نتائج البحث

A comparative study on predicting influenza outbreaks using different feature spaces: application of influenza-like illness data from Early Warning Alert and Response System in Syria.

• Authors : Darwish A; Department of Informatics, Higher Institute for Applied Sciences and Technology, Damascus, Syria. .; Rahhal Y

Subjects: Disease Outbreaks/Disease Outbreaks/Disease Outbreaks/*statistics & numerical data ; Influenza, Human/Influenza, Human/Influenza, Human/*epidemiology; Disease Outbreaks/Disease Outbreaks/Disease Outbreaks/prevention & control

• Source: BMC research notes [BMC Res Notes] 2020 Jan 16; Vol. 13 (1), pp. 33. Date of Electronic Publication: 2020 Jan 16.Publisher: Biomed Central Country of Publication: England NLM ID: 101462768 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-0500

تفاصيل العنوان

A comparative study on predicting influenza outbreaks using different feature spaces: application of influenza-like illness data from Early Warning Alert and Response System in Syria

• Authors : Yasser Rahhal; Assef Jafar; Ali Darwish

Subjects: 0301 basic medicine; Generalized linear model; Time Factors

• Source: BMC Research Notes, Vol 13, Iss 1, Pp 1-8 (2020)BMC Research Notes

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School-based surveillance of acute infectious disease in children: a systematic review.

• Authors : Donaldson, A. L.^1,2,3 (AUTHOR) ; Hardstaff, J. L.^1,2 (AUTHOR); Harris, J. P.^1,2 (AUTHOR)

• Source: BMC Infectious Diseases. 8/3/2021, Vol. 21 Issue 1, p1-10. 10p.

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Influenza‐like illness in Australia: A comparison of general practice surveillance system with electronic medical records.

• Authors : Bernardo, Carla De Oliveira¹ (AUTHOR) ; González‐Chica, David Alejandro^1,2 (AUTHOR); Chilver, Monique¹ (AUTHOR)

• Source: Influenza & Other Respiratory Viruses. Nov2020, Vol. 14 Issue 6, p605-609. 5p.

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Forecasting seasonal influenza-like illness in South Korea after 2 and 30 weeks using Google Trends and influenza data from Argentina.

• Authors : Choi SB; Department of Data-centric Problem Solving Research, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea.; Center for Convergent Research of Emerging Virus Infection, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea.

Subjects: Disease Outbreaks* ; Information Seeking Behavior* ; Internet*

• Source: PloS one [PLoS One] 2020 Jul 16; Vol. 15 (7), pp. e0233855. Date of Electronic Publication: 2020 Jul 16 (Print Publication: 2020).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Influenza A (H1N1)pdm09 outbreak of unknown source in a Ghanaian senior high school.

• Authors : Ameme, Donne Kofi^1,2,3 ; Dadzie, Dora¹; Asiedu-Bekoe, Franklin²

Subjects: *H1N1 influenza; *DISEASE outbreaks; *HEALTH of high school studentsGHANA

• Source: BMC Public Health. 9/18/2020, Vol. 20 Issue 1, p1-8. 8p. 1 Diagram, 2 Charts, 2 Graphs.

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EPIDEMIOLOGY OF SEASONAL INFLUENZA OUTBREAK AMONG IRAQI POPULATION:2018.

• Authors : Aufi, I. M.¹; Fadhil, H. Y.² ; Ali, A. W.³

Subjects: *SEASONAL influenza; *RESPIRATORY infections; *EPIDEMIOLOGYBAGHDAD (Iraq)

• Source: Iraqi Journal of Agricultural Sciences. 2020, Vol. 51 Issue 1, p454-461. 8p.

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Forecasting type-specific seasonal influenza after 26 weeks in the United States using influenza activities in other countries.

• Authors : Choi, Soo Beom^1,2 (AUTHOR); Kim, Juhyeon^1,2 (AUTHOR); Ahn, Insung^1,2 (AUTHOR)

Subjects: *SEASONAL influenza; *INFLUENZA vaccines; *ARTIFICIAL neural networksCHILE; UNITED States

• Source: PLoS ONE. 11/25/2019, Vol. 14 Issue 11, p1-15. 15p.

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Anatomy of a demand shock: Quantitative analysis of crowding in hospital emergency departments in Victoria, Australia during the 2009 influenza pandemic.

• Authors : Sivey P; School of Economics, Finance and Marketing, RMIT University, Melbourne, Victoria, Australia.; McAllister R

Subjects: Crowding*; Disease Outbreaks/Disease Outbreaks/Disease Outbreaks/*statistics & numerical data ; Emergency Service, Hospital/Emergency Service, Hospital/Emergency Service, Hospital/*statistics & numerical data

• Source: PloS one [PLoS One] 2019 Sep 24; Vol. 14 (9), pp. e0222851. Date of Electronic Publication: 2019 Sep 24 (Print Publication: 2019).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Comparative evaluation of time series models for predicting influenza outbreaks: application of influenza-like illness data from sentinel sites of healthcare centers in Iran.

• Authors : Tapak L; Department of Biostatistics, School of Public Health, Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.; Hamidi O

Subjects: Health Facilities* ; Models, Statistical*; Disease Outbreaks/Disease Outbreaks/Disease Outbreaks/*statistics & numerical data

• Source: BMC research notes [BMC Res Notes] 2019 Jun 24; Vol. 12 (1), pp. 353. Date of Electronic Publication: 2019 Jun 24.Publisher: Biomed Central Country of Publication: England NLM ID: 101462768 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-0500

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