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      SARS-CoV-2 IgG Antibodies Seroprevalence and Sera Neutralizing Activity in MEXICO: A National Cross-Sectional Study during 2020

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          Abstract

          Until recently, the incidence of COVID-19 was primarily estimated using molecular diagnostic methods. However, the number of cases is vastly underreported using these methods. Seroprevalence studies estimate cumulative infection incidences and allow monitoring of transmission dynamics, and the presence of neutralizing antibodies in the population. In February 2020, the Mexican Social Security Institute began conducting anonymous unrelated sampling of residual sera from specimens across the country, excluding patients with fever within the previous two weeks and/or patients with an acute respiratory infection. Sampling was carried out weekly and began 17 days before Mexico’s first officially confirmed case. The 24,273 sera obtained were analyzed by chemiluminescent-linked immunosorbent assay (CLIA) IgG S1/S2 and, later, positive cases using this technique were also analyzed to determine the rate of neutralization using the enzyme-linked immunosorbent assay (ELISA). We identified 40 CLIA IgG positive cases before the first official report of SARS-CoV-2 infection in Mexico. The national seroprevalence was 3.5% in February and 33.5% in December. Neutralizing activity among IgG positives patients during overall study period was 86.1%. The extent of the SARS-CoV-2 infection in Mexico is 21 times higher than that reported by molecular techniques. Although the general population is still far from achieving herd immunity, epidemiological indicators should be re-estimated based on serological studies of this type.

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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            A Novel Coronavirus from Patients with Pneumonia in China, 2019

            Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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              Severe Covid-19

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Microorganisms
                Microorganisms
                microorganisms
                Microorganisms
                MDPI
                2076-2607
                15 April 2021
                April 2021
                : 9
                : 4
                : 850
                Affiliations
                [1 ]División de Laboratorios de Vigilancia e Investigación Epidemiológica, IMSS, 07760 Ciudad de México, Mexico; eban10@ 123456hotmail.com (J.E.M.-M.); cest03@ 123456gmail.com (C.E.S.-T.)
                [2 ]Coordinación de Control Técnico e Insumos, IMSS, 07760 Ciudad de México, Mexico; concepcion.grajales@ 123456imss.gob.mx (C.G.-M.); teresita.rojas@ 123456imss.gob.mx (T.R.-M.)
                [3 ]Estancia Posdoctoral (CONACyT), Laboratorio Central de Epidemiología, IMSS, 02990 Ciudad de México, Mexico; salas_lais@ 123456yahoo.com.mx
                [4 ]Escuela Nacional de Ciencias Biológicas, IPN, 11340 Ciudad de México, Mexico; larissamatano@ 123456gmail.com
                [5 ]Unidad de Investigación Médica en Inmunoquímica, UMAE Hospital de Especialidades, Centro Médico Nacional “Siglo XXI”, IMSS, 06720 Ciudad de México, Mexico; constantino.lopez@ 123456imss.gob.mx (C.L.-M.); ruthmaderas@ 123456hotmail.com (R.L.M.-S.); vanessa.rivero.207@ 123456gmail.com (V.R.-A.)
                [6 ]Laboratorio de Genómica, Departamento de Genética y Genómica Humana, Instituto Nacional de Perinatología “Isidro Espinosa de los Reyes”, 11000 Ciudad de México, Mexico; irmae4901@ 123456gmail.com
                [7 ]Laboratorio Central de Epidemiología, IMSS, 02990 Ciudad de México, Mexico; sc_arechavaleta@ 123456hotmail.com (A.S.C.-A.); ilianapalomec@ 123456gmail.com (I.D.P.-N.); julio.alvaradoy@ 123456imss.gob.mx (J.E.A.-Y.)
                [8 ]Dirección de Prestaciones Médicas, IMSS, 06600 Ciudad de México, Mexico; celida.duque@ 123456imss.gob.mx
                [9 ]Coordinación de Investigación en Salud, 06720 Ciudad de México, Mexico; joaquin.gonzalezi@ 123456imss.gob.mx (J.G.-I.); cesar.gonzalezb@ 123456imss.gob.mx (C.R.G.-B.)
                [10 ]Instituto de Salud para el Bienestar, 01020 Ciudad de México, Mexico
                Author notes
                [* ]Correspondence: victor.borja@ 123456salud.gob.mx ; Tel.: +01-55-5062-1600 (ext. 57510)
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-1289-4457
                https://orcid.org/0000-0001-7599-1046
                https://orcid.org/0000-0001-8737-8935
                https://orcid.org/0000-0002-6076-2993
                https://orcid.org/0000-0002-7230-9045
                https://orcid.org/0000-0002-2225-5069
                Article
                microorganisms-09-00850
                10.3390/microorganisms9040850
                8071542
                33921158
                f067cbcb-36d4-4c61-8f92-a5369823500f
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 28 March 2021
                : 09 April 2021
                Categories
                Article

                covid-19,herd immunity,serology,antibody neutralization,clinical laboratory,blood bank,clia,elisa

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