4 results on '"Islam MR"'
Search Results
2. Prevalence of HIV/AIDS among pregnant women in North American region: A systematic review and meta-analysis.
- Author
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Shabbir NA, Kant SB, Rashid K, Hafeez U, Akbar AA, Batool SW, Pranto AH, Zaman J, Shahriyer Tonmoy H, Islam MR, Meem MMRM, Islam DZ, Suez E, Khandker SS, Akbar A, Khattak MI, Ali AI, Jadoon SK, Shakeel A, Zubair M, and Alvi S
- Subjects
- Humans, Female, Pregnancy, Prevalence, Mexico epidemiology, Canada epidemiology, United States epidemiology, North America epidemiology, Acquired Immunodeficiency Syndrome epidemiology, HIV Infections epidemiology, Pregnancy Complications, Infectious epidemiology
- Abstract
Background: As a major maternal health concern, the prevalence of human immunodeficiency virus (HIV) among pregnant women was previously investigated in European, African, and Latin American regions other than the North American region. This study analyzed the prevalence of HIV among pregnant women in the North American region including 3 major countries: the USA, Canada, and Mexico., Methods: Relevant studies were screened from 3 online databases: Google Scholar, PubMed, and ScienceDirect using specific search keywords. Ultimately, 10 studies of the North American region were included with a total of 339,831 pregnant women residing in the USA, Canada, and Mexico., Results: The overall pooled prevalence was 0.6% (95% confidence interval [CI]: 0.4-0.8) with a high degree of heterogeneity (I2 = 97%). Pooled prevalence rates of HIV among pregnant women in Canada, Mexico, and the USA were 0.3% (95% CI: 0.1-0.5), 0.5% (95% CI: 0.2-0.8), and 2.3% (95% CI: 0.0-5.7), respectively with high degrees of heterogeneity., Conclusion: The overall prevalence rate of HIV among pregnant women in the USA, Canada, and Mexico was minimal as compared with the countries of Eastern Europe, sub-Saharan Africa, or Latin America. Awareness, adequate testing and healthcare facilities, better socioeconomic, and geopolitical conditions might be crucial to lowering the prevalence of HIV among pregnant women., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)
- Published
- 2024
- Full Text
- View/download PDF
3. Characterization of Mycobacterium orygis, Mycobacterium bovis, and Mycobacterium caprae Infections in Humans in Western Canada.
- Author
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Riopel ND, Long R, Heffernan C, Tyrrell GJ, Shandro C, Li V, Islam MR, Stobart M, Sharma MK, Soualhine H, and Cooper R
- Subjects
- Humans, Female, Male, Retrospective Studies, Adult, Alberta epidemiology, Middle Aged, Animals, Mycobacterium isolation & purification, Mycobacterium classification, Young Adult, Aged, Adolescent, Pregnancy, Child, Canada epidemiology, Mycobacterium Infections epidemiology, Mycobacterium Infections microbiology, Mycobacterium bovis isolation & purification, Tuberculosis epidemiology, Tuberculosis microbiology
- Abstract
Epidemiologic research on zoonotic tuberculosis historically used Mycobacterium bovis as a surrogate measure; however, increased reports of human tuberculosis caused by other animal-associated Mycobacterium tuberculosis complex members like Mycobacterium orygis necessitates their inclusion. We performed a retrospective cohort study including persons infected with any animal-lineage M tuberculosis complex species in Alberta, Canada, from January 1995 to July 2021, identifying 42 patients (20 M bovis, 21 M orygis, 1 M caprae). Demographic, epidemiologic, and clinical characteristics were compared against persons with culture-confirmed M tuberculosis infection. The proportion of culture-positive infections caused by M orygis increased continuously from 2016 to 2020. Significantly more females at a higher median age were impacted by M orygis, with all patients originating from South Asia. Mycobacterium bovis caused significantly more extrapulmonary disease and disproportionately impacted young females, particularly those pregnant or postpartum. All infections were acquired abroad. These findings can aid in developing targeted public health interventions., Competing Interests: Potential conflicts of interest. All authors: No reported conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed. Funding to pay the Open Access publication charges for this article was provided by the Canadian Research Knowledge Network (CRKN)., (© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)
- Published
- 2024
- Full Text
- View/download PDF
4. Yard waste prediction from estimated municipal solid waste using the grey theory to achieve a zero-waste strategy.
- Author
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Islam MR, Kabir G, Ng KTW, and Ali SM
- Subjects
- Canada, Cities, Forecasting, Solid Waste analysis, Refuse Disposal methods, Waste Management methods
- Abstract
Yard waste is one of the key components of municipal solid waste and can play a vital role in implementing zero-waste strategy to achieve sustainable municipal solid waste management. Therefore, the objective of this study is to predict yard waste generation using the grey theory from the predicted municipal solid waste generation. The proposed model is implemented using municipal solid waste generation data from the City of Winnipeg, Canada. To identify the generation factors that influence municipal solid waste generation and yard waste generation, a correlation analysis is performed among eight socio-economic factors and six climatic factors. The GM (1, 1) model is utilized to predict individual factors with overall MAPE values of 0.06%-10.39% for the in-sample data, while the multivariable GM (1, N) grey model is employed to forecast the quarterly level of municipal solid waste generation with overall MAPE values of 5.64%-7.54%. In this study, grey models predict quarterly yard waste generation from the predicted municipal solid waste generation values using only twelve historical data points. The results indicate that the grey model (based on the error matrices) performs better than the linear and nonlinear regression-based models. The outcome of this study will support the City of Winnipeg's sustainable planning for yard waste management in terms of budgeting, resource allocation, and estimating energy generation., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Published
- 2022
- Full Text
- View/download PDF
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