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      Diseño de un sistema de vigilancia epidemiológica hospitalaria pospandemia Translated title: Design of a post-pandemic´s hospital epidemiological surveillance system

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          Abstract

          RESUMEN Introducción: El desescalamiento de las medidas para controlar la epidemia por la COVID-19 en Cuba no exonera la vigilancia permanente para evitar rebrotes. Objetivo: Mostrar el diseño de un sistema de vigilancia epidemiológica hospitalaria para la detección precoz de casos sospechosos en la etapa pos COVID-19. Métodos: Investigación cualitativa. Se localizó información en las bases de datos Lilacs, Ebsco e Hinari con los descriptores: vigilancia en salud, monitoreo epidemiológico y servicios de vigilancia epidemiológica. A partir de las definiciones de casos objeto de vigilancia, se definieron los objetivos del sistema, premisas, atributos y subsistemas. Se tuvo en cuenta la metodología utilizada en un sistema de vigilancia en Cuba desarrollado y modificado por especialistas cubanos. Resultados: El sistema se estructura a partir de cuatro componentes: entrada de datos, procesamiento de los datos obtenidos de encuestas epidemiológicas aplicadas a pacientes y acompañantes, salida de la información con la descripción del tipo de caso y retroalimentación; está conformado por cuatro subsistemas: Diagnóstico Clínico, de Laboratorio, Epidemiológico y Estadístico. El sistema ha detectado precozmente casos sospechosos en pacientes hospitalizados, previo a la intervención quirúrgica y a otros procederes mínimos invasivos. Conclusiones: Se muestra el diseño de un sistema de vigilancia epidemiológica hospitalaria, como herramienta de trabajo, conformado por cuatro subsistemas para obtener los datos que facilitan la detección precoz de casos sospechosos de COVID-19 y su confirmación y establecer acciones de prevención y control del riesgo tanto para el Centro Nacional de Cirugía de Mínimo Acceso como para las organizaciones involucradas

          Translated abstract

          ABSTRACT Introduction: Cuba prepares for recovery and for keeping the COVID-19 epidemic under control in the national territory. Gradual de-escalation of measures until getting into the new normal does not exempt permanent surveillance to avoid new outbreaks. Objective: Show the procedure used in the design of a hospital epidemiological surveillance´s system for the early detection of suspected cases in the pos-COVID-19 stage. Methods: Qualitative research. It was located information in the databases Lilacs, Ebsco and Hinari with the descriptors: health surveillance, epidemiological monitoring, and services of epidemiological surveillance. From the definition of cases under surveillance, there were defined the objectives of the system, premises, attributes and subsystems. It was taken into account the methodology used in a surveillance system in Cuba which was developed and modified by Cuban specialists. Results: The system is structured from four components: data entry, processing of data collected in epidemiological surveys applied to patients and their companions, and data output with the description of the type of case and feedback. This is also formed by four subsystems: clinical diagnosis, laboratory diagnosis, epidemiological diagnosis and statistical diagnosis. The system has early detected suspicious cases in hospitalized patients before surgical interventions and other minimal invasive procedures. Conclusions: A hospital epidemiological surveillance system is designed as a working tool for obtaining information that facilitates the early detection of COVID-19 suspected cases and their confirmation, and to establish risk prevention and control actions for both the National Center of Minimal Access Surgery and the organizations involved.

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          Epidemiologic surveillance for controlling Covid-19 pandemic: types, Challenges and implications

          The objectives of the study was to determine the types, challenges and implications of surveillance methods for controlling Covid-19 pandemic. An integrative article review was done. The source of data were documents from WHO, Euro-surveillance, CDC, Saudi CDC, MOH, and journals from PubMed, Medline, etc. The inclusion searching criteria were surveillance, Covid-19, types, benefits and challenges, during the period 2005−2020. Published studies, reviews and guidelines that determined these criteria were collected. Data extraction and analysis were completed for all included articles. A critical appraisal was done based on the University of Michigan Practice Guideline’s levels of evidence. The final sample for the integrative review comprised 30 studies. Results revealed that types of Covid-9 surveillance includes routine surveillance (comprehensive, case-based, and aggregated weakly methods), active, wildlife, syndromic, sentinel and sentinel-syndromic methods. Laboratory and hospital-based surveillance are another important types. Help-lines, surveys, participatory electronic, digital and event-based surveillance are relatively new cost-effective methods. Many surveillance indicators can be calculated. Timely and accurate of surveillance data is an essential element for effective Covid-19 interventions. Regarding challenges, the quality of surveillance in developing countries is constrained by resources and training. The main limitations of surveillance are under-ascertainment/under-reporting, lack of timeliness and completeness of surveillance data. In conclusion, surveillance is a cornerstones for controlling Covid-19 pandemic. Enhancing Covid-19 surveillance is vital for rapid cases detection, containing spread & ending pandemic.
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            Preparación y control de la enfermedad por coronavirus 2019 (COVID-19) en América Latina

            Durante las últimas décadas, el mundo se ha expuesto a una serie de amenazas por brotes virales emergentes de diferente índole, los cuales, sólo al estudiarlos en detalle, surge la posibilidad de comprender su verdadero impacto, no sólo de forma inmediata, si no también, a largo plazo. Recientemente, el 12 de diciembre de 2019, la Comisión Municipal de Salud de Wuhan, en la República Popular de China, hizo público un reporte de 27 casos humanos quienes cursaron con una neumonía viral, de los cuales 7 pacientes se encontraban en condiciones críticas, la cual tenía como etiología un nuevo patógeno humano con alta capacidad zoonótica, conocido provisionalmente como Coronavirus novel 2019 (2019-nCoV), y unas semanas después como Enfermedad por Coronavirus 2019 (COVID-19) causada por el virus SARS-CoV-2.
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              Rapid Sentinel Surveillance for COVID-19 — Santa Clara County, California, March 2020

              On February 27, 2020, the Santa Clara County Public Health Department (SCCPHD) identified its first case of coronavirus disease 2019 (COVID-19) associated with probable community transmission (i.e., infection among persons without a known exposure by travel or close contact with a patient with confirmed COVID-19). At the time the investigation began, testing guidance recommended focusing on persons with clinical findings of lower respiratory illness and travel to an affected area or an epidemiologic link to a laboratory-confirmed COVID-19 case, or on persons hospitalized for severe respiratory disease and no alternative diagnosis ( 1 ). To rapidly understand the extent of COVID-19 in the community, SCCPHD, the California Department of Public Health (CDPH), and CDC began sentinel surveillance in Santa Clara County. During March 5–14, 2020, four urgent care centers in Santa Clara County participated as sentinel sites. For this investigation, county residents evaluated for respiratory symptoms (e.g., fever, cough, or shortness of breath) who had no known risk for COVID-19 were identified at participating urgent care centers. A convenience sample of specimens that tested negative for influenza virus was tested for SARS-CoV-2 RNA. Among 226 patients who met the inclusion criteria, 23% had positive test results for influenza. Among patients who had negative test results for influenza, 79 specimens were tested for SARS-CoV-2, and 11% had evidence of infection. This sentinel surveillance system helped confirm community transmission of SARS-CoV-2 in Santa Clara County. As a result of these data and an increasing number of cases with no known source of transmission, the county initiated a series of community mitigation strategies. Detection of community transmission is critical for informing response activities, including testing criteria, quarantine guidance, investigation protocols, and community mitigation measures ( 2 ). Sentinel surveillance in outpatient settings and emergency departments, implemented together with hospital-based surveillance, mortality surveillance, and serologic surveys, can provide a robust approach to monitor the epidemiology of COVID-19. During March 5–14, 2020, four urgent care centers in Santa Clara County were selected to participate as sentinel sites based on varied geographic locations throughout the county, diversity in adult and pediatric patient populations served by the centers, and staffing and resource capacity to collect and transport specimens. For this investigation, county residents evaluated with respiratory symptoms (e.g., fever, cough, or shortness of breath) who had no recent travel to an area outside the United States with sustained COVID-19 transmission and no known close contact with a patient with confirmed COVID-19 were identified at one of the four participating urgent care centers. Health care providers obtained a nasopharyngeal swab for influenza virus testing as part of routine clinical care and notified participants that their specimen might be tested for SARS-CoV-2. Because of limited testing capacity, a convenience sample of the first 5–10 specimens that tested negative for influenza virus each day were sent to the Santa Clara County Public Health Laboratory for SARS-CoV-2 testing using the CDC 2019-nCoV real-time reverse transcription–polymerase chain reaction assay ( 3 ). SARS-CoV-2 test results, age, and sex of each patient were reported to SCCPHD. Potential differences among patients who were and were not tested for SARS-CoV-2 could not be examined in this investigation. During the investigation period, 226 patients seen at one of the four urgent care centers met the inclusion criteria (i.e., Santa Clara county resident, respiratory symptoms, no recent travel, and no known close contact with a patient with confirmed COVID-19) and were tested for evidence of influenza virus infection; among those, 53 (23%) had positive test results for influenza. Among the remaining 173 patients with negative test results for influenza, 79 specimens were tested for SARS-CoV-2; of those, nine (11%) had evidence of SARS-CoV-2 infection. Persons with positive test results for COVID-19 were adults with a median age of 46 years (range = 30–57 years); six (67%) were female. Among the 70 patients with negative SARS-CoV-2 test results, 51 (73%) were adults aged ≥18 years, and the median age was 31 years (range 6 months–81 years); 39 (56%) were female. Patients with positive test results for COVID-19 were notified and placed in isolation, case investigations and contact tracing were initiated, and positive test results were reported to CDPH and CDC. Discussion Identification of cases from this sentinel surveillance system helped confirm community transmission of SARS-CoV-2 in Santa Clara County. Among county residents evaluated at participating urgent care centers in early March with respiratory illness and no known exposure to SARS-CoV-2, approximately one quarter had positive test results for influenza, but 11% of patients with negative test results for influenza had positive test results for COVID-19. If it is assumed there were no influenza and SARS-CoV-2 coinfections and that persons with negative test results for influenza and not tested for SARS-CoV-2 were similar to those who were tested, then an estimated 8% (19 of 226) of persons seen at participating urgent care centers with respiratory symptoms had COVID-19. This is similar to the 5% SARS-CoV-2 infection rate identified among patients evaluated for mild influenza-like illness at one Los Angeles medical center during a similar time frame ( 4 ). The findings in this report are subject to at least two limitations. First, SARS-CoV-2 testing was performed on a convenience sample of specimens that tested negative for influenza. Second, the findings are based on a small number of patients evaluated for respiratory illness at four participating sentinel sites and might not be representative of the broader community. However, as a result of these data and an increasing number of cases with no known source of transmission in Santa Clara County, the county initiated a series of community mitigation strategies to slow the spread of SARS-CoV-2. On March 9, the county issued recommendations to cancel gatherings of ≥1,000 people and to take action to protect vulnerable populations (e.g., older adults).* On March 16, Santa Clara County and five adjacent counties joined to order all residents to shelter in place and all schools, businesses, and government agencies to cease nonessential operations ( 5 ). Santa Clara County also posted updated community mitigation guidance and recommendations for populations at high risk, long-term care facilities, and hospitals ( 6 ). Early implementation of community intervention is likely essential to maximize its effectiveness in slowing the spread of SARS-CoV-2 ( 2 ). Local public health departments can use sentinel surveillance to assess the level of community transmission of COVID-19 and to better guide the selection and implementation of community mitigation measures, including the scale, timing, duration, and settings in which to focus these strategies ( 7 ). Sentinel surveillance in outpatient settings and emergency departments, implemented together with hospital-based surveillance, mortality surveillance, and serologic surveys, can provide a robust, multifaceted approach to monitor the epidemiology of COVID-19. Summary What is already known about this topic? On February 27, 2020, Santa Clara County, California, identified its first case of coronavirus disease 2019 (COVID-19) associated with probable community transmission. What is added by this report? During March 5–14, among patients with respiratory symptoms evaluated at one of four Santa Clara County urgent care centers serving as sentinel surveillance sites, 23% had positive test results for influenza. Among a subset of patients with negative test results for influenza, 11% had positive test results for COVID-19. What are the implications for public health practice? COVID-19 cases identified through this sentinel surveillance system helped confirm community transmission in the county. Local health departments can use sentinel surveillance to understand the level of community transmission of COVID-19 and to better guide the selection and implementation of community mitigation measures.
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                Author and article information

                Journal
                hie
                Revista Cubana de Higiene y Epidemiología
                Rev Cubana Hig Epidemiol
                Editorial Ciencias Médicas (Ciudad de la Habana, , Cuba )
                1561-3003
                2020
                : 57
                : e393
                Affiliations
                [1] La Habana orgnameCentro Nacional de Cirugía de Mínimo Acceso Cuba
                Article
                S1561-30032020000100016 S1561-3003(20)05700000016
                9b128ab4-3ecf-43a3-9c0d-29f453aa2f92

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 10 July 2020
                : 04 September 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 20, Pages: 0
                Product

                SciELO Cuba

                Categories
                VIGILANCIA EN SALUD

                health surveillance,epidemiological monitoring,epidemiological surveillance services,vigilancia en salud,monitoreo epidemiológico,servicios de vigilancia epidemiológica.

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