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Showing 1 to 12 of 537 entries
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GapMap: Enabling Comprehensive Autism Resource Epidemiology.

JMIR public health and surveillance

Albert N, Daniels J, Schwartz J, Du M, Wall DP.
PMID: 28473303
JMIR Public Health Surveill. 2017 May 04;3(2):e27. doi: 10.2196/publichealth.7150.

BACKGROUND: For individuals with autism spectrum disorder (ASD), finding resources can be a lengthy and difficult process. The difficulty in obtaining global, fine-grained autism epidemiological data hinders researchers from quickly and efficiently studying large-scale correlations among ASD, environmental factors,...

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Albert N, Daniels J, Schwartz J, et al. GapMap: Enabling Comprehensive Autism Resource Epidemiology. JMIR Public Health Surveill. 2017;3(2):e27doi: 10.2196/publichealth.7150.
Albert, N., Daniels, J., Schwartz, J., Du, M., & Wall, D. P. (2017). GapMap: Enabling Comprehensive Autism Resource Epidemiology. JMIR public health and surveillance, 3(2), e27. https://doi.org/10.2196/publichealth.7150
Albert, Nikhila, et al. "GapMap: Enabling Comprehensive Autism Resource Epidemiology." JMIR public health and surveillance vol. 3,2 (2017): e27. doi: https://doi.org/10.2196/publichealth.7150
Albert N, Daniels J, Schwartz J, Du M, Wall DP. GapMap: Enabling Comprehensive Autism Resource Epidemiology. JMIR Public Health Surveill. 2017 May 04;3(2):e27. doi: 10.2196/publichealth.7150. PMID: 28473303; PMCID: PMC5438459.
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Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe.

JMIR public health and surveillance

Koppeschaar CE, Colizza V, Guerrisi C, Turbelin C, Duggan J, Edmunds WJ, Kjelsø C, Mexia R, Moreno Y, Meloni S, Paolotti D, Perrotta D, van Straten E, Franco AO.
PMID: 28928112
JMIR Public Health Surveill. 2017 Sep 19;3(3):e66. doi: 10.2196/publichealth.7429.

BACKGROUND: The wide availability of the Internet and the growth of digital communication technologies have become an important tool for epidemiological studies and health surveillance. Influenzanet is a participatory surveillance system monitoring the incidence of influenza-like illness (ILI) in...

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Koppeschaar CE, Colizza V, Guerrisi C, et al. Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe. JMIR Public Health Surveill. 2017;3(3):e66doi: 10.2196/publichealth.7429.
Koppeschaar, C. E., Colizza, V., Guerrisi, C., Turbelin, C., Duggan, J., Edmunds, W. J., Kjelsø, C., Mexia, R., Moreno, Y., Meloni, S., Paolotti, D., Perrotta, D., van Straten, E., & Franco, A. O. (2017). Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe. JMIR public health and surveillance, 3(3), e66. https://doi.org/10.2196/publichealth.7429
Koppeschaar, Carl E, et al. "Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe." JMIR public health and surveillance vol. 3,3 (2017): e66. doi: https://doi.org/10.2196/publichealth.7429
Koppeschaar CE, Colizza V, Guerrisi C, Turbelin C, Duggan J, Edmunds WJ, Kjelsø C, Mexia R, Moreno Y, Meloni S, Paolotti D, Perrotta D, van Straten E, Franco AO. Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe. JMIR Public Health Surveill. 2017 Sep 19;3(3):e66. doi: 10.2196/publichealth.7429. PMID: 28928112; PMCID: PMC5627046.
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Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak.

JMIR public health and surveillance

Majumder MS, Santillana M, Mekaru SR, McGinnis DP, Khan K, Brownstein JS.
PMID: 27251981
JMIR Public Health Surveill. 2016 Jun 01;2(1):e30. doi: 10.2196/publichealth.5814.

BACKGROUND: Approximately 40 countries in Central and South America have experienced local vector-born transmission of Zika virus, resulting in nearly 300,000 total reported cases of Zika virus disease to date. Of the cases that have sought care thus far...

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Majumder MS, Santillana M, Mekaru SR, et al. Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak. JMIR Public Health Surveill. 2016;2(1):e30doi: 10.2196/publichealth.5814.
Majumder, M. S., Santillana, M., Mekaru, S. R., McGinnis, D. P., Khan, K., & Brownstein, J. S. (2016). Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak. JMIR public health and surveillance, 2(1), e30. https://doi.org/10.2196/publichealth.5814
Majumder, Maimuna S, et al. "Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak." JMIR public health and surveillance vol. 2,1 (2016): e30. doi: https://doi.org/10.2196/publichealth.5814
Majumder MS, Santillana M, Mekaru SR, McGinnis DP, Khan K, Brownstein JS. Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak. JMIR Public Health Surveill. 2016 Jun 01;2(1):e30. doi: 10.2196/publichealth.5814. PMID: 27251981; PMCID: PMC4909981.
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The Digital Distribution of Public Health News Surrounding the Human Papillomavirus Vaccination: A Longitudinal Infodemiology Study.

JMIR public health and surveillance

Mahoney LM, Tang T, Ji K, Ulrich-Schad J.
PMID: 27227125
JMIR Public Health Surveill. 2015 Mar 18;1(1):e2. doi: 10.2196/publichealth.3310. eCollection 2015.

BACKGROUND: New media changes the dissemination of public health information and misinformation. During a guest appearance on the Today Show, US Representative Michele Bachmann claimed that human papillomavirus (HPV) vaccines could cause "mental retardation".OBJECTIVE: The purpose of this study...

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Mahoney LM, Tang T, Ji K, et al. The Digital Distribution of Public Health News Surrounding the Human Papillomavirus Vaccination: A Longitudinal Infodemiology Study. JMIR Public Health Surveill. 2015;1(1):e2doi: 10.2196/publichealth.3310.
Mahoney, L. M., Tang, T., Ji, K., & Ulrich-Schad, J. (2015). The Digital Distribution of Public Health News Surrounding the Human Papillomavirus Vaccination: A Longitudinal Infodemiology Study. JMIR public health and surveillance, 1(1), e2. https://doi.org/10.2196/publichealth.3310
Mahoney, L Meghan, et al. "The Digital Distribution of Public Health News Surrounding the Human Papillomavirus Vaccination: A Longitudinal Infodemiology Study." JMIR public health and surveillance vol. 1,1 (2015): e2. doi: https://doi.org/10.2196/publichealth.3310
Mahoney LM, Tang T, Ji K, Ulrich-Schad J. The Digital Distribution of Public Health News Surrounding the Human Papillomavirus Vaccination: A Longitudinal Infodemiology Study. JMIR Public Health Surveill. 2015 Mar 18;1(1):e2. doi: 10.2196/publichealth.3310. eCollection 2015. PMID: 27227125; PMCID: PMC4869234.
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Patient-Reported Outcomes and Total Health Care Expenditure in Prediction of Patient Satisfaction: Results From a National Study.

JMIR public health and surveillance

Hung M, Zhang W, Chen W, Bounsanga J, Cheng C, Franklin JD, Crum AB, Voss MW, Hon SD.
PMID: 27227131
JMIR Public Health Surveill. 2015 Sep 23;1(2):e13. doi: 10.2196/publichealth.4360. eCollection 2015.

BACKGROUND: Health care quality is often linked to patient satisfaction. Yet, there is a lack of national studies examining the relationship between patient satisfaction, patient-reported outcomes, and medical expenditure.OBJECTIVE: The aim of this study is to examine the contribution...

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Hung M, Zhang W, Chen W, et al. Patient-Reported Outcomes and Total Health Care Expenditure in Prediction of Patient Satisfaction: Results From a National Study. JMIR Public Health Surveill. 2015;1(2):e13doi: 10.2196/publichealth.4360.
Hung, M., Zhang, W., Chen, W., Bounsanga, J., Cheng, C., Franklin, J. D., Crum, A. B., Voss, M. W., & Hon, S. D. (2015). Patient-Reported Outcomes and Total Health Care Expenditure in Prediction of Patient Satisfaction: Results From a National Study. JMIR public health and surveillance, 1(2), e13. https://doi.org/10.2196/publichealth.4360
Hung, Man, et al. "Patient-Reported Outcomes and Total Health Care Expenditure in Prediction of Patient Satisfaction: Results From a National Study." JMIR public health and surveillance vol. 1,2 (2015): e13. doi: https://doi.org/10.2196/publichealth.4360
Hung M, Zhang W, Chen W, Bounsanga J, Cheng C, Franklin JD, Crum AB, Voss MW, Hon SD. Patient-Reported Outcomes and Total Health Care Expenditure in Prediction of Patient Satisfaction: Results From a National Study. JMIR Public Health Surveill. 2015 Sep 23;1(2):e13. doi: 10.2196/publichealth.4360. eCollection 2015. PMID: 27227131; PMCID: PMC4869209.
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Near-Real-Time Surveillance of Illnesses Related to Shellfish Consumption in British Columbia: Analysis of Poison Center Data.

JMIR public health and surveillance

Wan V, McIntyre L, Kent D, Leong D, Henderson SB.
PMID: 29475825
JMIR Public Health Surveill. 2018 Feb 23;4(1):e17. doi: 10.2196/publichealth.8944.

BACKGROUND: Data from poison centers have the potential to be valuable for public health surveillance of long-term trends, short-term aberrations from those trends, and poisonings occurring in near-real-time. This information can enable long-term prevention via programs and policies and...

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Wan V, McIntyre L, Kent D, et al. Near-Real-Time Surveillance of Illnesses Related to Shellfish Consumption in British Columbia: Analysis of Poison Center Data. JMIR Public Health Surveill. 2018;4(1):e17doi: 10.2196/publichealth.8944.
Wan, V., McIntyre, L., Kent, D., Leong, D., & Henderson, S. B. (2018). Near-Real-Time Surveillance of Illnesses Related to Shellfish Consumption in British Columbia: Analysis of Poison Center Data. JMIR public health and surveillance, 4(1), e17. https://doi.org/10.2196/publichealth.8944
Wan, Victoria, et al. "Near-Real-Time Surveillance of Illnesses Related to Shellfish Consumption in British Columbia: Analysis of Poison Center Data." JMIR public health and surveillance vol. 4,1 (2018): e17. doi: https://doi.org/10.2196/publichealth.8944
Wan V, McIntyre L, Kent D, Leong D, Henderson SB. Near-Real-Time Surveillance of Illnesses Related to Shellfish Consumption in British Columbia: Analysis of Poison Center Data. JMIR Public Health Surveill. 2018 Feb 23;4(1):e17. doi: 10.2196/publichealth.8944. PMID: 29475825; PMCID: PMC5845107.
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College Freshmen Students' Perspectives on Weight Gain Prevention in the Digital Age: Web-Based Survey.

JMIR public health and surveillance

Monroe CM, Turner-McGrievy G, Larsen CA, Magradey K, Brandt HM, Wilcox S, Sundstrom B, West DS.
PMID: 29025698
JMIR Public Health Surveill. 2017 Oct 12;3(4):e71. doi: 10.2196/publichealth.7875.

BACKGROUND: College freshmen are highly vulnerable to experiencing weight gain, and this phenomenon is associated with an increased risk of chronic diseases and mortality in older adulthood. Technology offers an attractive and scalable way to deliver behavioral weight gain...

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Monroe CM, Turner-McGrievy G, Larsen CA, et al. College Freshmen Students' Perspectives on Weight Gain Prevention in the Digital Age: Web-Based Survey. JMIR Public Health Surveill. 2017;3(4):e71doi: 10.2196/publichealth.7875.
Monroe, C. M., Turner-McGrievy, G., Larsen, C. A., Magradey, K., Brandt, H. M., Wilcox, S., Sundstrom, B., & West, D. S. (2017). College Freshmen Students' Perspectives on Weight Gain Prevention in the Digital Age: Web-Based Survey. JMIR public health and surveillance, 3(4), e71. https://doi.org/10.2196/publichealth.7875
Monroe, Courtney M, et al. "College Freshmen Students' Perspectives on Weight Gain Prevention in the Digital Age: Web-Based Survey." JMIR public health and surveillance vol. 3,4 (2017): e71. doi: https://doi.org/10.2196/publichealth.7875
Monroe CM, Turner-McGrievy G, Larsen CA, Magradey K, Brandt HM, Wilcox S, Sundstrom B, West DS. College Freshmen Students' Perspectives on Weight Gain Prevention in the Digital Age: Web-Based Survey. JMIR Public Health Surveill. 2017 Oct 12;3(4):e71. doi: 10.2196/publichealth.7875. PMID: 29025698; PMCID: PMC5658646.
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Metadata Correction of: Lessons Learned From Methodological Validation Research in E-Epidemiology.

JMIR public health and surveillance

Kesse-Guyot E, Assmann K, Andreeva V, Castetbon K, Méjean C, Touvier M, Salanave B, Deschamps V, Péneau S, Fezeu L, Julia C, Allès B, Galan P, Hercberg S.
PMID: 27797322
JMIR Public Health Surveill. 2016 Oct 31;2(2):e160. doi: 10.2196/publichealth.6876.

[This corrects the article DOI: 10.2196/publichealth.5880.].

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Kesse-Guyot E, Assmann K, Andreeva V, et al. Metadata Correction of: Lessons Learned From Methodological Validation Research in E-Epidemiology. JMIR Public Health Surveill. 2016;2(2):e160doi: 10.2196/publichealth.6876.
Kesse-Guyot, E., Assmann, K., Andreeva, V., Castetbon, K., Méjean, C., Touvier, M., Salanave, B., Deschamps, V., Péneau, S., Fezeu, L., Julia, C., Allès, B., Galan, P., & Hercberg, S. (2016). Metadata Correction of: Lessons Learned From Methodological Validation Research in E-Epidemiology. JMIR public health and surveillance, 2(2), e160. https://doi.org/10.2196/publichealth.6876
Kesse-Guyot, Emmanuelle, et al. "Metadata Correction of: Lessons Learned From Methodological Validation Research in E-Epidemiology." JMIR public health and surveillance vol. 2,2 (2016): e160. doi: https://doi.org/10.2196/publichealth.6876
Kesse-Guyot E, Assmann K, Andreeva V, Castetbon K, Méjean C, Touvier M, Salanave B, Deschamps V, Péneau S, Fezeu L, Julia C, Allès B, Galan P, Hercberg S. Metadata Correction of: Lessons Learned From Methodological Validation Research in E-Epidemiology. JMIR Public Health Surveill. 2016 Oct 31;2(2):e160. doi: 10.2196/publichealth.6876. PMID: 27797322; PMCID: PMC5087562.
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Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter.

JMIR public health and surveillance

Adrover C, Bodnar T, Huang Z, Telenti A, Salathé M.
PMID: 27227141
JMIR Public Health Surveill. 2015 Jul 27;1(2):e7. doi: 10.2196/publichealth.4488. eCollection 2015.

BACKGROUND: Social media platforms are increasingly seen as a source of data on a wide range of health issues. Twitter is of particular interest for public health surveillance because of its public nature. However, the very public nature of...

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Adrover C, Bodnar T, Huang Z, et al. Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter. JMIR Public Health Surveill. 2015;1(2):e7doi: 10.2196/publichealth.4488.
Adrover, C., Bodnar, T., Huang, Z., Telenti, A., & Salathé, M. (2015). Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter. JMIR public health and surveillance, 1(2), e7. https://doi.org/10.2196/publichealth.4488
Adrover, Cosme, et al. "Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter." JMIR public health and surveillance vol. 1,2 (2015): e7. doi: https://doi.org/10.2196/publichealth.4488
Adrover C, Bodnar T, Huang Z, Telenti A, Salathé M. Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter. JMIR Public Health Surveill. 2015 Jul 27;1(2):e7. doi: 10.2196/publichealth.4488. eCollection 2015. PMID: 27227141; PMCID: PMC4869211.
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The Tobacco Pack Surveillance System: A Protocol for Assessing Health Warning Compliance, Design Features, and Appeals of Tobacco Packs Sold in Low- and Middle-Income Countries.

JMIR public health and surveillance

Smith K, Washington C, Brown J, Vadnais A, Kroart L, Ferguson J, Cohen J.
PMID: 27227142
JMIR Public Health Surveill. 2015 Aug 12;1(2):e8. doi: 10.2196/publichealth.4616. eCollection 2015.

BACKGROUND: Tobacco remains the world's leading preventable cause of death, with the majority of tobacco-caused deaths occurring in low- and middle-income countries. The first global health treaty, the Framework Convention on Tobacco Control (FCTC), outlines a set of policy...

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Smith K, Washington C, Brown J, et al. The Tobacco Pack Surveillance System: A Protocol for Assessing Health Warning Compliance, Design Features, and Appeals of Tobacco Packs Sold in Low- and Middle-Income Countries. JMIR Public Health Surveill. 2015;1(2):e8doi: 10.2196/publichealth.4616.
Smith, K., Washington, C., Brown, J., Vadnais, A., Kroart, L., Ferguson, J., & Cohen, J. (2015). The Tobacco Pack Surveillance System: A Protocol for Assessing Health Warning Compliance, Design Features, and Appeals of Tobacco Packs Sold in Low- and Middle-Income Countries. JMIR public health and surveillance, 1(2), e8. https://doi.org/10.2196/publichealth.4616
Smith, Katherine, et al. "The Tobacco Pack Surveillance System: A Protocol for Assessing Health Warning Compliance, Design Features, and Appeals of Tobacco Packs Sold in Low- and Middle-Income Countries." JMIR public health and surveillance vol. 1,2 (2015): e8. doi: https://doi.org/10.2196/publichealth.4616
Smith K, Washington C, Brown J, Vadnais A, Kroart L, Ferguson J, Cohen J. The Tobacco Pack Surveillance System: A Protocol for Assessing Health Warning Compliance, Design Features, and Appeals of Tobacco Packs Sold in Low- and Middle-Income Countries. JMIR Public Health Surveill. 2015 Aug 12;1(2):e8. doi: 10.2196/publichealth.4616. eCollection 2015. PMID: 27227142; PMCID: PMC4869212.
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Leveraging Social Media to Promote Public Health Knowledge: Example of Cancer Awareness via Twitter.

JMIR public health and surveillance

Xu S, Markson C, Costello KL, Xing CY, Demissie K, Llanos AA.
PMID: 27227152
JMIR Public Health Surveill. 2016 Apr 28;2(1):e17. doi: 10.2196/publichealth.5205. eCollection 2016.

BACKGROUND: As social media becomes increasingly popular online venues for engaging in communication about public health issues, it is important to understand how users promote knowledge and awareness about specific topics.OBJECTIVE: The aim of this study is to examine...

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Xu S, Markson C, Costello KL, et al. Leveraging Social Media to Promote Public Health Knowledge: Example of Cancer Awareness via Twitter. JMIR Public Health Surveill. 2016;2(1):e17doi: 10.2196/publichealth.5205.
Xu, S., Markson, C., Costello, K. L., Xing, C. Y., Demissie, K., & Llanos, A. A. (2016). Leveraging Social Media to Promote Public Health Knowledge: Example of Cancer Awareness via Twitter. JMIR public health and surveillance, 2(1), e17. https://doi.org/10.2196/publichealth.5205
Xu, Songhua, et al. "Leveraging Social Media to Promote Public Health Knowledge: Example of Cancer Awareness via Twitter." JMIR public health and surveillance vol. 2,1 (2016): e17. doi: https://doi.org/10.2196/publichealth.5205
Xu S, Markson C, Costello KL, Xing CY, Demissie K, Llanos AA. Leveraging Social Media to Promote Public Health Knowledge: Example of Cancer Awareness via Twitter. JMIR Public Health Surveill. 2016 Apr 28;2(1):e17. doi: 10.2196/publichealth.5205. eCollection 2016. PMID: 27227152; PMCID: PMC4869239.
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Why Clinicians Don't Report Adverse Drug Events: Qualitative Study.

JMIR public health and surveillance

Hohl CM, Small SS, Peddie D, Badke K, Bailey C, Balka E.
PMID: 29487041
JMIR Public Health Surveill. 2018 Feb 27;4(1):e21. doi: 10.2196/publichealth.9282.

BACKGROUND: Adverse drug events are unintended and harmful events related to medications. Adverse drug events are important for patient care, quality improvement, drug safety research, and postmarketing surveillance, but they are vastly underreported.OBJECTIVE: Our objectives were to identify barriers...

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Hohl CM, Small SS, Peddie D, et al. Why Clinicians Don't Report Adverse Drug Events: Qualitative Study. JMIR Public Health Surveill. 2018;4(1):e21doi: 10.2196/publichealth.9282.
Hohl, C. M., Small, S. S., Peddie, D., Badke, K., Bailey, C., & Balka, E. (2018). Why Clinicians Don't Report Adverse Drug Events: Qualitative Study. JMIR public health and surveillance, 4(1), e21. https://doi.org/10.2196/publichealth.9282
Hohl, Corinne M, et al. "Why Clinicians Don't Report Adverse Drug Events: Qualitative Study." JMIR public health and surveillance vol. 4,1 (2018): e21. doi: https://doi.org/10.2196/publichealth.9282
Hohl CM, Small SS, Peddie D, Badke K, Bailey C, Balka E. Why Clinicians Don't Report Adverse Drug Events: Qualitative Study. JMIR Public Health Surveill. 2018 Feb 27;4(1):e21. doi: 10.2196/publichealth.9282. PMID: 29487041; PMCID: PMC5849794.
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Showing 1 to 12 of 537 entries