scholarly journals The U.S. COVID-19 Trends and Impact Survey, 2020-2021: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing and vaccination

2021 ◽  
Author(s):  
Joshua A Salomon ◽  
Alex Reinhart ◽  
Alyssa Bilinski ◽  
Eu Jing Chua ◽  
Wichida La Motte-Kerr ◽  
...  
Keyword(s):  
Public Health ◽  
Real Time ◽  
Large Scale ◽  
Survey Methods ◽  
Health Priorities ◽  
Surveillance Systems ◽  
Cross Sectional ◽  
Essential Information ◽  
Public Health Reporting ◽  
The U.S

The U.S. COVID-19 Trends and Impact Survey (CTIS) is a large, cross-sectional, Internet-based survey that has operated continuously since April 6, 2020. By inviting a random sample of Facebook active users each day, CTIS collects information about COVID-19 symptoms, risks, mitigating behaviors, mental health, testing, vaccination, and other key priorities. The large scale of the survey -- over 20 million responses in its first year of operation -- allows tracking of trends over short timescales and allows comparisons at fine demographic and geographic detail. The survey has been repeatedly revised to respond to emerging public health priorities. In this paper, we describe the survey methods and content and give examples of CTIS results that illuminate key patterns and trends and help answer high-priority policy questions relevant to the COVID-19 epidemic and response. These results demonstrate how large online surveys can provide continuous, real-time indicators of important outcomes that are not subject to public health reporting delays and backlogs. The CTIS offers high value as a supplement to official reporting data by supplying essential information about behaviors, attitudes toward policy and preventive measures, economic impacts, and other topics not reported in public health surveillance systems.

scholarly journals The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination

2021 ◽  
Vol 118 (51) ◽  
pp. e2111454118 ◽  
Author(s):  
Joshua A. Salomon ◽  
Alex Reinhart ◽  
Alyssa Bilinski ◽  
Eu Jing Chua ◽  
Wichada La Motte-Kerr ◽  
...  
Keyword(s):  
Public Health ◽  
Real Time ◽  
Large Scale ◽  
Survey Methods ◽  
Health Priorities ◽  
Surveillance Systems ◽  
Cross Sectional ◽  
Essential Information ◽  
Public Health Reporting ◽  
The Us

The US COVID-19 Trends and Impact Survey (CTIS) is a large, cross-sectional, internet-based survey that has operated continuously since April 6, 2020. By inviting a random sample of Facebook active users each day, CTIS collects information about COVID-19 symptoms, risks, mitigating behaviors, mental health, testing, vaccination, and other key priorities. The large scale of the survey—over 20 million responses in its first year of operation—allows tracking of trends over short timescales and allows comparisons at fine demographic and geographic detail. The survey has been repeatedly revised to respond to emerging public health priorities. In this paper, we describe the survey methods and content and give examples of CTIS results that illuminate key patterns and trends and help answer high-priority policy questions relevant to the COVID-19 epidemic and response. These results demonstrate how large online surveys can provide continuous, real-time indicators of important outcomes that are not subject to public health reporting delays and backlogs. The CTIS offers high value as a supplement to official reporting data by supplying essential information about behaviors, attitudes toward policy and preventive measures, economic impacts, and other topics not reported in public health surveillance systems.

scholarly journals Public Health Workforce Burnout in the COVID-19 Response in the U.S.

2021 ◽  
Vol 18 (8) ◽  
pp. 4369
Author(s):  
Kahler W. Stone ◽  
Kristina W. Kintziger ◽  
Meredith A. Jagger ◽  
Jennifer A. Horney
Keyword(s):  
Public Health ◽  
Health Workforce ◽  
Work Experience ◽  
Large Scale ◽  
Health Workers ◽  
Public Health Workforce ◽  
Cross Sectional Survey ◽  
Public Health Response ◽  
Cross Sectional ◽  
The U.S

While the health impacts of the COVID-19 pandemic on frontline health care workers have been well described, the effects of the COVID-19 response on the U.S. public health workforce, which has been impacted by the prolonged public health response to the pandemic, has not been adequately characterized. A cross-sectional survey of public health professionals was conducted to assess mental and physical health, risk and protective factors for burnout, and short- and long-term career decisions during the pandemic response. The survey was completed online using the Qualtrics survey platform. Descriptive statistics and prevalence ratios (95% confidence intervals) were calculated. Among responses received from 23 August and 11 September 2020, 66.2% of public health workers reported burnout. Those with more work experience (1–4 vs. <1 years: prevalence ratio (PR) = 1.90, 95% confidence interval (CI) = 1.08−3.36; 5–9 vs. <1 years: PR = 1.89, CI = 1.07−3.34) or working in academic settings (vs. practice: PR = 1.31, CI = 1.08–1.58) were most likely to report burnout. As of September 2020, 23.6% fewer respondents planned to remain in the U.S. public health workforce for three or more years compared to their retrospectively reported January 2020 plans. A large-scale public health emergency response places unsustainable burdens on an already underfunded and understaffed public health workforce. Pandemic-related burnout threatens the U.S. public health workforce’s future when many challenges related to the ongoing COVID-19 response remain unaddressed.

scholarly journals The Necessity of Mobile Phone Technologies for Public Health Surveillance in Benin

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Yaovi M. G. Hounmanou ◽  
Murielle S. S. Agonsanou ◽  
Victorien Dougnon ◽  
Mahougnon H. B. Vodougnon ◽  
Ephraim M. Achoh ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Real Time ◽  
Smart Phone ◽  
Cross Sectional Study ◽  
Health Surveillance ◽  
Medical Professionals ◽  
Surveillance Systems ◽  
Cross Sectional ◽  
The Public ◽  
Phone Calls

A cross-sectional study was conducted in March 2016 to assess the need of mobile phone technologies for health surveillance and interventions in Benin. Questionnaires were administered to 130 individuals comprising 25 medical professionals, 33 veterinarians, and 72 respondents from the public. All respondents possess cell phones and 75%, 84%, and 100% of the public, medical professionals, and veterinarians, respectively, generally use them for medical purposes. 75% of respondents including 68% of medics, 84.8% of veterinarians, and 72.2% of the public acknowledged that the current surveillance systems are ineffective and do not capture and share real-time information. More than 92% of the all respondents confirmed that mobile phones have the potential to improve health surveillance in the country. All respondents reported adhering to a nascent project of mobile phone-based health surveillance and confirmed that there is no existing similar approach in the country. The most preferred methods by all respondents for effective implementation of such platform are phone calls (96.92%) followed by SMS (49.23%) and smart phone digital forms (41.53%). This study revealed urgent needs of mobile phone technologies for health surveillance and interventions in Benin for real-time surveillance and efficient disease prevention.

scholarly journals Data-Driven Decision Making and Proactive Citizen–Scientist Communication: A Cross-Sectional Study on COVID-19 Vaccination Adherence

Vaccines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1384
Author(s):  
Emil Syundyukov ◽  
Martins Mednis ◽  
Linda Zaharenko ◽  
Eva Pildegovica ◽  
Ieva Danovska ◽  
...  
Keyword(s):  
Public Health ◽  
Logistic Regression ◽  
Exploratory Study ◽  
Large Scale ◽  
Severe Disease ◽  
Data Driven ◽  
Personal Factors ◽  
Cross Sectional ◽  
Digital Platform ◽  
Factors Associated

Due to the severe impact of COVID-19 on public health, rollout of the vaccines must be large-scale. Current solutions are not intended to promote an active collaboration between communities and public health researchers. We aimed to develop a digital platform for communication between scientists and the general population, and to use it for an exploratory study on factors associated with vaccination readiness. The digital platform was developed in Latvia and was equipped with dynamic consent management. During a period of six weeks 467 participants were enrolled in the population-based cross-sectional exploratory study using this platform. We assessed demographics, COVID-19-related behavioral and personal factors, and reasons for vaccination. Logistic regression models adjusted for the level of education, anxiety, factors affecting the motivation to vaccinate, and risk of infection/severe disease were built to investigate their association with vaccination readiness. In the fully adjusted multiple logistic regression model, factors associated with vaccination readiness were anxiety (odds ratio, OR = 3.09 [95% confidence interval 1.88; 5.09]), feelings of social responsibility (OR = 1.61 [1.16; 2.22]), and trust in pharmaceutical companies (OR = 1.53 [1.03; 2.27]). The assessment of a large number of participants in a six-week period show the potential of a digital platform to create a data-driven dialogue on vaccination readiness.

scholarly journals The impact of the COVID-19 response on the provision of other public health services in the U.S.: A cross sectional study

2021 ◽  
Author(s):  
Kristina W. Kintziger ◽  
Kahler W. Stone ◽  
Meredith Jagger ◽  
Jennifer A. Horney
Keyword(s):  
Public Health ◽  
Health Services ◽  
Cross Sectional Study ◽  
Health Departments ◽  
Public Health Services ◽  
Cross Sectional ◽  
Career Plans ◽  
Public Health Departments ◽  
Essential Public Health Services ◽  
The U.S

Abstract Background Funding and staff formerly dedicated to routine public health tasks (e.g., responding to communicable and non-communicable diseases, investigating foodborne outbreaks, conducting routine surveillance) and services (e.g., environmental health, substance abuse, maternal-child health) may no longer be available in many public health departments due to the COVID-19 response. The objective of this study was to assess the extent to which staffing for essential public health services has been redirected to the COVID-19 response. Methods This is a cross-sectional study using a survey distributed through the Qualtrics platform. Individuals (N = 298) working in public health across governmental and academic public health departments in the U.S. during the ongoing COVID-19 pandemic response were surveyed. Survey items measured multiple domains including professional experience (i.e., training, years of experience, content expertise, job functions), mental and physical health status (i.e., generalized anxiety, depression, burnout), and career plans (i.e., pre-pandemic vs. current career plans). Results The total number of content expertise areas and programmatic functions covered by individual public health workers increased between January and September of 2020, with 26% (73 of 282) of respondents reporting an increase in both. The total number of respondents working in infectious disease and preparedness remained constant, while declines were reported in program evaluation (-36%) and health education (-27%) and increases were reported in disease investigation (+ 35%). Conclusions The provision of many essential public health functions and tasks have been limited or eliminated while the U.S. public health workforce responds to the COVID-19 pandemic. These findings highlight opportunities for funding and professional development of public health systems, both during and after the COVID-19 response, to help ensure the continuity of essential public health services, staffing sustainability, and preparedness for future public health emergencies in the U.S. Trial registration: Not applicable.

AHEAD: a data resource to support the Ending the HIV Epidemic in the US Initiative (Preprint)

2021 ◽  
Author(s):  
Patrick Sullivan ◽  
Cory R Woodyatt ◽  
Oskian Kouzouian ◽  
Kristen Parrish ◽  
Jennifer Taussig ◽  
...  
Keyword(s):  
Public Health ◽  
Data Visualization ◽  
Census Data ◽  
Quality Data ◽  
Surveillance Systems ◽  
Data Systems ◽  
Data Resource ◽  
Hiv Epidemic ◽  
Indicator Data ◽  
The U.S

UNSTRUCTURED Objectives: America’s HIV Epidemic Analysis Dashboard (AHEAD) is a data visualization tool that displays relevant data on the 6 HIV indicators provided by CDC that can be used to monitor progress towards ending the HIV epidemic in local communities across the U.S. The objective of AHEAD is to make data available to stakeholders that can be used to measure national and local progress towards 2025 and 2030 Ending the HIV Epidemic in the U.S. (EHE) goals and to help jurisdictions make local decisions that are grounded in high-quality data. Methods: AHEAD displays data from public health data systems (e.g., surveillance systems, Census data), organized around the six EHE indicators (incidence, knowledge of status, diagnoses, linkage to HIV medical care, viral suppression, and PrEP coverage). Data are displayed for each of the EHE priority areas (48 counties Washington, D.C. and San Juan, PR) which accounted for more than 50% of all U.S. HIV diagnoses in 2016 and 2017 and seven primarily Southern states with high rates of HIV in rural communities. AHEAD also displays data for the 43 remaining states for which data are available. Data features prioritize interactive data-visualization tools that allow users to compare indicator data stratified by sex at birth, race, age, and transmission category within a jurisdiction (when available) or compare data on EHE indicators between jurisdictions. Results: AHEAD was launched on August 14, 2020. In the 11 months since its launch, the Dashboard has been visited 26,591 times by 17,600 unique users. About a third of all users returned to the Dashboard at least once. On average, users engaged with 2.4 pages during their visit to the Dashboard, indicating that the average user goes beyond the informational landing page to engage with one or more pages of data and content. The most frequently visited content pages are the Jurisdictions webpages. Conclusions: The Ending the HIV Epidemic plan is described as a “whole of society” effort. Societal public health initiatives require objective indicators and require that all societal stakeholders have transparent access to indicator data at the level of the health jurisdictions responsible for meeting the goals of the plan. Data transparency empowers local stakeholders to track movement towards EHE goals, identify areas with needs for improvement, make data-informed adjustments to deploy the expertise and resources required to locally tailor and implement strategies to end the HIV epidemic in their jurisdiction.

Surveillance for Bloodborne Infections

1999 ◽  
Vol 82 (08) ◽  
pp. 494-499 ◽  
Author(s):  
Mary Chamberland
Keyword(s):  
Public Health ◽  
Public Health Practice ◽  
Emerging Infectious Diseases ◽  
Blood Substitute ◽  
Surveillance Systems ◽  
Institute Of Medicine ◽  
Blood Safety ◽  
Prevention Strategies ◽  
Public Health Response ◽  
The U.S

IntroductionSince blood is a biological product, it is a natural vehicle for transmission of infectious agents, and until an artificial blood substitute is developed, the risk of transfusion-transmitted infections will probably not be eliminated. Three agencies of the Department of Health and Human Services–the Centers for Disease Control and Prevention (CDC), Food and Drug Administration (FDA), and National Institutes of Health (NIH)–have collaborated with partners in local and state public health departments, academia, industry, and consumers to develop prevention strategies addressing emerging infectious disease threats to public health, including the safety of the U.S. blood supply. Four critical components of these prevention strategies are as follows: surveillance and response capabilities; integration of laboratory science and epidemiology (i.e., “applied research”) to optimize public health practice; prevention and control activities to enhance communication of public health information; and a strengthening of local, state, and federal infrastructures to support these activities.1 As highlighted by the Institute of Medicine, in its series of reports about the ongoing threat to health posed by emerging infectious diseases, surveillance is the critical lynchpin for the public health response to both known and unrecognized pathogenic threats.2 Surveillance data can be used to monitor and track temporal and demographic trends of disease, alert us to outbreaks or unexpected alterations in disease frequency or affected populations, serve as a basis for subsequent epidemiologic and laboratory investigations to describe the natural history of a disease or identify risk factors for its occurrence, and evaluate intervention strategies.2,3 This paper will review programs of surveillance in the U.S. to detect established and emerging infectious risks, with an emphasis on those that address blood safety. In addition, recent examples or case studies that illustrate the responsiveness of U.S. surveillance systems to blood safety issues will be presented.

Feasibility Study of Surveying the Adverse Drug Reaction Surveillance Systems in a Large Community of Hospitals

1992 ◽  
Vol 26 (3) ◽  
pp. 384-391 ◽  
Author(s):  
Abraham G. Hartzema ◽  
Miquel S. Porta ◽  
Hugh H. Tilson ◽  
Carlos R. Herrera ◽  
Jeffrey T. Moss ◽  
...  
Keyword(s):  
Adverse Drug Reaction ◽  
Drug Reaction ◽  
Surveillance System ◽  
Large Scale ◽  
Surveillance Systems ◽  
Harris County ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Uniform Definition ◽  
Definition Of

OBJECTIVE: To determine the feasibility of accurately assessing the types of hospital adverse drug reaction (ADR) surveillance systems. DESIGN: Cross-sectional survey by mailed, self-administered questionnaire followed by selected verification interviews. SETTING: Harris County, Texas. PARTICIPANTS: All hospitals in the county with different pharmacy directors. MAIN OUTCOME MEASURE: Self description of surveillance system and number of ADRs reported. RESULTS: Forty-nine of 61 hospitals (80 percent) responded to a questionnaire. Forty-seven (96 percent) of the responding hospitals collected information on ADRs with 11 (22 percent) describing their surveillance system as active. Those individuals most often cited as responsible for ADR surveillance included pharmacists, quality assurance personnel, and nurses. Data were verified by personal interviews for 10 hospitals. The number of ADRs reported during the interviews was significantly lower than that reported in the questionnaires. Overall, the reporting of fatal and severe ADRs were more reliable than the reporting of moderate ADRs. These differences were the result of inadequate documentation and the lack of a uniform definition of ADRs. CONCLUSIONS: These data suggest that a large-scale ongoing survey of surveillance systems and reported adverse event rates has limitations and the reliability of data derived from a questionnaire should be verified. To improve the accuracy of surveys used to monitor hospital ADR surveillance systems, it is essential to develop reliable definitions for classifying ADRs and surveillance methods, as well as accurate measures of ADR documentation procedures.

scholarly journals “Back to the Future”: Time for a Renaissance of Public Health Engineering

2019 ◽  
Vol 16 (3) ◽  
pp. 387
Author(s):  
Richard J. Gelting ◽  
Steven C. Chapra ◽  
Paul E. Nevin ◽  
David E. Harvey ◽  
David M. Gute
Keyword(s):  
Public Health ◽  
Native American ◽  
Alaska Native ◽  
Environmental Protection Agency ◽  
Large Scale ◽  
Public Health Practice ◽  
The United States ◽  
Modern World ◽  
Positive Health ◽  
The U.S

Public health has always been, and remains, an interdisciplinary field, and engineering was closely aligned with public health for many years. Indeed, the branch of engineering that has been known at various times as sanitary engineering, public health engineering, or environmental engineering was integral to the emergence of public health as a distinct discipline. However, in the United States (U.S.) during the 20th century, the academic preparation and practice of this branch of engineering became largely separated from public health. Various factors contributed to this separation, including an evolution in leadership roles within public health; increasing specialization within public health; and the emerging environmental movement, which led to the creation of the U.S. Environmental Protection Agency (EPA), with its emphasis on the natural environment. In this paper, we consider these factors in turn. We also present a case study example of public health engineering in current practice in the U.S. that has had large-scale positive health impacts through improving water and sanitation services in Native American and Alaska Native communities. We also consider briefly how to educate engineers to work in public health in the modern world, and the benefits and challenges associated with that process. We close by discussing the global implications of public health engineering and the need to re-integrate engineering into public health practice and strengthen the connection between the two fields.

scholarly journals A sequential test to compare the real-time fatality rates of a disease among multiple groups with an application to COVID-19 data

2021 ◽  
pp. 096228022110619
Author(s):  
Yuanke Qu ◽  
Chun Yin Lee ◽  
KF Lam
Keyword(s):  
Public Health ◽  
Real Time ◽  
Disease Severity ◽  
Null Hypothesis ◽  
Large Scale ◽  
Mainland China ◽  
Cumulative Number ◽  
Finite Sample ◽  
Test Statistic ◽  
Multiple Groups

Infectious diseases, such as the ongoing COVID-19 pandemic, pose a significant threat to public health globally. Fatality rate serves as a key indicator for the effectiveness of potential treatments or interventions. With limited time and understanding of novel emerging epidemics, comparisons of the fatality rates in real-time among different groups, say, divided by treatment, age, or area, have an important role to play in informing public health strategies. We propose a statistical test for the null hypothesis of equal real-time fatality rates across multiple groups during an ongoing epidemic. An elegant property of the proposed test statistic is that it converges to a Brownian motion under the null hypothesis, which allows one to develop a sequential testing approach for rejecting the null hypothesis at the earliest possible time when statistical evidence accumulates. This property is particularly important as scientists and clinicians are competing with time to identify possible treatments or effective interventions to combat the emerging epidemic. The method is widely applicable as it only requires the cumulative number of confirmed cases, deaths, and recoveries. A large-scale simulation study shows that the finite-sample performance of the proposed test is highly satisfactory. The proposed test is applied to compare the difference in disease severity among Wuhan, Hubei province (exclude Wuhan) and mainland China (exclude Hubei) from February to March 2020. The result suggests that the disease severity is potentially associated with the health care resource availability during the early phase of the COVID-19 pandemic in mainland China.

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