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8,460 results for “MONITORING”
South Walton County Mosquito Control District entomological monitoring 2015
<p>Mosquito surveillance from the South Walton County Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Hernando County Mosquito Control District entomological monitoring Hurricane Irma
<p>Mosquito surveillance from the Hernando County Mosquito Control District Vector Surveillance program to survey mosquito populations in the immediate aftermath of Hurricane Irma, 2017.</p>
The Effect of Prescription Drug Monitoring Programs (PDMPs) and Overdose Reversal Drug Accessibility Laws on Opioid Analgesic Mortality in the United States
<p><strong>Purpose: </strong>This analysis focuses on the impact of Prescription Drug Monitoring Programs (PDMPs) and increased layperson access to the overdose reversal drug Naloxone on prescription opioid mortality rates. The prescription opioid mortality rate was analyzed against state laws governing PDMPs and Naloxone accessibility to laypersons to evaluate if there was a correlation between mortality reduction and implementation of the laws.</p> <p>Three main analyses were conducted:</p> <ol> <li>Does a state’s opioid mortality reduction correlate to an effective PDMP and/or Naloxone law?</li> <li>Do states with strong PDMP laws have a corresponding opioid overdose mortality rate reduction?</li> <li>Do states with strong Naloxone accessibility laws have a corresponding opioid overdose mortality rate reduction?</li> </ol> <p><strong>Conclusion:</strong> Patterns show that PDMP and Naloxone accessibility can be successful in reducing mortality rates, but implementations and results vary dramatically between states. Further changes to both PDMPs and Naloxone accessibility are needed for states to see reliable and consistent mortality reductions. Changes to regulations need time to implement and take effect, meaning longer term measurements and data will be required to see if positive impacts can be sustained.</p> <ol> </ol> <p><strong>Data and Datasets:</strong></p> <p>There are three main datasets used in the analysis.</p> <ul> <li>Opioid mortality rate by state from 2006 to 2016. <ul> <li>This datasetis from the CDC website (<a href="https://www.cdc.gov/drugoverdose/data/statedeaths.html">https://www.cdc.gov/drugoverdose/data/statedeaths.html</a>). I used web scraping and regular expression search to extract the data and calculated mortality reduction of each state.</li> <li><em>Mortality reduction formula: (Highest mortality rate) – (2016 mortality rate)</em><br> </li> </ul> </li> <li>PDMP law implementation in each state and its timelinefrom January 1, 1998 to July 1, 2016. <ul> <li>Dataset is from the Prescription Drug Abuse Policy System(<a href="http://pdaps.org./datasets/prescription-monitoring-program-laws-1408223332-1502818372">http://pdaps.org./datasets/prescription-monitoring-program-laws-1408223332-1502818372</a>). This dataset encompasses laws regulating which professions have access to the database and for what purpose, whether practitioners can delegate their access, whether patients can see their own information, and the extent to which access to individually-identified records may be granted for law enforcement purposes.</li> <li>This dataset is not quantitative, but a set of questions on the characteristics of the laws governing the PDMP.I performed the following data preparation to allow for analysis and visualization:</li> <li><em>PDMP law effectiveness calculation:Each question with a “Yes” answer adds one point to the law’s cumulative effectiveness score on the year it was implemented.</em></li> </ul> </li> </ul> <ul> <li>Naloxone accessibility to laypersons law implementation in each state and its timeline from January 1, 2001 to December 31, 2016. <ul> <li>Dataset is also from the Prescription Drug Abuse Policy System (<a href="http://pdaps.org./datasets/laws-regulating-administration-of-naloxone-1501695139">http://pdaps.org./datasets/laws-regulating-administration-of-Naloxone-1501695139</a>).This dataset focuses on state laws that provide civil or criminal immunity to licensed healthcare providers or lay responders for opioid antagonist administration.</li> <li>This dataset is not quantitative, but a set of questions on the characteristics of the laws governing Naloxone accessibility to laypersons. I performed the following data preparation to allow for analysis and visualization:</li> <li><em>Naloxone accessibility law effectiveness calculation:Each question with a “Yes” answer adds one point to the law’s cumulative effectiveness score on the year it was implemented.</em></li> </ul> </li> </ul>
Anastasia Mosquito Control District entomological monitoring 2017
<p>Mosquito surveillance using BG-Sentinel traps from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2015
<p>Mosquito surveillance using BG-Sentinel traps from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2016
<p>Mosquito surveillance using BG-Sentinel traps from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2016
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2014
<p>Mosquito surveillance using BG-Sentinel traps from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2015
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2014
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2013
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2011
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2009
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2008
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2012
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2010
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2005
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2004
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2007
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
Anastasia Mosquito Control District entomological monitoring 2006
<p>Mosquito surveillance from the Anastasia Mosquito Control District Vector Surveillance program to survey mosquito populations.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.