Bibliografias temáticas / Flu / Influenza

Literatura científica selecionada sobre o tema "Flu / Influenza"

Autor: Grafiati
Publicado: 26 de julho de 2024

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Artigos de revistas sobre o assunto "Flu / Influenza"

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Valcic, Miroslav, e Sonja Radojicic. "Influenza - flu". Veterinarski glasnik 64, n.º 1-2 (2010): 109–25. http://dx.doi.org/10.2298/vetgl1002109v.

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In epidemiology or in epizootiology, there are some infectious diseases that have potential for significant reduction of the susceptible species population. Over the past few decades, epidemiologists were concentrated on diseases that were 'modern' and made front-page news in tabloids. One should recall diseases like bovine spongiform encephalopathy, SARS and AIDS syndromes. However, we should always be aware of the most dangerous diseases such as our old friend, influenza, or simply, flu. In the past decade, we heard about 'bird' or 'swine' influenza. It is the same disease for different animal species as well as for man. Influenza owes its characteristics to specific virus biology as well as to the epidemiology-epizootiology characteristics of the susceptible species. Antigenic changes that took place thanks to reassortment mechanisms of the viral gene segments cause the onset of the new antigenic combinations of the hemaglutinin and neuraminidase molecules. As a result, new H and/or N antigenic formulas appear for the first time in totally susceptible animal and human populations. That means that in such circumstances, no person in the world is immune to the virus. In that case, such a virus can cause a pandemic with disastrous consequences since influenza is a disease with significant mortality, especially in some segments of the human (as well as animal) population. Birds and swine are virus reservoirs, but these species are at the same time live test tubes in which the virus resides, changes and adapts itself not only to the original species but to other species as well. That means that there is no 'bird' or 'swine' flu. Influenza is an infection of several important animal species as well as man that have potential not only for the reduction of the population size but, in case of the human population, for influencing social and economic life. .
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&NA;. "Influenza (“the flu”)". Nursing 37, n.º 10 (outubro de 2007): 47. http://dx.doi.org/10.1097/01.nurse.0000291990.47055.4c.

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Keilman, Linda J. "Seasonal Influenza (Flu)". Nursing Clinics of North America 54, n.º 2 (junho de 2019): 227–43. http://dx.doi.org/10.1016/j.cnur.2019.02.009.

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Mondal, Pritish, Ankita Sinharoy e Suparna Gope. "The Influence of COVID-19 on Influenza and Respiratory Syncytial Virus Activities". Infectious Disease Reports 14, n.º 1 (14 de fevereiro de 2022): 134–41. http://dx.doi.org/10.3390/idr14010017.

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Background: Respiratory viral diseases have considerably declined since the COVID-19 outbreak, perhaps through influence by nonpharmaceutical interventions. We conducted a cross-sectional study using the CDC database to compare the pre- vs. post-pandemic flu activity (incidence) between the US states. Our secondary objectives were to estimate the association between flu activity and flu vaccination rates and compare the national trends of flu and RSV activities since the pandemic outbreak. Methods: We estimated the difference between pre-pandemic (April 2019–March 2020) and post-pandemic (April 2020–March 2021) flu activity between individual states using the Wilcoxon signed-rank test. The association between flu activity and immunization rates was also measured. Finally, parallel time trend graphs for flu and RSV activities were illustrated with a time series modeler. Results: The median (IQR) pre-pandemic flu activity was 4.10 (1.38), higher than the post-pandemic activity (1.38 (0.71)) (p-value < 0.001). There was no difference between pre-pandemic (45.50% (39.10%)) and post-pandemic (45.0% (19.84%)) flu vaccine acceptance (p-value > 0.05). Flu activity and vaccination rates were not associated (p-value > 0.05). Flu activity has declined since the COVID-19 outbreak, while RSV made a strong comeback in June 2021. Conclusion: Flu activity has significantly diminished throughout the pandemic while a sudden upsurge in RSV is a public health concern indicative of possible resurgence of other viruses. Flu vaccine acceptance neither changed during the pandemic nor influenced the diminished Flu activity.
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Juozapaitis, Mindaugas, e Linas Antoniukas. "Influenza virus". Medicina 43, n.º 12 (8 de dezembro de 2007): 919. http://dx.doi.org/10.3390/medicina43120119.

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Every year, especially during the cold season, many people catch an acute respiratory disease, namely flu. It is easy to catch this disease; therefore, it spreads very rapidly and often becomes an epidemic or a global pandemic. Airway inflammation and other body ailments, which form in a very short period, torment the patient several weeks. After that, the symptoms of the disease usually disappear as quickly as they emerged. The great epidemics of flu have rather unique characteristics; therefore, it is possible to identify descriptions of such epidemics in historic sources. Already in the 4th century BC, Hippocrates himself wrote about one of them. It is known now that flu epidemics emerge rather frequently, but there are no regular intervals between those events. The epidemics can differ in their consequences, but usually they cause an increased mortality of elderly people. The great flu epidemics of the last century took millions of human lives. In 1918–19, during “The Spanish” pandemic of flu, there were around 40–50 millions of deaths all over the world; “Pandemic of Asia” in 1957 took up to one million lives, etc. Influenza virus can cause various disorders of the respiratory system: from mild inflammations of upper airways to acute pneumonia that finally results in the patient’s death. Scientist Richard E. Shope, who investigated swine flu in 1920, had a suspicion that the cause of this disease might be a virus. Already in 1933, scientists from the National Institute for Medical Research in London – Wilson Smith, Sir Christopher Andrewes, and Sir Patrick Laidlaw – for the first time isolated the virus, which caused human flu. Then scientific community started the exhaustive research of influenza virus, and the great interest in this virus and its unique features is still active even today.
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Wang, Dina, Hao Lei, Dayan Wang, Yuelong Shu e Shenglan Xiao. "Association between Temperature and Influenza Activity across Different Regions of China during 2010–2017". Viruses 15, n.º 3 (21 de fevereiro de 2023): 594. http://dx.doi.org/10.3390/v15030594.

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Influenza causes a significant disease burden as an acute respiratory infection. Evidence suggests that meteorological factors can influence the spread of influenza; however, the association between these factors and influenza activity remains controversial. In this study, we investigated the impact of temperature on influenza across different regions of China based on the meteorological data and influenza data from 554 sentinel hospitals in 30 provinces and municipalities in China from 2010 to 2017. A distributed lag nonlinear model (DLNM) was used to analyze the exposure lag response of daily mean temperatures to the risk of influenza-like illness (ILI), influenza A (Flu A), and influenza B (Flu B). We found that in northern China, low temperatures increased the risk of ILI, Flu A, and Flu B, while in central and southern China, both low and high temperatures increased the risk of ILI and Flu A, and only low temperatures increased the risk of Flu B. This study suggests that temperature is closely associated with the influenza activity in China. Temperature should be integrated into the current public health surveillance system for highly accurate influenza warnings and the timely implementation of disease prevention and control measures.
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Lucas, GN. "Avian influenza (Bird flu)". Sri Lanka Journal of Child Health 35, n.º 2 (23 de setembro de 2008): 43. http://dx.doi.org/10.4038/sljch.v35i2.11.

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&NA;. "Influenza vaccine prevents flu". Inpharma Weekly &NA;, n.º 1222 (janeiro de 2000): 10. http://dx.doi.org/10.2165/00128413-200012220-00022.

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&NA;. "Seasonal influenza (the flu)". Nursing 40, n.º 9 (setembro de 2010): 33. http://dx.doi.org/10.1097/01.nurse.0000387238.05776.38.

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Fogel, Benjamin N., e Steven D. Hicks. "“Flu-Floppers”: Factors Influencing Families’ Fickle Flu Vaccination Patterns". Clinical Pediatrics 59, n.º 4-5 (22 de janeiro de 2020): 352–59. http://dx.doi.org/10.1177/0009922819901002.

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While influenza vaccination in the prior year is a strong predictor of subsequent vaccination, many families do not have static vaccination patterns. This study examined factors guiding influenza vaccination decisions among parents whose children sporadically received the influenza vaccination (flu-floppers). We administered surveys to 141 flu-flopper families. Surveys included 21 factors associated with vaccine decision making. A conceptual framework of “passive” and “active” decision making was used to assess parental motivators behind vaccine decisions. The most common reason for vaccinating was a desire to prevent influenza (45%). The most common reason for not vaccinating was a belief that influenza vaccination is not effective (29%). Most parents (88%) reported an active reason in years when their child was vaccinated, while only 43% reported an active reason when their child was not vaccinated ( P < .00001). These findings may guide efforts to increase influenza vaccination rates in children most amenable to vaccination.
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Teses / dissertações sobre o assunto "Flu / Influenza"

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Cheung, Hoi-yan, e 張凱欣. "Effectiveness of school closure during an epidemic flu". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45171324.

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Lin, Yi-pu. "Molecular epidemiology of influenza viruses from Southern China /". [Hong Kong : University of Hong Kong], 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13665686.

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Vu, Chrissy Thuy-Diem. "One Flu East, One Flu West, One Flu Over the Cuckoo's Nest: A Cross-Cultural Investigation of Pandemic Influenza Paradoxes in Epidemiology". Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/71336.

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This comparative case study examining epidemiological practices in Vietnam and the US revealed three pandemic influenza paradoxes: The paradox of attribution which asserts that pandemic influenza comes exclusively from Asia even though historical evidence points to the contrary; the paradox of prevention which encourages industrial methods (i.e., factory farming) for combating influenza even though there is conflicting evidence for any superiority of this method in terms of means of production or disease prevention; and the paradox of action where epidemiologists act in ways not consistent with prevailing epidemiological recommendations.  The existence of these paradoxes may, in fact, impede efforts at stopping and preventing pandemic influenza.  In order to find the root causes of these paradoxes, this study examined indigenous media and historical and contemporary research reports on pandemic influenza.  This archival information was juxtaposed to viewpoints garnered from ethnographic interviews with epidemiologists who have worked in Vietnam, the United States, or in both countries.  This study found that these paradoxes endure because of the dual nature of science " the known and the unknown elements of current knowledge " and assumptions made between the two.  The dual nature of science describes both the information that has been codified and information that has not been codified and the implications between the two. In other words, in between the spaces of known information, there are attempts to fill in the gaps in knowledge, which results in paradoxes. Of particular importance in this gap-filling process are the three "C's" of collaboration, conflict, and competition.  Collaboration is integral to the successful prevention of influenza pandemics; however, it is this same collaboration wherein which epidemiologists are trained to be so highly specialized that they often depend on unvetted external expert information.  Conflict and competition occur from the geopolitical level all they way down to the level of the individual epidemiologist and are influenced by the political and scientific economy along with social and cultural factors.
Ph. D.
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Guan, Yi. "Molecular epidemiology of swine influenza A viruses from southern China /". Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19667280.

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Moskaliuk, V. D., e O. I. Golyar. "Analysis of epidemic influenza morbidity in Chernivtsi region". Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/64648.

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Грип може сприяти формуванню хронічних патологічних процесів не тільки в дихальних шляхах (у тому числі інфекційно-алергічних – бронхіальна астма), але й в інших органах і системах (у серці – міокардит, у нирках – гломерулонефрит, у нервовій системі – неврит, невралгія). Тому рання і ефективна корекція вірусних змін, неспецифічного і специфічного імунного захисту організму є необхідною умовою адекватного, успішного лікування.
Influenza and acute respiratory viral diseases remain relevant health problem both in Ukraine and in the world. Important is control over their distribution among the population, prevention and prediction of epidemics and pandemics. Deaths from flu and its complications ranks first among all infectious diseases. The structure of mortality are among the leaders 65rokiv older patients - 80 - 90%. Much of the prevalence, property damage, social and medical consequences clearly confirm the need to combat them. Due to the extreme variability of the pathogen influenza and currently remains uncontrolled infection that necessitates its further research to solve this problem on a global scale.
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Bacon, Matthew Neil. "An antiviral peptide targeting influenza and parainfluenza". Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/17861.

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Respiratory virus infections, such as those caused by influenza, parainfluenza and respiratory syncytial virus (hRSV), continue to be a major cause of morbidity and mortality in both the developed and developing world. Currently, the main means of control of influenza virus infection is vaccination, which requires advanced knowledge of the strain that will be prevalent each year. Alternative strategies involve the use of anti-viral drugs, which function primarily as a prophylactic. Currently, there are five main drugs available against influenza, the adamantanes (amantadine and rimantidine) and the neuraminidase inhibitors (oseltamivir, zanamivir and peramivir). However, major problems exist with antivirals, notably the development of drug resistance. This means that new drugs are urgently required that also satisfy the need to intervene at specific phases of the infection. This thesis describes the development of a peptide with anti-influenza virus activity (Flupep), from which a library of closely related peptides were synthesised, with the aim of optimising antiviral efficacy. Peptides were tested in vitro using a plaque reduction assay on cultured cell lines, Vero and MDCK for parainfluenza and influenza respectively. Two strains of influenza and two of parainfluenza were used, covering the main subtypes that infect humans: Influenza A, Influenza B, PIV2 and PIV3. The plaque assay involved mixing a fixed dose of virus with dilutions of peptide and infecting the cultured cells, followed by incubation for between 3 and 14 days. The cells were then fixed, stained and plaques counted as a measure of viral infectivity. Previous work had shown that Flupep both interacts with haemagglutinin and is an antagonist of inflammatory cytokines. As a possible explanation for antiviral activity, binding affinity of the peptide to haemagglutinin was measured utilising enzyme linked immunosorbent assays. However, significant binding was not detected, suggesting non-specific binding and anti-inflammatory potential are more important routes for antiviral activity. Peptides which demonstrated greater than 90% plaque knockdown in vitro were evaluated in vivo. Anaesthetised mice were infected with influenza A and administered with the peptide concurrently. Following infection, body weights were measured daily and clinical signs, such as shortness of breath, quality of coat and posture, were monitored as indicators of overall health. Most mice were culled on the seventh day post-infection and lung viral titres were determined using a plaque assay. Two peptides were identified with high efficacy against influenza. These peptides, when used in vivo, improved clinical signs of and dramatically reduced levels of infectious virus in the lungs by 7 days post infection. The peptide with highest efficacy was PEGylated and subsequently shown to possess therapeutic potential. Intranasal administration of the PEG-peptide to anaesthetised mice, on the two days subsequent to infection with influenza A, revealed a 17-fold fall in lung viral titres by the fourth day post-infection. Overall, Flupep demonstrates great potential as a future therapeutic agent for treatment of Influenza and potentially Parainfluenza.
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林一普 e Yi-pu Lin. "Molecular epidemiology of influenza viruses from Southern China". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31233806.

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Gelder, Colin Malcolm. "Human CD4+ T cell recognition of influenza A haemagglutinin". Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339198.

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Poon, Ping-yeung. "A study of the HKSAR government's strategy to manage avian flu outbreaks". Click to view the E-thesis via HKUTO, 2003. http://sunzi.lib.hku.hk/hkuto/record/B31967292.

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Ho, Chi-keung Albert. "A policy analysis of the prevention of human infection of Avian Flu in Hong Kong /". View the Table of Contents & Abstract, 2005. http://sunzi.lib.hku.hk/hkuto/record/B31363301.

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Livros sobre o assunto "Flu / Influenza"

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Massachusetts. Department of Public Health. Flu (influenza). Boston, MA: Massachusetts Dept. of Public Health, 1987.

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author, Wilson Claire, ed. Influenza and bird flu: Examining the flu. Berkeley Heights, NJ: Jasmine Health, an imprint of Enslow Publishers, 2014.

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Sfakianos, Jeffrey N. Avian flu. Philadelphia: Chelsea House Publishers, 2005.

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Sfakianos, Jeffrey N. Avian flu. Editado por Alcamo I. Edward e Heymann David L. New York: Chelsea House Publishers, 2006.

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Berlatsky, Noah. The H1N1 flu. Detroit: Greenhaven Press, 2011.

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Burgan, Michael. Developing flu vaccines. Chicago, Ill: Raintree, 2011.

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Ollhoff, Jim. The flu. Edina, Minn: ABDO Pub. Co., 2010.

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Prakash, Sameer. Swine flu: Diagnosis & treatment. Delhi: Biotech Books, 2009.

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Illinois. Department of Public Health. Flu & pneumonia imminization. Springfield, IL: Illinois Dept. of Public Health, Division of Infectious Diseases, Imminization Program, 1994.

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Illinois. Department of Public Health. Flu & pneumonia imminization. Springfield, IL: Illinois Dept. of Public Health, Division of Infectious Diseases, Imminization Program, 1993.

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Capítulos de livros sobre o assunto "Flu / Influenza"

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Bresalier, Michael. "Coda: Influenza and Covid-19". In Modern Flu, 375–96. London: Palgrave Macmillan UK, 2023. http://dx.doi.org/10.1057/978-1-137-33954-6_10.

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Bresalier, Michael. "Historicising Flu: Viral Identities of Influenza". In Modern Flu, 1–23. London: Palgrave Macmillan UK, 2023. http://dx.doi.org/10.1057/978-1-137-33954-6_1.

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Davis, Ryan A. "Figuring (out) the Epidemic: Don Juan and Spanish Influenza". In The Spanish Flu, 103–35. New York: Palgrave Macmillan US, 2013. http://dx.doi.org/10.1057/9781137339218_5.

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Everett, M. T. "Influenza and the ’Flu-like Illness". In Selective Antibiotic Use in Respiratory Illness: a Family Practice Guide, 189–204. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-015-1143-8_14.

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Smith, Michael C., e David A. Broniatowski. "Modeling Influenza by Modulating Flu Awareness". In Social, Cultural, and Behavioral Modeling, 262–71. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39931-7_25.

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Codera, Maximiliano Fuentes. "Spain and the impact of the 1918 influenza". In The Flu Pandemic of 1918-1919, 15–33. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003317494-2.

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Amonkar, Gayathri Prashant, e Kusum D. Jashnani. "H1N1 Influenza in Pregnancy: Yet Another Dreaded Flu". In Maternal Mortality - Lessons Learnt from Autopsy, 97–100. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3420-9_19.

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Stopfner, Maria. "Chapter 1. Spanish influenza 1918/19". In Manufacturing Dissent, 26–61. Amsterdam: John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/pbns.339.01sto.

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The study focuses on the Spanish influenza pandemic of 1918/19, tracing the crisis coverage of two daily newspapers from two different countries, Austria and the United States, to reveal the general dynamics and manipulative potential of mediatized public discourse in times of crisis. The pragma-rhetoric analysis examines, first, which social actors gain access to the media to voice their opinion and, second, how they attempt to manipulate public perception to avoid blame, for example, by instrumentalizing certain groups as scapegoats. The results of the cross-national comparison of the two historic newspapers reveal patterns in crisis reporting on the Spanish flu that are intriguingly reminiscent of contemporary media coverage of the recent Corona Pandemic.
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Palermo, Laura. "The role of the experts in the time of a pandemic. The case of the 1918 influenza pandemic in Argentina". In The Flu Pandemic of 1918-1919, 147–63. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003317494-9.

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Kröber, T., M. W. Wolff, S. Lehmann, A. Zimmermann e Udo Reichl. "Accounting for the Entire Influenza Hemagglutinin during a Flu Vaccine Production Process". In Proceedings of the 21st Annual Meeting of the European Society for Animal Cell Technology (ESACT), Dublin, Ireland, June 7-10, 2009, 685–89. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0884-6_108.

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Trabalhos de conferências sobre o assunto "Flu / Influenza"

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Jiang, Ping. "Nowcasting Influenza Using Google Flu Trend and Deep Learning Model". In 2020 2nd International Conference on Economic Management and Cultural Industry (ICEMCI2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.201128.079.

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Dutta, Rajib. "Health Care Data Warehouse System Architecture for Influenza (Flu) Diseases". In National Conference on Advancement of Computing in Engineering Research. Academy & Industry Research Collaboration Center (AIRCC), 2013. http://dx.doi.org/10.5121/csit.2013.3208.

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Thomas, Swapna, Maria K. Smatti, Muna A. Al Maslamani e Hadi Mohamad Yassine. "Influenza Prevalence and Vaccine Efficacy in Diabetic Patients in Qatar". In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2021. http://dx.doi.org/10.29117/quarfe.2021.0112.

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Introduction: Diabetes (DM) is often recognized as ‎an independent risk factor for developing severe respiratory tract infections. Influenza infections are associated with higher hospitalization, morbidity and mortality in DM patients. Vaccination against Influenza virus would reduce the burden of flu infection in DM patients. Aim: To assess the prevalence and burden of influenza infection in DM patients in Qatar and to evaluate the efficacy of influenza vaccination in DM patients Methods: The study included 26,989 patients between 2016- 2018. Virology test results (20 pathogens) as well as the levels of HbA1c were collected for all participant. Data was filtered and analysed to explore the influenza prevalence and vaccine efficiacy among diabetis patients in comparision to non-diabetic. Findings: This study shows that DM patients are at higher-risk for influenza infection. In general, Influenza infections covers around 50 % of total respiratory infections in patients with flu like symptoms in Qatar. However, in vaccinated DM patients, influenza test positivity was low. This study reports the efficacy of routine flu vaccination to reduce the burden of influenza infection in DM patients.
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Rathod, V., U. Shaikh, O. P. Yadav e A. Rathore. "Swine Influenza Model Based Optimization using seasonal flu shots (SIMBO-SS)". In 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions). IEEE, 2015. http://dx.doi.org/10.1109/icrito.2015.7359367.

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Soni, S., S. Walton-Filipczak, S. Yildiz, E. K. Allen, P. G. Thomas, A. García-Sastre, Y. Tesfaigzi e Y. A. Mebratu. "Bcl-2 Interacting Killer, Bik, Promotes Influenza A Virus Replication and Severity to Flu". In American Thoracic Society 2023 International Conference, May 19-24, 2023 - Washington, DC. American Thoracic Society, 2023. http://dx.doi.org/10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a5960.

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Morgan, Jeffrey J., Otto C. Wilson e Prahlad G. Menon. "The Wisdom of Crowds Approach to Influenza-Rate Forecasting". In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86559.

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Influenza is an important public health concern. Influenza leads to the death or hospitalization of thousands of people around the globe every year. However, the flu-season varies every year viz. when it starts, when it peaks, and the severity of the outbreak. Knowing the trajectory of the epidemic outbreak is important for taking appropriate mitigation strategies. Starting with the 2013–2014 flu season, the Influenza Division of the Centers for Disease Control and Prevention (CDC) has held a “Predict the Influenza Season Challenge” to encourage the scientific community to make advances in the field of influenza forecasting. A key observation from these challenges is that a simple average of the submitted forecasts outperformed nearly all of the individual models. Further, ongoing efforts seek ways to assign weights to individual models to create high-performing ensemble models. Given the sheer number of models, as well as variation in methodology followed among teams contributing influenza-risk forecasts, multiple forecasting models can be combined, by capturing human judgment, to outperform a simple average of these same models. This project exploits such a “wisdom of crowds” approach, using public votes acquired with the help of an R/Shiny based web-application platform in order to assign weights to individual forecasting models on a week-over-week basis, in an effort to improve overall ILI risk prediction accuracy. We describe a strategy for improving the accuracy of influenza risk forecast modeling based on a crowd-sourced set of team-specific forecast votes and the results of the 2017–2018 season. Our approach to assigning weights based on crowd-sourced votes on individual models outperformed an average forecasts of the individual models. The crowd was statistically significantly more accurate than the average model and all but one of the individual models.
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Bardak, Batuhan, e Mehmet Tan. "Prediction of influenza outbreaks by integrating Wikipedia article access logs and Google flu trend data". In 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2015. http://dx.doi.org/10.1109/bibe.2015.7367640.

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Kumar, Yogesh, G. Prabhu Kanna, S. J. K. Jagadeesh Kumar e G. Sambasivam. "Influenza Flu Diagnostics and Detection using Artificial Intelligence-based Learning Approaches: Challenges and Recent Study". In 2023 6th International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2023. http://dx.doi.org/10.1109/ic3i59117.2023.10397789.

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Wahid, Ali, Steven Munkeby e Samuel Sambasivam. "Machine Learning-based Flu Forecasting Study Using the Official Data from the Centers for Disease Control and Prevention and Twitter Data". In InSITE 2021: Informing Science + IT Education Conferences. Informing Science Institute, 2021. http://dx.doi.org/10.28945/4773.

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Aim/Purpose: In the United States, the Centers for Disease Control and Prevention (CDC) tracks the disease activity using data collected from medical practices on a weekly basis. Collection of data by CDC from medical practices on a weekly basis leads to a lag time of approximately 2 weeks before any viable action can be planned. The 2-week delay problem was addressed in the study by creating machine learning models to predict flu outbreak. Background: The 2-week delay problem was addressed in the study by correlation of the flu trends identified from Twitter data and official flu data from the Centers for Disease Control and Prevention (CDC) in combination with creating a machine learning model using both data sources to predict flu outbreak. Methodology: A quantitative correlational study was performed using a quasi-experimental design. Flu trends from the CDC portal and tweets with mention of flu and influenza from the state of Georgia were used over a period of 22 weeks from December 29, 2019 to May 30, 2020 for this study. Contribution: This research contributed to the body of knowledge by using a simple bag-of-word method for sentiment analysis followed by the combination of CDC and Twitter data to generate a flu prediction model with higher accuracy than using CDC data only. Findings: The study found that (a) there is no correlation between official flu data from CDC and tweets with mention of flu and (b) there is an improvement in the performance of a flu forecasting model based on a machine learning algorithm using both official flu data from CDC and tweets with mention of flu. Recommendations for Practitioners: In this study, it was found that there was no correlation between the official flu data from the CDC and the count of tweets with mention of flu, which is why tweets alone should be used with caution to predict a flu out-break. Based on the findings of this study, social media data can be used as an additional variable to improve the accuracy of flu prediction models. It is also found that fourth order polynomial and support vector regression models offered the best accuracy of flu prediction models. Recommendation's for Researchers: Open-source data, such as Twitter feed, can be mined for useful intelligence benefiting society. Machine learning-based prediction models can be improved by adding open-source data to the primary data set. Impact on Society: Key implication of this study for practitioners in the field were to use social media postings to identify neighborhoods and geographic locations affected by seasonal outbreak, such as influenza, which would help reduce the spread of the disease and ultimately lead to containment. Based on the findings of this study, social media data will help health authorities in detecting seasonal outbreaks earlier than just using official CDC channels of disease and illness reporting from physicians and labs thus, empowering health officials to plan their responses swiftly and allocate their resources optimally for the most affected areas. Future Research: A future researcher could use more complex deep learning algorithms, such as Artificial Neural Networks and Recurrent Neural Networks, to evaluate the accuracy of flu outbreak prediction models as compared to the regression models used in this study. A future researcher could apply other sentiment analysis techniques, such as natural language processing and deep learning techniques, to identify context-sensitive emotion, concept extraction, and sarcasm detection for the identification of self-reporting flu tweets. A future researcher could expand the scope by continuously collecting tweets on a public cloud and applying big data applications, such as Hadoop and MapReduce, to perform predictions using several months of historical data or even years for a larger geographical area. *** NOTE: This Proceedings paper was revised and published in the journal Issues in Informing Science and Information Technology, 18, 63-81 At the bottom of this page, click DOWNLOAD PDF to download the published paper. ***
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Gokulakrishnan, D., R. Khaliq e MG Semple. "G169 Are children at risk of severe influenza and its complications receiving protection from seasonal flu?" In Royal College of Paediatrics and Child Health, Abstracts of the RCPCH Conference–Online, 25 September 2020–13 November 2020. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2020. http://dx.doi.org/10.1136/archdischild-2020-rcpch.140.

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Relatórios de organizações sobre o assunto "Flu / Influenza"

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Oberst, R. D., Jill Marie Bieker e Caroline Ann Souza. Inactivation of various influenza strains to model avian influenza (Bird Flu) with various disinfectant chemistries. Office of Scientific and Technical Information (OSTI), dezembro de 2005. http://dx.doi.org/10.2172/877140.

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Woods, Rachel, Alison Zhong e Madelyn Vincent. Factors Associated with Influenza & Tdap Vaccine Uptake in Pregnant Patients at the UT Family Medicine Clinic in Memphis. University of Tennessee Health Science Center, 2021. http://dx.doi.org/10.21007/com.lsp.2020.0003.

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INTRODUCTION: Given the increased risk for infections among pregnant patients and newborns, vaccination against influenza (>50,000,000 annual US cases affecting all ages) and pertussis (>15,000 annual US cases disproportionately affecting newborns) are recommended among pregnant patients in order to protect them and their babies via passive immunity to cover a newborn’s window of vaccine ineligibility. Though flu and Tdap vaccination rates among pregnant patients have been trending upwards nationally, there is still room for improvement to achieve optimal rates. OBJECTIVES: The primary objectives were to study factors that affect the vaccination rates at the University of Tennessee Family Medicine Clinic at Memphis (UTFMC-M), compare those rates with national pregnancy flu/Tdap vaccination rates, and to generate recommendations based off observed factors associated with vaccine uptake to improve flu/Tdap vaccination rates in UTFMC-M pregnant patients. METHODS: This was a retrospective chart review of UTFMC-M patients who were pregnant from September 1, 2019-April 24, 2020 (included 2019-2020 flu season) (n=465). Variables studied included demographic data (race, age, insurance), immunization history (vaccine status, history of physician encouragement), and prenatal history (parity, number of prenatal visits, trimester at first visit, high risk clinic (HRC) admittance status). Vaccination status was based on ACIP recommendations (Flu shot eligible = any gestational age; Tdap eligible = ≥27 weeks). Positive HRC admittance was noted for patients with ≥2 visits to the UTFMC-M HRC, a clinic that specializes in high risk pregnant patient care. RESULTS: The patient sample was predominantly black (84.3%) and insured by Medicaid programs (88%). Among eligible UTFMC-M pregnant patients, 50.1% were flu-vaccinated (n=465); 73.8% were Tdap-vaccinated (n=317); and 52.1% were Flu+Tdap-vaccinated (n=317). No significant associations were found between vaccine uptake and HRC status, parity, and age. However, statistically significant relationships were found between vaccine uptake and physician encouragement (positive relationship with flu shot: X2(1, N = 465) =131, p < 0.001, Tdap: X2 (6, N = 465) =476, p < 0.001), number of prenatal visits (flu shot group median 8 visits, Tdap group median 9 visits vs. unvaccinated group median 4 visits; p < 0.001), and early trimester age at first prenatal visit (X2(6, N = 465) =47.635 , p CONCLUSION: 2019-2020 UTFMC-M vaccination rates were on par with 2018-2019 US flu vaccine rates and higher than 2018-2019 US Tdap and Flu+Tdap rates. There were statistically significant relationships between vaccine uptake at UTFMC-M and physician encouragement, number of prenatal visits, and early trimester age at first prenatal visit but no significant relationships with UTFMC-M HRC admittance, parity, or age. Recommendations following from our observations to address further vaccine rate improvement include: continue vaccine encouragement, continue booking multiple visits (8 for flu, 9 for Tdap), prioritize Tdap vaccine higher for late trimester intake patients, and focus on flu vaccine encouragement and education.
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Falconi, César. Potential Economic Impacts of Avian Influenza in LAC. Inter-American Development Bank, agosto de 2006. http://dx.doi.org/10.18235/0006877.

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This presentation discuses bird flu in two different related scenarios: as a disease that could affect the Poultry Sector and as a disease that could cause a Human Pandemic. The paper includes an analysis on what's at stake, risks and probabilities, costs, impacts and ways of prevention, as well as a series of conclusions. This presentation was created for the Seminar "The Mass Media and the Threat of Avian Influenza in Latin America" held in August of 2006.
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Barro, Robert, José Ursúa e Joanna Weng. The Coronavirus and the Great Influenza Pandemic: Lessons from the “Spanish Flu” for the Coronavirus’s Potential Effects on Mortality and Economic Activity. Cambridge, MA: National Bureau of Economic Research, março de 2020. http://dx.doi.org/10.3386/w26866.

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Gray. L51567 Influence of Filler Wire Carbon and Residual Element Content on the Mechanical Properties. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), junho de 1998. http://dx.doi.org/10.55274/r0010565.

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This study was conducted to determine the interactive roles of carbon, oxygen, and nitrogen and residual elements such as titanium, chromium, copper, sulfur, phosphorous, aluminum, tin, antimony, and arsenic on weld metal mechanical properties in pipeline steels. Eleven seamless, flux-core electrodes were fabricated with varying compositions and deposited in girth welds in a 24-inch diameter, API 5LX-65 pipe using the gas-metal-arc-weld (GMAW) process. The results of Charpy V-notch and crack-tip opening displacement tests indicate that desirable toughness properties may require the addition of alloying elements (e.g., nickel) that promote the formation of acicular-ferrite microstructures. In addition, small variations in sulfur content were shown to cause significant variability in notch toughness.
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Brotherhood, Luiz, Philipp Kircher, Cezar Santos e Michèle Tertilt. Optimal Age-based Policies for Pandemics: An Economic Analysis of Covid-19 and Beyond. Inter-American Development Bank, dezembro de 2023. http://dx.doi.org/10.18235/0005350.

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This paper investigates the importance of the age composition for pandemic policy design. To do so, it introduces an economic framework with age heterogeneity, individual choice, and incomplete information, emphasizing the value of testing. Calibrating the model to the US Covid-19 pandemic reveals an 80% reduction in death toll due to voluntary actions and the lockdown implemented in the United States. The optimal lockdown, however, is more stringent than what was implemented in the United States. Moreover, the social planner follows an asymmetric approach by locking down the young relatively more than the old. We underscore the importance of testing, showing its impact on reduced deaths, lower economic costs and laxer lockdown. We use the framework to provide systematic insights into pandemics caused by different viruses (among others the Spanish flu), and underline the influence of economic conditions on optimal policies.
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Bojanowski, Cezary, e Aurelien Bergeron. Influence of Multi-Dimension Heat Conduction on Heat Flux Calculation for HFIR LEU Analysis. Office of Scientific and Technical Information (OSTI), setembro de 2017. http://dx.doi.org/10.2172/1463238.

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Bentz, Dale P. Influence of curing conditions on water loss and hydration in cement pastes with and without fly ash substitution. Gaithersburg, MD: National Institute of Standards and Technology, 2002. http://dx.doi.org/10.6028/nist.ir.6886.

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Huang, Dan, Mirian Velay-Lizancos e Jan Olek. Improving Scaling Resistance of Pavement Concrete Using Titanium Dioxide (TiO2 ) and Nanosilica. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317583.

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This project focused on the evaluation of the influence of nanoadditives on the hydration kinetics, mechanical properties, and durability of concretes with and without supplementary cementitious materials (SCMs). The types of nanomaterials used in the course of this study included nano-titanium dioxide (nano-TiO2) and two forms of nanosilica. A series of experimental tasks, including fabrication, curing, and conditioning of specimens, microstructure analysis, mechanical strength testing, and durability testing were conducted in the laboratory. Based on experimental results, it can be concluded that the addition of nanoparticles can accelerate the early-age hydration process of cementitious pastes, especially those containing fly ash and cured at low temperatures. Both the compressive and flexural strength of mortars and concretes were also enhanced by the addition of nanoparticles. In addition, incorporation of nanoparticles reduced the total amount and connectivity of pores present in concretes. That resulted in lowering the water permeability of concretes, regardless of the cementitious systems and curing temperatures used. The resistance of concretes to freeze-thaw cycles and scaling was also improved by the addition of nanoparticles, especially those containing fly ash. However, an excess of nanoparticles additions may reduce the scaling resistance of concretes.
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Lakshminarasimhaiah, Nishanth, Nayana N. Patil, Nivedita Kumbar, Sravani Kaveti e Debasish Kar. Influence of E. coli on workability and strength characteristics of self-consolidating geopolymer concrete based on GGBFS, fly ash and alccofine. Peeref, abril de 2023. http://dx.doi.org/10.54985/peeref.2304p2588316.

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