Detection and Genetic Characterization of Community-Based SARS-CoV-2 Infections — New York City, March 2020
Weekly / July 17, 2020 / 69(28);918–922
Dena Bushman, MSN, MPH1,2; Karen A. Alroy, DVM1,2; Sharon K. Greene, PhD1; Page Keating, MSPH1; Amanda Wahnich, MPH1; Don Weiss, MD1; Preeti Pathela, DrPH1; Christy Harrison, PhD3; Jennifer Rakeman, PhD3; Gayle Langley, MD4; Suxiang Tong, PhD4; Ying Tao, PhD4; Anna Uehara, PhD4; Krista Queen, PhD4; Clinton R. Paden, PhD4; Wendy Szymczak, PhD5; Erika P. Orner, PhD5; Priya Nori, MD5,6; Phi A. Lai, PhD7; Jessica L. Jacobson, MD8; Harjot K. Singh, MD9; David P. Calfee, MD9; Lars F. Westblade, PhD9,10; Ljiljana V. Vasovic, MD10; Jacob H. Rand, MD10; Dakai Liu, PhD11; Vishnu Singh11; Janice Burns, MSN11; Nishant Prasad, MD11; CDC COVID-19 Surge Laboratory Group;; Jessica Sell, MPH1 (View author affiliations)View suggested citation
What is already known about this topic?
To limit SARS-CoV-2 introduction, the United States restricted travel from China on February 2 and from Europe on March 13, 2020. By March 15, community transmission was widespread in New York City (NYC).
What is added by this report?
The NYC Department of Health and Mental Hygiene conducted sentinel surveillance of influenza-like symptoms (ILS) and genetic sequencing to characterize community transmission and determine the geographic origin of SARS-CoV-2 infections. Among 544 specimens tested from persons with ILS and negative influenza test results, 36 (6.6%) were positive. Genetically sequenced positive specimens most closely resembled sequences circulating in Europe.
What are the implications for public health practice?
Partnering with health care facilities and establishing systems for sentinel surveillance with capacity for genetic sequencing before an outbreak can inform timely public health response strategies.
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To limit introduction of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), the United States restricted travel from China on February 2, 2020, and from Europe on March 13. To determine whether local transmission of SARS-CoV-2 could be detected, the New York City (NYC) Department of Health and Mental Hygiene (DOHMH) conducted deidentified sentinel surveillance at six NYC hospital emergency departments (EDs) during March 1–20. On March 8, while testing availability for SARS-CoV-2 was still limited, DOHMH announced sustained community transmission of SARS-CoV-2 (1). At this time, twenty-six NYC residents had confirmed COVID-19, and ED visits for influenza-like illness* increased, despite decreased influenza virus circulation.† The following week, on March 15, when only seven of the 56 (13%) patients with known exposure histories had exposure outside of NYC, the level of community SARS-CoV-2 transmission status was elevated from sustained community transmission to widespread community transmission (2). Through sentinel surveillance during March 1–20, DOHMH collected 544 specimens from patients with influenza-like symptoms (ILS)§ who had negative test results for influenza and, in some instances, other respiratory pathogens.¶ All 544 specimens were tested for SARS-CoV-2 at CDC; 36 (6.6%) tested positive. Using genetic sequencing, CDC determined that the sequences of most SARS-CoV-2–positive specimens resembled those circulating in Europe, suggesting probable introductions of SARS-CoV-2 from Europe, from other U.S. locations, and local introductions from within New York. These findings demonstrate that partnering with health care facilities and developing the systems needed for rapid implementation of sentinel surveillance, coupled with capacity for genetic sequencing before an outbreak, can help inform timely containment and mitigation strategies.
The DOHMH collected deidentified remnant nasopharyngeal swab specimens from patients with ILS and no known virologic diagnosis evaluated at six sentinel EDs during March 1–20, 2020. Because of concern that SARS-CoV-2 could be introduced by travelers returning from China, where the outbreak originated, five EDs were selected because of their high use by patients residing in ZIP codes with ≥20% self-identified Chinese speakers.** Two EDs were in Manhattan, two in Queens, one in Brooklyn, and one in the Bronx. Refrigerated specimens were released to DOHMH 48 hours after collection, and frozen specimens were released 1 week after collection. Specimens collected during March 1–9 were from patients of all ages. Because little was known about pediatric SARS-CoV-2 infection, during March 10–20, DOHMH only collected specimens from patients aged <18 years.
Specimens were sent to CDC on March 23, 2020, for SARS-CoV-2 testing using the 2019-nCoV real-time reverse-transcription–polymerase chain reaction (RT-PCR) assay.††. To conserve resources, pools with up to five specimens were tested together, and individual specimens within positive or inconclusive pools were retested. Nucleic acid from RT-PCR–positive specimens was then extracted and subjected to Oxford Nanopore MinION sequencing, and full genome sequences were generated using methods described previously (3). Phylogenetic relations were inferred using the Nextstrain pipeline (4), including the 36 positive SARS-CoV-2 sentinel specimens and selected full genome sequences available as of April 1, 2020, from the Global Initiative on Sharing All Influenza Data (GISAID) (5). This project was determined by DOHMH and CDC to be nonresearch public health surveillance. Therefore, approval by the agencies’ institutional review boards was not required.
Given limited testing availability, and to better understand prevalence of SARS-CoV-2 infections in the absence of NYC population prevalence data, DOHMH calculated the estimated weekly number of persons with undetected SARS-CoV-2 infection in the target population. DOHMH estimated§§ the weekly target population, defined as those persons evaluated at any NYC ED with ILS who had negative test results for influenza (and, in some instances, for other respiratory pathogens). Numbers of ED visits for ILS were obtained using ED syndromic surveillance data and aggregated weekly citywide and by sentinel ED. Each sentinel ED provided DOHMH their weekly influenza testing volume and results. Estimated SARS-CoV-2 prevalence among the target population was calculated using the estimated true prevalence tool¶¶ assuming 85% test sensitivity (range = 75%–95%) and 99% specificity of the SARS-CoV-2 RT-PCR assay; results were analyzed using R statistical software (version 3.6.3; The R Foundation).
During March 1–20, 544 specimens were collected from the six sentinel EDs (Table). Thirty-six (6.6%) specimens were positive for SARS-CoV-2, including 22 (5.2%) among 425 patients of all ages and 14 (11.8%) among 119 patients aged <18 years. Among the 36 SARS-CoV-2–positive specimens, 32 (89%) were obtained during two 3-day periods: March 8–10 and March 17–19 (Figure).
The estimated SARS-CoV-2 prevalence among patients of all ages in the target population was 0.3% during the week of March 1 and 11.3% during the week of March 8, with an estimated 15 and 1,170 undetected SARS-CoV-2 infections among patients of all ages in the target population during each respective week (Table). The estimated SARS-CoV-2 prevalence among patients aged <18 years in the target population was 2.0% during the week of March 8 and 17.7% during the week of March 15, with an estimated 103 and 227 undetected SARS-CoV-2 infections among patients aged <18 years in the target population during each respective week (Table). During the weeks of March 1 and March 8, there were 26 and 1,917 confirmed cases of COVID-19, respectively, in NYC among persons of all ages. During the weeks of March 8 and March 15, there were 42 and 457 confirmed cases of COVID-19, respectively, in NYC among persons aged <18 years (Table).
Full genome sequences were generated from all 36 positive SARS-CoV-2 specimens. All sequences fell across three arbitrarily defined groups (A, B, and C) (Supplementary Figure, https://stacks.cdc.gov/view/cdc/90347). Two of the NYC sequences clustered in Group A, which contains sequences primarily derived from cases diagnosed in patients in the United States, who were mostly from the state of Washington, and includes other sequences from New York. Seven sequences clustered in Group B, which includes early sequences detected in China and other global sequences, as well as other sequences from New York. The remaining 27 sequences most closely clustered with New York sequences within Group C, which was largely dominated by sequences detected in Europe and North America.
During March 5–14, at approximately the same time as specimens from sentinel surveillance among persons with ILS in NYC were being collected, public health officials in Santa Clara County, California found SARS-CoV-2 prevalence to be 11% in specimens that tested negative for influenza collected from patients of all ages at four sentinel urgent care sites (6); in addition, 5.3% of patients with no known travel exposure or contact with a traveler, who were evaluated for mild influenza-like illness March 12–13 and March 15–16 at one medical center in Los Angeles, had positive test results for SARS-CoV-2 (7). Both Santa Clara County and Los Angeles used an identified surveillance approach that included collecting patient information on age, sex and travel history, whereas New York City used a deidentified approach. Differences in sampling methods and populations therefore limit direct comparisons; however, value can be found in recognizing various approaches to conducting sentinel surveillance.
During the weeks of March 8 and March 15, there was an increase in confirmed cases of COVID-19 among persons aged <18 years in NYC. During this same period, DOHMH estimated an increase in prevalence and undetected cases of COVID-19 among persons aged <18 years with ILS and negative influenza test results. These reported and estimated increases suggest that further investigation is warranted into the role children play in community transmission and the effect school closures might have as a mitigation strategy.
The sequence from March 2, 2020, (the earliest positive sentinel specimen collected) clustered with early sequences from Europe and United States (Group B), which also cluster with sequences from China. No sentinel sequences were directly connected to sequences from Wuhan, China, where the outbreak originated. This was unanticipated, given that most sentinel EDs were used by patients residing in ZIP codes with a high proportion of Chinese speakers. Rather, the sequence analysis suggests probable introductions of SARS-CoV-2 from Europe, from other U.S. locations, and local introductions from within New York. Domestic airport screening and bans on foreign nationals traveling from China were implemented on February 2;*** however, similar travel restrictions from the Schengen Area in Europe were only implemented March 13.††† Although travel restrictions are an important mitigation strategy, by the time the European restrictions were implemented, importation and community transmission of SARS-CoV-2 had already occurred in NYC.
Based on target population calculations, many SARS-CoV-2 infections likely went undetected during the surveillance period in NYC. Expanding the testing criteria at the beginning of the outbreak to include persons with any travel exposure and with ILS without an alternative diagnosis would have increased the number of cases detected through passive surveillance. Limited testing capability and strict testing criteria led to many COVID-19 cases going undetected, slowed DOHMH’s capacity to use surveillance to make timely public health decisions, and ultimately contributed to sustained community transmission (1).
The findings in this report are subject to at least six limitations. First, the deidentified surveillance approach precluded collection of epidemiologic information, including any personal identifiers, demographic information, travel and exposure history, and specific sentinel ED, to support interpretation of the genetic links among specimens or further investigate clusters. Second, the change in age eligibility criteria during the surveillance period limited comparisons across weeks. Third, the pooling approach to laboratory testing has the potential to dilute low viral load samples leading to a false-negative result. Fourth, the small number of patients tested led to large uncertainty in estimated SARS-CoV-2 prevalence and the number of undetected COVID-19 cases in the target population. Fifth, a population survey to estimate the number of infected persons with ILS who did not seek medical attention was not completed until later in the pandemic, so these data could not be used to estimate infection prevalence among the general NYC population. Finally, the potential bias introduced by the sentinel sites selected and populations served affected the generalizability of these findings.
Sentinel surveillance and genetic sequencing, if available early after the emergence or reemergence of a new disease, can guide public health response strategies. DOHMH urges jurisdictions to leverage existing or new infrastructure to establish sentinel surveillance and specimen sequencing in preparation for a subsequent wave in the COVID-19 pandemic and for future outbreaks.
Gillian Stresman, London School of Hygiene & Tropical Medicine; Incident Command System Surveillance and Epidemiology Section, New York City Department of Health and Mental Hygiene; New York City Public Health Laboratory; CDC Epidemiology Task Force; Yan Li, Haibin Wang, Jing Zhang, Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, CDC; Emily Abernathy, Raydel Anderson, Bettina Bankamp, Melissa Bell, Renee Galloway, James Graziano, Gimin Kim, Ashley Kondas, Christopher Lee, Kay Radford, Shannon Rogers, Peyton Smith, Rebekah Tiller, Zachary Weiner, Adam Wharton, Brett Whitaker, CDC COVID-19 Surge Laboratory Group; Daniel Alvarado, Maria Ballon, Johora Choudhury, Bright Varghese, Department of Pathology and Clinical Laboratories, New York-Presbyterian/Lower Manhattan.
Corresponding author: Dena Bushman, email@example.com.
1Incident Command System Surveillance and Epidemiology Section, New York City Department of Health and Mental Hygiene; 2Epidemic Intelligence Service, CDC; 3Public Health Laboratory, New York City Department of Health and Mental Hygiene; 4Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, CDC; 5Department of Pathology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York; 6Division of Infectious Diseases, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York; 7Department of Pathology and Laboratory Medicine, NYU Langone Hospital—Brooklyn, New York; 8New York City Health + Hospitals/Bellevue, New York, New York; 9Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York; 10Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York; 11New York-Presbyterian Queens, Flushing, New York.
All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Wendy Szymczak reports personal fees from Qiagen, outside the submitted work. Lars Westblade reports grants from Accelerate Diagnostics, Inc., Affinity Biosensors, LLC, BioFire Diagnostics, LLC, and Hardy Diagnostics; grants and personal fees from Roche Molecular Systems, Inc.; and personal fees from Shionogi, Inc. No other potential conflicts of interest were disclosed.
* Influenza-like illness is defined as having fever and either cough or sore throat recorded in the ED chief complaint.
† https://www1.nyc.gov/assets/doh/downloads/pdf/hcp/weekly-surveillance03072020.pdfpdf iconexternal icon.
§ Influenza-like symptoms are defined as having at least one of the following signs or symptoms recorded in the ED chief complaint: chills, fever, upper respiratory infection, cough, sore throat, runny nose, congestion, headache, or fatigue.
¶ Specimens from all EDs were negative for influenza by polymerase chain reaction testing, two EDs required a negative respiratory syncytial virus test, and two additional EDs required a negative respiratory viral panel.
** Table S1601 (Language Spoken at Home), per American Community Survey, 2013–2017, available at https://data.census.gov/cedsci/external icon.
†† https://www.fda.gov/media/134922/downloadexternal icon.
§§ Target population size = ED visits for ILS citywide x (ED visits for ILS at sentinel sites with influenza tests performed/ED visits for ILS at sentinel sites) x (ED visits for ILS at sentinel sites with negative influenza test results/ED visits for ILS at sentinel sites with influenza tests performed).
¶¶ https://epitools.ausvet.com.au/trueprevalenceexternal icon.
*** https://www.whitehouse.gov/presidential-actions/proclamation-suspension-entry-immigrants-nonimmigrants-persons-pose-risk-transmitting-2019-novel-coronavirus/external icon.
††† https://www.whitehouse.gov/presidential-actions/proclamation-suspension-entry-immigrants-nonimmigrants-certain-additional-persons-pose-risk-transmitting-2019-novel-coronavirus/external icon.
- Daskalakis D. Health alert #4: COVID-19 updates for New York City. New York, New York: New York City Health; 2020. https://www1.nyc.gov/assets/doh/downloads/pdf/han/alert/2020/covid-19-update-030920.pdfpdf iconexternal icon
- Daskalakis D. Health alerts #6: COVID-19 updates for New York City. New York, New York: New York Health; 2020. https://www1.nyc.gov/assets/doh/downloads/pdf/han/alert/2020/covid-19-03152020.pdfpdf iconexternal icon
- Paden CR, Tao Y, Queen K, et al. Rapid, sensitive, full-genome sequencing of severe acute respiratory syndrome coronavirus 2. Emerg Infect Dis 2020;26. CrossRefexternal icon PubMedexternal icon
- Hadfield J, Megill C, Bell SM, et al. Nextstrain: real-time tracking of pathogen evolution. Bioinformatics 2018;34:4121–3. CrossRefexternal icon PubMedexternal icon
- Elbe S, Buckland-Merrett G. Data, disease and diplomacy: GISAID’s innovative contribution to global health. Glob Chall 2017;1:33–46. CrossRefexternal icon PubMedexternal icon
- Zwald ML, Lin W, Sondermeyer Cooksey GL, et al. Rapid sentinel surveillance for COVID-19—Santa Clara County, California, March 2020. MMWR Morb Mortal Wkly Rep 2020;69:419–21. CrossRefexternal icon PubMedexternal icon
- Spellberg B, Haddix M, Lee R, et al. Community prevalence of SARS-CoV-2 among patients with influenza like illnesses presenting to a Los Angeles Medical Center in March 2020. JAMA 2020;323:1966–7. CrossRefexternal icon PubMedexternal icon
FIGURE. Daily percentage of emergency department (ED) visits for influenza-like illness (ILI), number of confirmed COVID-19 cases, and number and percentage of sentinel specimens positive for SARS-CoV-2* — New York City, March 1–20, 2020
Abbreviations: COVID-19 = coronavirus disease 2019; NYC = New York City.
* ED visits for ILI reported by date of visit, confirmed cases by date of diagnosis, and sentinel specimens by date of collection.
Suggested citation for this article: Bushman D, Alroy KA, Greene SK, et al. Detection and Genetic Characterization of Community-Based SARS-CoV-2 Infections — New York City, March 2020. MMWR Morb Mortal Wkly Rep 2020;69:918–922. DOI: http://dx.doi.org/10.15585/mmwr.mm6928a5external icon.
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