need help with this work

profilekach1234
fff.docx

Annotated Bibliography on Influenza

Kopera, E., Zdanowski, K., Uranowska, K., Kosson, P., Sączyńska, V., Florys, K., & Szewczyk, B. (2019). High-titre neutralizing antibodies to H1N1 Influenza Virus after mouse immunization with yeast expressed H1 antigen: A promising Influenza Vaccine Candidate. Journal of Immunology Research, 1–10. https://doi.org/10.1155/2019/2463731

Srivastav, A., Santibanez, T. A., Lu, P.-J., Stringer, M. C., Dever, J. A., Bostwick, M., & Williams, W. W. (2018). Preventive behaviors adults report using to avoid catching or spreading influenza, United States, 2015-16 influenza season. PLoS ONE13(3). https://doi.org/10.1371/journal.pone.0195085

3-Yan, A. W. C., Zaloumis, S. G., Simpson, J. A., & McCaw, J. M. (2019). Sequential infection experiments for quantifying innate and adaptive immunity during influenza infection. PLoS Computational Biology15(1), 1–23. https://doi.org/10.1371/journal.pcbi.1006568

Ohkusa, Y., Sugawara, T., Takahashi, K., & Kamei. M., (2018). Comparative study of preciseness in the regional variation of influenza in Japan among the National Official Sentinel Surveillance of Infectious Diseases and the National Database of Electronic Medical Claims. BioScience Trends12(6), 636–640. https://doi.org/10.5582/bst.2018.01279

In this article, the authors discussed Japan’s national official surveillance for influenza performed at about 5,000 sentinel hospitals/clinics by their National Official Sentinel Surveillance of Infectious Diseases (NOSSID). They compared the regional variation of influenza incidence among prefectures between the NOSSID and NDBEMC and were extracted data from NOSSID and the NDBEMC for the 2010/2011 through 2013/2014 seasons. They also compared the data of both datasets season by season by using Spearman's rank correlation in each season. Spearman's rank correlation values for the four seasons were 0.7823, 0.3907, 0.4961 and 0.4543, and concluded that Japan’s regional variation of influenza incidence in NOSSID is not imprecise, though it correlated with the NDBEMC dataset at a low level.

Yigitbas, B. A., Satici, C., Tanriverdi, E., & Gunduz, C. (2018). Influenza vaccination Frequency and associated factors among elderly population: A descriptive study. Turkish Journal of Geriatrics / Türk Geriatri Dergisi21(4), 490–497. https://doi.org/10.31086/tjgeri.2018.532018