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Article ; Online: Prevalence and Associated Factors Related to Tobacco Consumption Among University Students in Malaysia.

Chow, Chui Yi / Hasan, Md Zobaer / Kamil, Anton Abdulbasah

2024 Volume 12, Page(s) 94232

Abstract: Tobacco consumption is one of the major public health concerns worldwide. Moreover, alternative tobacco and nicotine products (ATNPs) are growing in popularity, especially among young adults in the past decade. The study aimed to determine the prevalence ...

Abstract	Tobacco consumption is one of the major public health concerns worldwide. Moreover, alternative tobacco and nicotine products (ATNPs) are growing in popularity, especially among young adults in the past decade. The study aimed to determine the prevalence and associated sociodemographic factors of tobacco consumption among university students. A cross-sectional study was carried out among 338 university students of a private Malaysian university from March to April 2021. Data was collected using a self-administered online questionnaire with items including sociodemographic information, user status of tobacco consumption and types of tobacco product used. Descriptive statistics, Pearson's chi-square test, Fisher's exact test and simple and multiple logistic regression analyses were performed using the IBM SPSS version 26.0 to analyse the data. The prevalence of tobacco consumption in this study was 8.6% and the main tobacco product used was manufactured cigarettes. In Pearson's chi square test and Fisher's exact test, current use of tobacco was significantly associated with nationality, ethnicity, religion, school, current level of education and parents, siblings and friends use of tobacco (
Language	English
Publishing date	2024-03-09
Publishing country	United States
Document type	Journal Article
ZDB-ID	2709692-0
ISSN	2420-8124 ; 2420-8124
ISSN (online)	2420-8124
ISSN	2420-8124
DOI	10.52965/001c.94232
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: The impact of triple doses vaccination and other interventions for controlling the outbreak of COVID-19 cases and mortality in Australia: A modelling study.

Rahman, Azizur / Kuddus, Md Abdul / Paul, Anip Kumar / Hasan, Md Zobaer

Heliyon

2024 Volume 10, Issue 4, Page(s) e25945

Abstract: COVID-19 is a significant public health problem around the globe, including in Australia. Despite this, Australia's Ministry of Health has expanded COVID-19 control measures widely, logistical trials exist, and the disease burden still needs more clarity. ...

Abstract	COVID-19 is a significant public health problem around the globe, including in Australia. Despite this, Australia's Ministry of Health has expanded COVID-19 control measures widely, logistical trials exist, and the disease burden still needs more clarity. One of the best methods to comprehend the dynamics of disease transmission is by mathematical modeling of COVID-19, which also makes it possible to quantify factors in many places, including Australia. In order to understand the dynamics of COVID-19 in Australia, we examine a mathematical modeling framework for the virus in this study. Australian COVID-19 actual incidence data from January to December 2021 was used to calibrate the model. We also performed a sensitivity analysis of the model parameters and found that the COVID-19 transmission rate was the primary factor in determining the basic reproduction number (R0). Gradually influential intervention policies were established, with accurate effect and coverage regulated with the help of COVID-19 experts in Australia. We simulated data for the period from April 2022 to August 2023. To ascertain which of these outcomes is most effective in lowering the COVID-19 burden, we here assessed the COVID-19 burden (as shown by the number of incident cases and mortality) under a range of intervention scenarios. Regarding the policy of single intervention, the fastest and most efficient way to lower the incidence of COVID-19 is via increasing the first-dose immunization rate, while an improved treatment rate for the afflicted population is also helps to lower mortality in Australia. Furthermore, our results imply that integrating more therapies at the same time increases their efficacy, particularly for mortality, which significantly reduced with a moderate effort, while lowering the number of COVID-19 instances necessitates a major and ongoing commitment.
Language	English
Publishing date	2024-02-10
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e25945
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Article ; Online: Impact of the COVID-19 pandemic on child malnutrition in Selangor, Malaysia: A pilot study.

Rahman, Azizur / Othman, Nezza / Kuddus, Md Abdul / Hasan, Md Zobaer

Journal of infection and public health

2024 Volume 17, Issue 5, Page(s) 833–842

Abstract: Background: Child malnutrition risk factors are globally recognized, but the specific impact of the COVID-19 pandemic on the prevalence of child malnutrition, considering socioeconomic burdens and changes in family lifestyles, remains underexplored. ... ...

Abstract	Background: Child malnutrition risk factors are globally recognized, but the specific impact of the COVID-19 pandemic on the prevalence of child malnutrition, considering socioeconomic burdens and changes in family lifestyles, remains underexplored. This study aims to identify the significance of COVID-19-related factors in relation to the prevalence of child malnutrition in Selangor, Malaysia. Methods: Purposive sampling was employed in this pilot study to select the households with under-5 children and, a structured questionnaire was developed to gather data. Chi-squared tests, logistic regression modelling and World Health Organisation AnthroPlus software-based visualization were used for analyses. Results: The present study's findings indicate that demographic and social factors, including 'Citizenship,' 'Type of House,' 'Number of Earning Members,' 'Father's Highest Educational Level,' and 'Number of Children in a Family,' have a statistically significant association with Wasting. Additionally, the mother's 'Highest Educational Level' is found to be linked to underweight prevalence. Within COVID-19 factors, "COVID-19 Impact on Employment/Business" demonstrated significance for both stunting and wasting. Multivariate analysis revealed disparities in childhood malnutrition by gender, age, and factors such as "COVID-19 impact on children's physical activity" and "COVID-19 impact on children's decrease in health over the last two weeks." Conclusions: This study identified COVID-19 factors alongside sociodemographic variables with statistically significant relationships impacting childhood malnutrition in Selangor, Malaysia. The results underscored the substantial influence of the COVID-19 pandemic on child malnutrition prevalence. Decision-makers at family and community levels can benefit by considering these factors in their actions. However, the study's limitation lay in its dataset, urging larger-scale analyses to explore further sub-categories of the examined variables.
MeSH term(s)	Child ; Humans ; Infant ; Pilot Projects ; Child Nutrition Disorders/epidemiology ; Child Nutrition Disorders/etiology ; Malaysia/epidemiology ; Pandemics ; COVID-19/epidemiology ; COVID-19/complications ; Malnutrition/epidemiology ; Malnutrition/complications ; Prevalence ; Risk Factors ; Socioeconomic Factors
Language	English
Publishing date	2024-03-05
Publishing country	England
Document type	Journal Article
ZDB-ID	2467587-8
ISSN	1876-035X ; 1876-0341
ISSN (online)	1876-035X
ISSN	1876-0341
DOI	10.1016/j.jiph.2024.02.019
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Article ; Online: Effect of total population, population density and weighted population density on the spread of Covid-19 in Malaysia.

Wong, Hui Shan / Hasan, Md Zobaer / Sharif, Omar / Rahman, Azizur

PloS one

2023 Volume 18, Issue 4, Page(s) e0284157

Abstract: Since November 2019, most countries across the globe have suffered from the disastrous consequences of the Covid-19 pandemic which redefined every aspect of human life. Given the inevitable spread and transmission of the virus, it is critical to ... ...

Abstract	Since November 2019, most countries across the globe have suffered from the disastrous consequences of the Covid-19 pandemic which redefined every aspect of human life. Given the inevitable spread and transmission of the virus, it is critical to acknowledge the factors that catalyse transmission of the disease. This research investigates the relation of the external demographic parameters such as total population, population density and weighted population density on the spread of Covid-19 in Malaysia. Pearson correlation and simple linear regression were utilized to identify the relation between the population-related variables and the spread of Covid-19 in Malaysia using data from 15th March 2020 to 31st March 2021. As a result, a strong positive significant correlation between the total population and Covid-19 cases was found. However, a weak positive relationship was found between the density variable (population density and weighted population density) and the spread of Covid-19. Our findings suggest that the transmission of Covid-19 during lockdown (Movement Control Order, MCO) in Malaysia was more readily explained by the demographic variable population size, than population density or weighted population density. Thus, this study could be helpful in intervention planning and managing future virus outbreaks in Malaysia.
MeSH term(s)	Humans ; COVID-19/epidemiology ; Malaysia/epidemiology ; Population Density ; SARS-CoV-2 ; Pandemics/prevention & control ; Communicable Disease Control
Language	English
Publishing date	2023-04-27
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0284157
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Determining an effective short term COVID-19 prediction model in ASEAN countries

Omar Sharif / Md Zobaer Hasan / Azizur Rahman

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 11

Abstract: Abstract The challenge of accurately short-term forecasting demand is due to model selection and the nature of data trends. In this study, the prediction model was determined based on data patterns (trend data without seasonality) and the accuracy of ... ...

Abstract	Abstract The challenge of accurately short-term forecasting demand is due to model selection and the nature of data trends. In this study, the prediction model was determined based on data patterns (trend data without seasonality) and the accuracy of prediction measurement. The cumulative number of COVID-19 affected people in some ASEAN countries had been collected from the Worldometers database. Three models [Holt’s method, Wright’s modified Holt’s method, and unreplicated linear functional relationship model (ULFR)] had been utilized to identify an efficient model for short-time prediction. Moreover, different smoothing parameters had been tested to find the best combination of the smoothing parameter. Nevertheless, using the day-to-day reported cumulative case data and 3-days and 7-days in advance forecasts of cumulative data. As there was no missing data, Holt’s method and Wright’s modified Holt’s method showed the same result. The text-only result corresponds to the consequences of the models discussed here, where the smoothing parameters (SP) were roughly estimated as a function of forecasting the number of affected people due to COVID-19. Additionally, the different combinations of SP showed diverse, accurate prediction results depending on data volume. Only 1-day forecasting illustrated the most efficient prediction days (1 day, 3 days, 7 days), which was validated by the Nash–Sutcliffe efficiency (NSE) model. The study also validated that ULFR was an efficient forecasting model for the efficient model identifying. Moreover, as a substitute for the traditional R-squared, the study applied NSE and R-squared (ULFR) for model selection. Finally, the result depicted that the prediction ability of ULFR was superior to Holt’s when it is compared to the actual data.
Keywords	Medicine ; R ; Science ; Q
Subject code	310
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Determining an effective short term COVID-19 prediction model in ASEAN countries.

Sharif, Omar / Hasan, Md Zobaer / Rahman, Azizur

Scientific reports

2022 Volume 12, Issue 1, Page(s) 5083

Abstract: The challenge of accurately short-term forecasting demand is due to model selection and the nature of data trends. In this study, the prediction model was determined based on data patterns (trend data without seasonality) and the accuracy of prediction ... ...

Abstract	The challenge of accurately short-term forecasting demand is due to model selection and the nature of data trends. In this study, the prediction model was determined based on data patterns (trend data without seasonality) and the accuracy of prediction measurement. The cumulative number of COVID-19 affected people in some ASEAN countries had been collected from the Worldometers database. Three models [Holt's method, Wright's modified Holt's method, and unreplicated linear functional relationship model (ULFR)] had been utilized to identify an efficient model for short-time prediction. Moreover, different smoothing parameters had been tested to find the best combination of the smoothing parameter. Nevertheless, using the day-to-day reported cumulative case data and 3-days and 7-days in advance forecasts of cumulative data. As there was no missing data, Holt's method and Wright's modified Holt's method showed the same result. The text-only result corresponds to the consequences of the models discussed here, where the smoothing parameters (SP) were roughly estimated as a function of forecasting the number of affected people due to COVID-19. Additionally, the different combinations of SP showed diverse, accurate prediction results depending on data volume. Only 1-day forecasting illustrated the most efficient prediction days (1 day, 3 days, 7 days), which was validated by the Nash-Sutcliffe efficiency (NSE) model. The study also validated that ULFR was an efficient forecasting model for the efficient model identifying. Moreover, as a substitute for the traditional R-squared, the study applied NSE and R-squared (ULFR) for model selection. Finally, the result depicted that the prediction ability of ULFR was superior to Holt's when it is compared to the actual data.
MeSH term(s)	COVID-19/epidemiology ; Forecasting ; Humans ; Linear Models
Language	English
Publishing date	2022-03-24
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-08486-5
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Article ; Online: Meta-analysis of single-cell RNA-seq data reveals phenotypic switching of immune cells in severe COVID-19 patients.

Hasan, Md Zobaer / Islam, Syful / Matsumoto, Kenichi / Kawai, Taro

Computers in biology and medicine

2021 Volume 137, Page(s) 104792

Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has resulted in the global coronavirus disease 2019 (COVID-19) pandemic. Despite several single-cell RNA sequencing (RNA-seq) studies, conclusions cannot be reached owing to the small ...

Abstract	Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has resulted in the global coronavirus disease 2019 (COVID-19) pandemic. Despite several single-cell RNA sequencing (RNA-seq) studies, conclusions cannot be reached owing to the small number of available samples and the differences in technology and tissue types used in the studies. To better understand the cellular landscape and disease severity in COVID-19, we performed a meta-analysis of publicly available single-cell RNA-seq data from peripheral blood and lung samples of COVID-19 patients with varying degrees of severity. Patients with severe disease showed increased numbers of M1 macrophages in lung tissue, while the number of M2 macrophages was depleted. Cellular profiling of the peripheral blood showed a marked increase of CD14
MeSH term(s)	CD8-Positive T-Lymphocytes ; COVID-19 ; Humans ; RNA ; SARS-CoV-2 ; Sequence Analysis, RNA
Chemical Substances	RNA (63231-63-0)
Language	English
Publishing date	2021-08-27
Publishing country	United States
Document type	Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't
ZDB-ID	127557-4
ISSN	1879-0534 ; 0010-4825
ISSN (online)	1879-0534
ISSN	0010-4825
DOI	10.1016/j.compbiomed.2021.104792
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Article ; Online: SARS-CoV-2 infection initiates interleukin-17-enriched transcriptional response in different cells from multiple organs

Md Zobaer Hasan / Syful Islam / Kenichi Matsumoto / Taro Kawai

Scientific Reports, Vol 11, Iss 1, Pp 1-

2021 Volume 11

Abstract: Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has emerged as a pandemic. Paucity of information concerning the virus and therapeutic interventions have made SARS-CoV-2 infection a genuine threat to global public health. ... ...

Abstract	Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has emerged as a pandemic. Paucity of information concerning the virus and therapeutic interventions have made SARS-CoV-2 infection a genuine threat to global public health. Therefore, there is a growing need for understanding the molecular mechanism of SARS-CoV-2 infection at cellular level. To address this, we undertook a systems biology approach by analyzing publicly available RNA-seq datasets of SARS-CoV-2 infection of different cells and compared with other lung pathogenic infections. Our study identified several key genes and pathways uniquely associated with SARS-CoV-2 infection. Genes such as interleukin (IL)-6, CXCL8, CCL20, CXCL1 and CXCL3 were upregulated, which in particular regulate the cytokine storm and IL-17 signaling pathway. Of note, SARS-CoV-2 infection strongly activated IL-17 signaling pathway compared with other respiratory viruses. Additionally, this transcriptomic signature was also analyzed to predict potential drug repurposing and small molecule inhibitors. In conclusion, our comprehensive data analysis identifies key molecular pathways to reveal underlying pathological etiology and potential therapeutic targets in SARS-CoV-2 infection.
Keywords	Medicine ; R ; Science ; Q
Subject code	572 ; 570
Language	English
Publishing date	2021-08-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: SARS-CoV-2 infection initiates interleukin-17-enriched transcriptional response in different cells from multiple organs.

Hasan, Md Zobaer / Islam, Syful / Matsumoto, Kenichi / Kawai, Taro

Scientific reports

2021 Volume 11, Issue 1, Page(s) 16814

Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has emerged as a pandemic. Paucity of information concerning the virus and therapeutic interventions have made SARS-CoV-2 infection a genuine threat to global public health. Therefore, ...

Abstract	Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has emerged as a pandemic. Paucity of information concerning the virus and therapeutic interventions have made SARS-CoV-2 infection a genuine threat to global public health. Therefore, there is a growing need for understanding the molecular mechanism of SARS-CoV-2 infection at cellular level. To address this, we undertook a systems biology approach by analyzing publicly available RNA-seq datasets of SARS-CoV-2 infection of different cells and compared with other lung pathogenic infections. Our study identified several key genes and pathways uniquely associated with SARS-CoV-2 infection. Genes such as interleukin (IL)-6, CXCL8, CCL20, CXCL1 and CXCL3 were upregulated, which in particular regulate the cytokine storm and IL-17 signaling pathway. Of note, SARS-CoV-2 infection strongly activated IL-17 signaling pathway compared with other respiratory viruses. Additionally, this transcriptomic signature was also analyzed to predict potential drug repurposing and small molecule inhibitors. In conclusion, our comprehensive data analysis identifies key molecular pathways to reveal underlying pathological etiology and potential therapeutic targets in SARS-CoV-2 infection.
MeSH term(s)	Antiviral Agents/therapeutic use ; COVID-19/immunology ; Chemokine CCL20/genetics ; Chemokine CXCL1/genetics ; Chemokines, CXC/genetics ; Drug Repositioning ; Humans ; Interleukin-17/genetics ; Interleukin-17/metabolism ; Interleukin-6/genetics ; Interleukin-8/genetics ; Organ Specificity ; SARS-CoV-2/physiology ; Signal Transduction ; Systems Biology/methods ; Transcriptome ; COVID-19 Drug Treatment
Chemical Substances	Antiviral Agents ; CXCL3 protein, human ; Chemokine CCL20 ; Chemokine CXCL1 ; Chemokines, CXC ; Interleukin-17 ; Interleukin-6 ; Interleukin-8
Language	English
Publishing date	2021-08-19
Publishing country	England
Document type	Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-021-96110-3
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Footwear and insole design parameters to prevent occurrence and recurrence of neuropathic plantar forefoot ulcers in patients with diabetes: a series of N-of-1 trial study protocol.

Ahmed, Sayed / Butterworth, Paul / Barwick, Alex / Sharma, Anita / Hasan, Md Zobaer / Nancarrow, Susan

Trials

2022 Volume 23, Issue 1, Page(s) 1017

Abstract: Background: Foot complications occur in conjunction with poorly controlled diabetes. Plantar forefoot ulceration contributes to partial amputation in unstable diabetics, and the risk increases with concomitant neuropathy. Reducing peak plantar forefoot ... ...

Abstract	Background: Foot complications occur in conjunction with poorly controlled diabetes. Plantar forefoot ulceration contributes to partial amputation in unstable diabetics, and the risk increases with concomitant neuropathy. Reducing peak plantar forefoot pressure reduces ulcer occurrence and recurrence. Footwear and insoles are used to offload the neuropathic foot, but the success of offloading is dependent on patient adherence. This study aims to determine which design and modification features of footwear and insoles improve forefoot plantar pressure offloading and adherence in people with diabetes and neuropathy. Methods: This study, involving a series of N-of-1 trials, included 21 participants who had a history of neuropathic plantar forefoot ulcers. Participants were recruited from two public hospitals and one private podiatry clinic in Sydney, New South Wales, Australia. This trial is non-randomised and unblinded. Participants will be recruited from three sites, including two high-risk foot services and a private podiatry clinic in Sydney, Australia. Mobilemat™ and F-Scan® plantar pressure mapping systems by TekScan® (Boston, USA) will be used to measure barefoot and in-shoe plantar pressures. Participants' self-reports will be used to quantify the wearing period over a certain period of between 2 and 4 weeks during the trial. Participant preference toward footwear, insole design and quality-of-life-related information will be collected and analysed. The descriptive and inferential statistical analyses will be performed using IBM SPSS Statistics (version 27). And the software NVivo (version 12) will be utilised for the qualitative data analysis. Discussion: This is the first trial assessing footwear and insole interventions in people with diabetes by using a series of N-of-1 trials. Reporting self-declared wearing periods and participants' preferences on footwear style and aesthetics are the important approaches for this trial. Patient-centric device designs are the key to therapeutic outcomes, and this study is designed with that strategy in mind. Trial registration: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12620000699965p. Registered on June 23, 2020.
Language	English
Publishing date	2022-12-16
Publishing country	England
Document type	Journal Article
ZDB-ID	2040523-6
ISSN	1745-6215 ; 1468-6694 ; 1745-6215
ISSN (online)	1745-6215
ISSN	1468-6694 ; 1745-6215
DOI	10.1186/s13063-022-06968-5
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