Denominator Issues for Personally Generated Data in Population Health Monitoring

doi:10.1016/j.amepre.2016.10.038

. 2017 Apr;52(4):549-553.

doi: 10.1016/j.amepre.2016.10.038. Epub 2016 Dec 21.

Denominator Issues for Personally Generated Data in Population Health Monitoring

Rumi Chunara¹, Lauren E Wisk², Elissa R Weitzman³

Affiliations

¹ Department of Computer Science and Engineering, New York University Tandon School of Engineering, Brooklyn, New York; College of Global Public Health, New York University, New York, New York. Electronic address: rumi.chunara@nyu.edu.
² Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
³ Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts; Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.

PMID: 28012811
PMCID: PMC5362284
DOI: 10.1016/j.amepre.2016.10.038

Denominator Issues for Personally Generated Data in Population Health Monitoring

Rumi Chunara et al. Am J Prev Med. 2017 Apr.

. 2017 Apr;52(4):549-553.

doi: 10.1016/j.amepre.2016.10.038. Epub 2016 Dec 21.

Authors

Rumi Chunara¹, Lauren E Wisk², Elissa R Weitzman³

Affiliations

¹ Department of Computer Science and Engineering, New York University Tandon School of Engineering, Brooklyn, New York; College of Global Public Health, New York University, New York, New York. Electronic address: rumi.chunara@nyu.edu.
² Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
³ Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts; Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.

PMID: 28012811
PMCID: PMC5362284
DOI: 10.1016/j.amepre.2016.10.038

No abstract available

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Figures

**Figure 1**
An overview of challenges in assessing the population-at-risk working with both healthcare-based data and personally-generated data.

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References

1. Lavallee DC, Chenok KE, Love RM, et al. Incorporating Patient-Reported Outcomes Into Health Care To Engage Patients And Enhance Care. Health Aff (Millwood) 2016;35(4):575–582. http://dx.doi.org/10.1377/hlthaff.2015.1362. - DOI - PubMed
1. Chunara R, Smolinski MS, Brownstein JS. Why We Need Crowdsourced Data in Infectious Disease Surveillance. Curr Infect Dis Rep. 2013;15(4):316–319. http://dx.doi.org/10.1007/s11908-013-0341-5. - DOI - PMC - PubMed
1. Ayers JW, Althouse BM, Dredze M. Could behavioral medicine lead the web data revolution? JAMA. 2014;311(14):1399–1400. http://dx.doi.org/10.1001/jama.2014.1505. - DOI - PMC - PubMed
1. Collins FS, Varmus H. A new initiative on precision medicine. N Engl J Med. 2015;372(9):793–795. http://dx.doi.org/10.1056/NEJMp1500523. - DOI - PMC - PubMed
1. Chan EH, Sahai V, Conrad C, Brownstein JS. Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance. PLoS Negl Trop Dis. 2011;5(5):e1206. http://dx.doi.org/10.1371/journal.pntd.0001206. - DOI - PMC - PubMed

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[1] Lavallee DC, Chenok KE, Love RM, et al. Incorporating Patient-Reported Outcomes Into Health Care To Engage Patients And Enhance Care. Health Aff (Millwood) 2016;35(4):575–582. http://dx.doi.org/10.1377/hlthaff.2015.1362. - DOI - PubMed

[2] Lavallee DC, Chenok KE, Love RM, et al. Incorporating Patient-Reported Outcomes Into Health Care To Engage Patients And Enhance Care. Health Aff (Millwood) 2016;35(4):575–582. http://dx.doi.org/10.1377/hlthaff.2015.1362. - DOI - PubMed

[3] Chunara R, Smolinski MS, Brownstein JS. Why We Need Crowdsourced Data in Infectious Disease Surveillance. Curr Infect Dis Rep. 2013;15(4):316–319. http://dx.doi.org/10.1007/s11908-013-0341-5. - DOI - PMC - PubMed

[4] Chunara R, Smolinski MS, Brownstein JS. Why We Need Crowdsourced Data in Infectious Disease Surveillance. Curr Infect Dis Rep. 2013;15(4):316–319. http://dx.doi.org/10.1007/s11908-013-0341-5. - DOI - PMC - PubMed

[5] Ayers JW, Althouse BM, Dredze M. Could behavioral medicine lead the web data revolution? JAMA. 2014;311(14):1399–1400. http://dx.doi.org/10.1001/jama.2014.1505. - DOI - PMC - PubMed

[6] Ayers JW, Althouse BM, Dredze M. Could behavioral medicine lead the web data revolution? JAMA. 2014;311(14):1399–1400. http://dx.doi.org/10.1001/jama.2014.1505. - DOI - PMC - PubMed

[7] Collins FS, Varmus H. A new initiative on precision medicine. N Engl J Med. 2015;372(9):793–795. http://dx.doi.org/10.1056/NEJMp1500523. - DOI - PMC - PubMed

[8] Collins FS, Varmus H. A new initiative on precision medicine. N Engl J Med. 2015;372(9):793–795. http://dx.doi.org/10.1056/NEJMp1500523. - DOI - PMC - PubMed

[9] Chan EH, Sahai V, Conrad C, Brownstein JS. Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance. PLoS Negl Trop Dis. 2011;5(5):e1206. http://dx.doi.org/10.1371/journal.pntd.0001206. - DOI - PMC - PubMed

[10] Chan EH, Sahai V, Conrad C, Brownstein JS. Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance. PLoS Negl Trop Dis. 2011;5(5):e1206. http://dx.doi.org/10.1371/journal.pntd.0001206. - DOI - PMC - PubMed

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Denominator Issues for Personally Generated Data in Population Health Monitoring

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Denominator Issues for Personally Generated Data in Population Health Monitoring

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