Md Saiful Islam

Dr. Md Saiful Islam


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 October 2020 in The American Journal of Tropical Medicine and Hygiene
Verified
Journal Article
Open access
MIMd Saiful Islam
Md Saiful Islam
TSTonmoy Sarkar
Tonmoy Sarkar
SKSazzad Hossain Khan
Sazzad Hossain Khan
SKSharmin Mostofa Kamal
Sharmin Mostofa Kamal
SHSarkar Mohammad Murshid Hasan
Sarkar Mohammad Murshid Hasan
HSHolly Seale
Holly Seale
Infodemics, often including rumors, stigma, and conspiracy theories, have been common during the COVID-19 pandemic. Monitoring social media data has been identified as the best method for tracking rumors in real time and as a possible way to dispel misinformation and reduce stigma. However, the detection, assessment, and response to rumors, stigma, and conspiracy theories in real time are a challenge. Therefore, we followed and examined COVID-19–related rumors, stigma, and conspiracy theories circulating on online platforms, including fact-checking agency websites, Facebook, Twitter, and online newspapers, and their impacts on public health. Information was extracted between December 31, 2019 and April 5, 2020, and descriptively analyzed. We performed a content analysis of the news articles to compare and contrast data collected from other sources. We identified 2,311 reports of rumors, stigma, and conspiracy theories in 25 languages from 87 countries. Claims were related to illness, transmission and mortality (24%), control measures (21%), treatment and cure (19%), cause of disease including the origin (15%), violence (1%), and miscellaneous (20%). Of the 2,276 reports for which text ratings were available, 1,856 claims were false (82%). Misinformation fueled by rumors, stigma, and conspiracy theories can have potentially serious implications on the individual and community if prioritized over evidence-based guidelines. Health agencies must track misinformation associated with the COVID-19 in real time, and engage local communities and government stakeholders to debunk misinformation.

12 May 2021 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MIMd Saiful Islam
Md Saiful Islam
SKSharmin Mostofa Kamal
Sharmin Mostofa Kamal
AKAlamgir Kabir
Alamgir Kabir
DSDorothy L. Southern
Dorothy L. Southern
SKSazzad Hossain Khan
Sazzad Hossain Khan
HSHolly Seale
Holly Seale
Introduction: Rumors and conspiracy theories, can contribute to vaccine hesitancy. Monitoring online data related to COVID-19 vaccine candidates can track vaccine misinformation in real-time and assist in negating its impact. This study aimed to examine COVID-19 vaccine rumors and conspiracy theories circulating on online platforms, understand their context, and then review interventions to manage this misinformation and increase vaccine acceptance. Method: In June 2020, a multi-disciplinary team was formed to review and collect online rumors and conspiracy theories between 31 December 2019–30 November 2020. Sources included Google, Google Fact Check, Facebook, YouTube, Twitter, fact-checking agency websites, and television and newspaper websites. Quantitative data were extracted, entered in an Excel spreadsheet, and analyzed descriptively using the statistical package R version 4.0.3. We conducted a content analysis of the qualitative information from news articles, online reports and blogs and compared with findings from quantitative data. Based on the fact-checking agency ratings, information was categorized as true, false, misleading, or exaggerated. Results: We identified 637 COVID-19 vaccine-related items: 91% were rumors and 9% were conspiracy theories from 52 countries. Of the 578 rumors, 36% were related to vaccine development, availability, and access, 20% related to morbidity and mortality, 8% to safety, efficacy, and acceptance, and the rest were other categories. Of the 637 items, 5% (30/) were true, 83% (528/637) were false, 10% (66/637) were misleading, and 2% (13/637) were exaggerated. Conclusions: Rumors and conspiracy theories may lead to mistrust contributing to vaccine hesitancy. Tracking COVID-19 vaccine misinformation in real-time and engaging with social media to disseminate correct information could help safeguard the public against misinformation.

1 April 2016 in Emerging Infectious Diseases
Verified
Journal Article
Open access
MIMd Saiful Islam
Md Saiful Islam
HSHossain M.S. Sazzad
Hossain M.S. Sazzad
SSSyed Moinuddin Satter
Syed Moinuddin Satter
SSSharmin Sultana
Sharmin Sultana
MHM. Jahangir Hossain
M. Jahangir Hossain
EGEmily S. Gurley
Emily S. Gurley
Nipah virus (NiV) is a paramyxovirus, and Pteropus spp. bats are the natural reservoir. From December 2010 through March 2014, hospital-based encephalitis surveillance in Bangladesh identified 18 clusters of NiV infection. The source of infection for case-patients in 3 clusters in 2 districts was unknown. A team of epidemiologists and anthropologists investigated these 3 clusters comprising 14 case-patients, 8 of whom died. Among the 14 case-patients, 8 drank fermented date palm sap (tari) regularly before their illness, and 6 provided care to a person infected with NiV. The process of preparing date palm trees for tari production was similar to the process of collecting date palm sap for fresh consumption. Bat excreta was reportedly found inside pots used to make tari. These findings suggest that drinking tari is a potential pathway of NiV transmission. Interventions that prevent bat access to date palm sap might prevent tari-associated NiV infection.

15 May 2020 in Infection Control & Hospital Epidemiology
Verified
Journal Article
Open access
PDF file
MIMd Saiful Islam
Md Saiful Islam
KRKazi M. Rahman
Kazi M. Rahman
YSYanni Sun
Yanni Sun
MQMohammed Owais Qureshi
Mohammed Owais Qureshi
IAIkram Abdi
Ikram Abdi
HSHolly Seale
Holly Seale
Objective: In the current absence of a vaccine for COVID-19, public health responses aim to break the chain of infection by focusing on the mode of transmission. We reviewed the current evidence on the transmission dynamics and on pathogenic and clinical features of COVID-19 to critically identify any gaps in the current infection prevention and control (IPC) guidelines.Methods: In this study, we reviewed global COVID-19 IPC guidelines by organizations such as the World Health Organization (WHO), the US Centers for Disease Control and Prevention (CDC), and the European Centre for Disease Prevention and Control (ECDC). Guidelines from 2 high-income countries (Australia and United Kingdom) and from 1 middle-income country (China) were also reviewed. We searched publications in English on ‘PubMed’ and Google Scholar. We extracted information related to COVID-19 transmission dynamics, clinical presentations, and exposures that may facilitate transmission. We then compared these findings with the recommended IPC measures.Results: Nosocomial transmission of SARS-CoV-2 in healthcare settings occurs through droplets, aerosols, and the oral–fecal or fecal–droplet route. However, the IPC guidelines fail to cover all transmission modes, and the recommendations also conflict with each other. Most guidelines recommend surgical masks for healthcare providers during routine care and N95 respirators for aerosol-generating procedures. However, recommendations regarding the type of face mask varied, and the CDC recommends cloth masks when surgical masks are unavailable.Conclusion: IPC strategies should consider all the possible routes of transmission and should target all patient care activities involving risk of person-to-person transmission. This review may assist international health agencies in updating their guidelines.

1 May 2020 in International Journal of Nursing Studies
Verified
Journal Article
Closed access
ACAbrar A. Chughtai
Abrar A. Chughtai
HSHolly Seale
Holly Seale
MIMd Saiful Islam
Md Saiful Islam
MQMohammed Owais Qureshi
Mohammed Owais Qureshi
RMRaina MacIntyre
Raina MacIntyre

1 March 2014 in American Journal of Infection Control
Verified
Journal Article
Closed access
MIMd Saiful Islam
Md Saiful Islam
SLStephen Luby
Stephen Luby
RSRebeca Sultana
Rebeca Sultana
NRNadia Ali Rimi
Nadia Ali Rimi
RZRashid Uz Zaman
Rashid Uz Zaman
EGEmily S. Gurley
Emily S. Gurley