Displaying publications 121 - 140 of 4214 in total

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  1. Razali S, Tukhvatullina D, Hashim NA, Raduan NJN, Anne SJ, Ismail Z, et al.
    East Asian Arch Psychiatry, 2022 Dec;32(4):82-88.
    PMID: 36578182 DOI: 10.12809/eaap2204
    OBJECTIVES: To determine the prevalence of depression and the sociodemographic factors associated with depression in Malaysia during the COVID-19 pandemic METHODS. This study is part of the COVID-19 Mental Health International Study to collect data on the impact of the pandemic on mental health through an online survey. People who were aged ≥18 years, able to read Malay or English, had access to the internet, and consented to participate were asked to complete a pro forma questionnaire to collect their sociodemographic data. The presence of distress and depression was assessed using the English or Malay version of the Center for Epidemiologic Studies Depression Scale.

    RESULTS: Of 963 participants, 451 (46.8%) had depression and 512 (53.2%) had no depression who were either normal (n = 169, 17.5%) or had distress (n = 343, 35.6%). Participants had higher odds of having depression when living with two people (adjusted odds ratio [AOR] = 3.896, p = 0.001), three people (AOR = 2.622, p < 0.001) or four people (AOR = 3.135, p < 0.001). Participants with three children had higher odds of having depression (AOR = 2.084, p = 0.008), whereas having only one child was a protective factor for depression (AOR = 0.481, p = 0.01). Participants had higher odds of having depression when self-employed (AOR = 3.825, p = 0.003), retired (AOR = 4.526, p = 0.001), being housekeeper (AOR = 7.478, p = 0.004), not working by choice (AOR = 5.511, p < 0.001), or unemployed (AOR = 3.883, p = 0.009). Participants had higher odds of depression when living in a small town (AOR = 3.193, p < 0.001) or rural area (AOR = 3.467, p < 0.001). Participants with no chronic medical illness had lower odds of having depression (AOR = 0.589, p = 0.008).

    CONCLUSION: In Malaysia during the COVID-19 pandemic, people who are living with two, three, or four people, having three children, living in a small town or rural areas, and having unstable income have higher odds of having depression. Urgent intervention for those at risk of depression is recommended.

    Matched MeSH terms: Malaysia/epidemiology
  2. Sugiarto SR, Natalia D, Mohamad DSA, Rosli N, Davis WA, Baird JK, et al.
    Sci Rep, 2022 Nov 03;12(1):18546.
    PMID: 36329096 DOI: 10.1038/s41598-022-21570-0
    The simian parasite Plasmodium knowlesi is the predominant species causing human malaria infection, including hospitalisations for severe disease and death, in Malaysian Borneo. By contrast, there have been only a few case reports of knowlesi malaria from Indonesian Borneo. This situation seems paradoxical since both regions share the same natural macaque hosts and Anopheles mosquito vectors, and therefore have a similar epidemiologically estimated risk of infection. To determine whether there is a true cross-border disparity in P. knowlesi prevalence, we conducted a community-based malaria screening study using PCR in Kapuas Hulu District, West Kalimantan. Blood samples were taken between April and September 2019 from 1000 people aged 6 months to 85 years attending health care facilities at 27 study sites within or close to jungle areas. There were 16 Plasmodium positive samples by PCR, five human malarias (two Plasmodium vivax, two Plasmodium ovale and one Plasmodium malariae) and 11 in which no species could be definitively identified. These data suggest that, if present, simian malarias including P. knowlesi are rare in the Kapuas Hulu District of West Kalimantan, Indonesian Borneo compared to geographically adjacent areas of Malaysian Borneo. The reason for this discrepancy, if confirmed in other epidemiologically similar regions of Indonesian Borneo, warrants further studies targeting possible cross-border differences in human activities in forested areas, together with more detailed surveys to complement the limited data relating to monkey hosts and Anopheles mosquito vectors in Indonesian Borneo.
    Matched MeSH terms: Malaysia/epidemiology
  3. Johar H, Schaefer A, Su TT
    Prev Med, 2023 Feb;167:107390.
    PMID: 36528114 DOI: 10.1016/j.ypmed.2022.107390
    The potential role of psychological distress as the pathway linking diabetes and subjective cognitive decline (SCD) is still unclear. This study aims to investigate whether depressive symptoms mediate the relationship between diabetes and SCD in older adults. Baseline data from 3428 adults (55-94 years) of the South East Asia Community Observatory (SEACO), Malaysia were utilized. Subjective cognitive complaints (SCC) were recorded at baseline and five years later. Mediation analyses with non-parametric bootstrapping methods were employed. A proportion of 20% of participants without SCC at baseline reported a decline in SCC after 5 years of follow-up. Known diabetes (β = -0.13, SE = 0.05, p = 0.02) and depressive symptoms (ß = -0.18, SE = 0.05, p = 0.001) were independently associated with SCD. Previously diagnosed diabetes was associated with depressive symptoms at baseline (ß = 0.04, SE = 0.02, p = 0.01), and greater SCD at follow-up (β = -0.19, SE = 0.06, p = 0.001). Mediation analyses revealed that 9% of the association between diabetes and SCD was attributable to an indirect effect through depressive symptoms (ß = -0.01, 95% CI 0.02-0.001, p 
    Matched MeSH terms: Malaysia/epidemiology
  4. Ameen SA, Norasyikin AW, Dina HN, Zara MNF, Tyler R, Asma A
    Int Tinnitus J, 2022 Dec 01;26(2):89-94.
    PMID: 36724354 DOI: 10.5935/0946-5448.20220013
    OBJECTIVES: To determine the prevalence of tinnitus in Type 1 Diabetes Mellitus (T1DM) patients, to evaluate its severity and to correlate it with estimated Glomerular Filtration Rate (eGFR) as well as glycaemia control (HbA1c).

    MATERIAL AND METHODS: We performed a questionnaire-based cross-sectional study at Hospital Canselor Tuanku Muhriz (HCTM) from a period of 15 months. A total of 133 T1DM patients who fulfilled our study's criteria were subjected to otoscopy examination, tuning fork test and free field voice test. The mini-Tinnitus Questionnaire (TQ) was used to assess the severity of tinnitus. We were careful to categorize the perceived duration of tinnitus.

    RESULTS: The prevalence of tinnitus among T1DM patients was 24.1% (32/133 patients). Out of 32 patients, approximately 78.1% (25 patients) had a compensated level of tinnitus distress and the remaining 21.9% (7/32) had moderate tinnitus. The duration of tinnitus ranged from 2 seconds to 2 minutes, whıch was ringing and intermittent in nature. The HbA1c and estimated Glomerular Filtration Rate (eGFR) were higher in tinnitus compared to the non-tinnitus group. There was no significant correlation between the severity of tinnitus and HbA1c level or eGFR.

    CONCLUSIONS: Our study concluded that tinnitus amongst T1DM patients was likely to be non-pathological in view of its short duration with minimal to no distress to the sufferers. An elevated HbA1c may increase the risk of developıng tinnitus.

    Matched MeSH terms: Malaysia/epidemiology
  5. Norain A, Sutan R, Azmi MT, Rozita AR
    Med J Malaysia, 2023 Jan;78(1):25-31.
    PMID: 36715187
    INTRODUCTION: The under-five mortality (U5M) trend in Malaysia significantly declined from 30.0 per 1000 live births (1980) to 8.0 per 1000 live births (2004), and the trend plateaued over the next two decades. Stillbirths and neonatal deaths were the major contributors to U5M. Scarce literature addressing factors associated with preventable U5M in Malaysia. The objective of this study was to describe preventable stillbirths and neonatal mortality, the associated factors and recommendation for improvement.

    MATERIALS AND METHODS: The U5M surveillance data from 2015 to 2017 was retrieved for Malaysian cases of stillbirths and neonatal deaths with multiple pregnancies as exclusion. Stillbirth and neonatal death cases were analysed descriptively for socio-demographic and clinical characteristics. Logistic regressions were performed to identify the associated factors.

    RESULTS: There were 15,444 cases selected for analysis, of which 55% of stillbirths and 45% of neonatal deaths. There were 21% of preventable deaths (U5M) and the major contributing causes of preventable stillbirths and neonatal deaths were classified as perinatal death (82.5%), infectious and parasitic diseases (4.1%) and congenital malformations (3.5%). The birth weight (aOR 6.03, 95% CI: 4.14-8.79), hypertensive mother (aOR 1.88, 95% CI: 1.66-2.12) and instrumental delivery (aOR 1.64, 95% CI: 1.16-2.31) were significantly associated with preventable stillbirths and neonatal deaths. Higher household income (>RM3000 per month) was noted as a protective factor (aOR 0.79, 95% CI:0.69,0.89). Mothers with ethnicities other thanBumiputera, single mothers and housewives were identified as the group of mothers with higher odds of poor perinatal services. Among the 3242 cases of preventable stillbirths and neonatal deaths with a complete documented level of adequacy and quality of healthcare, the most frequently identified factors were due to insufficient antenatal care (ANC) (20.4%), non-compliance with medical advice (12.3%) and unsuitable place of delivery (8.6%).

    CONCLUSION: Increasing trend of preventable stillbirths and neonatal deaths was noted over 3 years (2015-2017), and one-fifth was related to insufficient ANC service-related factors. Remedial measures in improving the quality of ANC services with an emphasis on the targeted high-risk maternal socio-demographic group (other Bumiputera, older antenatal mothers, nonmarried, poor family income neglected family) and enhancing ANC competency skills among the healthcare provider through adequate training are required to decrease preventable stillbirths and neonatal deaths in Malaysia.

    Matched MeSH terms: Malaysia/epidemiology
  6. 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: Malaysia/epidemiology
  7. Lourdes EY, Low VL, Izwan-Anas N, Dawood MM, Sofian-Azirun M, Takaoka H, et al.
    Parasitol Int, 2023 Jun;94:102733.
    PMID: 36693472 DOI: 10.1016/j.parint.2023.102733
    Mermithids are the most common parasites of black flies and are associated with host feminization and sterilization in infected hosts. However, information on the species / lineage of black fly mermithids in Southeast Asia, including Malaysia requires further elucidation. In this study, mermithids were obtained from black fly larvae collected from 138 freshwater stream sites across East and West Malaysia. A molecular approach based on nuclear-encoded 18S ribosomal RNA (18S rRNA) gene was used to identify the species identity / lineage of 77 nematodes successfully extracted and sequenced from the specimens collected. Maximum likelihood and neighbor-joining phylogenetic analyses demonstrated five distinct mermithid lineages. Four species delimitation analyses: automated simultaneous analysis phylogenetics (ASAP), maximum likelihood Poisson tree processes with Bayesian inferences (bPTP_ML), generalized mixed yule coalescent (GMYC) and single rate Poisson tree processes (PTP) were applied to delimit the species boundaries of mermithid lineages in this data set along with genetic distance analysis. Data analysis supports five distinct lineages or operational taxonomic units for mermithids in the present study, with two requiring further investigation as they may represent intraspecific variation or closely related taxa. One mermithid lineage was similar to that previously observed in Simulium nigrogilvum from Thailand. Co-infection with two mermithids of different lineages was observed in one larva of Simulium trangense. This study represents an important first step towards exploring other aspects of host - parasite interactions in black fly mermithids.
    Matched MeSH terms: Malaysia/epidemiology
  8. Rowland R, Chia RCJ, Liew VK
    PLoS One, 2023;18(1):e0277252.
    PMID: 36719865 DOI: 10.1371/journal.pone.0277252
    This paper examines the impact of non-pharmaceutical intervention by government on stock market return as well as volatility. Using daily Malaysian equity data from January 28, 2020 to May 31, 2022, the regression analysis with bootstrapping technique reveals that the government's response in combating the deadly virus through Stringency index has shown a positive direct effect on both stock market returns and volatility, and indirect negative effect on stock market returns. The study revealed that international travel restriction and cancelling public events are the major contributors to the growth of volatility when estimated for Malaysia stock market index. On the one hand, heterogenous impact is expected from the perspective of different sectors when the individual social distancing measures were taken into account in determining stock return and volatility. Apart from that, the robustness check for the main findings remains intact in majority of the regression models after incorporating daily COVID-19 death rate, log (daily vaccination) and day-of-the-week effect as additional control variable in alternative.
    Matched MeSH terms: Malaysia/epidemiology
  9. Al-Hussein WA, Li W, Por LY, Ku CS, Alredany WHD, Leesri T, et al.
    Int J Environ Res Public Health, 2022 Sep 07;19(18).
    PMID: 36141497 DOI: 10.3390/ijerph191811224
    The spread of the novel coronavirus COVID-19 resulted in unprecedented worldwide countermeasures such as lockdowns and suspensions of all retail, recreational, and religious activities for the majority of 2020. Nonetheless, no adequate scientific data have been provided thus far about the impact of COVID-19 on driving behavior and road safety, especially in Malaysia. This study examined the effect of COVID-19 on driving behavior using naturalistic driving data. This was accomplished by comparing the driving behaviors of the same drivers in three periods: before COVID-19 lockdown, during COVID-19 lockdown, and after COVID-19 lockdown. Thirty people were previously recruited in 2019 to drive an instrumental vehicle on a 25 km route while recording their driving data such as speed, acceleration, deceleration, distance to vehicle ahead, and steering. The data acquisition system incorporated various sensors such as an OBDII reader, a lidar, two ultrasonic sensors, an IMU, and a GPS. The same individuals were contacted again in 2020 to drive the same vehicle on the same route in order to capture their driving behavior during the COVID-19 lockdown. Participants were approached once again in 2022 to repeat the procedure in order to capture their driving behavior after the COVID-19 lockdown. Such valuable and trustworthy data enable the assessment of changes in driving behavior throughout the three time periods. Results showed that drivers committed more violations during the COVID-19 lockdown, with young drivers in particular being most affected by the traffic restrictions, driving significantly faster and performing more aggressive steering behaviors during the COVID-19 lockdown than any other time. Furthermore, the locations where the most speeding offenses were committed are highlighted in order to provide lawmakers with guidance on how to improve traffic safety in those areas, in addition to various recommendations on how to manage traffic during future lockdowns.
    Matched MeSH terms: Malaysia/epidemiology
  10. Jayaraj VJ, Hoe VCW
    Int J Environ Res Public Health, 2022 Dec 15;19(24).
    PMID: 36554768 DOI: 10.3390/ijerph192416880
    HFMD is a viral-mediated infectious illness of increasing public health importance. This study aimed to develop a forecasting tool utilizing climatic predictors and internet search queries for informing preventive strategies in Sabah, Malaysia. HFMD case data from the Sabah State Health Department, climatic predictors from the Malaysia Meteorological Department, and Google search trends from the Google trends platform between the years 2010-2018 were utilized. Cross-correlations were estimated in building a seasonal auto-regressive moving average (SARIMA) model with external regressors, directed by measuring the model fit. The selected variables were then validated using test data utilizing validation metrics such as the mean average percentage error (MAPE). Google search trends evinced moderate positive correlations to the HFMD cases (r0-6weeks: 0.47-0.56), with temperature revealing weaker positive correlations (r0-3weeks: 0.17-0.22), with the association being most intense at 0-1 weeks. The SARIMA model, with regressors of mean temperature at lag 0 and Google search trends at lag 1, was the best-performing model. It provided the most stable predictions across the four-week period and produced the most accurate predictions two weeks in advance (RMSE = 18.77, MAPE = 0.242). Trajectorial forecasting oscillations of the model are stable up to four weeks in advance, with accuracy being the highest two weeks prior, suggesting its possible usefulness in outbreak preparedness.
    Matched MeSH terms: Malaysia/epidemiology
  11. Mohamad Muhit AM, Sy-Cherng Woon L, Nik Mhd Nor NS, Sidi H, Mohd Kalok AH, Kampan NC, et al.
    Int J Environ Res Public Health, 2022 Nov 23;19(23).
    PMID: 36497627 DOI: 10.3390/ijerph192315545
    BACKGROUND: Sexual dysfunction is a major issue among gynaecological cancer survivors. This study aimed to evaluate the prevalence of sexual dysfunction among survivors of gynaecological cancer in Malaysia and to determine its risk factors.

    METHODS: A cross-sectional study was conducted of 116 married women with gynaecological cancer who attended the gynaeoncology and oncology clinics at Universiti Kebangsaan Malaysia Medical Centre (UKMMC). Sociodemographic and clinical data were collected. Sexual dysfunction was measured using the Malay Version Female Sexual Function Index (MVFSFI). Univariate and multivariate logistic regression analyses were used to determine the risk factors of female sexual dysfunction.

    RESULTS: The prevalence of sexual dysfunction among gynaecological cancer survivors was 60% (70 out of 116). Sexual dissatisfaction was the most prevalent domain of sexual dysfunction at 68.1%. Sexual dysfunction was significantly associated with low education levels (Primary level, AOR = 4.92, 95% CI: 1.12-21.63; secondary level, AOR = 4.06, 95% CI: 1.14-14.44). Non-Malays were significantly more likely to have sexual dysfunction compared with Malays (AOR = 3.57, 95% CI: 1.16-11.06). In terms of treatment, combinations of surgery and radiotherapy (AOR = 4.66, 95% CI: 1.01-21.47) as well as surgery and chemoradiation (AOR = 5.77, 95% CI: 1.20-27.85) were considered.

    CONCLUSIONS: Gynaecological cancer survivors with lower education levels, non-Malay ethnicity, and receiving treatment combinations of surgery and radiotherapy or surgery and chemoradiation have a higher risk of sexual dysfunction. A holistic approach in managing the various sociocultural and clinical issues is required to prevent sexual dysfunction among these patients.

    Matched MeSH terms: Malaysia/epidemiology
  12. Jayaraj VJ, Chong DW, Wan KS, Hairi NN, Bhoo-Pathy N, Rampal S, et al.
    Sci Rep, 2023 Jan 03;13(1):86.
    PMID: 36596828 DOI: 10.1038/s41598-022-26927-z
    Excess mortalities are a more accurate indicator of true COVID-19 disease burden. This study aims to investigate levels of excess all-cause mortality and their geographic, age and sex distributions between January 2020-September 2021. National mortality data between January 2016 and September 2021 from the Department of Statistics Malaysia was utilised. Baseline mortality was estimated using the Farrington algorithm and data between 1 January 2016 and 31 December 2019. The occurrence of excess all-cause mortality by geographic-, age- and sex-stratum was examined from 1 January 2020 to 30 September 2021. A sub-analysis was also conducted for road-traffic accidents, ethnicity and nationality. Malaysia had a 5.5-23.7% reduction in all-cause mortality across 2020. A reversal is observed in 2021, with an excess of 13.0-24.0%. Excess mortality density is highest between July and September 2021. All states and sexes reported excess trends consistent with the national trends. There were reductions in all all-cause mortalities in individuals under the age of 15 (0.4-8.1%) and road traffic accident-related mortalities (36.6-80.5%). These reductions were higher during the first Movement Control Order in 2020. Overall, there appears to be a reduction in all-cause mortality for Malaysia in 2020. This trend is reversed in 2021, with excess mortalities being observed. Surveillance of excess mortalities can allow expedient detection of aberrant events allowing timely health system and public health responses.
    Matched MeSH terms: Malaysia/epidemiology
  13. Khalil MKN, Abd Razak MA, Tahir FA, Sahril N, Shahein NA, Rezali MS, et al.
    Nutrients, 2023 Mar 20;15(6).
    PMID: 36986223 DOI: 10.3390/nu15061493
    BACKGROUND: Anaemia continues to be a global public health burden affecting all age groups, particularly children. Indigenous people, including the Orang Asli (OA) population in Malaysia, are at risk of anaemia due to the vast disparities in social determinants of health in their population compared to the non-indigenous population.

    OBJECTIVES: This review aimed to identify the prevalence and risk factors of anaemia among OA children in Malaysia and analyse the knowledge gaps.

    METHODS: A systematic search was conducted in PubMed, Cochrane Library, Scopus and Google Scholar databases. This review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) guidelines.

    RESULTS: This review identified six studies involving the participation of OA children from eight subtribes residing in Peninsular Malaysia. The overall prevalence of anaemia among OA children ranged from 21.6 to 80.0%, with iron deficiency anaemia prevalence at 34.0%. The risk factors of anaemia among OA children reported from one study in this review were being younger than ten years old children (AOR 2.11 (95% CI 1.23, 3.63)) and moderate to heavy Ascaris infections (AOR 2.05 (95% CI 1.12, 3.76)). There was no data from OA children from certain age groups and subtribes. Additionally, there is a paucity of data on risk factors for anaemia among OA children from the currently available evidence.

    CONCLUSION: The prevalence of anaemia among OA children poses a moderate to severe public health concern. Therefore, more comprehensive studies in the future are needed to address the gaps identified in this review, primarily regarding anaemia risk factors. This data would encourage policymakers in devising effective national prevention strategies to improve morbidity and mortality among OA children in the future.

    Matched MeSH terms: Malaysia/epidemiology
  14. Chong ZL, Rodzlan Hasani WS, Noor Asari F, Muhammad EN, Mutalip MHA, Robert Lourdes TG, et al.
    Influenza Other Respir Viruses, 2023 Oct;17(10):e13193.
    PMID: 37789877 DOI: 10.1111/irv.13193
    BACKGROUND: From the beginning of the COVID-19 pandemic until mid-October 2020, Malaysia recorded ~15,000 confirmed cases. But there could be undiagnosed cases due mainly to asymptomatic infections. Seroprevalence studies can better quantify underlying infection from SARS-CoV-2 by identifying humoral antibodies against the virus. This study was the first to determine the prevalence of SARS-CoV-2 infection in  Malaysia's general population, as well as the proportion of asymptomatic and undiagnosed infections.

    METHODS: This cross-sectional seroprevalence study with a two-stage stratified random cluster sampling design included 5,131 representative community dwellers in Malaysia aged ≥1 year. Data collection lasted from 7 August to 11 October 2020 involving venous blood sampling and interviews for history of COVID-19 symptoms and diagnosis. Previous SARS-CoV-2 infection was defined as screened positive using the Wantai SARS-CoV-2 Total Antibody enzyme-linked immunosorbent assay and confirmed positive using the GenScript SARS-CoV-2 surrogate Virus Neutralization Test. We performed a complex sampling design analysis, calculating sample weights considering probabilities of selection, non-response rate and post-stratification weight.

    RESULTS: The overall weighted prevalence of SARS-CoV-2 infection was 0.49% (95%CI 0.28-0.85) (N = 150,857). Among the estimated population with past infection, around 84.1% (95%CI 58.84-95.12) (N = 126 826) were asymptomatic, and 90.1% (95%CI 67.06-97.58) (N = 135 866) were undiagnosed.

    CONCLUSIONS: Our study revealed a low pre-variant and pre-vaccination seroprevalence of SARS-CoV-2 infection in Malaysia up to mid-October 2020, with a considerable proportion of asymptomatic and undiagnosed cases. This led to subsequent adoption of SARS-CoV-2 antigen rapid test kits to increase case detection rate and to reduce time to results and infection control measures.

    Matched MeSH terms: Malaysia/epidemiology
  15. Mad Tahir NS, Ismail A, Aljunid SM, Abdul Aziz AF, Azzeri A, Alkhodary AA
    PLoS One, 2023;18(11):e0294260.
    PMID: 37971972 DOI: 10.1371/journal.pone.0294260
    BACKGROUND: Influenza is a contagious respiratory illness that can cause life-threatening complications among high-risk groups. Estimating the economic burden of influenza is essential to guide policy-making on influenza vaccination programmes, especially in resource-limited settings. This study aimed to estimate the economic burden of influenza on older adults (those aged ≥60 years) in Malaysia from the provider's perspective.

    METHODS: The main data source in this study was the MY-DRG Casemix database of a teaching hospital in Malaysia. Cases with principal and secondary diagnoses coded in the International Classification of Diseases version 10 (ICD-10) as J09, J10.0, J10.1, J10.8, J11.0, J11.1, J11.8, J12.8, and J12.9, which represent influenza and its complications, were included in the study. The direct cost of influenza at all severity levels was calculated from the casemix data and guided by a clinical pathway developed by experts. The effect of the variations in costs and incidence rate of influenza for both the casemix and clinical pathway costing approaches was assessed with sensitivity analysis.

    RESULTS: A total of 1,599 inpatient and 407 outpatient influenza cases were identified from the MY-DRG Casemix database. Most hospitalised cases were aged <18 years (90.6%), while 77 cases (4.8%) involved older people. Mild, moderate, and severe cases comprised 56.5%, 35.1%, and 8.4% of cases, respectively. The estimated average annual direct costs for managing mild, moderate, and severe influenza were RM2,435 (USD579), RM6,504 (USD1,549), and RM13,282 (USD3,163), respectively. The estimated total annual economic burden of influenza on older adults in Malaysia was RM3.28 billion (USD782 million), which was equivalent to 10.7% of the Ministry of Health Malaysia budget for 2020. The sensitivity analysis indicated that the influenza incidence rate and cost of managing severe influenza were the most important factors influencing the total economic burden.

    CONCLUSIONS: Overall, our results demonstrated that influenza imposes a substantial economic burden on the older Malaysian population. The high cost of influenza suggested that further efforts are required to implement a preventive programme, such as immunisation for older people, to reduce the disease and economic burdens.

    Matched MeSH terms: Malaysia/epidemiology
  16. Abdullah JM, Idris Z, Ghani AR, Lim MS
    J Neurosurg Sci, 2023 Jun;67(3):367-373.
    PMID: 33709663 DOI: 10.23736/S0390-5616.21.05249-8
    BACKGROUND: Traumatic brain injury (TBI) has recently become a major concern for public health care and a socioeconomic burden internationally. Prognostic models are mathematical models developed from specific populations which are used to predict the mortality and unfavorable outcomes especially in trauma centers. Hence, we formulate a study to perform an external validation of the IMPACT and CRASH prognostic models; the CRASH model to predict 14-day mortality and 6-month unfavorable outcome and the IMPACT model to estimate 6-month mortality and unfavorable outcome in a single center cohort of TBI patients in Malaysia.

    METHODS: All patients with traumatic brain injury (mild, moderate, and severe) who were admitted to Queen Elizabeth Hospital from November 1, 2017, to January 31, 2019, were prospectively analyzed through a data collection sheet. The discriminatory power of the models was assessed as area under the receiver operating characteristic curve and calibration was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test and Cox calibration regression analysis.

    RESULTS: We analyzed 281 patients with significant TBI treated in a single neurosurgical center in Malaysia over a 2-year period. The overall observed 14-day mortality was 9.6%, a 6-month unfavorable outcome of 23.5%, and a 6-month mortality of 13.2%. Overall, both the CRASH and IMPACT models showed good discrimination with AUCs ranging from 0.88 to 0.94 and both models calibrating satisfactorily H-L GoF P>0.05 and calibration slopes >1.0 although IMPACT seemed to be slightly more superior compared to the CRASH model.

    CONCLUSIONS: The CRASH and IMPACT prognostic models displayed satisfactory overall performance in our cohort of TBI patients, but further investigations on factors contributing to TBI outcomes and continuous updating on both models remain crucial.

    Matched MeSH terms: Malaysia/epidemiology
  17. Cheah PK, Jalloh MB, Cheah PK, Ongkili D, Schneiders ML, Osterrieder A, et al.
    BMC Public Health, 2023 Jun 06;23(1):1085.
    PMID: 37280573 DOI: 10.1186/s12889-023-15892-5
    BACKGROUND: A nationwide Movement Control Order (MCO) was enforced in Malaysia on 18 March 2020 in view of the global COVID-19 pandemic. Malaysia implemented various public health measures and later raced against time to administer COVID-19 vaccines when they became available. As a result of various public health measures to curb the spread of the virus, people in Malaysia faced unprecedented circumstances and new challenges. This study addressed the knowledge gap in our understanding the experiences, coping strategies and perspectives of the people in Malaysia about infection countermeasures by investigating their experiences during the COVID-19 pandemic.

    METHODS: A sequential mixed method approach was used to conduct an online survey and in-depth interviews among residents in Malaysia. A total of 827 respondents participated in the online survey from 1st May to 30th June 2020. Nineteen in-depth interviews were conducted online and by phone with key informants and members of the public, who were selected through maximum variation purposive sampling between 2nd May 2020 to 20th December 2021. The semi-structured interviews employed a phenomenological approach and transcripts were analysed using thematic analysis. The survey data were analysed using descriptive statistics in Stata 15.0.

    RESULTS: The survey reflected significant economic impacts of the pandemic, the maximum number of days that people could cope during the MCO, and their coping strategies, which generally entailed changes in lifestyle. The internet and social media were vital platforms to mitigate against the impact of public health measures. Thematic analysis of the interview data revealed participant experiences and perceptions of COVID-19 and public health measures in four main themes: (1) work and business; (2) emotional impact (3) coping with change and (4) the COVID-19 vaccine.

    CONCLUSIONS: This study provides insights into the experiences, coping strategies and perspectives of people in Malaysia living through the first-ever MCO during the COVID-19 pandemic. Such insights into COVID-19-related public health measures are pertinent for successfully planning and implementing future responses to pandemics.

    Matched MeSH terms: Malaysia/epidemiology
  18. Alias NNA, Omar S, Ahmad NI, Watanabe M, Tay ST, Aziz NA, et al.
    J Vet Sci, 2023 May;24(3):e38.
    PMID: 37271506 DOI: 10.4142/jvs.22277
    BACKGROUND: Poor disease management and irregular vector control could predispose sheltered animals to disease such as feline Bartonella infection, a vector-borne zoonotic disease primarily caused by Bartonella henselae.

    OBJECTIVES: This study investigated the status of Bartonella infection in cats from eight (n = 8) shelters by molecular and serological approaches, profiling the CD4:CD8 ratio and the risk factors associated with Bartonella infection in shelter cats.

    METHODS: Bartonella deoxyribonucleic acid (DNA) was detected through polymerase chain reaction (PCR) targeting 16S-23S rRNA internal transcribed spacer gene, followed by DNA sequencing. Bartonella IgM and IgG antibody titre, CD4 and CD8 profiles were detected using indirect immunofluorescence assay and flow cytometric analysis, respectively.

    RESULTS: B. henselae was detected through PCR and sequencing in 1.0% (1/101) oral swab and 2.0% (1/50) cat fleas, while another 3/50 cat fleas carried B. clarridgeiae. Only 18/101 cats were seronegative against B. henselae, whereas 30.7% (31/101) cats were positive for both IgM and IgG, 8% (18/101) cats had IgM, and 33.7% (34/101) cats had IgG antibody only. None of the eight shelters sampled had Bartonella antibody-free cats. Although abnormal CD4:CD8 ratio was observed in 48/83 seropositive cats, flea infestation was the only significant risk factor observed in this study.

    CONCLUSIONS: The present study provides the first comparison on the Bartonella spp. antigen, antibody status and CD4:CD8 ratio among shelter cats. The high B. henselae seropositivity among shelter cats presumably due to significant flea infestation triggers an alarm of whether the infection could go undetectable and its potential transmission to humans.

    Matched MeSH terms: Malaysia/epidemiology
  19. Sureshkumar S, Mustapha F, Yusoff H, Mwangi KJ, Marcus K, Kohlbrenner B, et al.
    Int J Public Health, 2023;68:1605861.
    PMID: 37304500 DOI: 10.3389/ijph.2023.1605861
    Objectives: This study assesses the opinions of health professionals in Malaysia on the disruption of non-communicable disease (NCD) services during the COVID-19 pandemic from March 2020 to January 2022. Methods: We conducted a cross-sectional online survey with 191 non-clinical public health workers and clinical health service workers in Malaysia from November 2021 to January 2022. Participants were recruited by the Malaysian Ministry of Health using major networks including key experts and practitioners. Secondary respondents were subsequently enrolled through snowballing. Results: The most notable issues raised by the survey participants relate to NCD service disruption, the redirection of NCD care resources, and NCD care being overburdened post-pandemic. Respondents also reported accounts of resilience and prompt reaction from the healthcare system, as well as calls for innovation. Conclusion: Most respondents perceived that the challenges arising from COVID-19 were mostly managed well by the healthcare system, which was able to provide the necessary services to NCD patients during this health emergency. However, the study identifies gaps in the health system response and preparedness capacity, and highlights solutions for strengthening NCD services.
    Matched MeSH terms: Malaysia/epidemiology
  20. Dass SC, Kwok WM, Gibson GJ, Gill BS, Sundram BM, Singh S
    PLoS One, 2021;16(5):e0252136.
    PMID: 34043676 DOI: 10.1371/journal.pone.0252136
    The second wave of COVID-19 in Malaysia is largely attributed to a four-day mass gathering held in Sri Petaling from February 27, 2020, which contributed to an exponential rise of COVID-19 cases in the country. Starting from March 18, 2020, the Malaysian government introduced four consecutive phases of a Movement Control Order (MCO) to stem the spread of COVID-19. The MCO was implemented through various non-pharmaceutical interventions (NPIs). The reported number of cases reached its peak by the first week of April and then started to reduce, hence proving the effectiveness of the MCO. To gain a quantitative understanding of the effect of MCO on the dynamics of COVID-19, this paper develops a class of mathematical models to capture the disease spread before and after MCO implementation in Malaysia. A heterogeneous variant of the Susceptible-Exposed-Infected-Recovered (SEIR) model is developed with additional compartments for asymptomatic transmission. Further, a change-point is incorporated to model disease dynamics before and after intervention which is inferred based on data. Related statistical analyses for inference are developed in a Bayesian framework and are able to provide quantitative assessments of (1) the impact of the Sri Petaling gathering, and (2) the extent of decreasing transmission during the MCO period. The analysis here also quantitatively demonstrates how quickly transmission rates fall under effective NPI implementation within a short time period. The models and methodology used provided important insights into the nature of local transmissions to decision makers in the Ministry of Health, Malaysia.
    Matched MeSH terms: Malaysia/epidemiology
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