Displaying publications 1 - 20 of 83 in total

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  1. Rimmelzwaan GF, de Jong JC, Donker GA, Meijer A, Fouchier RA, Osterhaus AD
    Ned Tijdschr Geneeskd, 2006 Oct 7;150(40):2209-14.
    PMID: 17061434
    The first sign of influenza activity in the Netherlands during the 2005-2006 influenza season was the isolation of influenza viruses in the last week of 2005. From Week 1 of 2006 onwards, an increase in clinical influenza activity was also observed that did not return to baseline levels until Week 15. Two waves of influenza activity were observed with peak incidences of 13.8 and 9.8 influenza-like illnesses per 10,000 inhabitants on Weeks 7 and 12, respectively. The first wave of influenza was caused primarily by influenza B viruses, whereas the second wave was caused predominantly by influenza A/H3N2 viruses. The influenza B viruses appeared to belong to two different phylogenetic lineages and were antigenically distinguishable from the vaccine strain. The isolated influenza A/H3N2 viruses were closely related to the vaccine strain for this subtype and only minor antigenic differences with the vaccine strain were observed for a limited number of isolates. Only a small number of influenza A/H1N1 viruses were isolated, which all closely resembled the H1N1 vaccine strain. For the 2006-2007 influenza season, the World Health Organization has recommended the following vaccine composition: A/Wisconsin/67/05 (H3N2), A/New Caledonia/20/99 (H1N1) and B/Malaysia/2506/05.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/immunology*; Influenza A Virus, H1N1 Subtype/isolation & purification
  2. Mazurkova NA, Troshkova, Shishkina LN, Stavskiĭ EA, Drozdov IG
    PMID: 21449080
    AIM: To develop nutrient medium for MDCK and Vero cells based on soy hydrolysate obtained using bromeline and to assess of growth characteristics of influenza virus vaccine strains cultivated on them.

    MATERIALS AND METHODS: Physico-chemical characteristics of hydrolysate were assessed according to FS 42-3874-99. Growth characteristics of nutrient medium based on soy hydrolysate and vaccine strains of influenza virus A/Solomon Islands/03/06 (H1N1), A/Wisconsin/67/2005 (H3N2) and B/Malaysia/2506/2004 were studied on MDCK and Vero cells.

    RESULTS: MDCK and Vero cells grew well on medium based on soy hydrolysate obtained using bromeline with decreased (to 2% and 3% respectively) content of fetal calf serum and allowed effective production of vaccine strains of influenza virus.

    CONCLUSION: Technology for producing of nutrient medium based on hydrolysate of soy flour obtained using bromeline was developed. This medium could successively used for cultivation of continued cell cultures MDCK and Vero used as substrate for tissue culture-based vaccines against influenza.

    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/growth & development*
  3. Roychoudhury S, Das A, Sengupta P, Dutta S, Roychoudhury S, Choudhury AP, et al.
    PMID: 33333995 DOI: 10.3390/ijerph17249411
    The twenty-first century has witnessed some of the deadliest viral pandemics with far-reaching consequences. These include the Human Immunodeficiency Virus (HIV) (1981), Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) (2002), Influenza A virus subtype H1N1 (A/H1N1) (2009), Middle East Respiratory Syndrome Coronavirus (MERS-CoV) (2012) and Ebola virus (2013) and the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) (2019-present). Age- and gender-based characterizations suggest that SARS-CoV-2 resembles SARS-CoV and MERS-CoV with regard tohigher fatality rates in males, and in the older population with comorbidities. The invasion-mechanism of SARS-CoV-2 and SARS-CoV, involves binding of its spike protein with angiotensin-converting enzyme 2 (ACE2) receptors; MERS-CoV utilizes dipeptidyl peptidase 4 (DPP4), whereas H1N1 influenza is equipped with hemagglutinin protein. The viral infections-mediated immunomodulation, and progressive inflammatory state may affect the functions of several other organs. Although no effective commercial vaccine is available for any of the viruses, those against SARS-CoV-2 are being developed at an unprecedented speed. Until now, only Pfizer/BioNTech's vaccine has received temporary authorization from the UK Medicines and Healthcare products Regulatory Agency. Given the frequent emergence of viral pandemics in the 21st century, proper understanding of their characteristics and modes of action are essential to address the immediate and long-term health consequences.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  4. Oxford J, Berezin EN, Courvalin P, Dwyer DE, Exner M, Jana LA, et al.
    Am J Infect Control, 2014 Apr;42(4):423-5.
    PMID: 24679569 DOI: 10.1016/j.ajic.2013.10.016
    We investigated the survival of a pandemic strain of influenza A H1N1 on a variety of common household surfaces where multiple samples were taken from 4 types of common household fomite at 7 time points. Results showed that influenza A H1N1sw virus particles remained infectious for 48 hours on a wooden surface, for 24 hours on stainless steel and plastic surfaces, and for 8 hours on a cloth surface, although virus recovery from the cloth may have been suboptimal. Our results suggest that pandemic influenza A H1N1 can survive on common household fomites for extended periods of time, and that good hand hygiene and regular disinfection of commonly touched surfaces should be practiced during the influenza season to help reduce transmission.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/isolation & purification*; Influenza A Virus, H1N1 Subtype/physiology*
  5. Bhowmick S, Chakravarty C, Sellathamby S, Lal SK
    Arch Virol, 2017 Apr;162(4):919-929.
    PMID: 27942972 DOI: 10.1007/s00705-016-3153-8
    The matrix protein 2 (M2) is a spliced product of segment 7 genome of influenza A virus. Previous studies indicate its role in uncoating of the viral ribonucleoprotein complex during viral entry and in membrane scission while budding. Despite its crucial role in the viral life cycle, little is known about its subcellular distribution and dynamics. In this study, we have shown that the M2 protein is translocated from the membrane to the cytoplasm by a retrograde route via endosomes and the Golgi network. It utilizes retromer cargo while moving from the endosome to the trans-Golgi network and prevents endosome fusion with the lysosome. Further, M2 interacts with the endoplasmic-reticulum-resident AAA-ATPase p97 for its release into the cytoplasm. Our study also revealed that the M2 protein in the cellular milieu does not undergo ubiquitin-mediated proteasomal degradation. The migration of M2 through this pathway inside the infected cell suggests possible new roles that the M2 protein may have in the host cytoplasm, apart from its previously described functions.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/genetics; Influenza A Virus, H1N1 Subtype/metabolism*
  6. Sam JIC
    Med J Malaysia, 2015 Jun;70(3):127-30.
    PMID: 26248773 MyJurnal
    Seasonal and pandemic influenza causes considerable morbidity and mortality globally, but the burden of disease is understudied and underreported in developing countries such as Malaysia. Before considering the cost-effectiveness of introducing interventions such as vaccines to control influenza, it is imperative to determine clinical and socioeconomic impact of the disease. This review summarises the main available literature on human influenza in Malaysia, the possible reasons for the lack of study and awareness of influenza, and important knowledge gaps for future study.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  7. Wong LP, Sam IC
    Prev Med, 2010 Jul;51(1):92-3.
    PMID: 20403375 DOI: 10.1016/j.ypmed.2010.04.010
    This paper aimed to examine the temporal changes in psychobehavioral responses in relation to reported 2009 H1N1 influenza deaths.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype*
  8. Opitz L, Lehmann S, Reichl U, Wolff MW
    Biotechnol Bioeng, 2009 Aug 15;103(6):1144-54.
    PMID: 19449393 DOI: 10.1002/bit.22345
    Strategies to control outbreaks of influenza, a contagious respiratory tract disease, are focused mainly on prophylactic vaccinations in conjunction with antiviral medications. Currently, several mammalian cell culture-based influenza vaccine production processes are being established, such as the technologies introduced by Novartis Behring (Optaflu) or Baxter International Inc. (Celvapan). Downstream processing of influenza virus vaccines from cell culture supernatant can be performed by adsorbing virions onto sulfated column chromatography beads, such as Cellufine sulfate. This study focused on the development of a sulfated cellulose membrane (SCM) chromatography unit operation to capture cell culture-derived influenza viruses. The advantages of the novel method were demonstrated for the Madin Darby canine kidney (MDCK) cell-derived influenza virus A/Puerto Rico/8/34 (H1N1). Furthermore, the SCM-adsorbers were compared directly to column-based Cellufine sulfate and commercially available cation-exchange membrane adsorbers. Sulfated cellulose membrane adsorbers showed high viral product recoveries. In addition, the SCM-capture step resulted in a higher reduction of dsDNA compared to the tested cation-exchange membrane adsorbers. The productivity of the SCM-based unit operation could be significantly improved by a 30-fold increase in volumetric flow rate during adsorption compared to the bead-based capture method. The higher flow rate even further reduced the level of contaminating dsDNA by about twofold. The reproducibility and general applicability of the developed unit operation were demonstrated for two further MDCK cell-derived influenza virus strains: A/Wisconsin/67/2005 (H3N2) and B/Malaysia/2506/2004. Overall, SCM-adsorbers represent a powerful and economically favorable alternative for influenza virus capture over conventional methods using Cellufine sulfate.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/isolation & purification*
  9. Yusuf M, Konc J, Sy Bing C, Trykowska Konc J, Ahmad Khairudin NB, Janezic D, et al.
    J Chem Inf Model, 2013 Sep 23;53(9):2423-36.
    PMID: 23980878 DOI: 10.1021/ci400421e
    ProBiS is a new method to identify the binding site of protein through local structural alignment against the nonredundant Protein Data Bank (PDB), which may result in unique findings compared to the energy-based, geometry-based, and sequence-based predictors. In this work, binding sites of Hemagglutinin (HA), which is an important target for drugs and vaccines in influenza treatment, have been revisited by ProBiS. For the first time, the identification of conserved binding sites by local structural alignment across all subtypes and strains of HA available in PDB is presented. ProBiS finds three distinctive conserved sites on HA's structure (named Site 1, Site 2, and Site 3). Compared to other predictors, ProBiS is the only one that accurately defines the receptor binding site (Site 1). Apart from that, Site 2, which is located slightly above the TBHQ binding site, is proposed as a potential novel conserved target for membrane fusion inhibitor. Lastly, Site 3, located around Helix A at the stem domain and recently targeted by cross-reactive antibodies, is predicted to be conserved in the latest H7N9 China 2013 strain as well. The further exploration of these three sites provides valuable insight in optimizing the influenza drug and vaccine development.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/drug effects; Influenza A Virus, H1N1 Subtype/immunology; Influenza A Virus, H1N1 Subtype/physiology
  10. Samsudin EZ, Yasin SM, Ruslan NH, Abdullah NN, Noor AFA, Hair AFA
    BMC Infect Dis, 2024 Jan 16;24(1):93.
    PMID: 38229063 DOI: 10.1186/s12879-024-08993-y
    BACKGROUND: Recent pandemics have had far-reaching effects on the world's largest economies and amplified the need to estimate the full extent and range of socioeconomic impacts of infectious diseases outbreaks on multi-sectoral industries. This systematic review aims to evaluate the socioeconomic impacts of airborne and droplet-borne infectious diseases outbreaks on industries.

    METHODS: A structured, systematic review was performed according to the PRISMA guidelines. Databases of PubMed, Scopus, Web of Science, IDEAS/REPEC, OSHLINE, HSELINE, and NIOSHTIC-2 were reviewed. Study quality appraisal was performed using the Table of Evidence Levels from Cincinnati Children's Hospital Medical Center, Joanna Briggs Institute tools, Mixed Methods Appraisal Tool, and Center of Evidence Based Management case study critical appraisal checklist. Quantitative analysis was not attempted due to the heterogeneity of included studies. A qualitative synthesis of primary studies examining socioeconomic impact of airborne and droplet-borne infectious diseases outbreaks in any industry was performed and a framework based on empirical findings was conceptualized.

    RESULTS: A total of 55 studies conducted from 1984 to 2021 were included, reporting on 46,813,038 participants working in multiple industries across the globe. The quality of articles were good. On the whole, direct socioeconomic impacts of Coronavirus Disease 2019, influenza, influenza A (H1N1), Severe Acute Respiratory Syndrome, tuberculosis and norovirus outbreaks include increased morbidity, mortality, and health costs. This had then led to indirect impacts including social impacts such as employment crises and reduced workforce size as well as economic impacts such as demand shock, supply chain disruptions, increased supply and production cost, service and business disruptions, and financial and Gross Domestic Product loss, attributable to productivity losses from illnesses as well as national policy responses to contain the diseases.

    CONCLUSIONS: Evidence suggests that airborne and droplet-borne infectious diseases have inflicted severe socioeconomic costs on regional and global industries. Further research is needed to better understand their long-term socioeconomic impacts to support improved industry preparedness and response capacity for outbreaks. Public and private stakeholders at local, national, and international levels must join forces to ensure informed systems and sector-specific cost-sharing strategies for optimal global health and economic security.

    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  11. Mehrbod P, Hair-Bejo M, Tengku Ibrahim TA, Omar AR, El Zowalaty M, Ajdari Z, et al.
    Int J Mol Med, 2014 Jul;34(1):61-73.
    PMID: 24788303 DOI: 10.3892/ijmm.2014.1761
    Influenza A virus is one of the most important health risks that lead to significant respiratory infections. Continuous antigenic changes and lack of promising vaccines are the reasons for the unsuccessful treatment of influenza. Statins are pleiotropic drugs that have recently served as anti-influenza agents due to their anti-inflammatory activity. In this study, the effect of simvastatin on influenza A-infected cells was investigated. Based on the MTT cytotoxicity test, hemagglutination (HA) assay and qPCR it was found that simvastatin maintained cell viability and decreased the viral load significantly as compared to virus-inoculated cells. The expression of important pro-inflammatory cytokines (tumor necrosis factor-α, interleukin-6 and interferon-γ), which was quantified using ELISA showed that simvastatin decreased the expression of pro-inflammatory cytokines to an average of 2-fold. Furthermore, the modulation of actin filament polymerization was determined using rhodamine staining. Endocytosis and autophagy processes were examined by detecting Rab and RhoA GTPase protein prenylation and LC3 lipidation using western blotting. The results showed that inhibiting GTPase and LC3 membrane localization using simvastatin inhibits influenza replication. Findings of this study provide evidence that modulation of RhoA, Rabs and LC3 may be the underlying mechanisms for the inhibitory effects of simvastatin as an anti-influenza compound.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/drug effects*; Influenza A Virus, H1N1 Subtype/physiology
  12. Lombe D, Sullivan R, Caduff C, Ali Z, Bhoo-Pathy N, Cleary J, et al.
    Ecancermedicalscience, 2021;15:1202.
    PMID: 33889211 DOI: 10.3332/ecancer.2021.1202
    Introduction: Public health emergencies and crises such as the current COVID-19 pandemic can accelerate innovation and place renewed focus on the value of health interventions. Capturing important lessons learnt, both positive and negative, is vital. We aimed to document the perceived positive changes (silver linings) in cancer care that emerged during the COVID-19 pandemic and identify challenges that may limit their long-term adoption.

    Methods: This study employed a qualitative design. Semi-structured interviews (n = 20) were conducted with key opinion leaders from 14 countries. The participants were predominantly members of the International COVID-19 and Cancer Taskforce, who convened in March 2020 to address delivery of cancer care in the context of the pandemic. The Framework Method was employed to analyse the positive changes of the pandemic with corresponding challenges to their maintenance post-pandemic.

    Results: Ten themes of positive changes were identified which included: value in cancer care, digital communication, convenience, inclusivity and cooperation, decentralisation of cancer care, acceleration of policy change, human interactions, hygiene practices, health awareness and promotion and systems improvement. Impediments to the scale-up of these positive changes included resource disparities and variation in legal frameworks across regions. Barriers were largely attributed to behaviours and attitudes of stakeholders.

    Conclusion: The COVID-19 pandemic has led to important value-based innovations and changes for better cancer care across different health systems. The challenges to maintaining/implementing these changes vary by setting. Efforts are needed to implement improved elements of care that evolved during the pandemic.

    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  13. Ismail A. Hamid, Marzida Mansor, Siok, Gracie Yan Ong, Kumar, N.M.
    MyJurnal
    Since the outbreak of the novel influenza H1N1 in April 2009 in Mexico, more then half a million cases have been recorded with more then 6000 deaths.In contrast to seasonal flu, this virus appears to have a predilection for the young, obese and pregnant.It’s most important and almost fatal complication is Acute Respiratory Distress Syndrome (ARDS). Intensive care units (ICU) around the world have scrambled to upgrade various treatment modalities including high frequency oscillation ventilation, inotropes, antivirals and antibiotics in an effort to reduce the mortality arising out of this complication. More importantly, this complication appears reversible if adequate and early therapy is instituted. In particular, rescue therapies that allow the lung to rest appear to have brought success in some clinical settings. This article describes the experiences of seven centers that have used various modalities as rescue therapy in patients having Acute Respiratory Distress Syndrome (ARDS). The experiences in 13 patients at the University of Michigan, 58 in Mexico, 168 in Canada, 180 patients at Leicester UK, 194 in Australia and New Zealand and case reports from Hong Kong and Singapore are described.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  14. Sam IC, Shaw R, Chan YF, Hooi PS, Hurt AC, Barr IG
    J Med Virol, 2013 Aug;85(8):1420-5.
    PMID: 23765779 DOI: 10.1002/jmv.23622
    Relatively little is known about the burden of influenza in tropical countries. The seroprevalence of pandemic influenza A (H1N1) 2009, seasonal H1N1 and H3N2 was determined in Kuala Lumpur, Malaysia. Pre- and post-pandemic residual laboratory sera were tested by hemagglutination-inhibition. The seroprevalence of A(H1N1)pdm09 increased from 3.7% pre-pandemic to 21.9% post-pandemic, giving an overall cumulative incidence of 18.1% (95% CI, 13.8-22.5%), mainly due to increases in those <5, 5-17, and 18-29 years old. In contrast with findings from USA, Europe, and Australia, pre-existing seroprevalence to A(H1N1)pdm09 was low at 5.6% in the elderly age group of >55 years. A(H1N1)pdm09 affected almost a third of those <30 years in Kuala Lumpur. Pre-pandemic seroprevalence was 14.7% for seasonal H1N1 and 21.0% for H3N2, and these rates did not change significantly after the pandemic. Seasonal and pandemic influenza cause a considerable burden in tropical Malaysia, particularly in children and young adults.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/immunology
  15. Suriya R, Hassan L, Omar AR, Aini I, Tan CG, Lim YS, et al.
    Zoonoses Public Health, 2008 Sep;55(7):342-51.
    PMID: 18667027 DOI: 10.1111/j.1863-2378.2008.01138.x
    Following a series of H5N1 cases in chickens and birds in a few states in Malaysia, there was much interest in the influenza A viruses subtypes that circulate among the local pig populations. Pigs may act as a mixing vessel for avian and mammal influenza viruses, resulting in new reassorted viruses. This study investigated the presence of antibodies against influenza H1N1 and H3N2 viruses in pigs from Peninsular Malaysia using Herdcheck Swine Influenza H1N1 and H3N2 Antibody Test Kits. At the same time, the presence of influenza virus was examined from the nasal swabs of seropositive pigs by virus isolation and real time RT-PCR. The list of pig farms was obtained from the headquarters of the Department of Veterinary Services, Malaysia, and pig herds were selected randomly from six of 11 states in Peninsular Malaysia. A total of 727 serum and nasal swab samples were collected from 4- to 6-month-old pigs between May and August 2005. By ELISA, the seroprevalences of swine influenza H1N1 and H3N2 among pigs were 12.2% and 12.1% respectively. Seropositivity for either of the virus subtypes was detected in less than half of the 41 sampled farms (41.4%). Combination of both subtypes was detected in 4% of all pigs and in 22% of sampled farms. However, no virus or viral nucleic acid was detected from nasal samples. This study identified that the seropositivity of pigs to H1N1 and H3N2 based on ELISA was significantly associated with factors such as size of farm, importation or purchase of pigs, proximity of farm to other pig farms and the presence of mammalian pets within the farm.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  16. Rafiq S, Russell ML, Webby R, Fonseca K, Smieja M, Singh P, et al.
    PLoS One, 2012;7(12):e51498.
    PMID: 23240030 DOI: 10.1371/journal.pone.0051498
    BACKGROUND: To evaluate if, among children aged 3 to 15 years, influenza vaccination for multiple seasons affects the proportion sero-protected.

    METHODOLOGY/PRINCIPAL FINDINGS: Participants were 131 healthy children aged 3-15 years. Participants were vaccinated with trivalent inactivated seasonal influenza vaccine (TIV) over the 2005-06, 2006-07 and 2007-8 seasons. Number of seasons vaccinated were categorized as one (2007-08); two (2007-08 and 2006-07 or 2007-08 and 2005-06) or three (2005-06, 2006-07, and 2007-08). Pre- and post-vaccination sera were collected four weeks apart. Antibody titres were determined by hemagglutination inhibition (HAI) assay using antigens to A/Solomon Islands/03/06 (H1N1), A/Wisconsin/67/05 (H3N2) and B/Malaysia/2506/04. The proportions sero-protected were compared by number of seasons vaccinated using cut-points for seroprotection of 1:40 vs. 1:320. The proportions of children sero-protected against H1N1 and H3N2 was high (>85%) regardless of number of seasons vaccinated and regardless of cut-point for seroprotection. For B Malaysia there was no change in proportions sero-protected by number of seasons vaccinated; however the proportions protected were lower than for H1N1 and H3N2, and there was a lower proportion sero-protected when the higher, compared to lower, cut-point was used for sero-protection.

    CONCLUSION/SIGNIFICANCE: The proportion of children sero-protected is not affected by number of seasons vaccinated.

    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/immunology
  17. Xi S, Li Y, Yue L, Gong Y, Qian L, Liang T, et al.
    Front Pharmacol, 2020;11:582322.
    PMID: 33192523 DOI: 10.3389/fphar.2020.582322
    Viral pneumonia is one kind of acute respiratory tract infection caused by the virus. There have been many outbreaks of viral pneumonia with high contagiousness and mortality both in China and abroad, such as the great influenza in 1918, the severe acute respiratory syndrome (SARS) coronavirus in 2003, the Influenza A (H1N1) virus in 2009, and the Middle East Respiratory Syndrome coronavirus (MERS-CoV) in 2012 and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019. These outbreaks and/or pandemic have significant impact on human life, social behaviors, and economic development. Moreover, no specific drug has been developed for these viruses. Traditional Chinese medicine (TCM) plays an important role in the treatment of viral pneumonia during these outbreaks especially in SARS and SARS-CoV-2 because studies suggest that TCM formulations may target several aspects of the disease and may have lesser side effects than manufactured pharmaceuticals. In recent years, a lot of clinicians and researchers have made a series of in-depth explorations and investigations on the treatment of viral pneumonia with TCM, which have understood TCM therapeutic mechanisms more specifically and clearly. But critical analysis of this research in addition to further studies are needed to assess the potential of TCM in the treatment of viral pneumonia.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype
  18. Goodwin R, Haque S, Hassan SB, Dhanoa A
    Public Underst Sci, 2011 Jul;20(4):477-90.
    PMID: 21936262
    Novel influenza viruses are seen, internationally, as posing considerable health challenges, but public responses to such viruses are often rooted in cultural representations of disease and risk. However, little research has been conducted in locations associated with the origin of a pandemic. We examined representations and risk perceptions associated with swine flu amongst 120 Malaysian pig farmers. Thirty-seven per cent of respondents felt at particular risk of infection, two-thirds were somewhat or very concerned about being infected. Those respondents who were the most anxious believed particular societal "out-groups" (homosexuals, the homeless and prostitutes) to be at higher infection risk. Although few (4%) reported direct discrimination, 46% claimed friends had avoided them since the swine flu outbreak. Findings are discussed in the context of evolutionary, social representations and terror management theories of response to pandemic threat.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype*
  19. Wiwanitkit V
    Med J Malaysia, 2011 Mar;66(1):75.
    PMID: 23765153
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype*
  20. Algamal ZY, Qasim MK, Lee MH, Ali HTM
    SAR QSAR Environ Res, 2020 Nov;31(11):803-814.
    PMID: 32938208 DOI: 10.1080/1062936X.2020.1818616
    High-dimensionality is one of the major problems which affect the quality of the quantitative structure-activity relationship (QSAR) modelling. Obtaining a reliable QSAR model with few descriptors is an essential procedure in chemometrics. The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. In this paper, four new transfer functions were adapted to improve the exploration and exploitation capability of the BGOA in QSAR modelling of influenza A viruses (H1N1). The QSAR model with these new quadratic transfer functions was internally and externally validated based on MSEtrain, Y-randomization test, MSEtest, and the applicability domain (AD). The validation results indicate that the model is robust and not due to chance correlation. In addition, the results indicate that the descriptor selection and prediction performance of the QSAR model for training dataset outperform the other S-shaped and V-shaped transfer functions. QSAR model using quadratic transfer function shows the lowest MSEtrain. For the test dataset, proposed QSAR model shows lower value of MSEtest compared with the other methods, indicating its higher predictive ability. In conclusion, the results reveal that the proposed QSAR model is an efficient approach for modelling high-dimensional QSAR models and it is useful for the estimation of IC50 values of neuraminidase inhibitors that have not been experimentally tested.
    Matched MeSH terms: Influenza A Virus, H1N1 Subtype/enzymology*
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