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Carolyn C. Cannuscio

Carolyn C. Cannuscio

· ScDVerified

University of Pennsylvania · Rehabilitation Medicine

Active 1997–2024

h-index52
Citations14.6k
Papers18357 last 5y
Funding
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Research topics

  • Sociology
  • Medicine
  • Political Science
  • Computer Science
  • Internet privacy
  • Social Science
  • Data science
  • Biology
  • Statistics
  • Virology
  • Zoology
  • Nursing
  • Medical education
  • Mathematics
  • Business
  • Ophthalmology
  • Family medicine
  • Public relations
  • Evolutionary biology

Selected publications

  • Multiple Introductions of SARS-CoV-2 Alpha and Delta Variants into White-Tailed Deer in Pennsylvania

    mBio · 2022 · 71 citations

    • Biology
    • Virology
    • Evolutionary biology

    Coronaviruses have been documented to replicate in numerous species of vertebrates, and multiple spillovers of coronaviruses from animals into humans have founded human epidemics. The COVID-19 epidemic likely derived from a spillover of SARS-CoV-2 from bats into humans, possibly via an intermediate host. There are now several examples of SARS-CoV-2 jumping from humans into other mammals, including mink and deer, creating the potential for new animal reservoirs from which spillback into humans could occur. For this reason, data on formation of new animal reservoirs is of great importance for understanding possible sources of future infection. Here, we identify extensive infection in white-tailed deer in Pennsylvania, including what appear to be multiple independent transmissions. Data further suggests possible transmission among deer. These data thus help identify a potential new animal reservoir and provide background information relevant to its management.

  • Consumer Views on Using Digital Data for COVID-19 Control in the United States

    JAMA Network Open · 2021 · 33 citations

    Senior authorCorresponding
    • Computer Science
    • Computer Science
    • Internet privacy

    Importance: Curbing COVID-19 transmission is currently the greatest global public health challenge. Consumer digital tools used to collect data, such as the Apple-Google digital contact tracing program, offer opportunities to reduce COVID-19 transmission but introduce privacy concerns. Objective: To assess uses of consumer digital information for COVID-19 control that US adults find acceptable and the factors associated with higher or lower approval of use of this information. Design, Setting, and Participants: This cross-sectional survey study obtained data from a nationally representative sample of 6284 US adults recruited by email from the web-based Ipsos KnowledgePanel in July 2020. Respondents evaluated scenarios reflecting uses of digital data for COVID-19 control (case identification, digital contact tracing, policy setting, and enforcement of quarantines). Main Outcomes and Measures: Levels of support for use of personal digital data in 9 scenarios to mitigate the spread of COVID-19 infection, rated on a Likert scale, ranging from 1 (strongly disagree) to 5 (strongly agree). Multivariable linear regression models were fitted for each scenario and included factors hypothesized to be associated with views about digital data use for COVID-19 mitigation measures. Black and Hispanic survey respondents were oversampled; thus, poststratification weights were used so that results are representative of the general US population. Results: Of 6284 individuals invited to participate in the study, 3547 responded, for a completion rate of 56%. A total of 1762 participants (52%) were female, 715 (21%) identified as Black, 790 (23%) identified as Hispanic, and 1224 (36%) were 60 years or older; mean (SD) age was 51.7 (16.6) years. Approval of scenarios was low, ranging from 28% to 43% (52%-67% when neutral responses were included). Differences were found based on digital data source (smartphone vs social media: coefficient, 0.29 [95% CI, 0.23-0.35]; P < .001; smart thermometer vs social media: coefficient, 0.09 [95% CI, 0.03-0.16]; P = .004). County COVID-19 rates (coefficient, -0.02; 95% CI, -0.16 to 0.13 for quartile 4 compared with quartile 1) and prior family diagnosis of COVID-19 (coefficient, 0.00; 95% CI, -0.25 to 0.25) were not associated with support. Compared with self-described liberal individuals, conservative (coefficient, -0.81; 95% CI, -0.96 to -0.66; P < .001) and moderate (coefficient, -0.52; 95% CI, -0.67 to -0.38; P < .001) individuals were less likely to support the scenarios. Similarly, large political differences were observed in support of the Apple-Google digital contact tracing program, with less support from conservative (coefficient, -0.99; 95% CI, -1.11 to -0.87; P < .001) and moderate (coefficient, -0.59; 95% CI, -0.69 to -0.48; P < .001) individuals compared with liberal individuals. Respondents from racial/ethnic minority groups were more supportive of the scenarios than were White, non-Hispanic respondents. For example, compared with White respondents, Black respondents were more supportive of the Apple-Google contact tracing program (coefficient, 0.20; 95% CI, 0.07-0.32; P = .002). Conclusions and Relevance: In this survey study of US adults, many were averse to their information being used on digital platforms to mitigate transmission of COVID-19. These findings suggest that in current and future pandemics, public health departments should use multiple strategies to gain public trust and accelerate adoption of tools such as digital contact tracing applications.

  • How Public Libraries Help Immigrants Adjust to Life in a New Country: A Review of the Literature

    Health Promotion Practice · 2021 · 28 citations

    • Sociology
    • Political Science
    • Public relations

    Public library programs and services offer opportunities to help immigrants navigate daily life in unfamiliar surroundings and a new language. For example, language classes address the social determinants of health as they encourage social participation and community ties and help develop friendships. The purpose of this research was to conduct a narrative literature review to understand how immigrants use public libraries and how public library services influence the social determinants of health for immigrant populations. Keyword searches were conducted on five databases to identify research papers that met the inclusion criteria: empirical studies published in English between 2000 and 2020 related to immigrants' use of public libraries. Thirty-one articles were included in the analysis. Thematic coding identified cross-cutting themes within the sample using the framework of the social-ecological model. Immigrants commonly use public libraries for programs (e.g., language learning), collections (e.g., borrowing books), and services (e.g., asking librarians questions). Immigrant patrons often reported satisfaction with library programs, services, and collections in the language of the host country. A frequent criticism was the relevance and accessibility of collections in their heritage language. In addition, library staff demographics often did not reflect those of immigrant patrons. Health-enhancing benefits associated with library use included increased confidence and self-esteem, cultural integration and preservation, trust and relationships (e.g., making friends), community awareness and engagement, and political integration. Future research and practice areas include collaboration between public health and library professionals to develop library programming that maximizes health and well-being among immigrants.

  • Evaluation of a multimedia marketing campaign to engage African American patients in glaucoma screening

    Preventive Medicine Reports · 2020 · 10 citations

    • Sociology
    • Medicine
    • Family medicine

    Our objective was to determine which messaging approaches from a marketing campaign were most effective in recruiting African American individuals to a glaucoma screening and research study. We conducted a multimedia marketing campaign in Philadelphia from 01/31/2018 to 06/30/2018. Messaging approaches included radio advertisements and interviews (conducted in partnership with a local radio station with a large African American listener base), print materials, event tables, and online postings. Participants received free glaucoma screenings and the opportunity to enroll in our glaucoma genetics study. These screenings allowed individuals with glaucoma to receive a full examination and treatment plan with a glaucoma specialist, as well as to contribute to future efforts to identify genetic variants underlying this disease. We compared inquiry, enrollment, and cost yield for each messaging approach. Our campaign resulted in 154 unique inquiries, with 98 patients receiving glaucoma screenings (64%) and 60 patients enrolling in our study (39%). Commercials on WURD radio yielded the highest number of inquiries (62%) and enrollments (62%), but at relatively high cost ($814/enrolled patient). The most inexpensive approach that yielded more than five enrollments was postcards ($429/enrolled patient). Our campaign suggests that high-frequency commercials and postcards distributed at targeted healthcare locations are particularly effective and affordable options for connecting with the African American community. Our findings can help to inform recruitment efforts for other understudied diseases in minority populations.

  • Health Policy and Privacy Challenges Associated With Digital Technology

    JAMA Network Open · 2020 · 105 citations

    Senior authorCorresponding
    • Computer Science
    • Data science
    • Computer Science

    Importance: Digital technology is part of everyday life. Digital interactions generate large amounts of data that can reveal information about the health of individual consumers (the digital health footprint). Objective: Τo describe health privacy challenges associated with digital technology. Design, Setting, and Participants: For this qualitative study, In-depth, semistructured, qualitative interviews were conducted with 26 key experts from diverse fields in the US between January 1 and July 31, 2018. Open-ended questions and hypothetical scenarios were used to identify sources of digital information that contribute to consumers' health-relevant digital footprints and challenges for health privacy. Participants also completed a survey instrument on which they rated the health relatedness of digital data sources. Main Outcomes and Measures: Health policy challenges associated with digital technology based on qualitative responses to expert interviews. Results: Although experts' ratings of digital data sources suggested a possible distinction between health and nonhealth data, qualitative interviews uniformly indicated that all data can be health data, particularly when aggregated across sources and time. Five key characteristics of the digital health footprint were associated with health privacy policy challenges: invisibility (people are unaware of how their data are tracked), inaccuracy (data in the digital health footprint can be inaccurate), immortality (data have no expiration date and are aggregated over time), marketability (data have immense commercial value and are frequently bought and sold), and identifiability (individuals can be readily reidentified and anonymity is nearly impossible to achieve). There are virtually no regulatory structures in the US to protect health privacy in the context of the digital health footprint. Conclusions and Relevance: The findings suggest that a sector-specific approach to digital technology privacy in the US may be associated with inadequate health privacy protections.

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