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6. COVID-19 risk perception and prevention practices among high- and low-density populations in Bangladesh: A mixed-methods study

Author

Satter, Syed Moinuddin, Chowdhury, Kamal Ibne Amin, Tamanna, Refah, Abdullah, Zarin, Shafique, SM Zafor, Islam, Md Saiful, Rimi, Nadia Ali, Alam, Muhammad Rashedul, Nazneen, Arifa, Rahman, Mustafizur, Bhuiyan, Taufiqur Rahman, Khan, Farzana Islam, Rahman, Mahbubur, Alamgir, A SM, Shirin, Tahmina, Rahman, Mahmudur, Qadri, Firdausi, Flora, Meerjady Sabrina, and Banu, Sayera

Published
2022

9. Transmission of SARS-CoV-2 in the population living in highand low-density gradient areas in Dhaka, Bangladesh

Author

Satter, Syed Moinuddin, Bhuiyan, Taufiqur Rahman, Abdullah, Zarin, Akhtar, Marjahan, Akter, Aklima, Shafique, SM Zafor, Alam, Muhammad Rashedul, Chowdhury, Kamal Ibne Amin, Nazneen, Arifa, Rimi, Nadia Ali, Alamgir, A SM, Rahman, Mahbubur, Khan, Farzana Islam, Shirin, Tahmina, Flora, Meerjady Sabrina, Banu, Sayera, Rahman, Mustafizur, Rahman, Mahmudur, and Qadri, Firdausi

Published
2022

10. On-device Synaptic Memory Consolidation using Fowler-Nordheim Quantum-tunneling

Author

Rahman, Mustafizur, Bose, Subhankar, and Chakrabartty, Shantanu

Subjects
Computer Science - Emerging Technologies, Computer Science - Artificial Intelligence, Computer Science - Hardware Architecture, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Synaptic memory consolidation has been heralded as one of the key mechanisms for supporting continual learning in neuromorphic Artificial Intelligence (AI) systems. Here we report that a Fowler-Nordheim (FN) quantum-tunneling device can implement synaptic memory consolidation similar to what can be achieved by algorithmic consolidation models like the cascade and the elastic weight consolidation (EWC) models. The proposed FN-synapse not only stores the synaptic weight but also stores the synapse's historical usage statistic on the device itself. We also show that the operation of the FN-synapse is near-optimal in terms of the synaptic lifetime and we demonstrate that a network comprising FN-synapses outperforms a comparable EWC network for a small benchmark continual learning task. With an energy footprint of femtojoules per synaptic update, we believe that the proposed FN-synapse provides an ultra-energy-efficient approach for implementing both synaptic memory consolidation and persistent learning.

Published
2022

12. Safety and effectiveness of a recombinant hepatitis E vaccine in women of childbearing age in rural Bangladesh: a phase 4, double-blind, cluster-randomised, controlled trial

Author

Zaman, Khalequ, Julin, Cathinka Halle, Aziz, Asma Binte, Stene-Johansen, Kathrine, Yunus, Md, Qadri, Firdausi, Gurley, Emily S, Sandbu, Synne, Øverbø, Joakim, Dembinski, Jennifer L, Laake, Ida, Bhuiyan, Taufiqur R, Rahman, Mustafizur, Haque, Warda, Khanam, Mahbuba, Clemens, John D, and Dudman, Susanne

Published
2024
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15. Post-discharge mortality among patients hospitalised with severe acute respiratory infection, Bangladesh, 2012–2019: a prospective observational study

Author

Islam, Md Ariful, Hassan, Md Zakiul, Aleem, Mohammad Abdul, Akhtar, Zubair, Chowdhury, Sukanta, Ahmmed, Md Kaousar, Rahman, Mustafizur, Rahman, Mohammed Ziaur, Mah-E-Muneer, Syeda, Uzzaman, M Salim, Shirin, Tahmina, Flora, Meerjady Sabrina, Rahman, Mahmudur, Davis, William W., Azziz-Baumgartner, Eduardo, Iuliano, A. Danielle, and Chowdhury, Fahmida

Published
2024
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18. SPoTKD: A Protocol for Symmetric Key Distribution over Public Channels Using Self-Powered Timekeeping Devices

Author

Rahman, Mustafizur, Zhou, Liang, and Chakrabartty, Shantanu

Subjects
Computer Science - Cryptography and Security
Abstract

In this paper, we propose a novel class of symmetric key distribution protocols that leverages basic security primitives offered by low-cost, hardware chipsets containing millions of synchronized self-powered timers. The keys are derived from the temporal dynamics of a physical, micro-scale time-keeping device which makes the keys immune to any potential side-channel attacks, malicious tampering, or snooping. Using the behavioral model of the self-powered timers, we first show that the derived key-strings can pass the randomness test as defined by the National Institute of Standards and Technology (NIST) suite. The key-strings are then used in two SPoTKD (Self-Powered Timer Key Distribution) protocols that exploit the timer's dynamics as one-way functions: (a) protocol 1 facilitates secure communications between a user and a remote Server, and (b) protocol 2 facilitates secure communications between two users. In this paper, we investigate the security of these protocols under standard model and against different adversarial attacks. Using Monte-Carlo simulations, we also investigate the robustness of these protocols in the presence of real-world operating conditions and propose error-correcting SPoTKD protocols to mitigate these noise-related artifacts., Comment: 14 pages, 12 figures

Published
2021

19. Post-mortem investigation of deaths due to pneumonia in children aged 1–59 months in sub-Saharan Africa and South Asia from 2016 to 2022: an observational study

Author

Adam, Yasmin, Agaya, Janet, Ahmed, A.S.M. Nawshad Uddin, Ahmed, Dilruba, Alemu, Addisu, Ali, Solomon, Ameh, Soter, Aol, George, Argeseanu, Solveig, Ariuman, Farida, Balogun, Oluseyi, Bari, Sanwarul, Basket, Margaret, Begum, Ferdousi, Bhandari, Manu, Blevins, John, Bunn, James, Bursuc, Courtney, Cain, Carrie Jo, Chawana, Richard, Chawla, Kiranpreet, Chukwuegbo, Cornell, Diarra, Kounandji, Diarra, Tiéman, Diaz, Maureen, Duduyemi, Babatunde, Fairchild, Karen D., Flora, Meerjady Sabrina, Fritz, Ashleigh, Garel, Mischka, Gaume, Brigitte, Gizaw, Mahlet Abayneh, Govender, Nelesh P., Greene, Carol L., Gure, Tadesse, Halu, Binyam, Hoque, Mahbubul, Hwinya, Cleopas, Ibrahim, Alexander M., Igunza, Kitiezo Aggrey, Islam, Ferdousi, Ita, Okokon, Jambai, Amara, Johnson, J. Kristie, Juma, Jane, Kaluma, Erick, Kamal, Mohammed, Kaykay, Osman, Kenneh, Sartie, Khagayi, Sammy, Koka, Rima, Kone, Diakaridia, Koplan, Jeffrey P., Kourouma, Nana, Kowuor, Dickens, LaHatte, Kristin, Lala, Sanjay G., Lee, Kyu Han, Liu, Lucy, Lombaard, Hennie, Maixenchs, Maria, Manhique, Zara, Mannah, Margaret, Martines, Roosecelis, Mash, Ronald, Mehta, Ashka, Menéndez, Clara, Misore, Thomas, Mocumbi, Sibone, Moseray, Andrew, Moses, Francis, Muga, Christopher, Munguambe, Khátia, Myburgh, Nellie, Nair, Shailesh, Ndagurwa, Pedzisai, Nhacolo, Ariel, Nhampossa, Tacilta, Nwajiobi, Princewill, Ochola, Christine, Oliech, Richard, Oluoch, Bernard, Onwuchekwa, Uma U., Onyango, Peter Nyamthimba, Orlien, Stian MS, Otieno, Peter, Oundo, Joseph, Owuor, Harun, Parveen, Shahana, Petersen, Karen, Pratt, Samuel, Rahman, Mahbubur, Rahman, Mohammad Mosiur, Rahman, Mustafizur, Raymer, Sarah, Ritter, Jana, Salzberg, Navit T., Samura, Solomon, Sannoh, Sulaiman, Sanogo, Doh, Seppeh, Martin, Sesay, Tom, Sesay, Joseph Kamanda, Shirin, Tahmina, Sissoko, Seydou, Smart, Francis, Sorour, Gillian, Squire, James, Swaray-Deen, Alim, Swart, Peter J., Tarawally, Fatmata Bintu, Tasnim, Saria, Temesgen, Fikremelekot, Tennant, Sharon M., Traore, Cheick Bougadari, Traore, Awa, Velaphi, Sithembiso, Vyas, Kurt, Wadhwa, Ashutosh, Wadula, Jeannette, Waller, Jessica, Wanga, Valentine, Warang, Shamta, Were, Joyce Akinyi, Wilson, Tais, Winchell, Jonas, Wise, Amy, Witherbee, Jakob, Yeshi, Melisachew Mulatu, Zaman, K., Mahtab, Sana, Blau, Dianna M, Madewell, Zachary J, Ogbuanu, Ikechukwu, Ojulong, Julius, Lako, Sandra, Legesse, Hailemariam, Bangura, Joseph S, Bassat, Quique, Mandomando, Inacio, Xerinda, Elisio, Fernandes, Fabiola, Varo, Rosauro, Sow, Samba O, Kotloff, Karen L, Tapia, Milagritos D, Keita, Adama Mamby, Sidibe, Diakaridia, Onyango, Dickens, Akelo, Victor, Gethi, Dickson, Verani, Jennifer R, Revathi, Gunturu, Scott, J Anthony G, Assefa, Nega, Madrid, Lola, Bizuayehu, Hiwot, Tirfe, Tseyon Tesfaye, El Arifeen, Shams, Gurley, Emily S, Islam, Kazi Munisul, Alam, Muntasir, Zahid Hossain, Mohammad, Dangor, Ziyaad, Baillie, Vicky L, Hale, Martin, Mutevedzi, Portia, Breiman, Robert F, Whitney, Cynthia G, and Madhi, Shabir A

Published
2024
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20. Standardised quantitative assays for anti-SARS-CoV-2 immune response used in vaccine clinical trials by the CEPI Centralized Laboratory Network: a qualification analysis

Author

Zala, Vijay, De Almeida, Ana Paula, Fassoulas, Helen, Agrawal, Tanvi, Singh, Janmejay, Roy, Anjan Kumar, Berndsen, Saskia, de Mooij, Marina, Buitendijk, Hester, Stalpers, Coen, Jarju, Modou, Battistella, Filippo, Jeeninga, Rienk, Duijsings, Danny, Razzano, Ilaria, Molesti, Eleonora, Mazzini, Livia, Boccuto, Adele, Holder, Angela, Mee, Edward, Hurley, Matthew, Padley, Jennifer, Rose, Nicola, Gorman, Trina, Vila-Belda, Jose, James, Hannah, Carless, Jerome, Manak, Mark, Gagnon, Luc, Phay-Tran, Steven, Levesque-Damphousse, Philipa, Fabie, Aymeric, Daugan, Matthieu, Khan, Sarwat Tahsin, Proud, Pamela, Hussey, Bethan, Knott, Daniel, Charlton, Sue, Hallis, Bassam, Medigeshi, Guruprasad R, Garg, Neha, Anantharaj, Anbalagan, Raqib, Rubhana, Sarker, Protim, Alam, Mohammad Mamun, Rahman, Mustafizur, Murreddu, Marta, Balgobind, Angela, Hofman, Rick, Grappi, Silvia, Coluccio, Rosa, Calandro, Pierpaolo, Montomoli, Emanuele, Mattiuzzo, Giada, Prior, Sandra, Le Duff, Yann, Page, Mark, Mitchell, Jane, Schwartz, Lauren M, Bartsch, Yannic C, Azizi, Ali, and Bernasconi, Valentina

Published
2024
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23. Interpretation of molecular detection of avian influenza A virus in respiratory specimens collected from live bird market workers in Dhaka, Bangladesh: infection or contamination?

Author

Hassan, Md Zakiul, Sturm-Ramirez, Katharine, Islam, Md Saiful, Afreen, Sadia, Rahman, Mohammed Ziaur, Kafi, Mohammad Abdullah Heel, Chowdhury, Sukanta, Khan, Salah Uddin, Rahman, Mustafizur, Nasreen, Sharifa, Davis, C. Todd, Levine, Min Z., Rahman, Mahmudur, Luby, Stephen P., Azziz-Baumgartner, Eduardo, Iuliano, A.D., Uyeki, Timothy M., and Gurley, Emily S.

Published
2023
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24. Provider adherence to clinical care recommendations for infants and children who died in seven low- and middle-income countries in the Child Health and Mortality Prevention Surveillance (CHAMPS) network

Author

Solomon, Fatima, Sorour, Gillian, Lombaard, Hennie, Wadula, Jeannette, Petersen, Karen, Hale, Martin, Govender, Nelesh P., Swart, Peter J., Lala, Sanjay G., Velaphi, Sithembiso, Chawana, Richard, Adam, Yasmin, Wise, Amy, Fritz, Ashleigh, Myburgh, Nellie, Ndagurwa, Pedzisai, Hwinya, Cleopas, Bari, Sanwarul, Parveen, Shahana, Kamal, Mohammed, Uddin Ahmed, A.S.M. Nawshad, Hoque, Mahbubul, Tasnim, Saria, Islam, Ferdousi, Ariuman, Farida, Rahman, Mohammad Mosiur, Begum, Ferdousi, Zaman, K., Rahman, Mustafizur, Ahmed, Dilruba, Flora, Meerjady Sabrina, Shirin, Tahmina, Rahman, Mahbubur, Oundo, Joseph, Ibrahim, Alexander M., Temesgen, Fikremelekot, Gure, Tadesse, Alemu, Addisu, Yeshi, Melisachew Mulatu, Gizaw, Mahlet Abayneh, Orlien, Stian, Ali, Solomon, Otieno, Peter, Onyango, Peter Nyamthimba, Agaya, Janet, Oliech, Richard, Were, Joyce Akinyi, Gethi, Dickson, Khagayi, Sammy, Aol, George, Misore, Thomas, Owuor, Harun, Mugah, Christopher, Oluoch, Bernard, Ochola, Christine, Tennant, Sharon M., Greene, Carol L., Mehta, Ashka, Johnson, J. Kristie, Gaume, Brigitte, Koka, Rima, Fairchild, Karen D., Kone, Diakaridia, Sanogo, Doh, Onwuchekwa, Uma U., Kourouma, Nana, Sissoko, Seydou, Traore, Cheick Bougadari, Juma, Jane, Diarra, Kounandji, Traore, Awa, Diarra, Tiéman, Chawla, Kiranpreet, Nhampossa, Tacilta, Manhique, Zara, Mocumbi, Sibone, Menéndez, Clara, Munguambe, Khátia, Nhacolo, Ariel, Maixenchs, Maria, Moseray, Andrew, Tarawally, Fatmata Bintu, Seppeh, Martin, Mash, Ronald, Ojulong, Julius, Duduyemi, Babatunde, Bunn, James, Swaray-Deen, Alim, Bangura, Joseph, Jambai, Amara, Mannah, Margaret, Ita, Okokon, Chukwuegbo, Cornell, Sannoh, Sulaiman, Nwajiobi, Princewill, Kowuor, Dickens, Kaluma, Erick, Balogun, Oluseyi, Samura, Solomon, Pratt, Samuel, Moses, Francis, Sesay, Tom, Squire, James, Sesay, Joseph Kamanda, Kaykay, Osman, Halu, Binyam, Legesse, Hailemariam, Smart, Francis, Kenneh, Sartie, Ameh, Soter, Ritter, Jana, Wilson, Tais, Winchell, Jonas, Witherbee, Jakob, Salzberg, Navit T., Koplan, Jeffrey P., Basket, Margaret, Wadhwa, Ashutosh, Lee, Kyu Han, Wanga, Valentine, Martines, Roosecelis, Warang, Shamta, Diaz, Maureen, Waller, Jessica, Nair, Shailesh, Liu, Lucy, Bursuc, Courtney, LaHatte, Kristin, Raymer, Sarah, Blevins, John, Argeseanu, Solveig, Vyas, Kurt, Bhandari, Manu, Rees, Chris A., Igunza, Kitiezo Aggrey, Madewell, Zachary J., Akelo, Victor, Onyango, Dickens, El Arifeen, Shams, Gurley, Emily S., Hossain, Mohammad Zahid, Rahman, Afruna, Alam, Muntasir, Scott, J. Anthony G., Assefa, Nega, Madrid, Lola, Belachew, Anteneh, Leulseged, Haleluya, Kotloff, Karen L., Sow, Samba O., Tapia, Milagritos D., Keita, Adama Mamby, Sidibe, Diakaridia, Sitoe, Antonio, Varo, Rosauro, Ajanovic, Sara, Bassat, Quique, Mandomando, Inácio, Tippett Barr, Beth A., Ogbuanu, Ikechukwu, Cain, Carrie Jo, Bassey, Ima-Abasi, Luke, Ronita, Gassama, Khadija, Madhi, Shabir, Dangor, Ziyaad, Mahtab, Sana, du Toit, Jeanie, Mutevedzi, Portia C., Blau, Dianna M., Breiman, Robert F., and Whitney, Cynthia G.

Published
2023
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25. Neural tube defects as a cause of death among stillbirths, infants, and children younger than 5 years in sub-Saharan Africa and southeast Asia: an analysis of the CHAMPS network

Author

Nawshad Uddin Ahmed, A.S.M., Hoque, Mahbubul, Kamal, Mohammed, Mosiur, Mohammad, Begum, Ferdousi, Tasnim, Saria, Flora, Meerjady Sabrina, Arjuman, Farida, Khan, Iqbal Ansary, Shirin, Tahmina, Rahman, Mahbubur, Bari, Sanwarul, Parveen, Shahana, Islam, Farzana, Hossain, Mohammad Zahid, Islam, Kazi Munisul, Ahmed, Mohammad Sabbir, Zaman, K, Rahman, Mustafizur, Ahmed, Dilruba, Chowdhury, Md Atique Iqbal, Alam, Muntasir, Lee, Kyu Han, Islam, Ferdousi, Oundo, Joseph O, Temesgen, Fikremelekot, Yeshi, Melisachew Mulatu, Ibrahim, Alexander M, Gure, Tadesse, Edris, Yunus, Alemu, Addisu, Marami, Dadi, Lemma, Ephrem, Mekonnen, Ayantu, Wale, Henok, Tesfaye, Tseyon, Leulseged, Haleluya, Dufera, Tadesse, Belachew, Anteneh, Getnet, Fentabil, Fentaw, Surafel, Acham, Yenework, Orlien, Stian MS, Abayneh Gizaw, Mahlet, Rogena, Emily, Murila, Florence, Revathi, Gunturu, Mitei, Paul K, Kuria, Magdalene, Verani, Jennifer R, Igunza, Aggrey, Nyamthimba, Peter, Oele, Elizabeth, Fairchild, Karen D, Greene, Carol L, Koka, Rima, Mehta, Ashka, Tennant, Sharon M, Johnson, J Kristie, Keita, Tatiana, Keita, Adama Mamby, Kourouma, Nana, Onwuchekwa, Uma U, Traore, Awa, Sanogo, Doh, Sidibe, Diakaridia, Sissoko, Seydou, Kone, Diakaridia, Kindcardett, Milton, Munguambe, Khátia, Nhacolo, Ariel, Nhampossa, Tacilta, Vitorino, Pio, Xerinda, Elisio, Bramugy, Justina, Monjane, Celso, Nhachungue, Sheila, Hurtado, Juan Carlos, Maixenchs, Maria, Menéndez, Clara, Ordi, Jaume, Rakislova, Natalia, Valente, Marta, Manhique, Zara, Chitungo, Dercio, Mocumbi, Sibone, Carrilho, Carla, Fernandes, Fabiola, Pass Philipsborn, Rebecca, Koplan, Jeffrey P, Garel, Mischka, Dewey, Betsy, Nair, Shailesh, Salzberg, Navit T, Liu, Lucy, Alkis-Ramirez, Rebecca, Ritter, Jana M, Zaki, Sherif R, Gary, Joy, Winchell, Jonas M, Witherbee, Jacob, Waller, Jessica L, Fayorsey, Ruby, Luke, Ronita, Bassey, Ima-Abasi, Kowuor, Dickens, Sesay, Foday, Kosia, Baindu, Pratt, Samuel, Cain, Carrie-Jo, Samura, Solomon, Solomon, Fatima, Fritz, Ashleigh, Dludlu, Noluthando, Ntuli, Constance, Chawana, Richard, Petersen, Karen, Lala, Sanjay G, Velaphi, Sithembiso, Wadula, Jeannette, Hale, Martin, Swart, Peter J, Lombaard, Hennie, Moosa, Rahima, Sorour, Gillian, Madrid, Lola, Vyas, Kartavya J, Kancherla, Vijaya, Suchdev, Parminder S, Bassat, Quique, Sow, Samba O, El Arifeen, Shams, Madhi, Shabir A, Onyango, Dickens, Ogbuanu, Ikechukwu, Scott, J Anthony G, Blau, Dianna, Mandomando, Inacio, Keita, Adama M, Gurley, Emily S, Mahtab, Sana, Akelo, Victor, Sannoh, Sulaiman, Tilahun, Yenenesh, Varo, Rosauro, Onwuchekwa, Uma, Rahman, Afruna, Adam, Yasmin, Omore, Richard, Lako, Sandra, Wise, Amy, Tippet-Barr, Beth A, Kaluma, Erick, Ajanovic, Sara, Kotloff, Karen L, Mutevedzi, Portia, Tapia, Milagritos D, Moses, Francis, Whitney, Cynthia G, and Assefa, Nega

Published
2023
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28. Emergence of the novel sixth Candida auris Clade VI in Bangladesh

Author

Khan, Tahsin, primary, Faysal, Naimul Islam, additional, Hossain, Md Mobarok, additional, Mah-E-Muneer, Syeda, additional, Haider, Arefeen, additional, Moon, Shovan Basak, additional, Sen, Debashis, additional, Ahmed, Dilruba, additional, Parnell, Lindsay A., additional, Jubair, Mohammad, additional, Chow, Nancy A., additional, Chowdhury, Fahmida, additional, and Rahman, Mustafizur, additional

Published
2024
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30. Incidence of hospitalization due to influenza-associated severe acute respiratory infection during 2010-2019 in Bangladesh

Author

Aleem, Mohammad, primary, Roguski, Katherine, additional, Ahmed, Makhdum, additional, Rahman, Mohammed, additional, Rahman, Mustafizur, additional, Islam, Md Ariful, additional, Alamgir, A.S.M., additional, Salimuzzaman, M., additional, Shirin, Tahmina, additional, Chisti, Mohammod Jobayer, additional, Rahman, Mahmudur, additional, Azziz-Baumgartner, Eduardo, additional, Chowdury, Fahmida, additional, and Iuliano, Danielle, additional

Published
2024
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31. Coding-complete genomes of 18 SARS-CoV-2 Omicron JN.1, JN.1.4, and JN.1.11 sub-lineages in Bangladesh

Author

Tahsin, Anika, primary, Hasan, Mahin, additional, Rahman, Saikt, additional, Jubair, Mohammad, additional, Afrad, Mokibul Hassan, additional, Khan, Manjur Hossain, additional, Alam, Md Shaheen, additional, Begum, Mst Noorjahan, additional, Karim, Md Yeasir, additional, Mukta, Sharmin Aktar, additional, Habib, Mohammad Tanbir, additional, Alam, Ahmed Nawsher, additional, Chowdhury, Emran Kabir, additional, Rahman, Md Rofiqur, additional, Ryan, Edward T., additional, Shirin, Tahmina, additional, Rahman, Mustafizur, additional, and Qadri, Firdausi, additional

Published
2024
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32. Emergence of SARS-CoV-2 Omicron sub-lineage JN.1 in Bangladesh

Author

Jony, Manjur Hossain Khan, primary, Alam, Ahmed Nawsher, additional, Nasif, Md. Abdullah Omar, additional, Sultana, Sharmin, additional, Anwar, Rubaid, additional, Rudra, Mithun, additional, Rahman, Mahbubur, additional, Rahman, Mustafizur, additional, Qadri, Firdausi, additional, and Shirin, Tahmina, additional

Published
2024
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41. Innovative machine learning strategies for early detection and prevention of pregnancy loss: the Vitamin D connection and gestational health

Author

Sufian, Md Abu, Hamzi, Wahiba, Hamzi, Boumediene, Sagar, ASM Sharifuzzaman, Rahman, Mustafizur, Varadarajan, Jayasree, Hanumanthu, Mahesh, Azad, Md Abul Kalam, Sufian, Md Abu, Hamzi, Wahiba, Hamzi, Boumediene, Sagar, ASM Sharifuzzaman, Rahman, Mustafizur, Varadarajan, Jayasree, Hanumanthu, Mahesh, and Azad, Md Abul Kalam

Abstract

Early pregnancy loss (EPL) is a prevalent health concern with significant implications globally for gestational health. This research leverages machine learning to enhance the prediction of EPL and to differentiate between typical pregnancies and those at elevated risk during the initial trimester. We employed different machine learning methodologies, from conventional models to more advanced ones such as deep learning and multilayer perceptron models. Results from both classical and advanced machine learning models were evaluated using confusion matrices, cross-validation techniques, and analysis of feature significance to obtain correct decisions among algorithmic strategies on early pregnancy loss and the vitamin D serum connection in gestational health. The results demonstrated that machine learning is a powerful tool for accurately predicting EPL, with advanced models such as deep learning and multilayer perceptron outperforming classical ones. Linear discriminant analysis and quadratic discriminant analysis algorithms were shown to have 98 % accuracy in predicting pregnancy loss outcomes. Key determinants of EPL were identified, including levels of maternal serum vitamin D. In addition, prior pregnancy outcomes and maternal age are crucial factors in gestational health. This study’s findings highlight the potential of machine learning in enhancing predictions related to EPL that can contribute to improved gestational health outcomes for mothers and infants.

Published
2024

42. Seroprevalence of SARS-CoV-2 antibodies in Bangladesh related to novel coronavirus infection

Author

Bhuiyan, Taufiqur Rahman, Akhtar, Marjahan, Akter, Aklima, Khaton, Fatema, Rahman, Sadia Isfat Ara, Ferdous, Jannatul, Nazneen, Arifa, Sumon, Shariful Amin, Banik, Kajal C., Bablu, Arifur Rahman, Alamgir, A.S.M., Rahman, Mahbubur, Tony, Selim Reza, Hossain, Khaled, Calderwood, Stephen B., Charles, Richelle C., Ryan, Edward T., LaRocque, Regina C., Harris, Jason B., Rahman, Mustafizur, Chakraborty, Nitai, Rahman, Mahmudur, Arifeen, Shams El, Flora, Meerjady Sabrina, Shirin, Tahmina, Banu, Sayera, and Qadri, Firdausi

Published
2022
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44. Circulating dengue virus serotypes, demographics, and epidemiology in the 2023 dengue outbreak in Chittagong, Bangladesh.

Author

Rob, Md. Abdur, Hossain, Mohabbat, Sattar, M.A., Ahmed, Istiaq Uddin, Chowdhury, Abul Faisal Md. Nuruddin, Mehedi, H.M. Hamidullah, Mohammed, Noor, Maruf ul Quader, Mohammed, Hossain, Md. Zakir, Rahman, Mustafizur, Chakma, Kallyan, Barua, Susmita, Naznin Etu, Silvia, Sikder, Uschash, Tanni, Afroza Akter, and Mannan, Adnan

Subjects
DENGUE viruses, SEROTYPES, DEMOGRAPHIC surveys, POLYMERASE chain reaction
Abstract

Dengue is a serious epidemic for Bangladesh affecting thousands of lives. This study aimed to identify and determine the prevalence of the circulating variants of dengue virus (DENV) and their association with demographics and clinical manifestations among the dengue-infected patients. A total of 711 participants with NS1 antigen positivity were enrolled, followed by viral RNA extraction from the collected blood samples and a multiplex real-time reverse transcription-polymerase chain reaction (RT-PCR) assay to determine the dengue virus serotypes. Of 711 dengue-infected patients, 503 (70.7%) were male. Among different age groups, most of the patients were 21–30 years old (n = 255, 35.9%). The DENV2 (n = 483, 67.9%) serotype was more prevalent than the DENV3 (n = 144, 20.3%) and DENV1 (n = 84, 11.8%). The duration of fever was highest in the DENV-1 patients (4.79 ± 1.84 days) in contrast to DENV-3 (4.48 ± 1.68 days) and DENV-2 (4.33 ± 1.45 days) (P = 0.039). Importantly, five highly populated areas were identified as dengue hotspots in Chittagong metropolitan city. Our results provide crucial insights into the patterns of dengue virus transmission and severity among southern Bangladeshi population, thereby aiding in the development of targeted public health interventions and management strategies to combat future outbreaks. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Comprehensive Analysis of SARS-CoV-2 Dynamics in Bangladesh: Infection Trends and Variants (2020–2023).

Author

Begum, Mst. Noorjahan, Tony, Selim Reza, Jubair, Mohammad, Alam, Md. Shaheen, Karim, Yeasir, Patwary, Mohammad Hridoy, Rahman, Sezanur, Habib, Mohammad Tanbir, Ahmed, Anisuddin, Hossain, Mohammad Enayet, Rahman, Mohammed Ziaur, Khan, Manjur Hossain, Shirin, Tahmina, Qadri, Firdausi, and Rahman, Mustafizur

Subjects
COVID-19, SARS-CoV-2, WHOLE genome sequencing, COVID-19 pandemic, SARS-CoV-2 Omicron variant
Abstract

The first case of COVID-19 was detected in Bangladesh on 8 March 2020. Since then, the Government of Bangladesh (GoB) has implemented various measures to limit the transmission of COVID-19, including widespread testing facilities across the nation through a laboratory network for COVID-19 molecular testing. This study aimed to analyze the dynamics of SARS-CoV-2 in Bangladesh by conducting COVID-19 testing and genomic surveillance of the virus variants throughout the pandemic. Nasopharyngeal swabs were collected from authorized GoB collection centers between April 2020 and June 2023. The viral RNA was extracted and subjected to real-time PCR analysis in icddr,b's Virology laboratory. A subset of positive samples underwent whole-genome sequencing to track the evolutionary footprint of SARS-CoV-2 variants. We tested 149,270 suspected COVID-19 cases from Dhaka (n = 81,782) and other districts (n = 67,488). Of these, 63% were male. The highest positivity rate, 27%, was found in the >60 years age group, followed by 26%, 51–60 years, 25% in 41–50 years, and the lowest, 9% in under five children. Notably, the sequencing of 2742 SARS-CoV-2 genomes displayed a pattern of globally circulating variants, Alpha, Beta, Delta, and Omicron, successively replacing each other over time and causing peaks of COVID-19 infection. Regarding the risk of SARS-CoV-2 infection, it was observed that the positivity rate increased with age compared to the under-5 age group in 2020 and 2021. However, these trends did not remain consistent in 2022, where older age groups, particularly those over 60, had a lower positivity rate compared to other age groups due to vaccination. The study findings generated data on the real-time circulation of different SARS-CoV-2 variants and the upsurge of COVID-19 cases in Bangladesh, which impacted identifying hotspots and restricting the virus from further transmission. Even though there is currently a low circulation of SARS-CoV-2 in Bangladesh, similar approaches of genomic surveillance remain essential for monitoring the emergence of new SARS-CoV-2 variants or other potential pathogens that could lead to future pandemics. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Antimicrobial Susceptibility and Genomic Profiles of Multidrug-Resistant Staphylococcus aureus from Nasopharynx of Asymptomatic Children in Dhaka, Bangladesh.

Author

Islam, Sufia, Nasrin, Nishat, Tithi, Nigar Sultana, Khatun, Farjana, Asaduzzaman, Muhammad, Topa, Anika Fatema, Kabir, Md Farhad, Haque, Fahim Kabir Monjurul, Jubair, Mohammad, Rahman, Mustafizur, and Lehmann, Christian

Subjects
METHICILLIN-resistant staphylococcus aureus, ASYMPTOMATIC patients, GENOMICS, STAPHYLOCOCCUS aureus, DRUG resistance in microorganisms
Abstract

Children carrying Staphylococcus aureus in their nasopharynx are at a higher risk of contracting systemic infection. Due to lack of sufficient information regarding such carriage, this study was conducted to explore the prevalence, antibiotic susceptibility, and genomic profiles of S. aureus isolated from nasopharyngeal samples of 163 randomly selected asymptomatic Bangladeshi children aged from 5–<15 years. Antibiotic susceptibility pattern and genomic analysis of the samples were conducted using standard microbiological methods and genomic tools. The carriage was confirmed in 44 (27%) children who were mostly well nourished without respiratory symptoms in the last 3 months. Higher carriage was observed among the younger age group (5–<10 years) who completed vaccines for pneumonia (p = 0.002) and influenza (p = 0.004). Among the isolates, 84.1% were multidrug-resistant and 47.5% (n = 40) were methicillin-resistant S. aureus (MRSA). All the isolates (100%) were resistant to cefixime with higher resistance to ampicillin (95.5%) and penicillin (90.9%). Among the three investigated isolates, two were ST80 (ID-1 and ID-52) and one was a novel strain (ID-19) with the presence of aph-Stph, blaI, blaZ, dha1, fosB, lmrS, mepA, norA, and tet38 genes. The current research demonstrates a high incidence of multidrug-resistant S. aureus and reports the first instance of ST80 in asymptomatic children in Bangladesh. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Incidence of Hospitalization due to Influenza‐Associated Severe Acute Respiratory Infection During 2010–2019 in Bangladesh.

Author

Aleem, Mohammad Abdul, DeBord, Katherine Roguski, Ahmed, Makhdum, Rahman, Mohammed Ziaur, Rahman, Mustafizur, Islam, Md Ariful, Alamgir, A. S. M., Salimuzzaman, M., Shirin, Tahmina, Chisti, Mohammod Jobayer, Rahman, Mahmudur, Azziz‐Baumgartner, Eduardo, Chowdhury, Fahmida, and Iuliano, A. Danielle

Subjects
RESPIRATORY infections, COVID-19, HOSPITAL care, HOSPITAL utilization, CENSUS, INFLUENZA vaccines
Abstract

Background: Global influenza‐associated acute respiratory infections contribute to 3–5 million severe illnesses requiring hospitalization annually, with 90% of hospitalizations occurring among children < 5 years in developing countries. In Bangladesh, the inadequate availability of nationally representative, robust estimates of influenza‐associated hospitalizations limits allocation of resources for prevention and control measures. Methods: This study used data from the hospital‐based influenza surveillance (HBIS) system in Bangladesh from 2010 to 2019 and healthcare utilization surveys to determine hospital utilization patterns in the catchment area. We estimated annual influenza‐associated hospitalization numbers and rates for all age groups in Bangladesh using WHO methods, adjusted for a 6‐day‐a‐week enrollment schedule, selective testing of specimens from children under five, and healthcare‐seeking behavior, based on the proportion of symptomatic community participants seeking healthcare within the past week. We then estimated national hospitalization rates by multiplying age‐specific hospitalization rates with the corresponding annual national census population. Results: Annual influenza‐associated hospitalization rates per 100,000 population for all ages ranged from 31 (95% CI: 27–36) in 2011 to 139 (95% CI: 130–149) in 2019. Children < 5 years old had the highest rates of influenza‐associated hospitalization, ranging from 114 (95% CI: 90–138) in 2011 to 529 (95% CI: 481–578) in 2019, followed by adults aged ≥ 65 years with rates ranging from 46 (95% CI: 34–57) in 2012 to 252 (95% CI: 213–292) in 2019. The national hospitalization estimates for all ages during 2010–2019 ranged from 47,891 to 236,380 per year. Conclusions: The impact of influenza‐associated hospitalizations in Bangladesh may be considerable, particularly for young children and older adults. Targeted interventions, such as influenza vaccination for these age groups, should be prioritized and evaluated. [ABSTRACT FROM AUTHOR]

Published
2024
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48. Post-mortem investigation of deaths due to pneumonia in children aged 1–59 months in sub-Saharan Africa and South Asia from 2016 to 2022: an observational study

Author

Mahtab, Sana, primary, Blau, Dianna M, additional, Madewell, Zachary J, additional, Ogbuanu, Ikechukwu, additional, Ojulong, Julius, additional, Lako, Sandra, additional, Legesse, Hailemariam, additional, Bangura, Joseph S, additional, Bassat, Quique, additional, Mandomando, Inacio, additional, Xerinda, Elisio, additional, Fernandes, Fabiola, additional, Varo, Rosauro, additional, Sow, Samba O, additional, Kotloff, Karen L, additional, Tapia, Milagritos D, additional, Keita, Adama Mamby, additional, Sidibe, Diakaridia, additional, Onyango, Dickens, additional, Akelo, Victor, additional, Gethi, Dickson, additional, Verani, Jennifer R, additional, Revathi, Gunturu, additional, Scott, J Anthony G, additional, Assefa, Nega, additional, Madrid, Lola, additional, Bizuayehu, Hiwot, additional, Tirfe, Tseyon Tesfaye, additional, El Arifeen, Shams, additional, Gurley, Emily S, additional, Islam, Kazi Munisul, additional, Alam, Muntasir, additional, Zahid Hossain, Mohammad, additional, Dangor, Ziyaad, additional, Baillie, Vicky L, additional, Hale, Martin, additional, Mutevedzi, Portia, additional, Breiman, Robert F, additional, Whitney, Cynthia G, additional, Madhi, Shabir A, additional, Adam, Yasmin, additional, Agaya, Janet, additional, Ahmed, A.S.M. Nawshad Uddin, additional, Ahmed, Dilruba, additional, Alemu, Addisu, additional, Ali, Solomon, additional, Ameh, Soter, additional, Aol, George, additional, Argeseanu, Solveig, additional, Ariuman, Farida, additional, Balogun, Oluseyi, additional, Bari, Sanwarul, additional, Basket, Margaret, additional, Begum, Ferdousi, additional, Bhandari, Manu, additional, Blevins, John, additional, Bunn, James, additional, Bursuc, Courtney, additional, Cain, Carrie Jo, additional, Chawana, Richard, additional, Chawla, Kiranpreet, additional, Chukwuegbo, Cornell, additional, Diarra, Kounandji, additional, Diarra, Tiéman, additional, Diaz, Maureen, additional, Duduyemi, Babatunde, additional, Fairchild, Karen D., additional, Flora, Meerjady Sabrina, additional, Fritz, Ashleigh, additional, Garel, Mischka, additional, Gaume, Brigitte, additional, Gizaw, Mahlet Abayneh, additional, Govender, Nelesh P., additional, Greene, Carol L., additional, Gure, Tadesse, additional, Halu, Binyam, additional, Hoque, Mahbubul, additional, Hwinya, Cleopas, additional, Ibrahim, Alexander M., additional, Igunza, Kitiezo Aggrey, additional, Islam, Ferdousi, additional, Ita, Okokon, additional, Jambai, Amara, additional, Johnson, J. Kristie, additional, Juma, Jane, additional, Kaluma, Erick, additional, Kamal, Mohammed, additional, Kaykay, Osman, additional, Kenneh, Sartie, additional, Khagayi, Sammy, additional, Koka, Rima, additional, Kone, Diakaridia, additional, Koplan, Jeffrey P., additional, Kourouma, Nana, additional, Kowuor, Dickens, additional, LaHatte, Kristin, additional, Lala, Sanjay G., additional, Lee, Kyu Han, additional, Liu, Lucy, additional, Lombaard, Hennie, additional, Maixenchs, Maria, additional, Manhique, Zara, additional, Mannah, Margaret, additional, Martines, Roosecelis, additional, Mash, Ronald, additional, Mehta, Ashka, additional, Menéndez, Clara, additional, Misore, Thomas, additional, Mocumbi, Sibone, additional, Moseray, Andrew, additional, Moses, Francis, additional, Muga, Christopher, additional, Munguambe, Khátia, additional, Myburgh, Nellie, additional, Nair, Shailesh, additional, Ndagurwa, Pedzisai, additional, Nhacolo, Ariel, additional, Nhampossa, Tacilta, additional, Nwajiobi, Princewill, additional, Ochola, Christine, additional, Oliech, Richard, additional, Oluoch, Bernard, additional, Onwuchekwa, Uma U., additional, Onyango, Peter Nyamthimba, additional, Orlien, Stian MS, additional, Otieno, Peter, additional, Oundo, Joseph, additional, Owuor, Harun, additional, Parveen, Shahana, additional, Petersen, Karen, additional, Pratt, Samuel, additional, Rahman, Mahbubur, additional, Rahman, Mohammad Mosiur, additional, Rahman, Mustafizur, additional, Raymer, Sarah, additional, Ritter, Jana, additional, Salzberg, Navit T., additional, Samura, Solomon, additional, Sannoh, Sulaiman, additional, Sanogo, Doh, additional, Seppeh, Martin, additional, Sesay, Tom, additional, Sesay, Joseph Kamanda, additional, Shirin, Tahmina, additional, Sissoko, Seydou, additional, Smart, Francis, additional, Sorour, Gillian, additional, Squire, James, additional, Swaray-Deen, Alim, additional, Swart, Peter J., additional, Tarawally, Fatmata Bintu, additional, Tasnim, Saria, additional, Temesgen, Fikremelekot, additional, Tennant, Sharon M., additional, Traore, Cheick Bougadari, additional, Traore, Awa, additional, Velaphi, Sithembiso, additional, Vyas, Kurt, additional, Wadhwa, Ashutosh, additional, Wadula, Jeannette, additional, Waller, Jessica, additional, Wanga, Valentine, additional, Warang, Shamta, additional, Were, Joyce Akinyi, additional, Wilson, Tais, additional, Winchell, Jonas, additional, Wise, Amy, additional, Witherbee, Jakob, additional, Yeshi, Melisachew Mulatu, additional, and Zaman, K., additional

Published
2024
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50. SARS-CoV-2 and Influenza Virus Co-infection among Patients with Severe Acute Respiratory Infection During COVID-19 Pandemic in Bangladesh

Author

Akhtar, Zubair, primary, Islam, Ariful, additional, Mah-E-Muneer, Syeda, additional, AHMMED, MD, additional, Ghosh, Probir, additional, Rahman, Mustafizur, additional, Rahman, Mohammed, additional, Sumiya, Mariya, additional, Rahman, Md., additional, Shirin, Tahmina, additional, Alamgir, A.S.M., additional, Banu, Sayera, additional, Rahman, Mahmudur, additional, and Chowdury, Fahmida, additional

Published
2024
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