A5013307328- Vaccine Coverage and Hesitancy
- COVID-19 and Mental Health
- COVID-19 epidemiological studies
- Misinformation and Its Impacts
- Viral Infections and Outbreaks Research
- Data-Driven Disease Surveillance
- Employment and Welfare Studies
- COVID-19 Pandemic Impacts
- Influenza Virus Research Studies
- Communication and COVID-19 Impact
- Virology and Viral Diseases
- Community Health and Development
- Occupational Health and Safety Research
- Travel-related health issues
- Congenital Diaphragmatic Hernia Studies
- Socioeconomic and Demographic Analysis
- Sex and Gender in Healthcare
- Risk Perception and Management
- Public Relations and Crisis Communication
- Global Public Health Policies and Epidemiology
- Neonatal Respiratory Health Research
- Respiratory viral infections research
- Youth Education and Societal Dynamics
- Infection Control and Ventilation
- ICT in Developing Communities
The Ohio State University
2023-2025
Yale University
2020-2023
Emory University
2023
Oberlin College
2023
Office of Multidisciplinary Activities
2021
Shaqra University
2021
Yale New Haven Health System
2020
The Coronavirus Disease 2019 (COVID-19) outbreak is spreading globally. Although COVID-19 has now been declared a pandemic and risk for infection in the United States (US) currently high, at time of survey administration US was low. It important to understand public perception trust sources information better inform health messaging. In this study, we surveyed adult population their perceptions about outbreak. We used an online platform 718 adults early February 2020 using questionnaire that...
Abstract Background COVID-19 outbreak is spreading globally. Although the risk of infection in US currently low, it important to understand public perception and trust sources information better inform health messaging. In this study, we surveyed adult population their perceptions about outbreak. Methods Findings We used an online platform survey 718 adults early February 2020 using a questionnaire that developed. Our sample was fairly similar general terms age, gender, race, ethnicity...
The COVID-19 pandemic has resulted in more than 20 million cases and 350 000 deaths the United States. With ongoing media coverage spread of misinformation, public health authorities need to identify effective strategies create culturally appropriate evidence-based messaging that best encourage preventive behaviors control COVID-19.The purpose this study was understand relationship between sources information knowledge, how US adults' knowledge may be associated with help mitigate deaths.For...
Abstract Background: Understanding healthcare personnel’s (HCP) contact patterns are important to mitigate healthcare-associated infectious disease transmission. Little is known about how HCP change over time or during outbreaks such as the COVID-19 pandemic. Methods: This study in a large United States system examined social of via standardized diaries. were enrolled from October 2020 June 2022. Participants completed monthly surveys contacts representative working day. In 2022,...
Abstract Background We lack understanding of how health care workers’ (HCWs) contacts change over time or in response to pandemics. This study describes the social contact patterns HCWs a large United States system via standardized diaries. Mean number total (Jan 2021-May 2022): The mean noted with dark-blue line 95% confidence intervals (95%CI) dark gray. dashed black shows linear regression time. The-axis is interrupted as was closed June and July 2021. Methods Inpatient outpatient...
The use of the internet and web-based platforms to obtain public health information manage health-related issues has become widespread in this digital age. practice is so pervasive that first reaction obtaining "Google it." As SARS-CoV-2 broke out Wuhan, China, December 2019 quickly spread worldwide, people flocked learn about novel coronavirus disease, COVID-19. Lagging responses by governments agencies prioritize dissemination outbreak through World Wide Web build trust gave room for...
We measured contact patterns using online diaries for 304 employees of 3 U.S. companies working remotely. The median number daily contacts was 2 (IQR 1-4); majority were conversation (55 %), occurred at home (64 %) and lasted >4 h (38 %). These data are crucial modeling outbreak control among the workforces.
Respiratory syncytial virus (RSV) is an important cause of infant morbidity and mortality a potential target for maternal immunization strategies. However, data on the role RSV in young deaths developing countries are limited.
Several publications on the concept and structure of SARS-CoV-2 COVID-19 over past three years target medical biomedical scientists, rightly so, as experts in search solutions made efforts to understand molecular coronavirus. The multidisciplinary audience who needs help understanding scientific discourse complexity is left guess dark. Studies show that a lack proper pandemic can have several consequences, including accepting conspiracy theories, misinformation, negative attitudes against...
Influenza causes significant mortality and morbidity in the United States (US). Employees are exposed to influenza at work can spread it others. The vaccine is safe, effective, prevents severe outcomes; however, coverage among US adults (50.2%) below Healthy People 2030 target of 70%. These highlights need for more effective vaccination promotion interventions. Understanding predictors acceptance could inform messages, improve coverage, reduce illness-related absences. We aimed identify...
1. Abstract Introduction There are few sources of empirical social contact data from resource-poor settings thus limiting the development contextual mathematical models disease transmission and control. Methods We collected analyzed cross-sectional survey rural urban sites in Mozambique. Participants, including infants, were recruited. They reported retrospectively, a paper diary, individuals with whom they had co-located physical or conversation contact, as well their age, sex,...
Background Low-and-middle-income countries (LMICs) bear a disproportionate burden of communicable diseases. Social interaction data inform infectious disease models and prevention strategies. The variations in demographics contact patterns across ages, cultures, locations significantly impact dynamics pathogen transmission. LMICs lack sufficient social for modeling. Methods To address this gap, we will collect qualitative quantitative from eight study sites (encompassing both rural urban...
Abstract The COVID-19 pandemic continues to detrimentally impact the United States. Using a survey, we collected demographic and risk perception, behavior, knowledge, attitude data from 672 adults across U.S. in May 2020. These variables were compared with results survey February Participants who older (55+ years; M = 6.3, SD 2.0), identified as Native American/Alaska (M 6.8, 1.0) or Asian 6.0, those had contracted 2.0) knew someone 6.2, 1.7) reported higher perceived risk. Health behaviors,...
Recent studies show that inadequate knowledge and understanding about the SARS-CoV-2 COVID-19 by many people has contributed significantly to fueling conspiracy theories misinformation pandemic. This challenge further impacts people's behavior against public health guidelines in observing social distancing, wearing a facial mask, or self-isolation if exposed imminent threats. article attempts use visual presentation theoretical narratives explain science conceptual structure of COVID-19. The...
Non-pharmaceutical interventions minimize social contacts, hence the spread of respiratory pathogens such as influenza and SARS-CoV-2. Globally, there is a paucity contact data from workforce. In this study, we quantified two-day patterns among USA employees. Contacts were defined face-to-face conversations, involving physical touch or proximity to another individual collected using electronic self-kept diaries. Data over 4 rounds 2020–2021 during COVID-19 pandemic. Mean (standard deviation)...
Non-pharmaceutical interventions minimize social contacts, hence the spread of SARS-CoV-2. We quantified two-day contact patterns among USA employees from 2020-2021 during COVID-19 pandemic. Contacts were defined as face-to-face conversations, involving physical touch or proximity to another individual and collected using electronic diaries. Mean (standard deviation) contacts reported by 1,456 participants 2.5 (2.5), 8.2 (7.1), 9.2 (7.1) 10.1 (9.5) across round 1 (April-June 2020), 2...
Few sources have reported empirical social contact data from resource-poor settings. To address this shortfall, we recruited 1,363 participants rural and urban areas of Mozambique during the COVID-19 pandemic, determining age, sex, relation to for each person. Participants a mean 8.3 (95% CI 8.0-8.6) contacts per The rates were higher in site compared with (9.8 vs 6.8; p<0.01). Using mathematical models, noted vaccine effects when comparing (32%) synthetic (29%) matrices lower corresponding...
ABSTRACT Background Low-and-middle-income countries (LMICs) bear a disproportionate burden of communicable diseases. Social interaction data inform infectious disease models and prevention strategies. The variations in demographics contact patterns across ages, cultures, locations significantly impact dynamics pathogen transmission. LMICs lack sufficient social for modeling. Methods To address this gap, we will collect qualitative quantitative from eight study sites (encompassing both rural...
2. Abstract Importance Devising control strategies against diseases such as COVID-19 require understanding of contextual social mixing and contact patterns. There has been no standardized multi-site study conducted in workplace settings the United States that can be used to broadly inform pandemic preparedness policy these settings. Objective The aimed characterize patterns contacts across environments, including on-site or when teleworking. Design This was a cross-sectional non-probability...
Abstract Several people flocked to the Internet learn about SARS-CoV-2 and COVID-19 after outbreak in Wuhan, China, December 2019. As novel coronavirus spread rapidly worldwide was declared a global pandemic, public rushed platforms through Google search, online news outlets, social media platforms. This paper evaluates public’s web search pandemic possible impacts on attitude health guidelines. The results highlight four outcomes: First, significant population learned ongoing search....
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Abstract Objective Evaluate and map data science methods employed to solve health conditions of women, examine the problems tackled effectiveness. Research Method Text analytics, mapping, descriptive evaluation utilized in women-related research. Findings (i). The trends scholarships using indicate gaps between women men relating burden access health. (ii). coronavirus (SARS-CoV-2) outbreak ongoing COVID-19 pandemic tend widen identified gaps, increasing disease for while reducing There are...