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1.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.11.24.21266812

ABSTRACT

ABSTRACT Previous vaccine efficacy (VE) studies have estimated neutralizing and binding antibody concentrations that correlate with protection from symptomatic infection; how these estimates compare to those generated in response to SARS-CoV-2 infection is unclear. Here, we assessed quantitative neutralizing and binding antibody concentrations using standardized SARS-CoV-2 assays on 3,067 serum specimens collected during July 27, 2020-August 27, 2020 from COVID-19 unvaccinated persons with detectable anti-SARS-CoV-2 antibodies using qualitative antibody assays. Quantitative neutralizing and binding antibody concentrations were strongly positively correlated (r=0.76, p<0.0001) and were noted to be several fold lower in the unvaccinated study population as compared to published data on concentrations noted 28 days post-vaccination. In this convenience sample, ∼88% of neutralizing and ∼63-86% of binding antibody concentrations met or exceeded concentrations associated with 70% COVID-19 VE against symptomatic infection from published VE studies; ∼30% of neutralizing and 1-14% of binding antibody concentrations met or exceeded concentrations associated with 90% COVID-19 VE. These data support observations of infection-induced immunity and current recommendations for vaccination post infection to maximize protection against symptomatic COVID-19.


Subject(s)
COVID-19
2.
Rebecca L. Laws; Prabasaj Paul; Emily Mosites; Heather Scobie; Kristie E. N. Clarke; Rachel B. Slayton; Ignacio Esteban; Mauricio Tomas Caballero; Cristian J Wood; Mabel Berrueta; Anibal Rondan; Gabriela Lescano; Pablo Cruz; Ivonne Ritou; Valeria Fernandez Vina; Damian Alvarez Paggi; Sebastian Esperante; Adrian Ferretti; Gaston Ofman; Alvaro Ciganda; Rocio Rodriguez; Jorge Lantos; Ricardo Valentini; Nicolas Itcovici; Alejandra Hintze; Laura Oyarvide; Candela Etchegaray; Alejandra Neira; Ivonne Name; Julieta Alfonso; Rocio Lopez Castelo; Gisela Caruso; Sofia Rapelius; Fernando Alvez; Federico Cesar Etchenique; Federico Dimase; Dario Raul Alvarez; Sofia Sol Aranda; Clara Sanchez Yanotti; Julian DeLuca; Sofia Jarez Baglivo; Sofia Lujan Laudanno; Florencia Nowogrodzki; Florencia Izetta; Maria Teresa Paniguetti; Paula Fernandez Estrella; Maria Emilia Gutierrez Meyer; Viviana Dominguez; Marcela Balduzzi; Romina Militerno; Jimena Ochoa; Sebastian Perez Marc; Lucila DiNunzio; Mariano Aizpurua; Romina Zadoff; Carla Marchionatti; Natalia Garcia Escude; Romina Romero; Noelia Iraizos; Emmanuel Ezequiel Valls; Patricia Rearte Carvalho; Jimena Franco; Natali Estrada; Juan Rusconi; Guido Ochoa; Maria Veronica Paz; Patricia Lesch; Maria Fernanda Caracciolo; Maria Eugenia Macaneo; Lia Pocket; Silvana Marquez; Gaston Pellegrino; Jorge Geffner; Rocio Zarlenga; Camila Witteveen; Agustina Venditti; Indira Pichetto Olanda; Juan Mauricio Vargas; Micaela Piani; Daniela Carolina Galnarez; Florencia De la Fuente; Andrea Gamarnik; Maria del Carmen Nigro; Susana Villaroel; Cristina Soler Riera; Leonel Langellotti; Clarisa Taffarel; Jose L Scapellato; Mariano Girasolli; Maximiliano de Zan; Juan Sebastian Riera; Enio Garcia; Mario Rovere; Juan Canela; Agostina Pagella; Cecilia Pampuro; Yanina Miragaya; Silvina Kuperman; Alfonso Raggio; Ramiro Manuel Larrea; Maria Dolores Silveyra; Gabriela Leberzstein; Alejandra Debonis; Juan Molinos; Miguel Gonzalez; Eduardo Perez; Nicolas Kreplak; Susana Pastor Arguello; Luz Gibbons; Fernando Althabe; Eduardo Bergel; Fernando P Polack.
biorxiv; 2020.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2020.11.20.391011

ABSTRACT

BackgroundCongregate settings are at risk for coronavirus disease 2019 (COVID-19) outbreaks. Diagnostic testing can be used as a tool in these settings to identify outbreaks and to control transmission. MethodsWe used transmission modeling to estimate the minimum number of persons to test and the optimal frequency to detect small outbreaks of COVID-19 in a congregate facility. We also estimated the frequency of testing needed to interrupt transmission within a facility. ResultsThe number of people to test and frequency of testing needed depended on turnaround time, facility size, and test characteristics. Parameters are calculated for a variety of scenarios. In a facility of 100 people, 26 randomly selected individuals would need to be tested at least every 6 days to identify a true underlying prevalence of at least 5%, with test sensitivity of 85%, and greater than 95% outbreak detection sensitivity. Disease transmission could be interrupted with universal, facility-wide testing with rapid turnaround every three days. ConclusionsTesting a subset of individuals in congregate settings can improve early detection of small outbreaks of COVID-19. Frequent universal diagnostic testing can be used to interrupt transmission within a facility, but its efficacy is reliant on rapid turnaround of results for isolation of infected individuals.


Subject(s)
COVID-19
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