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2. 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

3. 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

5. Prevalence of COVID-19 in Bangladesh, April to October 2020—a cross-sectional study

Author

Nazneen, Arifa, Sultana, Rebeca, Rahman, Mahmudur, Rahman, Mahbubur, Qadri, Firdausi, Rimi, Nadia Ali, Hossain, Md. Kamal, Alam, Muhammad Rashedul, Rahman, Mustafizur, Chakraborty, Nitai, Sumon, Shariful Amin, Hussain, Enayet, Hassan, Md Zakiul, Khan, Sazzad Hossain, Prodhan, Md. Hasnatuzzaman, Bablu, Arifur Rahman, Banik, Kajal Chandra, Fahad, Md. Habibullah, Akhtar, Marjahan, Satter, Syed Moinuddin, Ahmed, Shahriar, Rahman, Ahmed Ehsanur, Bhuiyan, Taufiqur Rahman, Alamgir, A.S.M., Arifeen, Shams El, Shirin, Tahmina, Banu, Sayera, and Flora, Meerjady Sabrina

Published
2021
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6. Tackling a global epidemic threat: Nipah surveillance in Bangladesh, 2006–2021

Author

Satter, Syed Moinuddin, primary, Aquib, Wasik Rahman, additional, Sultana, Sharmin, additional, Sharif, Ahmad Raihan, additional, Nazneen, Arifa, additional, Alam, Muhammad Rashedul, additional, Siddika, Ayesha, additional, Akther Ema, Fateha, additional, Chowdhury, Kamal Ibne Amin, additional, Alam, Ahmed Nawsher, additional, Rahman, Mahmudur, additional, Klena, John D., additional, Rahman, Mohammed Ziaur, additional, Banu, Sayera, additional, Shirin, Tahmina, additional, and Montgomery, Joel M., additional

Published
2023
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8. Detection of Rotavirus in Respiratory Specimens From Bangladeshi Children Aged <2 Years Hospitalized for Acute Gastroenteritis.

Author

Satter, Syed Moinuddin, Katz, Eric, Hossain, Mohammad Enayet, Fariha, Farzana, Talha, Muhammad, Smart, Sarah L, Bowen, Michael D, Rahman, Mustafizur, Parashar, Umesh D, and Cortese, Margaret M

Subjects
*ROTAVIRUSES, *GASTROENTERITIS, *GENOTYPES, *RNA, *AGE
Abstract

To examine the potential for respiratory transmission of rotavirus, we systematically assessed if rotavirus RNA is detectable by real-time quantitative reverse transcription-polymerase chain reaction from nasal and oropharyngeal swab specimens of Bangladeshi children with acute rotavirus gastroenteritis. Forehead swabs were collected to assess skin contamination. Among 399 children aged <2 years hospitalized for gastroenteritis during peak rotavirus season, rotavirus RNA was detected in stool, oral, nasal and forehead swab specimens of 354 (89%). A subset was genotyped; genotype was concordant within a child's specimen set and several different genotypes were detected across children. These findings support possible respiratory transmission of rotavirus and warrant further investigation. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Antibiotic Prescribing Practices for Treating COVID-19 Patients in Bangladesh

Author

Mondal, Utpal Kumar, primary, Haque, Tahmidul, additional, Biswas, Md Abdullah Al Jubayer, additional, Satter, Syed Moinuddin, additional, Islam, Md Saiful, additional, Alam, Zahidul, additional, Shojon, Mohammad, additional, Debnath, Shubroto, additional, Islam, Mohaiminul, additional, Murshid, Haroon Bin, additional, Hassan, Md Zakiul, additional, and Homaira, Nusrat, additional

Published
2022
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11. Transmission of SARS-CoV-2 in the Population Living in High- and Low-Density Gradient Areas in Dhaka, Bangladesh

Author

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

Published
2022
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12. The economic burden of rotavirus hospitalization among children < 5 years of age in selected hospitals in Bangladesh

Author

Ahmed, Sayem, primary, Dorin, Farzana, additional, Satter, Syed Moinuddin, additional, Sarker, Abdur Razzaque, additional, Sultana, Marufa, additional, Gastanaduy, Paul A, additional, Parashar, Umesh, additional, Tate, Jacqueline E., additional, Heffelfinger, James D., additional, Gurley, Emily S., additional, and Khan, Jahangir A.M., additional

Published
2021
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13. Changing Contact Patterns Over Disease Progression: Nipah Virus as a Case Study

Author

Lee, Kyu Han, primary, Nikolay, Birgit, primary, Sazzad, Hossain M S, primary, Hossain, M Jahangir, primary, Khan, A K M Dawlat, primary, Rahman, Mahmudur, primary, Satter, Syed Moinuddin, primary, Nichol, Stuart T, primary, Klena, John D, primary, Pulliam, Juliet R C, primary, Kilpatrick, A Marm, primary, Sultana, Sharmin, primary, Afroj, Sayma, primary, Daszak, Peter, primary, Luby, Stephen, primary, Cauchemez, Simon, primary, Salje, Henrik, primary, and Gurley, Emily S, primary

Published
2020
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15. Nipah Virus Transmission from Bats to Humans Associated with Drinking Traditional Liquor Made from Date Palm Sap, Bangladesh, 2011–2014

Author

Islam, M. Saiful, primary, Sazzad, Hossain M.S., additional, Satter, Syed Moinuddin, additional, Sultana, Sharmin, additional, Hossain, M. Jahangir, additional, Hasan, Murshid, additional, Rahman, Mahmudur, additional, Campbell, Shelley, additional, Cannon, Deborah L., additional, Ströher, Ute, additional, Daszak, Peter, additional, Luby, Stephen P., additional, and Gurley, Emily S., additional

Published
2016
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18. Streamlined detection of Nipah virus antibodies using a split NanoLuc biosensor.

Author

Bergeron É, Chiang CF, Lo MK, Karaaslan E, Satter SM, Rahman MZ, Hossain ME, Aquib WR, Rahman DI, Sarwar SB, Montgomery JM, Klena JD, and Spiropoulou CF

Subjects
Humans, Animals, Bangladesh epidemiology, Luciferases genetics, Sensitivity and Specificity, Female, Adult, Enzyme-Linked Immunosorbent Assay methods, Male, Adolescent, Young Adult, Middle Aged, Nipah Virus immunology, Antibodies, Viral blood, Antibodies, Viral immunology, Henipavirus Infections diagnosis, Henipavirus Infections immunology, Henipavirus Infections virology, Biosensing Techniques methods
Abstract

Nipah virus (NiV) is an emerging zoonotic RNA virus that can cause fatal respiratory and neurological diseases in animals and humans. Accurate NiV diagnostics and surveillance tools are crucial for the identification of acute and resolved infections and to improve our understanding of NiV transmission and circulation. Here, we have developed and validated a split NanoLuc luciferase NiV glycoprotein (G) biosensor for detecting antibodies in clinical and animal samples. This assay is performed by simply mixing reagents and measuring luminescence, which depends on the complementation of the split NanoLuc luciferase G biosensor following its binding to antibodies. This anti-NiV-G "mix-and-read" assay was validated using the WHO's first international standard for anti-NiV antibodies and more than 700 serum samples from the NiV-endemic country of Bangladesh. Anti-NiV antibodies from survivors persisted for at least 8 years according to both ⍺NiV-G mix-and-read and NiV neutralization assays. The ⍺NiV-G mix-and-read assay sensitivity (98.6%) and specificity (100%) were comparable to anti-NiV IgG ELISA performance but failed to detect anti-NiV antibodies in samples collected less than a week following the appearance of symptoms. Overall, the anti-NiV-G biosensor represents a simple, fast, and reliable tool that could support the expansion of NiV surveillance and retrospective outbreak investigations.

Published
2024
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