Displaying publications 61 - 79 of 79 in total

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  1. Chastel C
    Med Mal Infect, 2004 Nov;34(11):499-505.
    PMID: 15620053
    Tropical Africa is not the only area where deadly viruses have recently emerged. In South-East Asia severe epidemics of dengue hemorrhagic fever started in 1954 and flu pandemics have originated from China such as the Asian flu (H2N2) in 1957, the Hong-Kong flu (H3N2) in 1968, and the Russian flu (H1N1) in 1977. However, it is especially during the last ten years that very dangerous viruses for mankind have repeatedly developed in Asia, with the occurrence of Alkhurma hemorrhagic fever in Saudi Arabia (1995), avian flu (H5N1) in Hong-Kong (1997), Nipah virus encephalitis in Malaysia (1998,) and, above all, the SARS pandemic fever from Southern China (2002). The evolution of these viral diseases was probably not directly affected by climate change. In fact, their emergential success may be better explained by the development of large industry poultry flocks increasing the risks of epizootics, dietary habits, economic and demographic constraints, and negligence in the surveillance and reporting of the first cases.
    Matched MeSH terms: Influenza, Human/epidemiology
  2. Daodu OB, Adebiyi AI, Oluwayelu DO
    Trop Biomed, 2019 Dec 01;36(4):1054-1060.
    PMID: 33597474
    Evidence of influenza A virus (IAV) infection in dogs, a major companion animal of humans, suggests the possibility that they may constitute a new source for transmission of novel influenza viruses to humans. The potential public health risk posed by this possibility of interspecies spread of IAV between dogs and humans necessitated surveillance for the virus in dogs and their human contacts. Sera from 239 asymptomatic pet and hunting dogs in Oyo state, Nigeria were screened for anti-IAV nucleoprotein antibodies using competitive enzyme-linked immunosorbent assay (ELISA) while haemagglutination inhibiting (HI) antibodies in the positive sera were detected using influenza virus H3 and H5 subtypespecific antigens. Suspensions prepared from 239 and 39 nasal swabs from dogs and human contacts, respectively were tested for presence of the highly conserved IAV matrix gene by reverse transcriptase-polymerase chain reaction (RT-PCR). Only 4 (1.7%) of the 239 sera tested were positive by the ELISA. The HI test confirmed the presence of H3 influenza virus subtype-specific antibodies in one (25.0%) of the 4 ELISA-positive sera with a titre of 1:128 while none was positive for H5 subtype-specific antibodies. All the nasal swabs assayed by RT-PCR were negative for IAV nucleic acid. The detection of IAV antibodies in pet and hunting dogs in this study, although at a low rate, suggests that these dogs could play a crucial role in the zoonotic transmission of influenza viruses especially considering the close interaction between them and their human contacts. Continuous surveillance for IAV among dog populations in Oyo State (and Nigeria) is therefore advocated to facilitate early detection of infection or emergence of novel influenza virus strains that could be potentially harmful to humans and or animals.
    Matched MeSH terms: Influenza, Human/epidemiology*
  3. Saenz AC, Assaad FA, Cockburn WC
    Lancet, 1969 Jan 11;1(7585):91-3.
    PMID: 4178014
    Matched MeSH terms: Influenza, Human/epidemiology*
  4. Tan DS, Omar M, Yap TC
    Med J Malaysia, 1979 Dec;34(2):159-62.
    PMID: 548720
    Matched MeSH terms: Influenza, Human/epidemiology
  5. Cheng KJG, Rivera AS, Lam HY, Ulitin AR, Nealon J, Dizon R, et al.
    PLoS One, 2020;15(6):e0234715.
    PMID: 32555618 DOI: 10.1371/journal.pone.0234715
    Influenza-associated mortality has not been quantified in the Philippines. Here, we constructed multiple negative binomial regression models to estimate the overall and age-specific excess mortality rates (EMRs) associated with influenza in the Philippines from 2006 to 2015. The regression analyses used all-cause mortality as the dependent variable and meteorological controls, time, influenza A and B positivity rates (lagged for up to two time periods), and annual and semiannual cyclical seasonality controls as independent variables. The regression models closely matched observed all-cause mortality. Influenza was estimated to account for a mean of 5,347 excess deaths per year (1.1% of annual all-cause deaths) in the Philippines, most of which (67.1%) occurred in adults aged ≥60 years. Influenza A accounted for 85.7% of all estimated excess influenza deaths. The annual estimated influenza-attributable EMR was 5.09 (95% CI: 2.20-5.09) per 100,000 individuals. The EMR was highest for individuals aged ≥60 years (44.63 [95% CI: 4.51-44.69] per 100,000), second highest for children aged less than 5 years (2.14 [95% CI: 0.44-2.19] per 100,000), and lowest for individuals aged 10 to 19 years (0.48 [95% CI: 0.10-0.50] per 100,000). Estimated numbers of excess influenza-associated deaths were considerably higher than the numbers of influenza deaths registered nationally. Our results suggest that influenza causes considerable mortality in the Philippines-to an extent far greater than observed from national statistics-especially among older adults and young children.
    Matched MeSH terms: Influenza, Human/epidemiology
  6. Du L, Pang Y
    Sci Rep, 2021 06 24;11(1):13275.
    PMID: 34168200 DOI: 10.1038/s41598-021-92484-6
    Influenza is an infectious disease that leads to an estimated 5 million cases of severe illness and 650,000 respiratory deaths worldwide each year. The early detection and prediction of influenza outbreaks are crucial for efficient resource planning to save patient's lives and healthcare costs. We propose a new data-driven methodology for influenza outbreak detection and prediction at very local levels. A doctor's diagnostic dataset of influenza-like illness from more than 3000 clinics in Malaysia is used in this study because these diagnostic data are reliable and can be captured promptly. A new region index (RI) of the influenza outbreak is proposed based on the diagnostic dataset. By analysing the anomalies in the weekly RI value, potential outbreaks are identified using statistical methods. An ensemble learning method is developed to predict potential influenza outbreaks. Cross-validation is conducted to optimize the hyperparameters of the ensemble model. A testing data set is used to provide an unbiased evaluation of the model. The proposed methodology is shown to be sensitive and accurate at influenza outbreak prediction, with average of 75% recall, 74% precision, and 83% accuracy scores across five regions in Malaysia. The results are also validated by Google Flu Trends data, news reports, and surveillance data released by World Health Organization.
    Matched MeSH terms: Influenza, Human/epidemiology
  7. Arkema JM, Meijer A, Meerhoff TJ, Van Der Velden J, Paget WJ, European Influenza Surveillance Scheme (EISS)
    Euro Surveill, 2008 Aug 21;13(34).
    PMID: 18761888
    Influenza surveillance in Europe is based on influenza surveillance networks that cooperate and share information through the European Influenza Surveillance Scheme (EISS). EISS collected clinical and virological data on influenza in 33 countries during the 2006-2007 winter. Influenza activity started around 1 January and first occurred in Greece, Scotland and Spain. It then moved gradually across Europe from south to north and lasted until the end of March. In 29 out of 33 countries, the consultation rates for influenza-like-illness or acute respiratory infections in the winter of 2006-2007 were similar or somewhat higher than in the 2005-2006 winter. The highest consultation rates for influenzal ike-illness were generally observed among children aged 0-4 years and 5-14 years. The predominant virus strain was influenza A (97% of total detections) of the H3 subtype (93% of H-subtyped A viruses; 7% were A(H1)). The influenza A(H3) and A(H1) viruses were similar to the vaccine reference strains for the 2006-2007 season, A/Wisconsin/67/2005 (H3N2) and A/New Caledonia/20/99 (H1N1) respectively. The majority of the influenza B viruses were similar to the reference strain B/Malaysia/2506/2004, included in the 2006-2007 vaccine. In conclusion, the 2006-2007 influenza season in Europe was characterised by moderate clinical activity, a south to north spread pattern across Europe, and a dominance of influenza A(H3). Overall there was a good match between the vaccine virus strains and the reported virus strains.
    Matched MeSH terms: Influenza, Human/epidemiology*
  8. Muhammad Ismail HI, Tan KK, Lee YL, Pau WS, Razali KA, Mohamed T, et al.
    Emerg Infect Dis, 2011 Apr;17(4):708-10.
    PMID: 21470467 DOI: 10.3201/eid1704.101212
    To determine effects of pandemic (H1N1) 2009 on children in the tropics, we examined characteristics of children hospitalized for this disease in Malaysia. Of 1,362 children, 51 (3.7%) died, 46 of whom were in an intensive care unit. Although disease was usually mild, ≥ 1 concurrent conditions were associated with higher death rates.
    Matched MeSH terms: Influenza, Human/epidemiology*
  9. Joob B, Wiwanitkit V
    Singapore Med J, 2016 Oct;57(10):586.
    PMID: 27779280 DOI: 10.11622/smedj.2016168
    Matched MeSH terms: Influenza, Human/epidemiology*
  10. Saha S, Chadha M, Al Mamun A, Rahman M, Sturm-Ramirez K, Chittaganpitch M, et al.
    Bull World Health Organ, 2014 May 01;92(5):318-30.
    PMID: 24839321 DOI: 10.2471/BLT.13.124412
    OBJECTIVE: To characterize influenza seasonality and identify the best time of the year for vaccination against influenza in tropical and subtropical countries of southern and south-eastern Asia that lie north of the equator.

    METHODS: Weekly influenza surveillance data for 2006 to 2011 were obtained from Bangladesh, Cambodia, India, Indonesia, the Lao People's Democratic Republic, Malaysia, the Philippines, Singapore, Thailand and Viet Nam. Weekly rates of influenza activity were based on the percentage of all nasopharyngeal samples collected during the year that tested positive for influenza virus or viral nucleic acid on any given week. Monthly positivity rates were then calculated to define annual peaks of influenza activity in each country and across countries.

    FINDINGS: Influenza activity peaked between June/July and October in seven countries, three of which showed a second peak in December to February. Countries closer to the equator had year-round circulation without discrete peaks. Viral types and subtypes varied from year to year but not across countries in a given year. The cumulative proportion of specimens that tested positive from June to November was > 60% in Bangladesh, Cambodia, India, the Lao People's Democratic Republic, the Philippines, Thailand and Viet Nam. Thus, these tropical and subtropical countries exhibited earlier influenza activity peaks than temperate climate countries north of the equator.

    CONCLUSION: Most southern and south-eastern Asian countries lying north of the equator should consider vaccinating against influenza from April to June; countries near the equator without a distinct peak in influenza activity can base vaccination timing on local factors.

    Matched MeSH terms: Influenza, Human/epidemiology*
  11. Prameela KK
    Med J Malaysia, 2011 Jun;66(2):166-9; quiz 170.
    PMID: 22106709
    Essential nutritive and immunological ingredients abundantly present in breastmilk make it the choice infant nutrition. The uniqueness of mother's milk, in contrast to most therapeutics and immunizations, lies in its potential to adapt itself to the requirements of the infant so that timely immune defenses are tapped from its constituents by immune regulation, modulation and immune acceleration to stimulate novel substances; these render it pertinent as defense when faced with challenging organisms. While it is appreciated that immunity can be transferred from mother to infant through breastmilk following maternal influenza vaccination, the immense benefits conferred by breastfeeding per se during influenza pandemics may not be fully valued. This is substantiated by debates and ambiguities for continued breastfeeding in the face of maternal influenza infections. This article emphasises the utmost importance of breastfeeding in viral pandemics in the light of the changing immunological strategies used by viruses at different times and the urgent need for such opportune defenses. The prolific interaction of its constituents is frequently understated as enormous advantages to the suckling infant.
    Matched MeSH terms: Influenza, Human/epidemiology
  12. Ayob A, Selviendran N, Hampson AW, Barr IG, Kumarasamy V, Chua KB
    Med J Malaysia, 2006 Jun;61(2):168-72.
    PMID: 16898307 MyJurnal
    In the months of July and August 2003, an outbreak of acute respiratory illness caused by influenza A virus occurred among students in seven residential schools situated in the northern part (Perak) of Peninsular Malaysia. Out of 4989 students, aged 13 to 18 years (mean = 15.9), 1419 (28%) were effected by influenza-like illness. All patients were treated as outpatients except for 36 students who required admission for high fever, severe coughing and shortness of breath. Abnormal chest X-ray findings were noted for those that required inpatient management. Influenza A virus was isolated from 37 sputum specimens, 20 throat swabs and three nasal swab specimens from a total of 278 clinical samples obtained from 180 patients. Isolates from each of the outbreaks were sent to WHO Collaborating Centre for Reference and Research on Influenza, Melbourne, Australia for antigenic and genetic analysis. One school outbreak was due to influenza A (H1N1), A/New Caledonia/20/99-like virus while the other six school outbreaks were due to influenza A (H3N2) viruses which were A/Fujian/411/2002-like).
    Matched MeSH terms: Influenza, Human/epidemiology*
  13. GORDON SMITH CE, THOMSON WG
    Med J Malaya, 1956 Jun;10(4):332-7.
    PMID: 13399536
    Matched MeSH terms: Influenza, Human/epidemiology*
  14. Sam IC, Noraini W, Sandhu SS, Norizah I, Selvanesan S, Thayan R, et al.
    J Med Virol, 2019 03;91(3):498-502.
    PMID: 30199092 DOI: 10.1002/jmv.25313
    Influenza seasonality in equatorial countries is little understood. Seasonal and alert influenza thresholds were determined for Malaysia, using laboratory-based data obtained from the Malaysia Influenza Surveillance System and a major teaching hospital, from 2011 to 2016. Influenza was present year-round, with no clear annual seasons. Variable periods of higher transmission occurred inconsistently, in November to December, January to March, July to September, or a combination of these. These coincide with seasons in the nearby southeast Asian countries or winter seasons of the northern and southern hemispheres. Changes in the predominant circulating influenza type were only sometimes associated with increased transmission. The data can provide public health interventions such as vaccines.
    Matched MeSH terms: Influenza, Human/epidemiology*
  15. Norrulashikin MA, Yusof F, Hanafiah NHM, Norrulashikin SM
    PLoS One, 2021;16(7):e0254137.
    PMID: 34288925 DOI: 10.1371/journal.pone.0254137
    The increasing trend in the number new cases of influenza every year as reported by WHO is concerning, especially in Malaysia. To date, there is no local research under healthcare sector that implements the time series forecasting methods to predict future disease outbreak in Malaysia, specifically influenza. Addressing the problem could increase awareness of the disease and could help healthcare workers to be more prepared in preventing the widespread of the disease. This paper intends to perform a hybrid ARIMA-SVR approach in forecasting monthly influenza cases in Malaysia. Autoregressive Integrated Moving Average (ARIMA) model (using Box-Jenkins method) and Support Vector Regression (SVR) model were used to capture the linear and nonlinear components in the monthly influenza cases, respectively. It was forecasted that the performance of the hybrid model would improve. The data from World Health Organization (WHO) websites consisting of weekly Influenza Serology A cases in Malaysia from the year 2006 until 2019 have been used for this study. The data were recategorized into monthly data. The findings of the study showed that the monthly influenza cases could be efficiently forecasted using three comparator models as all models outperformed the benchmark model (Naïve model). However, SVR with linear kernel produced the lowest values of RMSE and MAE for the test dataset suggesting the best performance out of the other comparators. This suggested that SVR has the potential to produce more consistent results in forecasting future values when compared with ARIMA and the ARIMA-SVR hybrid model.
    Matched MeSH terms: Influenza, Human/epidemiology*
  16. Baral SD, Rucinski KB, Twahirwa Rwema JO, Rao A, Prata Menezes N, Diouf D, et al.
    JMIR Public Health Surveill, 2021 Mar 02;7(3):e24696.
    PMID: 33522974 DOI: 10.2196/24696
    BACKGROUND: SARS-CoV-2 and influenza are lipid-enveloped viruses with differential morbidity and mortality but shared modes of transmission.

    OBJECTIVE: With a descriptive epidemiological framing, we assessed whether recent historical patterns of regional influenza burden are reflected in the observed heterogeneity in COVID-19 cases across regions of the world.

    METHODS: Weekly surveillance data reported by the World Health Organization from January 2017 to December 2019 for influenza and from January 1, 2020 through October 31, 2020, for COVID-19 were used to assess seasonal and temporal trends for influenza and COVID-19 cases across the seven World Bank regions.

    RESULTS: In regions with more pronounced influenza seasonality, COVID-19 epidemics have largely followed trends similar to those seen for influenza from 2017 to 2019. COVID-19 epidemics in countries across Europe, Central Asia, and North America have been marked by a first peak during the spring, followed by significant reductions in COVID-19 cases in the summer months and a second wave in the fall. In Latin America and the Caribbean, COVID-19 epidemics in several countries peaked in the summer, corresponding to months with the highest influenza activity in the region. Countries from regions with less pronounced influenza activity, including South Asia and sub-Saharan Africa, showed more heterogeneity in COVID-19 epidemics seen to date. However, similarities in COVID-19 and influenza trends were evident within select countries irrespective of region.

    CONCLUSIONS: Ecological consistency in COVID-19 trends seen to date with influenza trends suggests the potential for shared individual, structural, and environmental determinants of transmission. Using a descriptive epidemiological framework to assess shared regional trends for rapidly emerging respiratory pathogens with better studied respiratory infections may provide further insights into the differential impacts of nonpharmacologic interventions and intersections with environmental conditions. Ultimately, forecasting trends and informing interventions for novel respiratory pathogens like COVID-19 should leverage epidemiologic patterns in the relative burden of past respiratory pathogens as prior information.

    Matched MeSH terms: Influenza, Human/epidemiology*
  17. Tan DS, Dhillon GS, Omar M, Eapen JS
    Med J Malaya, 1971 Jun;25(4):263-8.
    PMID: 4261297
    Matched MeSH terms: Influenza, Human/epidemiology*
  18. VANREENEN RM, ELISBERG BL, WEBB PA, TRAUB RG, TRAUB R
    J R Army Med Corps, 1960 Jan;106:12-21.
    PMID: 13841274
    Matched MeSH terms: Influenza, Human/epidemiology*
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