scholarly journals Pharmacometric Analysis of Seasonal Influenza Epidemics and the Effect of Vaccination using Sentinel Surveillance Data

2021 ◽  
Author(s):  
Yuki Otani ◽  
Hidefumi Kasai ◽  
Yusuke Tanigawara
Keyword(s):  
Seasonal Influenza ◽  
Sentinel Surveillance ◽  
Surveillance Data

scholarly journals Timely Prediction of Peak Seasonal Influenza Activity Estimation Using Sentinel Surveillance Data

2012 ◽  
Vol 2 (3) ◽  
pp. 53-57 ◽  
Author(s):  
Núria Torner ◽  
Núria Soldevila ◽  
Ana Martínez ◽  
Tomas Pumarola ◽  
Angela Dominguez
Keyword(s):  
Seasonal Influenza ◽  
Sentinel Surveillance ◽  
Surveillance Data ◽  
Influenza Activity ◽  
Activity Estimation

scholarly journals Effects of School Holidays on Seasonal Influenza in South Korea, 2014–2016

2020 ◽  
Vol 222 (5) ◽  
pp. 832-835 ◽  
Author(s):  
Sukhyun Ryu ◽  
Sheikh Taslim Ali ◽  
Benjamin J Cowling ◽  
Eric H Y Lau
Keyword(s):  
South Korea ◽  
Seasonal Influenza ◽  
School Closure ◽  
Surveillance Data ◽  
Influenza Surveillance ◽  
School Closures ◽  
School Aged Children ◽  
Severe Influenza ◽  
Influenza Transmission

Abstract School closures are considered as a potential nonpharmaceutical intervention to mitigate severe influenza epidemics and pandemics. In this study, we assessed the effects of scheduled school closure on influenza transmission using influenza surveillance data before, during, and after spring breaks in South Korea, 2014–2016. During the spring breaks, influenza transmission was reduced by 27%–39%, while the overall reduction in transmissibility was estimated to be 6%–23%, with greater effects observed among school-aged children.

scholarly journals Estimating nationwide cases of sexually transmitted diseases in 2015 from sentinel surveillance data in Japan

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Miyuki Kawado ◽  
Shuji Hashimoto ◽  
Akiko Ohta ◽  
Mari S. Oba ◽  
Ritei Uehara ◽  
...  
Keyword(s):  
Sexually Transmitted Diseases ◽  
Sentinel Surveillance ◽  
Surveillance Data ◽  
Sexually Transmitted

scholarly journals Estimation of influenza and respiratory syncytial virus hospitalizations using sentinel surveillance data—La Paz, Bolivia. 2012–2017

2019 ◽  
Vol 13 (5) ◽  
pp. 477-483 ◽  
Author(s):  
Dabeyva Chavez ◽  
Vicente Gonzales‐Armayo ◽  
Elvis Mendoza ◽  
Rakhee Palekar ◽  
Rosario Rivera ◽  
...  
Keyword(s):  
Respiratory Syncytial Virus ◽  
Sentinel Surveillance ◽  
Surveillance Data ◽  
La Paz ◽  
Syncytial Virus

scholarly journals Influenza viruses in Thailand: 7 years of sentinel surveillance data, 2004-2010

2011 ◽  
Vol 6 (4) ◽  
pp. 276-283 ◽  
Author(s):  
Malinee Chittaganpitch ◽  
Krongkaew Supawat ◽  
Sonja J. Olsen ◽  
Sunthareeya Waicharoen ◽  
Sirima Patthamadilok ◽  
...  
Keyword(s):  
Sentinel Surveillance ◽  
Influenza Viruses ◽  
Surveillance Data

FluHMM: A simple and flexible Bayesian algorithm for sentinel influenza surveillance and outbreak detection

2018 ◽  
Vol 28 (6) ◽  
pp. 1826-1840 ◽  
Author(s):  
Theodore Lytras ◽  
Kassiani Gkolfinopoulou ◽  
Stefanos Bonovas ◽  
Baltazar Nunes
Keyword(s):  
Public Health ◽  
Public Health Practice ◽  
R Package ◽  
Sentinel Surveillance ◽  
Surveillance Data ◽  
Outbreak Detection ◽  
Influenza Surveillance ◽  
Bayesian Algorithm ◽  
Public Health Action ◽  
Health Action

Timely detection of the seasonal influenza epidemic is important for public health action. We introduce FluHMM, a simple but flexible Bayesian algorithm to detect and monitor the seasonal epidemic on sentinel surveillance data. No comparable historical data are required for its use. FluHMM segments a typical influenza surveillance season into five distinct phases with clear interpretation (pre-epidemic, epidemic growth, epidemic plateau, epidemic decline and post-epidemic) and provides the posterior probability of being at each phase for every week in the period under surveillance, given the available data. An alert can be raised when the probability that the epidemic has started exceeds a given threshold. An accompanying R package facilitates the application of this method in public health practice. We apply FluHMM on 12 seasons of sentinel surveillance data from Greece, and show that it achieves very good sensitivity, timeliness and perfect specificity, thereby demonstrating its usefulness. We further discuss advantages and limitations of the method, providing suggestions on how to apply it and highlighting potential future extensions such as with integrating multiple surveillance data streams.

scholarly journals Association Between Seasonal Influenza and Absolute Humidity: Time-Series Analysis with Daily Surveillance Data in Japan

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Keita Shimmei ◽  
Takahiro Nakamura ◽  
Chris Fook Sheng Ng ◽  
Masahiro Hashizume ◽  
Yoshitaka Murakami ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Seasonal Influenza ◽  
Absolute Humidity ◽  
Surveillance Data ◽  
Series Analysis

scholarly journals Correlation between infectious disease and soil radiation in Japan: an exploratory study using national sentinel surveillance data

2017 ◽  
Vol 145 (6) ◽  
pp. 1183-1192
Author(s):  
S. INAIDA ◽  
T. TSUDA ◽  
S. MATSUNO
Keyword(s):  
Radiation Exposure ◽  
Incidence Rate ◽  
Exploratory Study ◽  
Influenza Infection ◽  
Incidence Rates ◽  
Sentinel Surveillance ◽  
Surveillance Data ◽  
Geographical Information ◽  
Potassium Oxide ◽  
Sentinel Site

SUMMARYWe investigated the relationship between epidemics and soil radiation through an exploratory study using sentinel surveillance data (individuals aged <20 years) during the last three epidemic seasons of influenza and norovirus in Japan. We used a spatial analysis method of a geographical information system (GIS). We mapped the epidemic spreading patterns from sentinel incidence rates. We calculated the average soil radiation [dm(μGy/h)] for each sentinel site using data on uranium, thorium, and potassium oxide in the soil and examined the incidence rate in units of 0·01μGy/h. The correlations between the incidence rate and the average soil radiation were assessed. Epidemic clusters of influenza and norovirus infections were observed in areas with relatively high radiation exposure. A positive correlation was detected between the average incidence rate and radiation dose, atr= 0·61–0·84 (P< 0·01) for influenza infections andr= 0·61–0·72 (P< 0·01) for norovirus infections. An increase in the incidence rate was found between areas with radiation exposure of 0 <dm< 0·01 and 0·15 ⩽dm< 0·16, at 1·80 [95% confidence interval (CI) 1·47–2·12] times higher for influenza infection and 2·07 (95% CI 1·53–2·61) times higher for norovirus infection. Our results suggest a potential association between decreased immunity and irradiation because of soil radiation. Further studies on immunity in these epidemic-prone areas are desirable.

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