Dataset Information

Student-Designed Cross-Sectional Pandemic Knowledge Survey of 8th-12th Grade Students, Milwaukee, WI, April 2020.

ABSTRACT: Background: The novel coronavirus and its effect on our society are unprecedented. Given the recent pandemic, numerous measures have been taken to protect our communities. We sought to understand our school community's knowledge and the measures that were taken by our school for our safety. Objective: Our objective was to describe the overall understanding and attitudes of 8-12th grade students from a single institution during the initial phase of the Wisconsin's Governor's stay-at-home order. Methods: A voluntary web-based survey was communicated to 8-12th grade students through their online school portal. Data were collected and analyzed using SurveyMonkey. Results: There was a 20.2% response rate. Answers regarding the coronavirus, spread, and response to the coronavirus pandemic showed a high level of understanding of the virus and the actions necessary to prevent its spread. Conclusion: Eight-twelfth grade students have a high level of understanding of the virus, its effects, and the safety measures implemented to protect society.

SUBMITTER: Vasudev K

PROVIDER: S-EPMC8225947 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Student-Designed Cross-Sectional Pandemic Knowledge Survey of 8th-12th Grade Students, Milwaukee, WI, April 2020.

Vasudev Krish K Singh Hersh H Neumann August A AA Zhao William M WM Mondano Lyle Dominic Pelayo LDP

Frontiers in pediatrics 20210611

<b>Background:</b> The novel coronavirus and its effect on our society are unprecedented. Given the recent pandemic, numerous measures have been taken to protect our communities. We sought to understand our school community's knowledge and the measures that were taken by our school for our safety. <b>Objective:</b> Our objective was to describe the overall understanding and attitudes of 8-12th grade students from a single institution during the initial phase of the Wisconsin's Governor's stay-at ...[more]

PMID: 34178880

Similar Datasets

Project description:Watersheds are subjected to diverse anthropogenic inputs, exposing aquatic biota to a wide range of chemicals. Detection of multiple, different chemicals can challenge natural resource managers who often have to determine where to allocate potentially limited resources. Here, we describe a weight-of-evidence framework for retrospectively prioritizing aquatic contaminants. To demonstrate framework utility, we used data from 96-h caged fish studies to prioritize chemicals detected in the Milwaukee Estuary (WI, USA; 2017-2018). Across study years, 77/178 targeted chemicals were detected. Chemicals were assigned prioritization scores based on spatial and temporal detection frequency, environmental distribution, environmental fate, ecotoxicological potential, and effect prediction. Chemicals were sorted into priority bins based on the intersection of prioritization score and data availability. Data-limited chemicals represented those that did not have sufficient data to adequately evaluate ecotoxicological potential or environmental fate. Seven compounds (fluoranthene, benzo[a]pyrene, pyrene, atrazine, metolachlor, phenanthrene, and DEET) were identified as high or medium priority and data sufficient and flagged as candidates for further effects-based monitoring studies. Twenty-one compounds were identified as high or medium priority and data limited and flagged as candidates for further ecotoxicological research. Fifteen chemicals were flagged as the lowest priority in the watershed. One of these chemicals (2-methylnaphthalene) displayed no data limitations and was flagged as a definitively low-priority chemical. The remaining chemicals displayed some data limitations and were considered lower-priority compounds (contingent on further ecotoxicological and environmental fate assessments). The remaining 34 compounds were flagged as low or medium priority. Altogether, this prioritization provided a screening-level (non-definitive) assessment that could be used to focus further resource management and risk assessment activities in the Milwaukee Estuary. Furthermore, by providing detailed methodology and a practical example with real experimental data, we demonstrated that the proposed framework represents a transparent and adaptable approach for prioritizing contaminants in freshwater environments. Integr Environ Assess Manag 2023;19:1276-1296. © 2022 SETAC.

Dataset Information

Student-Designed Cross-Sectional Pandemic Knowledge Survey of 8th-12th Grade Students, Milwaukee, WI, April 2020.

Publications

Student-Designed Cross-Sectional Pandemic Knowledge Survey of 8th-12th Grade Students, Milwaukee, WI, April 2020.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets