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1.
J Clin Transl Res ; 7(1): 66-71, 2021 Feb 25.
Article in English | MEDLINE | ID: covidwho-1451344

ABSTRACT

BACKGROUND: During social distancing, resident mentorship may be an unmet need. Telementorship, mentorship through video conferencing software, presents a unique approach to overcome these challenges. AIMS: This study evaluated whether telementorship through video conference increased access to mentorship encounters and decreased perceived barriers to access, factors that determine likelihood to maintain mentor relationships, and quality of mentorship. METHODS: A year-long randomized, prospective cohort study was conducted in 2016-2017 with pairs of resident mentors from seven different training programs and medical student mentees, randomized to telementorship or in-person mentorship. The number of quarterly encounters was monitored and demographic predictors of meeting were determined. Likert scale survey responses were analyzed with linear regression. RESULTS: Forty-three of 46 (93.5%) volunteer mentor-mentee pairs participated. Telementorship did not alter likelihood of meeting or attitudes toward mentorship barriers (time and distance). Mentee satisfaction increased from 42.5% to 65.4% (P<0.05) throughout the year. Operating room-based practice (P<0.05) and higher postgraduate level (P=0.02) decreased the likelihood of meeting. CONCLUSION: Telementorship provided an equal number of encounters compared to the pairs who were asked to meet in-person. Telementorship may serve as an adjunct modality for flexible communication. RELEVANCE FOR PATIENTS: Medical mentorship is a key component to medical education. Effective mentorship increases academic research productivity, job satisfaction, and advancement of clinical skills, which translate to improved patient care.

2.
Swiss Medical Weekly ; 151(33-34), 2021.
Article in English | EMBASE | ID: covidwho-1449060

ABSTRACT

BACKGROUND: The aim of this study was to assess diagnosis severity, perioperative management and outcomes of two common urgent general surgery situations, appendicitis and cholecystitis, during the COVID-19 outbreak in a region with a high incidence of COVID. METHODS: Retrospective analysis of all appendicitis and cholecystitis cases in a region of western Switzerland (population 850,000) during the first pandemic peak. Primary endpoints were delay after first symptoms to consultation and delay to surgery. Secondary endpoints were disease severity and postoperative outcome compared with the same period in 2019. RESULTS: 214 patients were included: 99 during the 2020 pandemic and 115 in 2019. Median time to consultation for appendicitis was 48 hours (interquartile range [IQR] 24-96) in 2020 and 24 hours (12-36) in 2019 (p = 0.004);for cholecystitis, it was 48 hours (24-96) in 2020 and 36 hours (24-72) in 2019 (p = 0.28). Median time to surgery after consultation for appendicitis was 6.5 hours (IQR 4-18) in 2020 and 7.3 hours (5-9) in 2019 (p = 0.68), for cholecystitis 20 hours (12-48) in 2020 and 23 hours (14-39) in 2019 (p = 0.91). More antibiotics were prescribed after appendectomy in 2020 (46 vs 31%, p = 0.026). Significantly more perforations/abscesses related to appendicitis and cholecystitis were observed in 2020 during the COVID-19 outbreak (p = 0.007 and p = 0.044, respectively). No differences were found for postoperative complications and length of stay. CONCLUSIONS: A delay in patients' arrival at the emergency room was observed for appendicitis. No delay to surgery during the pandemic was observed. A higher rate of perforations and abscesses associated with appendicitis and cholecystitis was observed during the pandemic period. Morbidity and reoperation rate did not change.

3.
4.
Environ Sci Technol ; 55(15): 10432-10441, 2021 08 03.
Article in English | MEDLINE | ID: covidwho-1310774

ABSTRACT

The shedding of pathogens by infected humans enables the use of sewage monitoring to conduct wastewater-based epidemiology (WBE). Although most WBE studies use data from large sewage treatment plants, timely data from smaller catchments are needed for targeted public health action. Traditional sampling methods, like autosamplers or grab sampling, are not conducive to quick ad hoc deployments and high-resolution monitoring at these smaller scales. This study develops and validates a cheap and easily deployable passive sampler unit, made from readily available consumables, with relevance to the COVID-19 pandemic but with broader use for WBE. We provide the first evidence that passive samplers can be used to detect SARS-CoV-2 in wastewater from populations with low prevalence of active COVID-19 infections (0.034 to 0.34 per 10,000), demonstrating their ability for early detection of infections at three different scales (lot, suburb, and city). A side by side evaluation of passive samplers (n = 245) and traditionally collected wastewater samples (n = 183) verified that the passive samplers were sensitive at detecting SARS-CoV-2 in wastewater. On all 33 days where we directly compared traditional and passive sampling techniques, at least one passive sampler was positive when the average SARS-CoV-2 concentration in the wastewater equaled or exceeded the quantification limit of 1.8 gene copies per mL (n = 7). Moreover, on 13 occasions where wastewater SARS-CoV-2 concentrations were less than 1.8 gene copies per mL, one or more passive samplers were positive. Finally, there was a statistically significant (p < 0.001) positive relationship between the concentrations of SARS-CoV-2 in wastewater and the levels found on the passive samplers, indicating that with further evaluation, these devices could yield semi-quantitative results in the future. Passive samplers have the potential for wide use in WBE with attractive feasibility attributes of cost, ease of deployment at small-scale locations, and continuous sampling of the wastewater. Further research will focus on the optimization of laboratory methods including elution and extraction and continued parallel deployment and evaluations in a variety of settings to inform optimal use in wastewater surveillance.


Subject(s)
COVID-19 , Wastewater , Cities , Humans , Pandemics , SARS-CoV-2
5.
American Journal of Respiratory and Critical Care Medicine ; 203(9), 2021.
Article in English | EMBASE | ID: covidwho-1277505

ABSTRACT

On 11th March 2020, the novel coronavirus Covid-19 was declared a pandemic by the World Health Organization. The 14th of March, the Spanish government declared the State of Emergency. Urgent reorganization was required to give answers to the needs of this new illness. The number of patients admitted grew exponentially and resources were insufficient to care for such a number of people at home. The Hospital at Home (HaH) was called to transform a hotel into a medicalized healthcare space. The Medicalized Hotel wanted to solve three needs: grouping patients, providing more beds and allowing the isolation. Current health policy emphasizes on patient experience as one of the key components of quality of care. Patients must be involved in decision-making about their heath situation and treatment in order to provide an integrated healthcare. Analyzing patients' experience will provide knowledge and will allow finding out if the Medicalized Hotel was a good alternative. Aim: To assess the patient experience during hospital admission in a Medicalized Hotel for COVID-19, from 25th March to 15th May, and variables that may influence these experiences. Methods: Observational and descriptive study with a cross-sectional design. The study population (n=517) consisted of patients admitted in Medicalized Hotel who met inclusion criteria. Patient experience collected by the Picker Patient Experience questionnaire, PPE-15 (translated to Catalan and Spanish) and four open questions analyzed in a qualitative way. Other variables: Socio-demographic and review clinical records. Results: 427 patients (83% of admitted) answered the questionnaire (52% male, 55 yrs (63%)). Main results: being treated with respect and dignity (95%), receiving similar information from different professionals (84%) and getting understanding answers by doctors and nurses (79%, 86%). 52% of participants identified no areas for improvement and <25% of improvement areas were related to food quality and communication difficulties, due to pandemic isolation measures. These contributions enhanced in: creating a clean and dirty area;improve the welcome material reception and documented information on discharge;activities for patients, such as a library, app and mobiles. Conclusions: The Medicalized Hotel, led by the HaH team, was a safe and effective alternative to acute hospital care. Grouping patients together increased HaH's effectiveness and prevented the Hospital's collapse during pandemia. Patients' experiences have been highly positive and contributed to form the medicalized hotel. With further validation, this study may be used by health professionals and organizations to improve healthcare and enhance patient experience.

6.
Estee Y Cramer; Evan L Ray; Velma K Lopez; Johannes Bracher; Andrea Brennen; Alvaro J Castro Rivadeneira; Aaron Gerding; Tilmann Gneiting; Katie H House; Yuxin Huang; Dasuni Jayawardena; Abdul H Kanji; Ayush Khandelwal; Khoa Le; Anja Muhlemann; Jarad Niemi; Apurv Shah; Ariane Stark; Yijin Wang; Nutcha Wattanachit; Martha W Zorn; Youyang Gu; Sansiddh Jain; Nayana Bannur; Ayush Deva; Mihir Kulkarni; Srujana Merugu; Alpan Raval; Siddhant Shingi; Avtansh Tiwari; Jerome White; Spencer Woody; Maytal Dahan; Spencer Fox; Kelly Gaither; Michael Lachmann; Lauren Ancel Meyers; James G Scott; Mauricio Tec; Ajitesh Srivastava; Glover E George; Jeffrey C Cegan; Ian D Dettwiller; William P England; Matthew W Farthing; Robert H Hunter; Brandon Lafferty; Igor Linkov; Michael L Mayo; Matthew D Parno; Michael A Rowland; Benjamin D Trump; Sabrina M Corsetti; Thomas M Baer; Marisa C Eisenberg; Karl Falb; Yitao Huang; Emily T Martin; Ella McCauley; Robert L Myers; Tom Schwarz; Daniel Sheldon; Graham Casey Gibson; Rose Yu; Liyao Gao; Yian Ma; Dongxia Wu; Xifeng Yan; Xiaoyong Jin; Yu-Xiang Wang; YangQuan Chen; Lihong Guo; Yanting Zhao; Quanquan Gu; Jinghui Chen; Lingxiao Wang; Pan Xu; Weitong Zhang; Difan Zou; Hannah Biegel; Joceline Lega; Timothy L Snyder; Davison D Wilson; Steve McConnell; Yunfeng Shi; Xuegang Ban; Robert Walraven; Qi-Jun Hong; Stanley Kong; James A Turtle; Michal Ben-Nun; Pete Riley; Steven Riley; Ugur Koyluoglu; David DesRoches; Bruce Hamory; Christina Kyriakides; Helen Leis; John Milliken; Michael Moloney; James Morgan; Gokce Ozcan; Chris Schrader; Elizabeth Shakhnovich; Daniel Siegel; Ryan Spatz; Chris Stiefeling; Barrie Wilkinson; Alexander Wong; Sean Cavany; Guido Espana; Sean Moore; Rachel Oidtman; Alex Perkins; Zhifeng Gao; Jiang Bian; Wei Cao; Juan Lavista Ferres; Chaozhuo Li; Tie-Yan Liu; Xing Xie; Shun Zhang; Shun Zheng; Alessandro Vespignani; Matteo Chinazzi; Jessica T Davis; Kunpeng Mu; Ana Pastore y Piontti; Xinyue Xiong; Andrew Zheng; Jackie Baek; Vivek Farias; Andreea Georgescu; Retsef Levi; Deeksha Sinha; Joshua Wilde; Nicolas D Penna; Leo A Celi; Saketh Sundar; Dave Osthus; Lauren Castro; Geoffrey Fairchild; Isaac Michaud; Dean Karlen; Elizabeth C Lee; Juan Dent; Kyra H Grantz; Joshua Kaminsky; Kathryn Kaminsky; Lindsay T Keegan; Stephen A Lauer; Joseph C Lemaitre; Justin Lessler; Hannah R Meredith; Javier Perez-Saez; Sam Shah; Claire P Smith; Shaun A Truelove; Josh Wills; Matt Kinsey; RF Obrecht; Katharine Tallaksen; John C. Burant; Lily Wang; Lei Gao; Zhiling Gu; Myungjin Kim; Xinyi Li; Guannan Wang; Yueying Wang; Shan Yu; Robert C Reiner; Ryan Barber; Emmanuela Gaikedu; Simon Hay; Steve Lim; Chris Murray; David Pigott; B. Aditya Prakash; Bijaya Adhikari; Jiaming Cui; Alexander Rodriguez; Anika Tabassum; Jiajia Xie; Pinar Keskinocak; John Asplund; Arden Baxter; Buse Eylul Oruc; Nicoleta Serban; Sercan O Arik; Mike Dusenberry; Arkady Epshteyn; Elli Kanal; Long T Le; Chun-Liang Li; Tomas Pfister; Dario Sava; Rajarishi Sinha; Thomas Tsai; Nate Yoder; Jinsung Yoon; Leyou Zhang; Sam Abbott; Nikos I I Bosse; Sebastian Funk; Joel Hellewell; Sophie R Meakin; James D Munday; Katharine Sherratt; Mingyuan Zhou; Rahi Kalantari; Teresa K Yamana; Sen Pei; Jeffrey Shaman; Turgay Ayer; Madeline Adee; Jagpreet Chhatwal; Ozden O Dalgic; Mary A Ladd; Benjamin P Linas; Peter Mueller; Jade Xiao; Michael L Li; Dimitris Bertsimas; Omar Skali Lami; Saksham Soni; Hamza Tazi Bouardi; Yuanjia Wang; Qinxia Wang; Shanghong Xie; Donglin Zeng; Alden Green; Jacob Bien; Addison J Hu; Maria Jahja; Balasubramanian Narasimhan; Samyak Rajanala; Aaron Rumack; Noah Simon; Ryan Tibshirani; Rob Tibshirani; Valerie Ventura; Larry Wasserman; Eamon B O'Dea; John M Drake; Robert Pagano; Jo W Walker; Rachel B Slayton; Michael Johansson; Matthew Biggerstaff; Nicholas G Reich.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.02.03.21250974

ABSTRACT

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. In 2020, the COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized hundreds of thousands of specific predictions from more than 50 different academic, industry, and independent research groups. This manuscript systematically evaluates 23 models that regularly submitted forecasts of reported weekly incident COVID-19 mortality counts in the US at the state and national level. One of these models was a multi-model ensemble that combined all available forecasts each week. The performance of individual models showed high variability across time, geospatial units, and forecast horizons. Half of the models evaluated showed better accuracy than a naive baseline model. In combining the forecasts from all teams, the ensemble showed the best overall probabilistic accuracy of any model. Forecast accuracy degraded as models made predictions farther into the future, with probabilistic accuracy at a 20-week horizon more than 5 times worse than when predicting at a 1-week horizon. This project underscores the role that collaboration and active coordination between governmental public health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks. f


Subject(s)
COVID-19
7.
Emerg Infect Dis ; 26(12): 2854-2862, 2020 12.
Article in English | MEDLINE | ID: covidwho-940167

ABSTRACT

Coronavirus disease (COVID-19) in Colombia was first diagnosed in a traveler arriving from Italy on February 26, 2020. However, limited data are available on the origins and number of introductions of COVID-19 into the country. We sequenced the causative agent of COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), from 43 clinical samples we collected, along with another 79 genome sequences available from Colombia. We investigated the emergence and importation routes for SARS-CoV-2 into Colombia by using epidemiologic, historical air travel, and phylogenetic observations. Our study provides evidence of multiple introductions, mostly from Europe, and documents >12 lineages. Phylogenetic findings validate the lineage diversity, support multiple importation events, and demonstrate the evolutionary relationship of epidemiologically linked transmission chains. Our results reconstruct the early evolutionary history of SARS-CoV-2 in Colombia and highlight the advantages of genome sequencing to complement COVID-19 outbreak investigations.


Subject(s)
COVID-19/epidemiology , COVID-19/virology , Genome, Viral , Genomics/methods , Phylogeny , SARS-CoV-2/genetics , Colombia/epidemiology , Humans , Reproducibility of Results
8.
Infect Genet Evol ; 85: 104557, 2020 11.
Article in English | MEDLINE | ID: covidwho-779446

ABSTRACT

SARS-CoV-2 is a new member of the genus Betacoronavirus, responsible for the COVID-19 pandemic. The virus crossed the species barrier and established in the human population taking advantage of the spike protein high affinity for the ACE receptor to infect the lower respiratory tract. The Nucleocapsid (N) and Spike (S) are highly immunogenic structural proteins and most commercial COVID-19 diagnostic assays target these proteins. In an unpredictable epidemic, it is essential to know about their genetic variability. The objective of this study was to describe the substitution frequency of the S and N proteins of SARS-CoV-2 in South America. A total of 504 amino acid and nucleotide sequences of the S and N proteins of SARS-CoV-2 from seven South American countries (Argentina, Brazil, Chile, Ecuador, Peru, Uruguay, and Colombia), reported as of June 3, and corresponding to samples collected between March and April 2020, were compared through substitution matrices using the Muscle algorithm. Forty-three sequences from 13 Colombian departments were obtained in this study using the Oxford Nanopore and Illumina MiSeq technologies, following the amplicon-based ARTIC network protocol. The substitutions D614G in S and R203K/G204R in N were the most frequent in South America, observed in 83% and 34% of the sequences respectively. Strikingly, genomes with the conserved position D614 were almost completely replaced by genomes with the G614 substitution between March to April 2020. A similar replacement pattern was observed with R203K/G204R although more marked in Chile, Argentina and Brazil, suggesting similar introduction history and/or control strategies of SARS-CoV-2 in these countries. It is necessary to continue with the genomic surveillance of S and N proteins during the SARS-CoV-2 pandemic as this information can be useful for developing vaccines, therapeutics and diagnostic tests.


Subject(s)
Amino Acid Substitution , COVID-19/diagnosis , SARS-CoV-2/classification , Viral Proteins/genetics , Coronavirus Nucleocapsid Proteins/genetics , High-Throughput Nucleotide Sequencing , Humans , Phylogeny , SARS-CoV-2/genetics , Sequence Analysis, RNA , South America , Spike Glycoprotein, Coronavirus/genetics
9.
Int J Radiat Oncol Biol Phys ; 108(2): 416-420, 2020 Oct 01.
Article in English | MEDLINE | ID: covidwho-739850

ABSTRACT

PURPOSE: Telemedicine was rapidly and ubiquitously adopted during the COVID-19 pandemic. However, there are growing discussions as to its role postpandemic. METHODS AND MATERIALS: We surveyed patients, radiation oncology (RO) attendings, and RO residents to assess their experience with telemedicine. Surveys addressed quality of patient care and utility of telemedicine for teaching and learning core competencies. Satisfaction was rated on a 6-point Likert-type scale. The quality of teaching and learning was graded on a 5-point Likert-type scale, with overall scores calculated by the average rating of each core competency required by the Accreditation Council for Graduate Medical Education (range, 1-5). RESULTS: Responses were collected from 56 patients, 12 RO attendings, and 13 RO residents. Patient feedback was collected at 17 new-patient, 22 on-treatment, and 17 follow-up video visits. Overall, 88% of patients were satisfied with virtual visits. A lower proportion of on-treatment patients rated their virtual visit as "very satisfactory" (68.2% vs 76.5% for new patients and 82.4% for follow-ups). Only 5.9% of the new patients and none of the follow-up patients were dissatisfied, and 27% of on-treatment patients were dissatisfied. The large majority of patients (88%) indicated that they would continue to use virtual visits as long as a physical examination was not needed. Overall scores for medical training were 4.1 out of 5 (range, 2.8-5.0) by RO residents and 3.2 (range, 2.0-4.0) by RO attendings. All residents and 92% of attendings indicated they would use telemedicine again; however, most indicated that telemedicine is best for follow-up visits. CONCLUSIONS: Telemedicine is a convenient means of delivering care to patients, with some limitations demonstrated for on-treatment patients. The majority of both patients and providers are interested in using telemedicine again, and it will likely continue to supplement patient care.


Subject(s)
Education, Medical, Graduate/statistics & numerical data , Internship and Residency/statistics & numerical data , Patient Care/statistics & numerical data , Radiation Oncology , Telemedicine , COVID-19 , Coronavirus Infections/epidemiology , Humans , Pandemics , Pneumonia, Viral/epidemiology
10.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.06.26.20135715

ABSTRACT

Coronavirus disease 2019 (COVID-19) was first diagnosed in Colombia from a traveler arriving from Italy on February 26, 2020. To date, available data on the origins and number or introductions of SARS-CoV-2 into the country are limited. Here, we sequenced SARS-CoV-2 from 43 clinical samples and-together with another 73 genomes sequences available from the country-we investigated the emergence and the routes of importation of COVID-19 into Colombia using epidemiological, historical air travel and phylogenetic observations. Our study provided evidence of multiple introductions, mostly from Europe, with at least 12 lineages being documented. Phylogenetic findings validated the linkage of epidemiologically-linked transmission chains. Our results demonstrate the advantages of genome sequencing to complement COVID-19 outbreak investigation and underscores that human mobility and genetic data are relevant to complete epidemiological investigation and better characterize virus transmission dynamics at local scales.


Subject(s)
COVID-19
11.
Infect Genet Evol ; 84: 104390, 2020 10.
Article in English | MEDLINE | ID: covidwho-526657

ABSTRACT

The COVID-19 pandemic caused by SARS-CoV-2 is a public health problem unprecedented in the recent history of humanity. Different in-house real-time RT-PCR (rRT-PCR) methods for SARS-CoV-2 diagnosis and the appearance of genomes with mutations in primer regions have been reported. Hence, whole-genome data from locally-circulating SARS-CoV-2 strains contribute to the knowledge of its global variability and the development and fine tuning of diagnostic protocols. To describe the genetic variability of Colombian SARS-CoV-2 genomes in hybridization regions of oligonucleotides of the main in-house methods for SARS-CoV-2 detection, RNA samples with confirmed SARS-CoV-2 molecular diagnosis were processed through next-generation sequencing. Primers/probes sequences from 13 target regions for SARS-CoV-2 detection suggested by 7 institutions and consolidated by WHO during the early stage of the pandemic were aligned with Muscle tool to assess the genetic variability potentially affecting their performance. Finally, the corresponding codon positions at the 3' end of each primer, the open reading frame inspection was identified for each gene/protein product. Complete SARS-CoV-2 genomes were obtained from 30 COVID-19 cases, representative of the current epidemiology in the country. Mismatches between at least one Colombian sequence and five oligonucleotides targeting the RdRP and N genes were observed. The 3' end of 4 primers aligned to the third codon position, showed high risk of nucleotide substitution and potential mismatches at this critical position. Genetic variability was detected in Colombian SARS-CoV-2 sequences in some of the primer/probe regions for in-house rRT-PCR diagnostic tests available at WHO COVID-19 technical guidelines; its impact on the performance and rates of false-negative results should be experimentally evaluated. The genomic surveillance of SARS-CoV-2 is highly recommended for the early identification of mutations in critical regions and to issue recommendations on specific diagnostic tests to ensure the coverage of locally-circulating genetic variants.


Subject(s)
Betacoronavirus/genetics , Coronavirus Infections/epidemiology , Genome, Viral , Pandemics , Pneumonia, Viral/epidemiology , RNA, Viral/genetics , Viral Proteins/genetics , Base Sequence , Betacoronavirus/pathogenicity , COVID-19 , COVID-19 Testing , COVID-19 Vaccines , Clinical Laboratory Techniques , Colombia/epidemiology , Coronavirus Infections/diagnosis , Coronavirus Infections/pathology , Coronavirus Infections/virology , Genetic Variation , High-Throughput Nucleotide Sequencing , Humans , Molecular Epidemiology , Open Reading Frames , Pneumonia, Viral/diagnosis , Pneumonia, Viral/pathology , Pneumonia, Viral/virology , Real-Time Polymerase Chain Reaction/methods , SARS-CoV-2 , Sequence Alignment
12.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.05.22.20107292

ABSTRACT

The COVID-19 pandemic caused by SARS-CoV-2 is a public health problem unprecedented in the recent history of humanity. Different in-house real-time RT-PCR (rRT-PCR) methods for SARS-CoV-2 diagnosis and the appearance of genomes with mutations in primer regions have been reported. Hence, whole-genome data from locally-circulating SARS-CoV-2 strains contribute to the knowledge of its global variability and the development and fine-tuning of diagnostic protocols. To describe the genetic variability of Colombian SARS-CoV-2 genomes in hybridization regions of oligonucleotides of the main in-house methods for SARS-CoV-2 detection, RNA samples with confirmed SARS-CoV-2 molecular diagnosis were processed through next-generation sequencing. Primers/probes sequences from 13 target regions for SARS-CoV-2 detection suggested by 7 institutions and consolidated by WHO during the early stage of the pandemic were aligned with Muscle tool to assess the genetic variability potentially affecting their performance. Finally, the corresponding codon positions at the 3' end of each primer, the open reading frame inspection was identified for each gene/protein product. Complete SARS-CoV-2 genomes were obtained from 30 COVID-19 cases, representative of the current epidemiology in the country. Mismatches between at least one Colombian sequence and five oligonucleotides targeting the RdRP and N genes were observed. The 3' end of 4 primers aligned to the third codon position, showed high risk of nucleotide substitution and potential mismatches at this critical position. Genetic variability was detected in Colombian SARS-CoV-2 sequences in some of the primer/probe regions for in-house rRT-PCR diagnostic tests available at WHO COVID-19 technical guidelines; its impact on the performance and rates of false-negative results should be experimentally evaluated. The genomic surveillance of SARS-CoV-2 is highly recommended for the early identification of mutations in critical regions and to issue recommendations on specific diagnostic tests to ensure the coverage of locally-circulating genetic variants.


Subject(s)
COVID-19
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