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  1. Article ; Online: Prioritizing COVID-19 tests based on participatory surveillance and spatial scanning.

    Leal-Neto, O B / Santos, F A S / Lee, J Y / Albuquerque, J O / Souza, W V

    International journal of medical informatics

    2020  Volume 143, Page(s) 104263

    Abstract: Objectives: This study aimed to identify, describe and analyze priority areas for COVID-19 testing combining participatory surveillance and traditional surveillance.: Design: It was carried out a descriptive transversal study in the city of Caruaru, ... ...

    Abstract Objectives: This study aimed to identify, describe and analyze priority areas for COVID-19 testing combining participatory surveillance and traditional surveillance.
    Design: It was carried out a descriptive transversal study in the city of Caruaru, Pernambuco state, Brazil, within the period of 20/02/2020 to 05/05/2020. Data included all official reports for influenza-like illness notified by the municipality health department and the self-reports collected through the participatory surveillance platform Brasil Sem Corona.
    Methods: We used linear regression and loess regression to verify a correlation between Participatory Surveillance (PS) and Traditional Surveillance (TS). Also a spatial scanning approach was deployed in order to identify risk clusters for COVID-19.
    Results: In Caruaru, the PS had 861 active users, presenting an average of 1.2 reports per user per week. The platform Brasil Sem Corona started on March 20th and since then, has been officially used by the Caruaru health authority to improve the quality of information from the traditional surveillance system. Regarding the respiratory syndrome cases from TS, 1588 individuals were positive for this clinical outcome. The spatial scanning analysis detected 18 clusters and 6 of them presented statistical significance (p-value < 0.1). Clusters 3 and 4 presented an overlapping area that was chosen by the local authority to deploy the COVID-19 serology, where 50 individuals were tested. From there, 32 % (n = 16) presented reagent results for antibodies related to COVID-19.
    Conclusion: Participatory surveillance is an effective epidemiological method to complement the traditional surveillance system in response to the COVID-19 pandemic by adding real-time spatial data to detect priority areas for COVID-19 testing.
    MeSH term(s) Adolescent ; Adult ; Algorithms ; Brazil/epidemiology ; COVID-19/diagnosis ; COVID-19 Testing ; Coronavirus Infections/diagnosis ; Humans ; Linear Models ; Middle Aged ; Pandemics ; Population Surveillance ; SARS-CoV-2 ; Self Report ; Spatial Analysis ; Young Adult
    Keywords covid19
    Language English
    Publishing date 2020-08-27
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 1466296-6
    ISSN 1872-8243 ; 1386-5056
    ISSN (online) 1872-8243
    ISSN 1386-5056
    DOI 10.1016/j.ijmedinf.2020.104263
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Prioritizing COVID-19 tests based on participatory surveillance and spatial scanning

    Leal-Neto, O B / Santos, F A S / Lee, J Y / Albuquerque, J O / Souza, W V

    Int J Med Inform

    Abstract: OBJECTIVES: This study aimed to identify, describe and analyze priority areas for COVID-19 testing combining participatory surveillance and traditional surveillance. DESIGN: It was carried out a descriptive transversal study in the city of Caruaru, ... ...

    Abstract OBJECTIVES: This study aimed to identify, describe and analyze priority areas for COVID-19 testing combining participatory surveillance and traditional surveillance. DESIGN: It was carried out a descriptive transversal study in the city of Caruaru, Pernambuco state, Brazil, within the period of 20/02/2020 to 05/05/2020. Data included all official reports for influenza-like illness notified by the municipality health department and the self-reports collected through the participatory surveillance platform Brasil Sem Corona. METHODS: We used linear regression and loess regression to verify a correlation between Participatory Surveillance (PS) and Traditional Surveillance (TS). Also a spatial scanning approach was deployed in order to identify risk clusters for COVID-19. RESULTS: In Caruaru, the PS had 861 active users, presenting an average of 1.2 reports per user per week. The platform Brasil Sem Corona started on March 20th and since then, has been officially used by the Caruaru health authority to improve the quality of information from the traditional surveillance system. Regarding the respiratory syndrome cases from TS, 1588 individuals were positive for this clinical outcome. The spatial scanning analysis detected 18 clusters and 6 of them presented statistical significance (p-value < 0.1). Clusters 3 and 4 presented an overlapping area that was chosen by the local authority to deploy the COVID-19 serology, where 50 individuals were tested. From there, 32 % (n = 16) presented reagent results for antibodies related to COVID-19. CONCLUSION: Participatory surveillance is an effective epidemiological method to complement the traditional surveillance system in response to the COVID-19 pandemic by adding real-time spatial data to detect priority areas for COVID-19 testing.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #731790
    Database COVID19

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  3. Article ; Online: Prioritizing COVID-19 tests based in Participatory Surveillance and Spatial Scanning.

    Leal Neto, O. B. / Santos, F. A. / Lee, J. Y. / Albuquerque, J. / Souza, W. V.

    Abstract: Objectives The aim of this study was to describe and analyze the generation of priority areas for Covid-19 testing combining participatory surveillance and traditional surveillance. Design The study is a descriptive transversal, where was performed in ... ...

    Abstract Objectives The aim of this study was to describe and analyze the generation of priority areas for Covid-19 testing combining participatory surveillance and traditional surveillance. Design The study is a descriptive transversal, where was performed in the city of Caruaru, Pernambuco state, within the period of 20/02/2020 to 05/05/2020. It was considered all official reports for flu syndromes notified by municipality health department and the data collected through the participatory surveillance platform Brasil Sem Corona. Methods To verify a correlation between Participatory Surveillance (PS) and Traditional Surveillance (TS), it was carried out a linear regression. Results The PS has showed in Caruaru 861 active users, presenting an average of 1.2 report per user per week. It was started in March 20th and is officially used by the local health authority in order to improve the quality of information from traditional surveillance system. Regarding to the respiratory syndrome cases from TS, it was found out 1,588 individuals that were positive for this clinical outcome. The spatial scanning analysis has detected 18 clusters and 6 of them have presented statistical significance (p-value < 0.1). Clusters 3 and 4 presented an overlapping and this area was chosen by local authority to deploy the Covid-19 serology, where 50 individuals were tested. From there, 32% (n=16) presented reagent results for antibodies related to Covid-19. Conclusion The use of alternative methods as participatory surveillance showed a relevant role taking advantage on the insertion at community levels to complement traditional surveillance system.
    Keywords covid19
    Publisher MedRxiv; WHO
    Document type Article ; Online
    DOI 10.1101/2020.05.25.20109058
    Database COVID19

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  4. Article ; Online: Prioritizing COVID-19 tests based on participatory surveillance and spatial scanning

    Leal-Neto, O.B / Santos, F.A.S / Lee, J.Y / Albuquerque, J.O / Souza, W.V

    International Journal of Medical Informatics

    2020  Volume 143, Page(s) 104263

    Keywords Health Informatics ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 1466296-6
    ISSN 1872-8243 ; 1386-5056
    ISSN (online) 1872-8243
    ISSN 1386-5056
    DOI 10.1016/j.ijmedinf.2020.104263
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Non-occupational and occupational factors associated with specific SARS-CoV-2 antibodies among Hospital Workers - a multicentre cross-sectional study

    Kahlert, C. R. / Persi, R. / Guesewell, S. / Egger, T. / Leal-Neto, O. B. / Sumer, J. / Flury, D. / Brucher, A. / Lemmenmeier, E. / Moeller, C. / Rieder, P. / Stocker, R. / Vuichard-Gysin, D. / Wiggli, B. / Albrich, W. C. / Babouee Flury, B. / Besold, U. / Fehr, J. / Kuster, S. P. /
    McGeer, A. / Risch, L. / Schlegel, M. / Vernazza, P. / Friedl, A. / Kohler, P.

    Abstract: Background Protecting healthcare workers (HCW) from Coronavirus Disease-19 (COVID-19) is critical to preserve the functioning of healthcare systems. We therefore assessed seroprevalence and identified risk factors for Severe Acute Respiratory Syndrome- ... ...

    Abstract Background Protecting healthcare workers (HCW) from Coronavirus Disease-19 (COVID-19) is critical to preserve the functioning of healthcare systems. We therefore assessed seroprevalence and identified risk factors for Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) seropositivity in this population. Methods Between June 22nd and August 15th 2020, employees from healthcare institutions in Northern/Eastern Switzerland were screened for SARS-CoV-2 antibodies. We recorded baseline characteristics, non-occupational and occupational risk factors. We used pairwise tests of associations and multivariable logistic regression to identify factors associated with seropositivity. Findings Among the 4664 included HCW from 23 healthcare facilities, 139 (3%) were seropositive. Non-occupational exposures independently associated with seropositivity were contact with a COVID-19 positive household (adjusted OR=54, 95%-CI: 31-97) and stay in a COVID 19 hotspot (aOR=2.2, 95%-CI: 1.1-3.9). Blood group 0 vs. non-0 (aOR=0.4, 95%-CI: 0.3-0.7), active smoking (aOR=0.5, 95%-CI: 0.3-0.9) and living with children <12 years (aOR=0.3, 95%-CI: 0.2-0.6) were associated with decreased risk. Occupational risk factors were close contact to COVID-19 patients (aOR=2.8, 95%-CI: 1.5-5.5), exposure to COVID-19 positive co-workers (aOR=2.0, 95%-CI: 1.2-3.1), poor knowledge of standard hygiene precautions (aOR=2.0, 95%-CI: 1.3-3.2), and frequent visits to the hospital canteen (aOR=1.9, 95%-CI: 1.2-3.1). Interpretation We identified several modifiable factors associated with SARS-CoV-2 seropositivity among our HCW. Living with COVID-19 positive households showed by far the strongest association. The lower risk among those living with children, even after correction for multiple confounders, is remarkable and merits further study. Funding Swiss National Sciences Foundation, Federal Office of Public Health, Health Department Canton of St. Gallen
    Keywords covid19
    Publisher MedRxiv; WHO
    Document type Article ; Online
    DOI 10.1101/2020.11.10.20229005
    Database COVID19

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