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Expanding Tools for Investigating Neighborhood Indicators of Drug Use and Violence: Validation of the NIfETy for Virtual Street Observation

CITE Title : Expanding Tools for Investigating Neighborhood Indicators of Drug Use and Violence: Validation of the NIfETy for Virtual Street Observation Personal Author(s) : Nesoff, Elizabeth D.;Milam, Adam J.;Barajas, Clara B.;Furr-Holden, C. Debra M.; Published Date : February 2020;2-2020; Source : Prev Sci. 21(2):203-210 URL : https://stacks.cdc.gov/view/cdc/84709 Nesoff, Elizabeth D. et al. (2020). Expanding Tools for Investigating Neighborhood Indicators of Drug Use and Violence: Validation of the NIfETy for Virtual Street Observation. 21(2). Nesoff, Elizabeth D. et al. "Expanding Tools for Investigating Neighborhood Indicators of Drug Use and Violence: Validation of the NIfETy for Virtual Street Observation" 21, no. 2 (2020) Nesoff, Elizabeth D. et al. "Expanding Tools for Investigating Neighborhood Indicators of Drug Use and Violence: Validation of the NIfETy for Virtual Street Observation" vol. 21, no. 2, 2020 Export RIS Citation Information.

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Nesoff, Elizabeth D. ;

Milam, Adam J.

February 2020 | Prev Sci. 21(2):203-210

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A growing body of evidence suggests that characteristics of the neighborhood environment in urban areas significantly impact risk for drug use behavio...
Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature

CITE Title : Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature Personal Author(s) : Xu, Rong;Wang, QuanQiu; Published Date : Mar 18 2015 Source : BMC Bioinformatics. 2015; 16(Suppl 5):S6. URL : https://stacks.cdc.gov/view/cdc/32362 Xu, Rong and Wang, QuanQiu (2015). Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature. 16 Xu, Rong and Wang, QuanQiu "Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature" 16 (2015) Xu, Rong and Wang, QuanQiu "Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature" vol. 16, 2015 Export RIS Citation Information.

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Xu, Rong ;

Wang, QuanQiu

Mar 18 2015 | BMC Bioinformatics. 2015; 16(Suppl 5):S6.

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BackgroundSystems approaches to studying drug-side-effect (drug-SE) associations are emerging as an active research area for both drug target discover...
Evaluation of Internet-Based Dengue Query Data: Google Dengue Trends

CITE Title : Evaluation of Internet-Based Dengue Query Data: Google Dengue Trends Personal Author(s) : Gluskin, Rebecca Tave;Johansson, Michael A.;Santillana, Mauricio;Brownstein, John S.; Published Date : Feb 27 2014 Source : PLoS Negl Trop Dis. 2014; 8(2). URL : https://stacks.cdc.gov/view/cdc/22046 Gluskin, Rebecca Tave et al. (2014). Evaluation of Internet-Based Dengue Query Data: Google Dengue Trends. 8(2). Gluskin, Rebecca Tave et al. "Evaluation of Internet-Based Dengue Query Data: Google Dengue Trends" 8, no. 2 (2014) Gluskin, Rebecca Tave et al. "Evaluation of Internet-Based Dengue Query Data: Google Dengue Trends" vol. 8, no. 2, 2014 Export RIS Citation Information.

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Gluskin, Rebecca Tave ;

Johansson, Michael A.

Feb 27 2014 | PLoS Negl Trop Dis. 2014; 8(2).

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Dengue is a common and growing problem worldwide, with an estimated 70-140 million cases per year. Traditional, healthcare-based, government-implement...
Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness

CITE Title : Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness Personal Author(s) : Bahk, Gyung Jin;Kim, Yong Soo;Park, Myoung Su; Published Date : Nov 2015 Source : Emerg Infect Dis. 21(11):1906-1912 URL : https://stacks.cdc.gov/view/cdc/35526 Bahk, Gyung Jin et al. (2015). Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness. 21(11). Bahk, Gyung Jin and Kim, Yong Soo and Park, Myoung Su "Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness" 21, no. 11 (2015) Bahk, Gyung Jin et al. "Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness" vol. 21, no. 11, 2015 Export RIS Citation Information.

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Bahk, Gyung Jin ;

Kim, Yong Soo

Nov 2015 | Emerg Infect Dis. 21(11):1906-1912

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As a supplement to or extension of methods used to determine trends in foodborne illness over time, we propose the use of Internet search metrics. We ...
Directing the public to evidence-based online content

CITE Title : Directing the public to evidence-based online content Personal Author(s) : Cooper, Crystale Purvis;Gelb, Cynthia A;Vaughn, Alexandra N;Smuland, Jenny;Hughes, Alexandra G;Hawkins, Nikki A; Published Date : Jul 22 2014 Source : J Am Med Inform Assoc. 22(0):e39-e41. URL : https://stacks.cdc.gov/view/cdc/34831 Cooper, Crystale Purvis et al. (2014). Directing the public to evidence-based online content. 22(0). Cooper, Crystale Purvis et al. "Directing the public to evidence-based online content" 22, no. 0 (2014) Cooper, Crystale Purvis et al. "Directing the public to evidence-based online content" vol. 22, no. 0, 2014 Export RIS Citation Information.

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Cooper, Crystale Purvis ;

Gelb, Cynthia A

Jul 22 2014 | J Am Med Inform Assoc. 22(0):e39-e41.

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To direct online users searching for gynecologic cancer information to accurate content, the Centers for Disease Control and Prevention's (CDC) 'Insid...
Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches

CITE Title : Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches Personal Author(s) : Lu, Fred S.;Hattab, Mohammad W.;Clemente, Cesar Leonardo;Biggerstaff, Matthew;Santillana, Mauricio; Published Date : January 11 2019 Source : Nat Commun. 10 URL : https://stacks.cdc.gov/view/cdc/77367 Lu, Fred S. et al. (2019). Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches. 10 Lu, Fred S. et al. "Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches" 10 (2019) Lu, Fred S. et al. "Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches" vol. 10, 2019 Export RIS Citation Information.

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Lu, Fred S. ;

Hattab, Mohammad W.

January 11 2019 | Nat Commun. 10

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In the presence of health threats, precision public health approaches aim to provide targeted, timely, and population-specific interventions. Accurate...
Cluster anxiety-related adverse events following immunization (AEFI): An assessment of reports detected in social media and those identified using an online search engine

CITE Title : Cluster anxiety-related adverse events following immunization (AEFI): An assessment of reports detected in social media and those identified using an online search engine Personal Author(s) : Suragh, Tiffany A.;Lamprianou, Smaragda;MacDonald, Noni E.;Loharikar, Anagha R.;Balakrishnan, Madhava R.;Benes, Oleg;Hyde, Terri B.;McNeil, Michael M.; Published Date : 9 25 2018;9-25-; Source : Vaccine. 36(40):5949-5954 URL : https://stacks.cdc.gov/view/cdc/79025 Suragh, Tiffany A. et al. (2018). Cluster anxiety-related adverse events following immunization (AEFI): An assessment of reports detected in social media and those identified using an online search engine. 36(40). Suragh, Tiffany A. et al. "Cluster anxiety-related adverse events following immunization (AEFI): An assessment of reports detected in social media and those identified using an online search engine" 36, no. 40 (2018) Suragh, Tiffany A. et al. "Cluster anxiety-related adverse events following immunization (AEFI): An assessment of reports detected in social media and those identified using an online search engine" vol. 36, no. 40, 2018 Export RIS Citation Information.

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Suragh, Tiffany A. ;

Lamprianou, Smaragda

9 25 2018 | Vaccine. 36(40):5949-5954

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Background:Adverse events following immunization (AEFI) arising from anxiety have rarely been reported as a cluster(s) in the setting of a mass vaccin...