Displaying publications 41 - 60 of 80 in total

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  1. Ahmed SI, Syed Sulaiman SA, Hassali MA, Thiruchelvam K, Hasan SS, Lee CK
    J Infect Prev, 2017 Sep;18(5):242-247.
    PMID: 29317901 DOI: 10.1177/1757177416689723
    Background: Understanding patients' perspective towards HIV screening in Malaysia is pivotal to explore challenges faced by these individuals. This would be beneficial for developing local plans to improve the health-seeking behaviours among population at risk of HIV/AIDS.

    Methods: A qualitative research methodology was adopted to explore HIV/AIDS patients' views about disease screening. A semi-structured interview guide was used for in-depth patient interviews. All interviews were audio-recorded and were subjected to a standard content analysis framework for data analysis.

    Results: Most patients were positive about screening and the value of knowing about their status early. However, fear of social stigma, discrimination, lack of support system and lack of public understanding were identified as major concerns affecting their willingness to be screened. They were concerned about mandatory screening being implemented without improvement in support system and public education.

    Conclusions: Reluctance to seek HIV screening is an important factor contributing to transmission in developing countries. In the Malaysian context, efforts should be made to strengthen screening strategies especially in the most-at-risk populations to monitor the epidemic and target prevention strategies.

    Practice implications: In a multicultural context, HIV preventive strategies must include disease awareness, including measure to tackle barriers towards screening.

    Matched MeSH terms: Epidemics
  2. Lee SP
    MyJurnal
    This study focused on drug epidemic in Selangor for 3 consecutive years (2016-2018). Hospital Tengku Ampuan Rahimah (HTAR) analysed an estimate of 12988 samples for drug abuse (opiates and cannabinoids) from 2016 until 2018. Being the centre for receiving samples collected by Police and National Anti-Drug agencies in Southwest Selangor, these areas were combed for analytical study of habitual abusers, their age-related patterns and ethnic origins for better understanding and planning for advocates of control.
    Matched MeSH terms: Epidemics
  3. Besari AM, Md Noor SS, Lee YY
    Malays J Med Sci, 2014 Nov-Dec;21(6):9-13.
    PMID: 25897277 MyJurnal
    The recent death tolls and morbidities associated with two deadly viral haemorrhagic fevers (VHFs), i.e., Ebola and dengue, are simply shocking. By the end of August 2014, 65 672 people were afflicted with dengue fever (DF) in Malaysia, with 9505 from Kelantan, and there were 128 reported deaths. More astounding are the death tolls associated with Ebola: 3091 deaths from 6574 reported cases so far. It is not difficult to imagine the potential disaster if Ebola spreads beyond Africa. VHFs are characterised by an acute onset of fever, vascular disruption and a rapid progression to shock and death. The revised World Health Organization (WHO) 2012 classification (dengue with and without warning signs and severe dengue) is more clinically relevant and allows more streamlined admission. With good administrative support and public health and governmental efforts, the dengue epidemic in Malaysia is now more contained. However, there should be no laxity with the imminent lethal Ebola threat. Human-to-human transmission is an important mechanism for the spread of Ebola, and this calls for strict precautions regarding contact with any suspected cases. In contrast, the control and elimination of dengue would require successful control of the vectors and their breeding sites.
    Matched MeSH terms: Epidemics
  4. Junejo AR, Kaabar MKA, Li X
    Comput Math Methods Med, 2021;2021:9949328.
    PMID: 34938362 DOI: 10.1155/2021/9949328
    Developing new treatments for emerging infectious diseases in infectious and noninfectious diseases has attracted a particular attention. The emergence of viral diseases is expected to accelerate; these data indicate the need for a proactive approach to develop widely active family specific and cross family therapies for future disease outbreaks. Viral disease such as pneumonia, severe acute respiratory syndrome type 2, HIV infection, and Hepatitis-C virus can cause directly and indirectly cardiovascular disease (CVD). Emphasis should be placed not only on the development of broad-spectrum molecules and antibodies but also on host factor therapy, including the reutilization of previously approved or developing drugs. Another new class of therapeutics with great antiviral therapeutic potential is molecular communication networks using deep learning autoencoder (DL-AEs). The use of DL-AEs for diagnosis and prognosis prediction of infectious and noninfectious diseases has attracted a particular attention. MCN is map to molecular signaling and communication that are found inside and outside the human body where the goal is to develop a new black box mechanism that can serve the future robust healthcare industry (HCI). MCN has the ability to characterize the signaling process between cells and infectious disease locations at various levels of the human body called point-to-point MCN through DL-AE and provide targeted drug delivery (TDD) environment. Through MCN, and DL-AE healthcare provider can remotely measure biological signals and control certain processes in the required organism for the maintenance of the patient's health state. We use biomicrodevices to promote the real-time monitoring of human health and storage of the gathered data in the cloud. In this paper, we use the DL-based AE approach to design and implement a new drug source and target for the MCN under white Gaussian noise. Simulation results show that transceiver executions for a given medium model that reduces the bit error rate which can be learned. Then, next development of molecular diagnosis such as heart sounds is classified. Furthermore, biohealth interface for the inside and outside human body mechanism is presented, comparative perspective with up-to-date current situation about MCN.
    Matched MeSH terms: Epidemics
  5. Lin YP, Luo Y, Chen Y, Lamers MM, Zhou Q, Yang XH, et al.
    BMC Infect Dis, 2016;16:102.
    PMID: 26932451 DOI: 10.1186/s12879-016-1379-4
    Dengue virus is transmitted by mosquito around the tropical and sub-tropical regions. There was a large-scale dengue epidemic in Guangdong province, China during 2014 and around fifty thousands dengue fever cases, including six deaths, have been reported. In this study, we aimed to understand the clinical characteristics of hospitalized patients with laboratory-confirmed dengue virus (DENV) infection and determined the origin of the virus from the outbreak.
    Matched MeSH terms: Epidemics
  6. Binns C, Low WY
    Asia Pac J Public Health, 2021 05;33(4):333-334.
    PMID: 33938291 DOI: 10.1177/10105395211012844
    Matched MeSH terms: Epidemics*
  7. Malik HAM, Abid F, Mahmood N, Wahiddin MR, Malik A
    Healthc Inform Res, 2019 Jul;25(3):182-192.
    PMID: 31406610 DOI: 10.4258/hir.2019.25.3.182
    Objectives: Dengue epidemic is a dynamic and complex phenomenon that has gained considerable attention due to its injurious effects. The focus of this study is to statically analyze the nature of the dengue epidemic network in terms of whether it follows the features of a scale-free network or a random network.

    Methods: A multifarious network of Aedes aegypti is addressed keeping the viewpoint of a complex system and modelled as a network. The dengue network has been transformed into a one-mode network from a two-mode network by utilizing projection methods. Furthermore, three network features have been analyzed, the power-law, clustering coefficient, and network visualization. In addition, five methods have been applied to calculate the global clustering coefficient.

    Results: It has been observed that dengue epidemic follows a power-law, with the value of its exponent γ = -2.1. The value of the clustering coefficient is high for dengue cases, as weight of links. The minimum method showed the highest value among the methods used to calculate the coefficient. Network visualization showed the main areas. Moreover, the dengue situation did not remain the same throughout the observed period.

    Conclusions: The results showed that the network topology exhibits the features of a scale-free network instead of a random network. Focal hubs are highlighted and the critical period is found. Outcomes are important for the researchers, health officials, and policy makers who deal with arbovirus epidemic diseases. Zika virus and Chikungunya virus can also be modelled and analyzed in this manner.

    Matched MeSH terms: Epidemics
  8. Choo MM, Grigg J, Barnes EH, Khaliddin N, Kamalden TA, Ahmad Kamar A, et al.
    BMJ Open Ophthalmol, 2021;6(1):e000626.
    PMID: 33768163 DOI: 10.1136/bmjophth-2020-000626
    Objective: An ongoing third epidemic of retinopathy of prematurity (ROP) is contributed largely by developing nations. We describe a cohort of infants in a single neonatal unit where two limits of oxygen saturation were administered, to show real-world outcomes from trend in neonatology for higher oxygen to improve survival.

    Methods and analysis: This retrospective, comparative study of prospectively collected data in an ROP screening programme included infants indicated by gestational age ≤32 weeks, birth weight <1501 g, ventilation for 7 days or requiring oxygen >1 month, who underwent dilated fundoscopic examination from age 4 weeks, every 2 weeks until full retinal vascularisation. Infants with ROP were examined weekly and treated where indicated. Data were divided into two epochs. Epoch 1 oxygen saturation targets were [88-92%], epoch 2 targets [90-95% (99%)] with allowance of increase to 20% for several hours after procedures. Outcome measures included development of ROP, treatment, mortality, sepsis and intraventricular haemorrhage.

    Results: A total of 651 infants underwent examination between 2003 and 2016. The incidence of ROP in epoch 1 was 29.1% and epoch 2 was 29.3% (p=0.24). ROP progression doubled in epoch 2 (5 vs 11%, p=0.006), proportion of cases treated halved (14% vs 6%, p=0.0005), sepsis was halved (78.5% vs 41.2%, p<0.0001) and intraventricular haemorrhage doubled (20.2% vs 43.8%, p=0.0001) in epoch 2. Mortality was 4% and 0% in epochs 1 and 2, respectively.

    Conclusion: Incidence of ROP did not differ, although ROP cases that worsened doubled with higher oxygen targets. ROP cases requiring treatment decreased, as did sepsis and mortality. Intraventricular haemorrhage cases doubled.

    Matched MeSH terms: Epidemics
  9. Ahmad Fuat MS, Mohd Zin F, Mat Yudin Z
    Malays Fam Physician, 2021 Mar 25;16(1):124-128.
    PMID: 33948152 DOI: 10.51866/cr1026
    Type 2 diabetes mellitus (Type 2 DM) is a chronic disease which rise is closely linked to the obesity epidemic and which requires long-term medical attention to limit the development of its wide-ranged complications. Many of these complications arise from the combination of resistance to insulin action, inadequate insulin secretion, and excessive or inappropriate glucagon secretion. The increasing evidence of its remission state has been discussed in the literature. Here we report on a patient with metabolic syndrome who underwent a structured therapeutic lifestyle changes (TLC) therapy which eventually led to remission of Type 2 DM.
    Matched MeSH terms: Epidemics
  10. Zablotska IB, Whittaker B, de Wit J, Kamarulzaman A, Ananworanich J, Wright E, et al.
    Sex Health, 2014 Jul;11(2):97-100.
    PMID: 25017549 DOI: 10.1071/SH14071
    This editorial to the special issue of Sexual Health on antiretroviral-based prevention of HIV infection is dedicated to showcasing research and practice in this area. It aims to promote debate regarding the potential of new antiretroviral-based prevention approaches and the challenges encountered in moving prevention innovations into the community. This special issue covers the breadth of innovative HIV prevention research, including that undertaken in the fields of epidemiology, clinical research, social and behavioural science, public health and policy analysis, and with special emphasis on Asia and the Pacific region. Most importantly, it provides an indication of how the region is progressing towards embracing new prevention approaches to combat HIV epidemics across the region.
    Matched MeSH terms: Epidemics
  11. Sarker MMR, Khan F, Mohamed IN
    Front Pharmacol, 2021;12:610912.
    PMID: 33981215 DOI: 10.3389/fphar.2021.610912
    Dengue, a very widespread mosquito-borne infectious disease caused by Aedes aegypti virus, has been occurring during the monsoons every year. The prevalence and incidence of dengue fever and death due to its complications have been increased drastically in these recent years in Bangladesh, Philippines, Thailand, Brazil, and India. Recently, dengue had spread in an epidemic form in Bangladesh, Thailand, and Philippines. Although the infection affected a large number of people around the world, there is no established specific and effective treatment by synthetic medicines. In this subcontinent, Malaysia could effectively control its incidences and death of patients using alternative medication treatment mainly prepared from Carica papaya L. leaves along with proper care and hospitalization. Papaya leaves, their juice or extract, as well as their different forms of preparation have long been used traditionally for treating dengue fever and its complications to save patients' lives. Although it is recommended by traditional healers, and the general public use Papaya leaves juice or their other preparations in dengue fever, this treatment option is strictly denied by the physicians offering treatment in hospitals in Bangladesh as they do not believe in the effectiveness of papaya leaves, thus suggesting to patients that they should not use them. In Bangladesh, 1,01,354 dengue patients have been hospitalized, with 179 deaths in the year 2019 according to information from the Institute of Epidemiology, Disease Control, and Research as well as the Directorate General of Health Services of Bangladesh. Most of the patients died because of the falling down of platelets to dangerous levels and hemorrhage or serious bleeding. Therefore, this paper aims to critically review the scientific basis and effectiveness of Carica papaya L. leaves in treating dengue fever based on preclinical and clinical reports. Thrombocytopenia is one of the major conditions that is typical in cases of dengue infection. Besides, the infection and impairment of immunity are concerned with dengue patients. This review summarizes all the scientific reports on Carica papaya L. for its ability on three aspects of dengue: antiviral activities, prevention of thrombocytopenia and improvement of immunity during dengue fever.
    Matched MeSH terms: Epidemics
  12. Ariffin MRK, Gopal K, Krishnarajah I, Che Ilias IS, Adam MB, Arasan J, et al.
    Sci Rep, 2021 Oct 20;11(1):20739.
    PMID: 34671103 DOI: 10.1038/s41598-021-99541-0
    Since the first coronavirus disease 2019 (COVID-19) outbreak appeared in Wuhan, mainland China on December 31, 2019, the geographical spread of the epidemic was swift. Malaysia is one of the countries that were hit substantially by the outbreak, particularly in the second wave. This study aims to simulate the infectious trend and trajectory of COVID-19 to understand the severity of the disease and determine the approximate number of days required for the trend to decline. The number of confirmed positive infectious cases [as reported by Ministry of Health, Malaysia (MOH)] were used from January 25, 2020 to March 31, 2020. This study simulated the infectious count for the same duration to assess the predictive capability of the Susceptible-Infectious-Recovered (SIR) model. The same model was used to project the simulation trajectory of confirmed positive infectious cases for 80 days from the beginning of the outbreak and extended the trajectory for another 30 days to obtain an overall picture of the severity of the disease in Malaysia. The transmission rate, β also been utilized to predict the cumulative number of infectious individuals. Using the SIR model, the simulated infectious cases count obtained was not far from the actual count. The simulated trend was able to mimic the actual count and capture the actual spikes approximately. The infectious trajectory simulation for 80 days and the extended trajectory for 110 days depicts that the inclining trend has peaked and ended and will decline towards late April 2020. Furthermore, the predicted cumulative number of infectious individuals tallies with the preparations undertaken by the MOH. The simulation indicates the severity of COVID-19 disease in Malaysia, suggesting a peak of infectiousness in mid-March 2020 and a probable decline in late April 2020. Overall, the study findings indicate that outbreak control measures such as the Movement Control Order (MCO), social distancing and increased hygienic awareness is needed to control the transmission of the outbreak in Malaysia.
    Matched MeSH terms: Epidemics
  13. Syed Sharizman Syed Abdul Rahim, Shamsul Azhar Shah, Zahir Izuan Azhar, Mohammad Saffree Jeffree, Mohd Rohaizat Hassan, Nazarudin Safian
    MyJurnal
    Introduction: Cholera epidemics can produce devastating public health outcomes. Cholera distribution is influenced by temperature, precipitation, elevation, distance to the coastline and oceanic environmental factors such as sea surface temperature, sea surface height and ocean chlorophyll concentration. The purpose of this study is to describe the spatial epidemiology of cholera in the four districts of Sabah. Methods: This is a retrospective review of 4 years (2011 to 2014) data from the districts of Kota Kinabalu, Penampang, Putatan and Papar, Sabah. All reported cases of cholera from those areas are included. Coordinates for locations of the cases are based on home addresses. SPSS v20, ArcGIS v10 and CrimeStat IV were used for data analysis and mapping. Results: Cholera showed several clustering of cases, such as in 2011 and 2014 in Kota Kinabalu. In the year 2011 and 2013, Penampang and Papar districts had the nearest neighbour index of less than 1, but p value was not significant, meaning the pattern did not appear to be significant. Nearest neighbour hierarchical clustering analysis further revealed cholera had 7 clusters, of those 6 were first order and 1 was a second order cluster. Conclusion: Cholera shows disease clustering which could mean it is due to its common point source or localised human to human transmission. Using GIS as a tool may help in surveillance and control of cholera infections.
    Matched MeSH terms: Epidemics
  14. Netto, Marcus
    MyJurnal
    Dengue fever and its fatal complications have made a comeback since its control in the 1990’s. The Flavivirus has evolved into 4 serotypes DEN 1,2,3,4 which can be passed on by the mosquitoes for 7 generations for each serotype. This communicable disease is predominantly confined to urban areas. Quick control of the spread of the disease will prevent it from becoming an epidemic. The two species mosquitoes involved have different behaviours. The Aedes aegypti is an indoor vector which breeds in clean, clear and calm freshwater. The Aedes albopictus is an outdoor breeding mosquito which breeds in stagnant waters. Surveillance of the areas prone to outbreaks is vital. One of the roles of the entomologist is to monitor the vector for resistance to the insecticides. Localities that have been subjected to recurrent outbreaks will have vector which develop resistance to the insecticides used.
    Matched MeSH terms: Epidemics
  15. Rina Syahira Rathuan, Nurzalinda Zalbahar, Norhasmah Sulaiman
    MyJurnal
    Introduction: Obesity in children is a global epidemic issue. Home food environment is an important aspect that may influence children’s body weight status. The aim of this study is to identify the association between socio-de- mographics and home food environment (HFE) factors with body weight status in primary school children in Bangi, Selangor. Methods: There were 398 children (43.5% males and 56.5% females) aged 7-11 years old (mean age of 9.04±1.41 years) and their parents (66.6% mothers and 33.4% fathers) from eight randomly selected primary schools participated in this study. Parents were asked to complete a self-administered questionnaire on socio-demograph- ic background, feeding practices and food availability, while children were interviewed to obtain information on parental styles and physical activity level. Weight and height of children were assessed, and BMI-for-age z-score (BAZ) was calculated by using WHO Anthroplus Software. Results: Overweight and obesity prevalence was 17.8% and 13.1% respectively. A majority of the parents (61.3%) in this study practiced authoritative parenting style. The increased odds of childhood obesity has been found to be associated with an increasing age (OR=1.239, p
    Matched MeSH terms: Epidemics
  16. Pocock NS, Mahmood SS, Zimmerman C, Orcutt M
    BMJ, 2017 11 15;359:j5210.
    PMID: 29141900 DOI: 10.1136/bmj.j5210
    Matched MeSH terms: Epidemics/prevention & control*
  17. Sillitoe I, Bordin N, Dawson N, Waman VP, Ashford P, Scholes HM, et al.
    Nucleic Acids Res, 2021 Jan 08;49(D1):D266-D273.
    PMID: 33237325 DOI: 10.1093/nar/gkaa1079
    CATH (https://www.cathdb.info) identifies domains in protein structures from wwPDB and classifies these into evolutionary superfamilies, thereby providing structural and functional annotations. There are two levels: CATH-B, a daily snapshot of the latest domain structures and superfamily assignments, and CATH+, with additional derived data, such as predicted sequence domains, and functionally coherent sequence subsets (Functional Families or FunFams). The latest CATH+ release, version 4.3, significantly increases coverage of structural and sequence data, with an addition of 65,351 fully-classified domains structures (+15%), providing 500 238 structural domains, and 151 million predicted sequence domains (+59%) assigned to 5481 superfamilies. The FunFam generation pipeline has been re-engineered to cope with the increased influx of data. Three times more sequences are captured in FunFams, with a concomitant increase in functional purity, information content and structural coverage. FunFam expansion increases the structural annotations provided for experimental GO terms (+59%). We also present CATH-FunVar web-pages displaying variations in protein sequences and their proximity to known or predicted functional sites. We present two case studies (1) putative cancer drivers and (2) SARS-CoV-2 proteins. Finally, we have improved links to and from CATH including SCOP, InterPro, Aquaria and 2DProt.
    Matched MeSH terms: Epidemics
  18. HALE JH, PILLAI K
    Med J Malaya, 1956 Dec;11(2):116-8.
    PMID: 13417934
    Matched MeSH terms: Pleurodynia, Epidemic*; Epidemics*
  19. Chan SP, Chui WC, Lo KW, Huang KC, Leyesa ND, Lin WY, et al.
    Asia Pac J Public Health, 2012 Jul;24(4):641-9.
    PMID: 21490107 DOI: 10.1177/1010539511402189
    The increasing prevalence of overweight and obesity worldwide demands increased efforts in the prevention and management of obesity. This article aims to present consensus statements promoting appropriate consumer education and communication programs for weight-loss agents in Asia.
    Matched MeSH terms: Epidemics/prevention & control
  20. Wilder-Smith A, Tissera H, AbuBakar S, Kittayapong P, Logan J, Neumayr A, et al.
    Glob Health Action, 2018;11(1):1549930.
    PMID: 30560735 DOI: 10.1080/16549716.2018.1549930
    BACKGROUND: Dengue fever persists as a major global disease burden, and may increase as a consequence of climate change. Along with other measures, research actions to improve diagnosis, surveillance, prevention, and predictive models are highly relevant. The European Commission funded the DengueTools consortium to lead a major initiative in these areas, and this review synthesises the outputs and findings of this work conducted from 2011 to 2016. Research areas: DengueTools organised its work into three research areas, namely [1] Early warning and surveillance systems; [2] Strategies to prevent dengue in children; and [3] Predictive models for the global spread of dengue. Research area 1 focused on case-studies undertaken in Sri Lanka, including developing laboratory-based sentinel surveillance, evaluating economic impact, identifying drivers of transmission intensity, evaluating outbreak prediction capacity and developing diagnostic capacity. Research area 2 addressed preventing dengue transmission in school children, with case-studies undertaken in Thailand. Insecticide-treated school uniforms represented an intriguing potential approach, with some encouraging results, but which were overshadowed by a lack of persistence of insecticide on the uniforms with repeated washing. Research area 3 evaluated potential global spread of dengue, particularly into dengue-naïve areas such as Europe. The role of international travel, changing boundaries of vectors, developing models of vectorial capacity under different climate change scenarios and strategies for vector control in outbreaks was all evaluated.

    CONCLUDING REMARKS: DengueTools was able to make significant advances in methods for understanding and controlling dengue transmission in a range of settings. These will have implications for public health agendas to counteract dengue, including vaccination programmes.

    OUTLOOK: Towards the end of the DengueTools project, Zika virus emerged as an unexpected epidemic in the central and southern America. Given the similarities between the dengue and Zika viruses, with vectors in common, some of the DengueTools thinking translated readily into the Zika situation.

    Matched MeSH terms: Epidemics
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