211 related articles for article (PubMed ID: 25756205)
1. Using an adjusted Serfling regression model to improve the early warning at the arrival of peak timing of influenza in Beijing.
Wang X; Wu S; MacIntyre CR; Zhang H; Shi W; Peng X; Duan W; Yang P; Zhang Y; Wang Q
PLoS One; 2015; 10(3):e0119923. PubMed ID: 25756205
[TBL] [Abstract][Full Text] [Related]
2. Detection of influenza epidemics using hidden Markov and Serfling approaches.
Panahi MH; Parsaeian M; Mansournia MA; Gouya MM; Jafarzadeh Kohneloo A; Hemmati P; Fotouhi A
Transbound Emerg Dis; 2021 Jul; 68(4):2446-2454. PubMed ID: 33152160
[TBL] [Abstract][Full Text] [Related]
3. [Application of the moving epidemic method in the development of epidemic thresholds and tiered warning alert approachs for influenza prevention in Beijing].
Wang Y; Zhang L; Wu SS; Duan W; Sun Y; Zhang M; Zhang XX; Zhang Y; Ma CN; Wang QY; Yang P
Zhonghua Liu Xing Bing Xue Za Zhi; 2020 Feb; 41(2):201-206. PubMed ID: 32164130
[No Abstract] [Full Text] [Related]
4. Flexible Modeling of Epidemics with an Empirical Bayes Framework.
Brooks LC; Farrow DC; Hyun S; Tibshirani RJ; Rosenfeld R
PLoS Comput Biol; 2015 Aug; 11(8):e1004382. PubMed ID: 26317693
[TBL] [Abstract][Full Text] [Related]
5. [Assessment of intensity of seasonal influenza activity in Beijing-Tianjin-Hebei region, 2019-2021].
Huang S; Lin SS; Zhang CH; Geng MJ; Lin F; Guo YQ; Deng Y; Zheng JD; Wang LP
Zhonghua Liu Xing Bing Xue Za Zhi; 2023 Mar; 44(3):438-444. PubMed ID: 36942339
[No Abstract] [Full Text] [Related]
6. Using an innovative method to develop the threshold of seasonal influenza epidemic in China.
Cheng X; Chen T; Yang Y; Yang J; Wang D; Hu G; Shu Y
PLoS One; 2018; 13(8):e0202880. PubMed ID: 30169543
[TBL] [Abstract][Full Text] [Related]
7. Performances of statistical methods for the detection of seasonal influenza epidemics using a consensus-based gold standard.
Souty C; Jreich R; LE Strat Y; Pelat C; Boëlle PY; Guerrisi C; Masse S; Blanchon T; Hanslik T; Turbelin C
Epidemiol Infect; 2018 Jan; 146(2):168-176. PubMed ID: 29208062
[TBL] [Abstract][Full Text] [Related]
8. Using a community based survey of healthcare seeking behavior to estimate the actual magnitude of influenza among adults in Beijing during 2013-2014 season.
Wang X; Wu S; Yang P; Li H; Chu Y; Tang Y; Hua W; Zhang H; Li C; Wang Q
BMC Infect Dis; 2017 Feb; 17(1):120. PubMed ID: 28159000
[TBL] [Abstract][Full Text] [Related]
9. A maximum curvature method for estimating epidemic onset of seasonal influenza in Japan.
Cai J; Zhang B; Xu B; Chan KKY; Chowell G; Tian H; Xu B
BMC Infect Dis; 2019 Feb; 19(1):181. PubMed ID: 30786869
[TBL] [Abstract][Full Text] [Related]
10. [Study on early warning method for influenza epidemic in Gansu province].
Yang X; Liu X; Meng L; Liu D; Yu D; Li H; Jiang Z; Zhang H
Zhonghua Liu Xing Bing Xue Za Zhi; 2016 Mar; 37(3):430-3. PubMed ID: 27005552
[TBL] [Abstract][Full Text] [Related]
11. Bayesian Markov switching models for the early detection of influenza epidemics.
Martínez-Beneito MA; Conesa D; López-Quílez A; López-Maside A
Stat Med; 2008 Sep; 27(22):4455-68. PubMed ID: 18618414
[TBL] [Abstract][Full Text] [Related]
12. Surveillance for influenza--United States, 1997-98, 1998-99, and 1999-00 seasons.
Brammer TL; Murray EL; Fukuda K; Hall HE; Klimov A; Cox NJ
MMWR Surveill Summ; 2002 Oct; 51(7):1-10. PubMed ID: 12418623
[TBL] [Abstract][Full Text] [Related]
13. Impact of weekday social contact patterns on the modeling of influenza transmission, and determination of the influenza latent period.
Towers S; Chowell G
J Theor Biol; 2012 Nov; 312():87-95. PubMed ID: 22871362
[TBL] [Abstract][Full Text] [Related]
14. A warning threshold for monitoring tuberculosis surveillance data: an alternative to hidden Markov model.
Rafei A; Pasha E; Jamshidi Orak R
Trop Med Int Health; 2015 Jul; 20(7):919-29. PubMed ID: 25732431
[TBL] [Abstract][Full Text] [Related]
15. Impact of flu on hospital admissions during 4 flu seasons in Spain, 2000-2004.
Lenglet AD; Hernando V; Rodrigo P; Larrauri A; Donado JD; de Mateo S
BMC Public Health; 2007 Aug; 7():197. PubMed ID: 17686175
[TBL] [Abstract][Full Text] [Related]
16. A Simulation Optimization Approach to Epidemic Forecasting.
Nsoesie EO; Beckman RJ; Shashaani S; Nagaraj KS; Marathe MV
PLoS One; 2013; 8(6):e67164. PubMed ID: 23826222
[TBL] [Abstract][Full Text] [Related]
17. Interruption of Influenza Transmission under Public Health Emergency Response for COVID-19: a Study Based on Real-World Data from Beijing, China.
Sun Y; Wang Q; Wang X; Wu S; Zhang Y; Pan Y; Zhang L; Duan W; Ma C; Yang P; Wei Z
Jpn J Infect Dis; 2022 Sep; 75(5):511-518. PubMed ID: 35650036
[TBL] [Abstract][Full Text] [Related]
18. Influenza surveillance in Europe: establishing epidemic thresholds by the moving epidemic method.
Vega T; Lozano JE; Meerhoff T; Snacken R; Mott J; Ortiz de Lejarazu R; Nunes B
Influenza Other Respir Viruses; 2013 Jul; 7(4):546-58. PubMed ID: 22897919
[TBL] [Abstract][Full Text] [Related]
19. Defining epidemics in computer simulation models: How do definitions influence conclusions?
Orbann C; Sattenspiel L; Miller E; Dimka J
Epidemics; 2017 Jun; 19():24-32. PubMed ID: 28027840
[TBL] [Abstract][Full Text] [Related]
20. Influenza epidemics in Iceland over 9 decades: changes in timing and synchrony with the United States and Europe.
Weinberger DM; Krause TG; Mølbak K; Cliff A; Briem H; Viboud C; Gottfredsson M
Am J Epidemiol; 2012 Oct; 176(7):649-55. PubMed ID: 22962250
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
