Characteristics Associated with Successful Foodborne Outbreak Investigations, NEARS 2014 - 2016
This study examined relationships between foodborne outbreak investigation characteristics, such as the epidemiological methods used, and the success of the investigation, as determined by whether the investigation identified an outbreak agent (i.e., pathogen), food item, and contributing factor. This study used data from the Centers for Disease Control and Prevention’s (CDC) National Outbreak Reporting System (NORS) and National Environmental Assessment Reporting System (NEARS) to identify outbreak investigation characteristics associated with outbreak investigation success. We identified investigation characteristics that increase the probability of successful outbreak investigations: a robust epidemiology investigation method; a thorough environmental assessment, as measured by number of visits to complete the assessment; and the collection of clinical samples. This research highlights the importance of a comprehensive outbreak investigation, which includes epidemiology, environmental health, and laboratory personnel working together to solve the outbreak.
Querying over HTTP
Splitgraph serves as an HTTP API that lets you run SQL queries directly on
this data to power Web applications. For example:
curl https://data.splitgraph.com/sql/query/ddn \
-H "Content-Type: application/json" \
-d@-<<EOF
{"sql": "
SELECT *
FROM \"cdc-gov/characteristics-associated-with-successful-x66v-w5ka\".\"characteristics_associated_with_successful\"
LIMIT 100
"}
EOF
See the Splitgraph documentation
for more information.