scholarly journals Participatory surveillance for COVID-19 trends detection in Brazil

2022 ◽  
Author(s):  
Salome Wittwer ◽  
Onicio Batista Leal Neto ◽  
Daniela Paolotti ◽  
Guilherme Lichand
Keyword(s):  
Surveillance System ◽  
Healthcare Providers ◽  
Disease Outbreaks ◽  
Infection Rates ◽  
Forecast Horizon ◽  
Web Based ◽  
High Participation ◽  
Participatory Surveillance ◽  
Data Collections ◽  
Comprehensive Surveillance

Abstract The ongoing COVID-19 pandemic has emphasized the necessity of a well-functioning surveillance system to detect and mitigate disease outbreaks. Traditional surveillance (TS) usually relies on healthcare providers and generally suffers from reporting lags that prevent immediate response plans. Participatory surveillance (PS), an innovative digital approach whereby individuals voluntarily monitor and report on their own health status via Web-based surveys, has emerged in the past decade to complement traditional data collections approaches. This study compares novel PS data on COVID-19 infection rates across nine Brazilian cities with official TS data to examine the opportunities and challenges of using the former, and the potential advantages of combining the two approaches. We find that high participation rates are key for PS data to adequately mirror TS infection rates. Where participation was high, we document a significant trend correlation between lagged PS data and TS infection rates, suggesting that the former could be used for early detection. In our data, forecasting models integrating both approaches increased accuracy up to 3% relative to a 14-day forecast horizon model based exclusively on TS data. Furthermore, we show that the PS data captures a population that significantly differs from the traditional observation. These results corroborate previous studies when it comes to the benefits of an integrated and comprehensive surveillance system, but also shed lights on its limitations, and on the need for additional research to improve future implementations of PS platforms.

scholarly journals Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System

2017 ◽  
Vol 3 (3) ◽  
pp. e48 ◽  
Author(s):  
Craig Dalton ◽  
Sandra Carlson ◽  
Michelle Butler ◽  
Daniel Cassano ◽  
Stephen Clarke ◽  
...  
Keyword(s):  
Surveillance System ◽  
Web Based ◽  
Participatory Surveillance

scholarly journals “Koman i lé” : An Online Self-Reported Symptoms Surveillance System in Reunion Island

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Nadège Marguerite ◽  
Pascal Vilain ◽  
Etienne Sévin ◽  
Farid Sahridji ◽  
Laurent Filleul
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Disease Outbreaks ◽  
Reunion Island ◽  
Web Based ◽  
Health Authorities ◽  
Major Outbreak ◽  
Policy Information ◽  
Réunion Island ◽  
Sentinel Population

In Reunion Island, the population is very sensitive to public health concerns. In this context, the health authorities implemented since April 2014 a web-based surveillance system, called “Koman i lé” and based on a volunteers' cohort in general population. This surveillance system allowed to follow the seasonal influenza epidemic in 2014 and the major outbreak of conjunctivitis from January to April 2015. In conclusion, the sentinel population allows the population of Reunion Island to take an active part in the health regional policy. Information reported by individuals can increase traditional public health methods for more timely detection of disease outbreaks.

Risk Factors Linked to Influenza-like Illness as Identified from the Mexican Participatory Surveillance System

2017 ◽  
Author(s):  
Christopher R. Stephens ◽  
Rocio Rodríguez-Ramírez ◽  
Victor Mireles ◽  
Sergio Hernández-López ◽  
Concepción Garcia-Aguirre ◽  
...  
Keyword(s):  
Risk Factors ◽  
Surveillance System ◽  
Influenza Like Illness ◽  
Participatory Surveillance

Abstract 247: Pilot Study Examining Heart Failure Patient Internet Use and Adherence to a Web Based Portal Designed to Support Self-Care.

2013 ◽  
Vol 6 (suppl_1) ◽  
Author(s):  
Redah Z Mahmood ◽  
Judith Grossi ◽  
Todd M Koelling
Keyword(s):  
Computer Use ◽  
Healthcare Providers ◽  
Intervention Group ◽  
Self Care ◽  
Web Based ◽  
Face To Face ◽  
Clinical Events ◽  
Home Based ◽  
Care Information ◽  
Use Of Internet

Background: Experts agree that HF patients should practice appropriate self-care behaviors to minimize the risk of adverse clinical events, including early unplanned readmissions. We sought to understand patient perceptions and adherence to a web-based system designed to support self-care of HF patients. Methods: 100 HF patients were surveyed regarding their computer use and attitudes toward using an internet based web-portal (WP) to support self-care, provide patient education, and communicate with healthcare providers (HCP’s). We then consented 42 patients to participate in a 12 week trial of using the WP to track clinical parameters (daily weights, blood pressure, sodium/fluid intake, exercise), provide links for HF self-education, and update HCP’s on their progress. Patients received a face to face teaching session on accessing and using the WP. Results: The computer use survey (N=100) demonstrated that 72% of patients reported having a computer at home, 67% used email and 71% used the internet. In the WP intervention group (N=41) only 24 (58.5%) were able to successfully access the WP and enter data during the pilot (see table 1). Conclusions: Pilot data showed a significant positive correlation (see table 1) between patients indicating use of internet to access heaIth care information (HCI) and adherence with the WP. Despite strong interest to use a home based WP for self-care and communication with providers, we found that many hurdles prevented patients from using the WP. Internet based educational tools for HF patients may be desirable, but limitations in patients’ ability to access internet based programs may ultimately render the tools ineffective.

scholarly journals SurvNet Electronic Surveillance System for Infectious Disease Outbreaks, Germany

2007 ◽  
Vol 13 (10) ◽  
pp. 1548-1555 ◽  
Author(s):  
Gérard Krause ◽  
Doris Altmann ◽  
Daniel Faensen ◽  
Klaudia Porten ◽  
Justus Benzler ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Surveillance System ◽  
Disease Outbreaks ◽  
Electronic Surveillance ◽  
Infectious Disease Outbreaks

scholarly journals Handwash versus hand-rub practices for preventing nosocomial infection in hospital intensive care units: A systematic review and meta-analysis

2020 ◽  
pp. 82-90
Author(s):  
S Bello ◽  
EA Bamgboye ◽  
DT Ajayi ◽  
EN Ossai ◽  
EC Aniwada ◽  
...  
Keyword(s):  
Systematic Review ◽  
Intensive Care ◽  
Adverse Events ◽  
Nosocomial Infection ◽  
Intensive Care Units ◽  
Meta Analysis ◽  
Healthcare Providers ◽  
Length Of Hospital Stay ◽  
Clinical Effectiveness ◽  
Infection Rates

Background: Compliance with handwashing in busy healthcare facilities, such as intensive care units (ICUs), is suboptimal and alcohol hand-rub preparations have been suggested to improve compliance. There is no evidence on the comparative effectiveness between handwash and hand-rub strategies. This systematic review was to assess the effectiveness of handwash versus hand-rub strategies for preventing nosocomial infection in ICUs. Methods Studies conducted in ICUs and indexed in PubMed comparing the clinical effectiveness and adverse events between handwash and hand-rub groups were included in a systematic review. The primary outcome was nosocomial infection rates. Secondary outcomes included microbial counts on healthcare providers’ hands, mortality rates, patient/hospital cost of treatment of healthcare-associated infections (HCAIs), length of ICU/hospital stays, and adverse events. Studies were independently screened and data extracted by at least two authors. Meta-analyses of risk ratios (RR), incidence rate ratios (IRR), odds ratios (OR) and mean differences (MD), were conducted using the RevMan 5.3 software. Results: Seven studies published between 1992-2009 and involving a total of 11,663 patients were included. Five studies (10,981 patients) contributed data to the ICU acquired nosocomial infection rates. The pooled IRR was 0.71 (95% CI 0.61, 0.82; I2 = 94%). On sensitivity analysis, pooled IRR was 0.39 (95% CI 0.32, 0.48; 4 studies; 8,247 patients; I2 = 0%) in favour of hand rub. The pooled OR for mortality was 0.95 (95% CI 0.78, 1.61; 4 studies; 3,475 patients; I2 = 39%). The pooled MD for length of hospital stay was -0.74 (95% CI -2.83, 1.34; 3 studies; 741 patients; I2 = 0%). The pooled OR for an undesirable skin effect was 0.37 (95% CI 0.23, 0.60; 3 studies;1504 patients; I2 = 0%) in favour of hand rub. Overall quality of evidence was low. Conclusion: Hand rub appeared more effective when compared to handwash in ICUs.

scholarly journals Development of a tool to assess health applications for healthcare providers: A Delphi Expert Panel Study (Preprint)

2020 ◽  
Author(s):  
Immaculada Grau-Corral ◽  
Percy Efran Pantoja ◽  
Francisco J. Grajales III ◽  
Belchin Kostov ◽  
Valentí Aragunde ◽  
...  
Keyword(s):  
Literature Review ◽  
Health Care Providers ◽  
Expert Panel ◽  
Panel Study ◽  
Healthcare Providers ◽  
Care Providers ◽  
Web Based ◽  
Health Apps ◽  
Agreement Assessment ◽  
Health Applications

BACKGROUND The presence of the mobile phone and devices is generating knowledge about the use of applications to support patient care, but there are few recommendations for apps dedicated to healthcare professionals OBJECTIVE To establish a validated scale to assess healthcare mobile applications is the most efficient step for health care providers and systems. The main goal is to create and validate a tool to evaluate health apps destined to be used by health professionals. METHODS A five steps simplified methodology to assess of the scale was followed. The first step consists of building a scale for professionals based on a literature review. Next step would be an expert panel validation by a Delphi method, rating web-based questionnaires to evaluate inclusion and weight of the indicators. It was agreed to carry out, as many iterations as necessary, to reach a consensus of 75%. Finally, a pilot of the score was developed to evaluate the reliability of the scale. For the inter-rater agreement assessment during the pilot, the Cohen Kappa was used. RESULTS After the literature review, a first scale draft was developed. Two rounds of interactions of the local investigation group and the external panel of experts were needed to select final indicators. Seventeen indicators were included in the score. For the pilot test, 280 apps were evaluated and 66 meet the criteria. The interrater agreement was strong (higher than 82% with significant kappa >0.72 per app and item). CONCLUSIONS We have developed, with a reproducible methodology, a tool that allows us to evaluate health applications for clinical, surgical and general medical providers. The ISYScore-PRO scale to be reliable and reproducible. The assessment permitted to consolidate every step of the methodology. We were able to reach consensus on the dimensions and items on the scale with only two rounds. The process of validation included two robust methodologies. The ISYScore-PRO scale is reliable and reproducible.

scholarly journals MULTI-FACTOR AUTHENTICATION AT JAGGED PEAK

10.28945/3557 ◽  
2016 ◽  
Vol 1 ◽  
pp. 001-016
Author(s):  
Grandon Gill ◽  
Joni Jones
Keyword(s):  
Healthcare Providers ◽  
Cost Effective ◽  
Third Party ◽  
Security Measures ◽  
Web Based ◽  
User Training ◽  
Gift Cards ◽  
Security Challenge ◽  
Security Questions ◽  
Risk Managers

Jeffrey Stiles pondered these seemingly straightforward questions. As IT Director of Jagged Peak, Inc., a developer of e-commerce solutions located in the Tampa Bay region of Florida, it would be his responsibility to oversee the implementation of security measures that went beyond the existing user name and password currently required for each user. Recent events suggested that a move towards increased security might be inevitable. In just the past year, highly publicized security failures at the U.S. Department of Defense, major healthcare providers and large companies, such as Sony and JP Morgan Chase, had made executives acutely aware of the adverse consequences of IT system vulnerabilities. In fact, a study of business risk managers conducted in 2014 found that 69% of all businesses had experienced some level of hacking in the previous year. The nature of Jagged Peak’s business made the security of its systems a particular concern. The company, which had grown rapidly over the years, reporting over $61 million in revenue in 2014, provided its customers with software that supported web-based ordering, fulfillment and logistics activities, built around a philosophy of “buy anywhere, fulfill anywhere, return anywhere”. To support these activities, the company’s Edge platform needed to handle a variety of payment types, including gift cards (a recent target of hackers), as well as sensitive personal identifying information (PII). Compounding the security challenge: each customer ran its own instance of the Edge platform, and managed its own users. When only a single customer was being considered, the addition of further layers of security to authenticate uses was an eminently solvable problem. A variety of alternative approaches existed, including the use of various biometrics, key fobs that provided codes the user could enter, personalized security questions, and many others. The problem was that where multiple customers were involved, it was much more difficult to form a consensus. One customer might object to biometrics because it users lacked the necessary hardware. Another might object to security keys as being too costly, easily stolen or lost. Personalized questions might be considered too failure-prone by some customers. Furthermore, it was not clear that adding additional layers of authentication would necessarily be the most cost-effective way to reduce vulnerability. Other approaches, such as user training might provide greater value. Even if Stiles decided to proceed with additional authentication, questions remained. Mandatory or a free/added-cost option? Developed in house or by a third party? Used for internal systems only, customer platforms only, or both? Implementation could not begin until these broad questions were answered.

scholarly journals Participatory Surveillance of COVID-19 in Lesotho via Weekly Calls: Protocol for Cell Phone Data Collection (Preprint)

2021 ◽  
Author(s):  
Abigail R Greenleaf ◽  
Gerald Mwima ◽  
Molibeli Lethoko ◽  
Martha Conkling ◽  
George Keefer ◽  
...  
Keyword(s):  
Data Collection ◽  
Surveillance System ◽  
Cell Phone ◽  
Diarrheal Disease ◽  
Cell Phones ◽  
Population Based ◽  
Noncommunicable Diseases ◽  
Future Research ◽  
Face To Face ◽  
Participatory Surveillance

BACKGROUND The increase in cell phone ownership in low- and middle-income countries (LMIC) has created an opportunity for low-cost, rapid data collection by calling participants on their cell phones. Cell phones can be mobilized for a myriad of data collection purposes, including surveillance. In LMIC, cell phone–based surveillance has been used to track Ebola, measles, acute flaccid paralysis, and diarrheal disease, as well as noncommunicable diseases. Phone-based surveillance in LMIC is a particularly pertinent, burgeoning approach in the context of the COVID-19 pandemic. Participatory surveillance via cell phone could allow governments to assess burden of disease and complements existing surveillance systems. OBJECTIVE We describe the protocol for the LeCellPHIA (Lesotho Cell Phone PHIA) project, a cell phone surveillance system that collects weekly population-based data on influenza-like illness (ILI) in Lesotho by calling a representative sample of a recent face-to-face survey. METHODS We established a phone-based surveillance system to collect ILI symptoms from approximately 1700 participants who had participated in a recent face-to-face survey in Lesotho, the Population-based HIV Impact Assessment (PHIA) Survey. Of the 15,267 PHIA participants who were over 18 years old, 11,975 (78.44%) consented to future research and provided a valid phone number. We followed the PHIA sample design and included 342 primary sampling units from 10 districts. We randomly selected 5 households from each primary sampling unit that had an eligible participant and sampled 1 person per household. We oversampled the elderly, as they are more likely to be affected by COVID-19. A 3-day Zoom training was conducted in June 2020 to train LeCellPHIA interviewers. RESULTS The surveillance system launched July 1, 2020, beginning with a 2-week enrollment period followed by weekly calls that will continue until September 30, 2022. Of the 11,975 phone numbers that were in the sample frame, 3020 were sampled, and 1778 were enrolled. CONCLUSIONS The surveillance system will track COVID-19 in a resource-limited setting. The novel approach of a weekly cell phone–based surveillance system can be used to track other health outcomes, and this protocol provides information about how to implement such a system. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/31236

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