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Disease Surveillance on Complex Social Networks.

PLoS computational biology

Herrera JL, Srinivasan R, Brownstein JS, Galvani AP, Meyers LA.
PMID: 27415615
PLoS Comput Biol. 2016 Jul 14;12(7):e1004928. doi: 10.1371/journal.pcbi.1004928. eCollection 2016 Jul.

As infectious disease surveillance systems expand to include digital, crowd-sourced, and social network data, public health agencies are gaining unprecedented access to high-resolution data and have an opportunity to selectively monitor informative individuals. Contact networks, which are the webs...

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Herrera JL, Srinivasan R, Brownstein JS, et al. Disease Surveillance on Complex Social Networks. PLoS Comput Biol. 2016;12(7):e1004928doi: 10.1371/journal.pcbi.1004928.
Herrera, J. L., Srinivasan, R., Brownstein, J. S., Galvani, A. P., & Meyers, L. A. (2016). Disease Surveillance on Complex Social Networks. PLoS computational biology, 12(7), e1004928. https://doi.org/10.1371/journal.pcbi.1004928
Herrera, Jose L, et al. "Disease Surveillance on Complex Social Networks." PLoS computational biology vol. 12,7 (2016): e1004928. doi: https://doi.org/10.1371/journal.pcbi.1004928
Herrera JL, Srinivasan R, Brownstein JS, Galvani AP, Meyers LA. Disease Surveillance on Complex Social Networks. PLoS Comput Biol. 2016 Jul 14;12(7):e1004928. doi: 10.1371/journal.pcbi.1004928. eCollection 2016 Jul. PMID: 27415615; PMCID: PMC4944951.
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SARS could still affect the United Kingdom, health secretary warns.

BMJ (Clinical research ed.)

Eaton L.
PMID: 12727743
BMJ. 2003 May 03;326(7396):948. doi: 10.1136/bmj.326.7396.948/b.

No abstract available.

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Eaton L. SARS could still affect the United Kingdom, health secretary warns. BMJ. 2003;326(7396):948doi: 10.1136/bmj.326.7396.948/b.
Eaton, L. (2003). SARS could still affect the United Kingdom, health secretary warns. BMJ (Clinical research ed.), 326(7396), 948. https://doi.org/10.1136/bmj.326.7396.948/b
Eaton, Lynn. "SARS could still affect the United Kingdom, health secretary warns." BMJ (Clinical research ed.) vol. 326,7396 (2003): 948. doi: https://doi.org/10.1136/bmj.326.7396.948/b
Eaton L. SARS could still affect the United Kingdom, health secretary warns. BMJ. 2003 May 03;326(7396):948. doi: 10.1136/bmj.326.7396.948/b. PMID: 12727743; PMCID: PMC1125874.
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[Mechanisms of epidemic evolution].

Vestnik Rossiiskoi akademii meditsinskikh nauk

Cherkasskiĭ BL.
PMID: 11186284
Vestn Ross Akad Med Nauk. 2000;(11):21-5.

No abstract available.

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Cherkasskiĭ BL. Mekhanizmy évoliutsii épidemicheskogo protsessa. [Mechanisms of epidemic evolution]. Vestn Ross Akad Med Nauk. 2000;(11):21-5
Cherkasskiĭ, B. L. (2000). Mekhanizmy évoliutsii épidemicheskogo protsessa. [Mechanisms of epidemic evolution]. Vestnik Rossiiskoi akademii meditsinskikh nauk, (11), 21-5.
Cherkasskiĭ, B L. "Mekhanizmy évoliutsii épidemicheskogo protsessa." [Mechanisms of epidemic evolution]. Vestnik Rossiiskoi akademii meditsinskikh nauk vol. ,11 (2000): 21-5.
Cherkasskiĭ BL. Mekhanizmy évoliutsii épidemicheskogo protsessa. [Mechanisms of epidemic evolution]. Vestn Ross Akad Med Nauk. 2000;(11):21-5. Russian. PMID: 11186284.
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By the way, doctor. What can you tell me about SARS? How worried should I be?.

Harvard women's health watch

Robb-Nicholson C.
PMID: 12835161
Harv Womens Health Watch. 2003 Jun;10(10):8.

No abstract available.

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Robb-Nicholson C. By the way, doctor. What can you tell me about SARS? How worried should I be?. Harv Womens Health Watch. 2003;10(10):8
Robb-Nicholson, C. (2003). By the way, doctor. What can you tell me about SARS? How worried should I be?. Harvard women's health watch, 10(10), 8.
Robb-Nicholson, Celeste. "By the way, doctor. What can you tell me about SARS? How worried should I be?." Harvard women's health watch vol. 10,10 (2003): 8.
Robb-Nicholson C. By the way, doctor. What can you tell me about SARS? How worried should I be?. Harv Womens Health Watch. 2003 Jun;10(10):8. PMID: 12835161.
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SARS, lay epidemiology, and fear.

Lancet (London, England)

Razum O, Becher H, Kapaun A, Junghanss T.
PMID: 12767754
Lancet. 2003 May 17;361(9370):1739-40. doi: 10.1016/S0140-6736(03)13335-1.

No abstract available.

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Razum O, Becher H, Kapaun A, et al. SARS, lay epidemiology, and fear. Lancet. 2003;361(9370):1739-40doi: 10.1016/S0140-6736(03)13335-1.
Razum, O., Becher, H., Kapaun, A., & Junghanss, T. (2003). SARS, lay epidemiology, and fear. Lancet (London, England), 361(9370), 1739-40. https://doi.org/10.1016/S0140-6736(03)13335-1
Razum, Oliver, et al. "SARS, lay epidemiology, and fear." Lancet (London, England) vol. 361,9370 (2003): 1739-40. doi: https://doi.org/10.1016/S0140-6736(03)13335-1
Razum O, Becher H, Kapaun A, Junghanss T. SARS, lay epidemiology, and fear. Lancet. 2003 May 17;361(9370):1739-40. doi: 10.1016/S0140-6736(03)13335-1. PMID: 12767754; PMCID: PMC7124702.
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[The application of a systematic-dynamic model to study the computer simulation of severe acute respiratory syndrome transmission and the impact of control measures].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi

Zeng ZC, Zhao D, Li Y, Guo Q, Shi P, Li Z, Yin HJ, Li Y.
PMID: 15941496
Zhonghua Liu Xing Bing Xue Za Zhi. 2005 Mar;26(3):159-63.

OBJECTIVE: (1) Building a macroscopical systematic-dynamic model of severe acute respiratory syndrome (SARS) transmission and disease control process. (2) To determine key variables on the control of SARS epidemic through computer simulation methodology, especially to analyze the effect of...

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Zeng ZC, Zhao D, Li Y, et al. [The application of a systematic-dynamic model to study the computer simulation of severe acute respiratory syndrome transmission and the impact of control measures]. Zhonghua Liu Xing Bing Xue Za Zhi. 2005;26(3):159-63
Zeng, Z. C., Zhao, D., Li, Y., Guo, Q., Shi, P., Li, Z., Yin, H. J., & Li, Y. (2005). [The application of a systematic-dynamic model to study the computer simulation of severe acute respiratory syndrome transmission and the impact of control measures]. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi, 26(3), 159-63.
Zeng, Zhe-chun, et al. "[The application of a systematic-dynamic model to study the computer simulation of severe acute respiratory syndrome transmission and the impact of control measures]." Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi vol. 26,3 (2005): 159-63.
Zeng ZC, Zhao D, Li Y, Guo Q, Shi P, Li Z, Yin HJ, Li Y. [The application of a systematic-dynamic model to study the computer simulation of severe acute respiratory syndrome transmission and the impact of control measures]. Zhonghua Liu Xing Bing Xue Za Zhi. 2005 Mar;26(3):159-63. Chinese. PMID: 15941496.
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Emergency department utilization during outbreaks of influenza.

Annals of emergency medicine

[No authors listed]
PMID: 15943005
Ann Emerg Med. 2005 Jun;45(6):686. doi: 10.1016/j.annemergmed.2005.01.013.

No abstract available.

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Emergency department utilization during outbreaks of influenza. Ann Emerg Med. 2005;45(6):686doi: 10.1016/j.annemergmed.2005.01.013.
(2005). Emergency department utilization during outbreaks of influenza. Annals of emergency medicine, 45(6), 686. https://doi.org/10.1016/j.annemergmed.2005.01.013
"Emergency department utilization during outbreaks of influenza." Annals of emergency medicine vol. 45,6 (2005): 686. doi: https://doi.org/10.1016/j.annemergmed.2005.01.013
Emergency department utilization during outbreaks of influenza. Ann Emerg Med. 2005 Jun;45(6):686. doi: 10.1016/j.annemergmed.2005.01.013. PMID: 15943005.
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Public health in India: the challenge of politics.

Indian journal of public health

Das A.
PMID: 23229221
Indian J Public Health. 2012 Jul-Sep;56(3):245; author reply 246. doi: 10.4103/0019-557X.104269.

No abstract available.

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Das A. Public health in India: the challenge of politics. Indian J Public Health. 2012;56(3):245; author reply 246doi: 10.4103/0019-557X.104269.
Das, A. (2012). Public health in India: the challenge of politics. Indian journal of public health, 56(3), 245; author reply 246. https://doi.org/10.4103/0019-557X.104269
Das, Anindya. "Public health in India: the challenge of politics." Indian journal of public health vol. 56,3 (2012): 245; author reply 246. doi: https://doi.org/10.4103/0019-557X.104269
Das A. Public health in India: the challenge of politics. Indian J Public Health. 2012 Jul-Sep;56(3):245; author reply 246. doi: 10.4103/0019-557X.104269. PMID: 23229221.
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Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes.

Preventive medicine

Young SD, Rivers C, Lewis B.
PMID: 24513169
Prev Med. 2014 Jun;63:112-5. doi: 10.1016/j.ypmed.2014.01.024. Epub 2014 Feb 08.

OBJECTIVE: Recent availability of "big data" might be used to study whether and how sexual risk behaviors are communicated on real-time social networking sites and how data might inform HIV prevention and detection. This study seeks to establish methods...

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Young SD, Rivers C, Lewis B. Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes. Prev Med. 2014;63:112-5doi: 10.1016/j.ypmed.2014.01.024.
Young, S. D., Rivers, C., & Lewis, B. (2014). Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes. Preventive medicine, 63112-5. https://doi.org/10.1016/j.ypmed.2014.01.024
Young, Sean D, et al. "Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes." Preventive medicine vol. 63 (2014): 112-5. doi: https://doi.org/10.1016/j.ypmed.2014.01.024
Young SD, Rivers C, Lewis B. Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes. Prev Med. 2014 Jun;63:112-5. doi: 10.1016/j.ypmed.2014.01.024. Epub 2014 Feb 08. PMID: 24513169; PMCID: PMC4031268.
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Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

Journal of medical Internet research

Kagashe I, Yan Z, Suheryani I.
PMID: 28899847
J Med Internet Res. 2017 Sep 12;19(9):e315. doi: 10.2196/jmir.7393.

BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to control disease outbreaks, and therefore, it is of vital importance to be aware of the counts or frequencies of most commonly used drugs and trending...

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Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. J Med Internet Res. 2017;19(9):e315doi: 10.2196/jmir.7393.
Kagashe, I., Yan, Z., & Suheryani, I. (2017). Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. Journal of medical Internet research, 19(9), e315. https://doi.org/10.2196/jmir.7393
Kagashe, Ireneus, et al. "Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data." Journal of medical Internet research vol. 19,9 (2017): e315. doi: https://doi.org/10.2196/jmir.7393
Kagashe I, Yan Z, Suheryani I. Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data. J Med Internet Res. 2017 Sep 12;19(9):e315. doi: 10.2196/jmir.7393. PMID: 28899847; PMCID: PMC5617904.
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Tracking Disease: Digital Epidemiology Offers New Promise in Predicting Outbreaks.

IEEE pulse

Bates M.
PMID: 28129137
IEEE Pulse. 2017 Jan-Feb;8(1):18-22. doi: 10.1109/MPUL.2016.2627238.

On 19 October 2010, ten months after a devastating earthquake hit Haiti, the Haitian Ministry of Public Health and Population (MSPP) was notified of a sudden surge in patients suffering from watery diarrhea and dehydration. Two days later, the...

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Bates M. Tracking Disease: Digital Epidemiology Offers New Promise in Predicting Outbreaks. IEEE Pulse. 2017;8(1):18-22doi: 10.1109/MPUL.2016.2627238.
Bates, M. (2017). Tracking Disease: Digital Epidemiology Offers New Promise in Predicting Outbreaks. IEEE pulse, 8(1), 18-22. https://doi.org/10.1109/MPUL.2016.2627238
Bates, Mary. "Tracking Disease: Digital Epidemiology Offers New Promise in Predicting Outbreaks." IEEE pulse vol. 8,1 (2017): 18-22. doi: https://doi.org/10.1109/MPUL.2016.2627238
Bates M. Tracking Disease: Digital Epidemiology Offers New Promise in Predicting Outbreaks. IEEE Pulse. 2017 Jan-Feb;8(1):18-22. doi: 10.1109/MPUL.2016.2627238. PMID: 28129137.
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Real-time estimation of disease activity in emerging outbreaks using internet search information.

PLoS computational biology

Aiken EL, McGough SF, Majumder MS, Wachtel G, Nguyen AT, Viboud C, Santillana M.
PMID: 32804932
PLoS Comput Biol. 2020 Aug 17;16(8):e1008117. doi: 10.1371/journal.pcbi.1008117. eCollection 2020 Aug.

Understanding the behavior of emerging disease outbreaks in, or ahead of, real-time could help healthcare officials better design interventions to mitigate impacts on affected populations. Most healthcare-based disease surveillance systems, however, have significant inherent reporting delays due to data...

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Aiken EL, McGough SF, Majumder MS, et al. Real-time estimation of disease activity in emerging outbreaks using internet search information. PLoS Comput Biol. 2020;16(8):e1008117doi: 10.1371/journal.pcbi.1008117.
Aiken, E. L., McGough, S. F., Majumder, M. S., Wachtel, G., Nguyen, A. T., Viboud, C., & Santillana, M. (2020). Real-time estimation of disease activity in emerging outbreaks using internet search information. PLoS computational biology, 16(8), e1008117. https://doi.org/10.1371/journal.pcbi.1008117
Aiken, Emily L, et al. "Real-time estimation of disease activity in emerging outbreaks using internet search information." PLoS computational biology vol. 16,8 (2020): e1008117. doi: https://doi.org/10.1371/journal.pcbi.1008117
Aiken EL, McGough SF, Majumder MS, Wachtel G, Nguyen AT, Viboud C, Santillana M. Real-time estimation of disease activity in emerging outbreaks using internet search information. PLoS Comput Biol. 2020 Aug 17;16(8):e1008117. doi: 10.1371/journal.pcbi.1008117. eCollection 2020 Aug. PMID: 32804932; PMCID: PMC7451983.
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Showing 1 to 12 of 48 entries