Displaying publications 1 - 20 of 80 in total

Abstract:
Sort:
  1. Nasarruddin AM, Saifi RA, Othman S, Kamarulzaman A
    AIDS Care, 2017 May;29(5):533-540.
    PMID: 27530678 DOI: 10.1080/09540121.2016.1220485
    HIV status disclosure plays a crucial role in reducing risk behaviors of drug and sexual partners and thereby limiting HIV transmission. As people who inject drugs (PWID) bear a significant HIV burden and disclosure research among PWID is relatively few, we reviewed the literature to highlight what is known about disclosure among HIV-positive PWID. Searches of articles published from 2000 to 2015 yielded 17 studies addressing different aspects of disclosure, and results are presented by major themes. Our results suggest that despite the difficulties, most PWID (64-86%) disclose their HIV-positive status to trusted individuals (family members and intimate sexual partners) and to those who are known to be HIV-positive. Disclosure to non-intimate sexual partners and fellow drug users is relatively lower. Disclosure decision-making is primarily driven by the perceived positive and negative consequences of disclosure. Subsequent risk reduction practices following disclosure are influenced by the feeling of responsibility, as well as partners' willingness to accept risk. Cultural family values, ethnicity, and different localities were several contextual factors that affect patterns of disclosure and risk behaviors of PWID. Areas for future research are recommended.
    Matched MeSH terms: Epidemics
  2. Ayinla AY, Othman WAM, Rabiu M
    Acta Biotheor, 2021 Sep;69(3):225-255.
    PMID: 33877474 DOI: 10.1007/s10441-020-09406-8
    Tuberculosis has continued to retain its title as "the captain among these men of death". This is evident as it is the leading cause of death globally from a single infectious agent. TB as it is fondly called has become a major threat to the achievement of the sustainable development goals (SDG) and hence require inputs from different research disciplines. This work presents a mathematical model of tuberculosis. A compartmental model of seven classes was used in the model formulation comprising of the susceptible S, vaccinated V, exposed E, undiagnosed infectious I1, diagnosed infectious I2, treated T and recovered R. The stability analysis of the model was established as well as the condition for the model to undergo backward bifurcation. With the existence of backward bifurcation, keeping the basic reproduction number less than unity [Formula: see text] is no more sufficient to keep TB out of the community. Hence, it is shown by the analysis that vaccination program, diagnosis and treatment helps to control the TB dynamics. In furtherance to that, it is shown that preference should be given to diagnosis over treatment as diagnosis precedes treatment. It is as well shown that at lower vaccination rate (0-20%), TB would still be endemic in the population. As such, high vaccination rate is required to send TB out of the community.
    Matched MeSH terms: Epidemics*
  3. Aziz MHN, Safaruddin ADA, Hamzah NA, Supadi SS, Yuhao Z, Aziz MA
    Acta Biotheor, 2022 Nov 17;71(1):2.
    PMID: 36394646 DOI: 10.1007/s10441-022-09453-3
    A modified version of the SEIR model with the effects of vaccination and inter-state movement is proposed to simulate the spread of COVID-19 in Malaysia. A mathematical analysis of the proposed model was performed to derive the basic reproduction number. To enhance the model's forecasting capabilities, the model parameters were estimated using the Nelder-Mead simplex method by fitting the model outputs to the observed data. Our results showed a good fit between the model outputs and available data, where the model was then able to perform short-term predictions. In line with the rapid vaccination program, our model predicted that the COVID-19 cases in the country would decrease by the end of August. Furthermore, our findings indicated that relaxing travel restrictions from a highly vaccinated region to a low vaccinated region would result in an epidemic outbreak.
    Matched MeSH terms: Epidemics*
  4. Dash R, Das R, Junaid M, Akash MF, Islam A, Hosen SZ
    Adv Appl Bioinform Chem, 2017;10:11-28.
    PMID: 28356762 DOI: 10.2147/AABC.S115859
    Ebola virus (EBOV) is one of the lethal viruses, causing more than 24 epidemic outbreaks to date. Despite having available molecular knowledge of this virus, no definite vaccine or other remedial agents have been developed yet for the management and avoidance of EBOV infections in humans. Disclosing this, the present study described an epitope-based peptide vaccine against EBOV, using a combination of B-cell and T-cell epitope predictions, followed by molecular docking and molecular dynamics simulation approach. Here, protein sequences of all glycoproteins of EBOV were collected and examined via in silico methods to determine the most immunogenic protein. From the identified antigenic protein, the peptide region ranging from 186 to 220 and the sequence HKEGAFFLY from the positions of 154-162 were considered the most potential B-cell and T-cell epitopes, correspondingly. Moreover, this peptide (HKEGAFFLY) interacted with HLA-A*32:15 with the highest binding energy and stability, and also a good conservancy of 83.85% with maximum population coverage. The results imply that the designed epitopes could manifest vigorous enduring defensive immunity against EBOV.
    Matched MeSH terms: Epidemics
  5. Mondal MN, Shitan M
    Afr Health Sci, 2013 Jun;13(2):301-10.
    PMID: 24235928 DOI: 10.4314/ahs.v13i2.15
    All over the world the prevalence of Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS) has became a stumbling stone in progress of human civilization and is a huge concern for people worldwide.
    Matched MeSH terms: Epidemics
  6. 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
  7. 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*
  8. 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
  9. Woon YL, Lim MF, Tg Abd Rashid TR, Thayan R, Chidambaram SK, Syed Abdul Rahim SS, et al.
    BMC Infect Dis, 2019 Feb 13;19(1):152.
    PMID: 30760239 DOI: 10.1186/s12879-019-3786-9
    BACKGROUND: A major outbreak of the Zika virus (ZIKV) has been reported in Brazil in 2015. Since then, it spread further to other countries in the Americas and resulted in declaration of the Public Health Emergency of International Concern (PHEIC) by World Health Organization. In 2016, Singapore reported its first minor ZIKV epidemic. Malaysia shares similar ecological environment as Brazil and Singapore which may also favor ZIKV transmission. However, no ZIKV outbreak has been reported in Malaysia to date. This study aimed to discuss all confirmed ZIKV cases captured under Malaysia ZIKV surveillance system after declaration of the PHEIC; and explore why Malaysia did not suffer a similar ZIKV outbreak as the other two countries.

    METHODS: This was an observational study reviewing all confirmed ZIKV cases detected in Malaysia through the ZIKV clinical surveillance and Flavivirus laboratory surveillance between June 2015 and December 2017. All basic demographic characteristics, co-morbidities, clinical, laboratory and outcome data of the confirmed ZIKV cases were collected from the source documents.

    RESULTS: Only eight out of 4043 cases tested positive for ZIKV infection during that period. The median age of infected patients was 48.6 years and majority was Chinese. Two of the subjects were pregnant. The median interval between the onset of disease and the first detection of ZIKV Ribonucleic Acid (RNA) in body fluid was 3 days. Six cases had ZIKV RNA detected in both serum and urine samples. Phylogenetic analysis suggests that isolates from the 7 cases of ZIKV infection came from two clusters, both of which were local circulating strains.

    CONCLUSION: Despite similar ecological background characteristics, Malaysia was not as affected by the recent ZIKV outbreak compared to Brazil and Singapore. This could be related to pre-existing immunity against ZIKV in this population, which developed after the first introduction of the ZIKV in Malaysia decades ago. A serosurvey to determine the seroprevalence of ZIKV in Malaysia was carried out in 2017. The differences in circulating ZIKV strains could be another reason as to why Malaysia seemed to be protected from an outbreak.

    Matched MeSH terms: Epidemics
  10. Chan TC, Hwang JS, Chen RH, King CC, Chiang PH
    BMC Public Health, 2014 Jan 08;14:11.
    PMID: 24400725 DOI: 10.1186/1471-2458-14-11
    BACKGROUND: Severe epidemics of enterovirus have occurred frequently in Malaysia, Singapore, Taiwan, Cambodia, and China, involving cases of pulmonary edema, hemorrhage and encephalitis, and an effective vaccine has not been available. The specific aim of this study was to understand the epidemiological characteristics of mild and severe enterovirus cases through integrated surveillance data.

    METHODS: All enterovirus cases in Taiwan over almost ten years from three main databases, including national notifiable diseases surveillance, sentinel physician surveillance and laboratory surveillance programs from July 1, 1999 to December 31, 2008 were analyzed. The Pearson's correlation coefficient was applied for measuring the consistency of the trends in the cases between different surveillance systems. Cross correlation analysis in a time series model was applied for examining the capability to predict severe enterovirus infections. Poisson temporal, spatial and space-time scan statistics were used for identifying the most likely clusters of severe enterovirus outbreaks. The directional distribution method with two standard deviations of ellipse was applied to measure the size and the movement of the epidemic.

    RESULTS: The secular trend showed that the number of severe EV cases peaked in 2008, and the number of mild EV cases was significantly correlated with that of severe ones occurring in the same week [r = 0.553, p 

    Matched MeSH terms: Epidemics/prevention & control
  11. 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*
  12. 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
  13. Gopinath SCB, Ismail ZH, Sekiguchi K
    Biotechnol Appl Biochem, 2022 Dec;69(6):2507-2516.
    PMID: 34894363 DOI: 10.1002/bab.2300
    The current world condition is dire due to epidemics and pandemics as a result of novel viruses, such as influenza and the coronavirus, causing acute respiratory syndrome. To overcome these critical situations, the current research seeks to generate a common surveillance system with the assistance of a controlled Internet of Things operated under a Gaussian noise channel. To create the model system, a study with an analysis of H1N1 influenza virus determination on an interdigitated electrode (IDE) sensor was validated by current-volt measurements. The preliminary data were generated using hemagglutinin as the target against gold-conjugated aptamer/antibody as the probe, with the transmission pattern showing consistency with the Gaussian noise channel algorithm. A good fit with the algorithmic values was found, displaying a similar pattern to that output from the IDE, indicating reliability. This study can be a model for the surveillance of varied pathogens, including the emergence and reemergence of novel strains.
    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. Che Ismail Che Noh, Fox, Anthony William
    MyJurnal
    Ebola virus disease (EVD) is an emerging and remerging zoonosis associated with high fatality rate, mainly caused by the Zaire Ebola virus (ZEBOV) and Sudan Ebola virus (SEBOV) strains. Approximately 20 epidemics of EVD have been documented mainly in Central African countries since 1976. Currently, there are no therapeutics agents and vaccines yet approved for EVD. However, several promising therapeutics and vaccines candidates are actively undergoing various phase of clinical development. This study aims to study the EVD dynamics and evaluate the potential impacts of vaccines and other preventive measures on EVD transmission control and significance of medical intervention on outcome of the disease. An initial branch chain model of EVD dynamics was built based on data obtained from previous study. Different epidemiological scenarios for EVD with impacts of intervention were simulated using Berkeley-Madonna Version 8.3.18 software. Every reduction in the exposure rate of EBV infection by 10% produces two- to five-fold improvement in protection against EVD. Transmission control is optimum when the rate of exposure to EBV infection is reduced below 1%. Optimal control of EVD transmission can be achieved through strategic implementation of successful vaccination programme, and other preventive measures as well as rapid delivery of supportive medical care.
    Matched MeSH terms: Epidemics
  16. Sharifah, S .H., Suriani, M. N., Hassuzana, K., Aini, I.
    MyJurnal
    Malaysia, experienced two epidemic waves of HPAI; its fi rst outbreak of HP H5N1 in August 2004 that occurred in the state of Kelantan and the second and subsequent outbreaks in February–March 2006 in three states on the west coast of Malaysia namely Wilayah Persekutuan
    Kuala Lumpur, Perak and Penang. Five outbreaks occurred in village chickens and one in a multi-species enclosure of birds in a bird park resort facility. Molecular epidemiological studies by genomic sequencing and phylogenetic analyses of the viruses isolated showed that the
    virus isolated from WP Kuala Lumpur is of the V-genotype and it originated from Hunan China, two viruses were found to be similar to the Fujian/Hunan strains and other viruses were similar to the Vietnam/ Thailand strains.
    Matched MeSH terms: Epidemics
  17. Felsenfeld O
    Bull World Health Organ, 1963;28(3):289-96.
    PMID: 13962884
    The author discusses some of the features of the cholera epidemic caused by El Tor vibrios in 1961-62 in the Western Pacific. The disease originated in the Celebes and spread from there to other parts of Indonesia, to Sarawak and, possibly, to Kwangtung. Hong Kong and Macau were most probably infected from Kwangtung. Subsequently the disease reached the Philippines, progressing from Manila southwards to the other islands, whence it invaded British Borneo. The El Tor epidemic did not differ clinically or epidemiologically from other cholera outbreaks observed during the past decade. The disease attacked poor, under-nourished people living under insanitary conditions. It spread along the coastline and, to a limited extent, along inland waterways. The authorities in the affected territories recommended that the quarantine regulations, sanitary measures and treatment methods used against cholera caused by the so-called "true" cholera vibrios be applied also to cholera caused by El Tor vibrios.
    Matched MeSH terms: Epidemics*
  18. Kow CS, Hasan SS
    Clin Med (Lond), 2021 Jan;21(1):e117.
    PMID: 33479096 DOI: 10.7861/clinmed.Let.21.1.3
    Matched MeSH terms: Epidemics*
  19. Liang Y, Ahmad Mohiddin MN, Bahauddin R, Hidayatul FO, Nazni WA, Lee HL, et al.
    Comput Math Methods Med, 2019;2019:1923479.
    PMID: 31481976 DOI: 10.1155/2019/1923479
    In this paper, we will start off by introducing the classical Ross-Macdonald model for vector-borne diseases which we use to describe the transmission of dengue between humans and Aedes mosquitoes in Shah Alam, which is a city and the state capital of Selangor, Malaysia. We will focus on analysing the effect of using the Mosquito Home System (MHS), which is an example of an autodissemination trap, in reducing the number of dengue cases by changing the Ross-Macdonald model. By using the national dengue data from Malaysia, we are able to estimate λ, which represents the initial growth rate of the dengue epidemic, and this allows us to estimate the number of mosquitoes in Malaysia. A mathematical expression is also constructed which allows us to estimate the potential number of breeding sites of Aedes mosquitoes. By using the data available from the MHS trial carried out in Section 15 of Shah Alam, we included the potential effect of the MHS into the dengue model and thus modelled the impact MHS has on the spread of dengue within the trial area. We then extended our results to analyse the effect of the MHSs on reducing the number of dengue cases in the whole of Malaysia. A new model was constructed with a basic reproduction number, R0,MalaMHS, which allows us to identify the required MHSs coverage needed to achieve extinction in Malaysia. Numerical simulations and tables of results were also produced to illustrate our results.
    Matched MeSH terms: Epidemics
  20. 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
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links