVIDER: S-EPMC5758928 | biostudies-other | 2018 Feb

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

General Public Acceptance of Forest Risk Management Strategies in Sweden: Comparing Three Approaches to Acceptability.

Eriksson Louise L Björkman Christer C Klapwijk Maartje J MJ

Environment and behavior 20170210 2

Global change calls for more active approaches to forest risk management. To avoid unforeseen backlashes, it is necessary to examine the general public's acceptance of the risk management strategies. By drawing on different theoretical approaches (threat and prevention, performance evaluations, and forest cognitions), the present study examines predictors of acceptability in the general public in three counties in Sweden (<i>N</i> = 1,026). As expected, appraisals of threat mediated the effect o ...[more]

PMID: 29386686

Similar Datasets

Project description:BackgroundThere are increasing examples of linking data on healthcare resource use and patient outcomes from different sectors of health and social care systems. Linked data are generally anonymised, meaning in most jurisdictions there are no legal restrictions to their use in research conducted by public or private organisations. Secondary use of anonymised linked data is contentious in some jurisdictions but other jurisdictions are known for their use of linked data. The publics' perceptions of the acceptability of using linked data is likely to depend on a number of factors. This study aimed to quantify the preferences of the public to understand the factors that affected views about types of linked data and its use in two jurisdictions.MethodAn online discrete choice experiment (DCE) previously conducted in Scotland was adapted and replicated in Sweden. The DCE was designed, comprising five attributes, to elicit the preferences from a representative sample of the public in both jurisdictions. The five attributes (number of levels) were: type of researcher using linked data (four); type of data being linked (four); purpose of the research (three); use of profit from using linked data (four); who oversees the research (four). Each DCE contained 6 choice-sets asking respondents to select their preferred option from two scenarios or state neither were acceptable. Background questions included socio-demographics. DCE data were analysed using conditional and heteroskedastic conditional logit models to create forecasts of acceptability.ResultsThe study sample comprised members of the public living in Scotland (n = 1004) and Sweden (n = 974). All five attributes were important in driving respondents' choices. Swedish and Scottish preferences were mostly homogenous with the exception of 'who oversees the research using linked data', which had relatively less impact on the choices observed from Scotland. For a defined 'typical' linked data scenario, the probability (on average) of acceptance was 85.7% in Sweden and 82.4% in Scotland.ConclusionThis study suggests that the public living in Scotland and Sweden are open to using anonymised linked data in certain scenarios for research purposes but some caution is advisable if the anonymised linked data joins health to non-health data.

Project description:BackgroundUnprecedented public health measures have been used during this coronavirus 2019 (COVID-19) pandemic to control the spread of SARS-CoV-2 virus. It is a challenge to implement timely and appropriate public health interventions.Methods and findingsPopulation and COVID-19 epidemiological data between 21st January 2020 to 15th November 2020 from 216 countries and territories were included with the implemented public health interventions. We used deep reinforcement learning, and the algorithm was trained to enable agents to try to find optimal public health strategies that maximized total reward on controlling the spread of COVID-19. The results suggested by the algorithm were analyzed against the actual timing and intensity of lockdown and travel restrictions. Early implementations of the actual lockdown and travel restriction policies, usually at the time of local index case were associated with less burden of COVID-19. In contrast, our agent suggested to initiate at least minimal intensity of lockdown or travel restriction even before or on the day of the index case in each country and territory. In addition, the agent mostly recommended a combination of lockdown and travel restrictions and higher intensity policies than the policies implemented by governments, but did not always encourage rapid full lockdown and full border closures. The limitation of this study was that it was done with incomplete data due to the emerging COVID-19 epidemic, inconsistent testing and reporting. In addition, our research focuses only on population health benefits by controlling the spread of COVID-19 without balancing the negative impacts of economic and social consequences.InterpretationCompared to actual government implementation, our algorithm mostly recommended earlier intensity of lockdown and travel restrictions. Reinforcement learning may be used as a decision support tool for implementation of public health interventions during COVID-19 and future pandemics.

Project description:Abstract Objectives Monitoring population salt intake is a critical component of implementing salt fortification programs. In Cambodia, salt is being considered as a vehicle for thiamine fortification to prevent infantile beriberi among breastfed infants. However, salt intake among lactating mothers is not known. The gold standard for assessing sodium intake is repeat 24-hr urinary sodium concentrations. This method has logistical barriers, especially in low-resource settings, and other methods have not been trialed in this population. Here we compare three methods of assessing salt intake in lactating Cambodian women: repeat 24-hr urinary sodium concentrations (USC), repeat 12-hr observed weighed intake records (OWIR), and household salt disappearance (HSD). Methods Data from trial: NCT03616288. Salt intake was assessed using the three methods in a subsample of lactating women (n = 104) between 8 and 22 weeks postpartum. Women were asked to collect two 24-hour urine samples within 7 days. Repeat 12-hr OWIR were collected from women. Household salt disappearance was recorded fortnightly, and was divided by the number of household members to estimate individual intakes. Descriptive household salt use was also recorded. Differences in estimated salt intake from each method were compared using a Kruskal-Wallis test. Results Mean (95%CI) estimated salt intakes from repeat 24-hr USC, repeat 12-hr OWIR, and HSD were: 9.0 (8.3, 9.8) g/day, 9.1 (7.9, 10.3) g/day, and 10.9 (9.8, 11.9) g/day, respectively. Estimated intakes from HSD were significantly higher than both 24-hr USC (p = 0.009) and 12-hr OWIR (p = 0.002). Estimated intakes from 24-hr USC and 12-hr OWIR were not statistically different (p = 0.6). Salt was being used for purposes other than consumption, such as cleaning fish and vegetables, in 26% of fortnightly visits. Conclusions Repeat 24-hr USC and 12-hr OWIR are both acceptable and logistically feasible methods of salt intake assessment among lactating women in rural Cambodia. While HSD is a less resource-intensive approach, this method over-estimated salt intake. Salt being used for purposes other than consumption may contribute to over-estimation using this method. Funding Sources Bill & Melinda Gates Foundation, New York Academy of Sciences, Canadian Institutes of Health Research, Research Nova Scotia.

Dataset Information

General Public Acceptance of Forest Risk Management Strategies in Sweden: Comparing Three Approaches to Acceptability.

Publications

General Public Acceptance of Forest Risk Management Strategies in Sweden: Comparing Three Approaches to Acceptability.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets