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1.
- IMPACC group; Al Ozonoff; Joanna Schaenman; Naresh Doni Jayavelu; Carly E. Milliren; Carolyn S. Calfee; Charles B. Cairns; Monica Kraft; Lindsey R. Baden; Albert C. Shaw; Florian Krammer; Harm Van Bakel; Denise Esserman; Shanshan Liu; Ana Fernandez Sesma; Viviana Simon; David A. Hafler; Ruth R. Montgomery; Steven H. Kleinstein; Ofer Levy; Christian Bime; Elias K. Haddad; David J. Erle; Bali Pulendran; Kari C. Nadeau; Mark M. Davis; Catherine L. Hough; William B. Messer; Nelson I. Agudelo Higuita; Jordan P. Metcalf; Mark A. Atkinson; Scott C. Brakenridge; David B. Corry; Farrah Kheradmand; Lauren I. R. Ehrlich; Esther Melamed; Grace A. McComsey; Rafick Sekaly; Joann Diray-Arce; Bjoern Peters; Alison D. Augustine; Elaine F. Reed; Kerry McEnaney; Brenda Barton; Claudia Lentucci; Mehmet Saluvan; Ana C. Chang; Annmarie Hoch; Marisa Albert; Tanzia Shaheen; Alvin Kho; Sanya Thomas; Jing Chen; Maimouna D. Murphy; Mitchell Cooney; Scott Presnell; Leying Guan; Jeremy Gygi; Shrikant Pawar; Anderson Brito; Zain Khalil; James A. Overton; Randi Vita; Kerstin Westendorf; Cole Maguire; Slim Fourati; Ramin Salehi-Rad; Aleksandra Leligdowicz; Michael Matthay; Jonathan Singer; Kirsten N. Kangelaris; Carolyn M. Hendrickson; Matthew F. Krummel; Charles R. Langelier; Prescott G. Woodruff; Debra L. Powell; James N. Kim; Brent Simmons; I.Michael Goonewardene; Cecilia M. Smith; Mark Martens; Jarrod Mosier; Hiroki Kimura; Amy Sherman; Stephen Walsh; Nicolas Issa; Charles Dela Cruz; Shelli Farhadian; Akiko Iwasaki; Albert I. Ko; Evan J. Anderson; Aneesh Mehta; Jonathan E. Sevransky; Sharon Chinthrajah; Neera Ahuja; Angela Rogers; Maja Artandi; Sarah A.R. Siegel; Zhengchun Lu; Douglas A. Drevets; Brent R. Brown; Matthew L. Anderson; Faheem W. Guirgis; Rama V. Thyagarajan; Justin Rousseau; Dennis Wylie; Johanna Busch; Saurin Gandhi; Todd A. Triplett; George Yendewa; Olivia Giddings; Tatyana Vaysman; Bernard Khor; Adeeb Rahman; Daniel Stadlbauer; Jayeeta Dutta; Hui Xie; Seunghee Kim-Schulze; Ana Silvia Gonzalez-Reiche; Adriana van de Guchte; Holden T. Maecker; Keith Farrugia; Zenab Khan; Joanna Schaenman; Elaine F. Reed; Ramin Salehi-Rad; David Elashoff; Jenny Brook; Estefania Ramires-Sanchez; Megan Llamas; Adreanne Rivera; Claudia Perdomo; Dawn C. Ward; Clara E. Magyar; Jennifer Fulcher; Yumiko Abe-Jones; Saurabh Asthana; Alexander Beagle; Sharvari Bhide; Sidney A. Carrillo; Suzanna Chak; Rajani Ghale; Ana Gonzales; Alejandra Jauregui; Norman Jones; Tasha Lea; Deanna Lee; Raphael Lota; Jeff Milush; Viet Nguyen; Logan Pierce; Priya Prasad; Arjun Rao; Bushra Samad; Cole Shaw; Austin Sigman; Pratik Sinha; Alyssa Ward; Andrew - Willmore; Jenny Zhan; Sadeed Rashid; Nicklaus Rodriguez; Kevin Tang; Luz Torres Altamirano; Legna Betancourt; Cindy Curiel; Nicole Sutter; Maria Tercero Paz; Gayelan Tietje-Ulrich; Carolyn Leroux; Jennifer Connors; Mariana Bernui; Michele Kutzler; Carolyn Edwards; Edward Lee; Edward Lin; Brett Croen; Nicholas Semenza; Brandon Rogowski; Nataliya Melnyk; Kyra Woloszczuk; Gina Cusimano; Matthew Bell; Sara Furukawa; Renee McLin; Pamela Marrero; Julie Sheidy; George P. Tegos; Crystal Nagle; Nathan Mege; Kristen Ulring; Vicki Seyfert-Margolis; Michelle Conway; Dave Francisco; Allyson Molzahn; Heidi Erickson; Connie Cathleen Wilson; Ron Schunk; Trina Hughes; Bianca Sierra; Kinga K. Smolen; Michael Desjardins; Simon van Haren; Xhoi Mitre; Jessica Cauley; Xiofang Li; Alexandra Tong; Bethany Evans; Christina Montesano; Jose Humberto Licona; Jonathan Krauss; Jun Bai Park Chang; Natalie Izaguirre; Omkar Chaudhary; Andreas Coppi; John Fournier; Subhasis Mohanty; M. Catherine Muenker; Allison Nelson; Khadir Raddassi; Michael Rainone; William Ruff; Syim Salahuddin; Wade L. Schulz; Pavithra Vijayakumar; Haowei Wang; Elsio Wunder Jr.; H. Patrick Young; Yujiao Zhao; Miti Saksena; Deena Altman; Erna Kojic; Komal Srivastava; Lily Q. Eaker; Maria Carolina Bermudez; Katherine F. Beach; Levy A. Sominsky; Arman Azad; Juan Manuel Carreno; Gagandeep Singh; Ariel Raskin; Johnstone Tcheou; Dominika Bielak; Hisaaki Kawabata; Lubbertus CF Mulder; Giulio Kleiner; Laurel Bristow; Laila Hussaini; Kieffer Hellmeister; Hady Samaha; Andrew Cheng; Christine Spainhour; Erin M. Scherer; Brandi Johnson; Amer Bechnak; Caroline R. Ciric; Lauren Hewitt; Bernadine Panganiban; Chistopher Huerta; Jacob Usher; Erin Carter; Nina Mcnair; Susan Pereira Ribeiro; Alexandra S. Lee; Evan Do; Andrea Fernandes; Monali Manohar; Thomas Hagan; Catherine Blish; Hena Naz Din; Jonasel Roque; Samuel S. Yang; Amanda E. Brunton; Peter E. Sullivan; Matthew Strnad; Zoe L. Lyski; Felicity J. Coulter; John L. Booth; Lauren A. Sinko; Lyle Moldawer; Brittany Borrensen; Brittney Roth-Manning; Li-Zhen Song; Ebony Nelson; Megan Lewis-Smith; Jacob Smith; Pablo Guaman Tipan; Nadia Siles; Sam Bazzi; Janelle Geltman; Kerin Hurley; Giovanni Gabriele; Scott Sieg; Matthew C. Altman; Patrice M. Becker; Nadine Rouphael.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22273396

RESUMO

BackgroundBetter understanding of the association between characteristics of patients hospitalized with coronavirus disease 2019 (COVID-19) and outcome is needed to further improve upon patient management. MethodsImmunophenotyping Assessment in a COVID-19 Cohort (IMPACC) is a prospective, observational study of 1,164 patients from 20 hospitals across the United States. Disease severity was assessed using a 7-point ordinal scale based on degree of respiratory illness. Patients were prospectively surveyed for 1 year after discharge for post-acute sequalae of COVID-19 (PASC) through quarterly surveys. Demographics, comorbidities, radiographic findings, clinical laboratory values, SARS-CoV-2 PCR and serology were captured over a 28-day period. Multivariable logistic regression was performed. FindingsThe median age was 59 years (interquartile range [IQR] 20); 711 (61%) were men; overall mortality was 14%, and 228 (20%) required invasive mechanical ventilation. Unsupervised clustering of ordinal score over time revealed distinct disease course trajectories. Risk factors associated with prolonged hospitalization or death by day 28 included age [≥] 65 years (odds ratio [OR], 2.01; 95% CI 1.28-3.17), Hispanic ethnicity (OR, 1.71; 95% CI 1.13-2.57), elevated baseline creatinine (OR 2.80; 95% CI 1.63-4.80) or troponin (OR 1.89; 95% 1.03-3.47), baseline lymphopenia (OR 2.19; 95% CI 1.61-2.97), presence of infiltrate by chest imaging (OR 3.16; 95% CI 1.96-5.10), and high SARS-CoV2 viral load (OR 1.53; 95% CI 1.17-2.00). Fatal cases had the lowest ratio of SARS-CoV-2 antibody to viral load levels compared to other trajectories over time (p=0.001). 589 survivors (51%) completed at least one survey at follow-up with 305 (52%) having at least one symptom consistent with PASC, most commonly dyspnea (56% among symptomatic patients). Female sex was the only associated risk factor for PASC. InterpretationIntegration of PCR cycle threshold, and antibody values with demographics, comorbidities, and laboratory/radiographic findings identified risk factors for 28-day outcome severity, though only female sex was associated with PASC. Longitudinal clinical phenotyping offers important insights, and provides a framework for immunophenotyping for acute and long COVID-19. FundingNIH RESEARCH IN CONTEXTO_ST_ABSEvidence before this studyC_ST_ABSWe did a systematic search of the PubMed database from January 1st, 2020 until April 24th, 2022 using the search terms: "hospitalized" AND "SARS-CoV-2" OR "COVID-19" AND "Pro-spective" AND "Antibody" OR "PCR" OR "long term follow up" and applying the following filters: "Multicenter Study" AND "Observational Study". No language restrictions were applied. While clinical, laboratory, and radiographic features associated with severe COVID-19 in hospitalized adults have been described, description of the kinetics of SARS-CoV-2 specific assays available to clinicians (e.g. PCR and binding antibody) and their integration with other variables is scarce for both short and long term follow up. The current literature is comprised of several studies with small sample size, cross-sectional design with laboratory data typically only recorded at a single point in time (e.g., on admission), limited clinical characteristics, variable duration of follow up, single-center setting, retrospective analyses, kinetics of either PCR or antibody testing but not both, and outcomes such as death or, mechanical ventilation that do not allow delineation of variations in clinical course. Added value of this studyIn our large longitudinal multicenter cohort, the description of outcome severity, was not limited to survival versus death, but encompassed a clinical trajectory approach leveraging longitudinal data based on time in hospital, disease severity by ordinal scale based on degree of respiratory illness, and presence or absence of limitations at discharge. Fatal COVID-19 cases had the lowest ratio of antibody to viral load levels over time as compared to non-fatal cases. Integration of PCR cycle threshold and antibody values with demographics, baseline comorbidities, and laboratory/radiographic findings identified additional risk factors for outcome severity over the first 28 days. However, female sex was the only variable associated with persistence of symptoms over time. Persistence of symptoms was not associated with clinical trajectory over the first 28 days, nor with antibody/viral loads from the acute phase. Implications of all the available evidenceThe described calculated ratio (binding IgG/PCR Ct value) is unique compared to other studies, reflecting host pathogen interactions and representing an accessible approach for patient risk stratification. Integration of SARS-CoV-2 viral load and binding antibody kinetics with other laboratory as well as clinical characteristics in hospitalized COVID-19 patients can identify patients likely to have the most severe short-term outcomes, but is not predictive of symptom persistence at one year post-discharge.

2.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22275691

RESUMO

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants are characterized by differences in transmissibility and response to therapeutics. Therefore, discriminating among them is vital for surveillance, infection prevention, and patient care. While whole viral genome sequencing (WGS) is the "gold standard" for variant identification, molecular variant panels have become increasingly available. Most, however, are based on limited targets and have not undergone comprehensive evaluation. We assessed the diagnostic performance of the highly multiplexed Agena MassARRAY(R) SARS-CoV-2 Variant Panel v3 to identify variants in a diverse set of 391 SARS-CoV-2 clinical RNA specimens collected across our health systems in New York City, USA as well as in Bogota, Colombia (September 2, 2020 - March 2, 2022). We demonstrate almost perfect levels of interrater agreement between this assay and WGS for 9 of 11 variant calls ({kappa} [≥] 0.856) and 25 of 30 targets ({kappa} [≥] 0.820) tested on the panel. The assay had a high diagnostic sensitivity ([≥]93.67%) for contemporary variants (e.g., Iota, Alpha, Delta, Omicron [BA.1 sublineage]) and a high diagnostic specificity for all 11 variants ([≥]96.15%) and all 30 targets ([≥]94.34%) tested. Moreover, we highlight distinct target patterns that can be utilized to identify variants not yet defined on the panel including the Omicron BA.2 and other sublineages. These findings exemplify the power of highly multiplexed diagnostic panels to accurately call variants and the potential for target result signatures to elucidate new ones. ImportanceThe continued circulation of SARS-CoV-2 amidst limited surveillance efforts and inconsistent vaccination of populations has resulted in emergence of variants that uniquely impact public health systems. Thus, in conjunction with functional and clinical studies, continuous detection and identification are quintessential to inform diagnostic and public health measures. Furthermore, until WGS becomes more accessible in the clinical microbiology laboratory, the ideal assay for identifying variants must be robust, provide high resolution, and be adaptable to the evolving nature of viruses like SARS-CoV-2. Here, we highlight the diagnostic capabilities of a highly multiplexed commercial assay to identify diverse SARS-CoV-2 lineages that circulated at over September 2, 2020 - March 2, 2022 among patients seeking care at our health systems. This assay demonstrates variant-specific signatures of nucleotide/amino acid polymorphisms and underscores its utility for detection of contemporary and emerging SARS-CoV-2 variants of concern.

3.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22275533

RESUMO

AO_SCPLOWBSTRACTC_SCPLOWPersistent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have been reported in immune-compromised individuals and people undergoing immune-modulatory treatments. Although intrahost evolution has been documented, to our knowledge, no direct evidence of subsequent transmission and stepwise adaptation is available. Here we describe sequential persistent SARS-CoV-2 infections in three individuals that led to the emergence, forward transmission, and continued evolution of a new Omicron sublineage, BA.1.23, over an eight-month period. The initially transmitted BA.1.23 variant encoded seven additional amino acid substitutions within the spike protein (E96D, R346T, L455W, K458M, A484V, H681R, A688V), and displayed substantial resistance to neutralization by sera from boosted and/or Omicron BA.1-infected study participants. Subsequent continued BA.1.23 replication resulted in additional substitutions in the spike protein (S254F, N448S, F456L, M458K, F981L, S982L) as well as in five other virus proteins. Our findings demonstrate that the Omicron BA.1 lineage can diverge further from its already exceptionally mutated genome during persistent infection in more than one host, and also document ongoing transmission of these novel variants. There is an urgent need to implement strategies to prevent prolonged SARS-CoV-2 replication and to limit the spread of newly emerging, neutralization-resistant variants in vulnerable patients.

4.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21267265

RESUMO

As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to circulate, multiple variants of concern (VOC) have emerged. New variants pose challenges for diagnostic platforms since sequence diversity can alter primer/probe binding sites (PBS), causing false-negative results. The Agena MassARRAY(R) SARS-CoV-2 Panel utilizes reverse-transcription polymerase chain reaction and mass-spectrometry to detect five multiplex targets across N and ORF1ab genes. Herein, we utilize a dataset of 256 SARS-CoV-2-positive specimens collected between April 11, 2021-August 28, 2021 to evaluate target performance with paired sequencing data. During this timeframe, two targets in the N gene (N2, N3) were subject to the greatest sequence diversity. In specimens with N3 dropout, 69% harbored the Alpha-specific A28095U polymorphism that introduces a 3-mismatch to the N3 forward PBS and increases risk of target dropout relative to specimens with 28095A (relative risk (RR): 20.02; p<0.0001; 95% Confidence Interval (CI): 11.36-35.72). Furthermore, among specimens with N2 dropout, 90% harbored the Delta-specific G28916U polymorphism that creates a 3-mismatch to the N2 probe PBS and increases target dropout risk (RR: 11.92; p<0.0001; 95% CI: 8.17-14.06). These findings highlight the robust capability of Agena MassARRAY(R) SARS-CoV-2 Panel target results to reveal circulating virus diversity and underscore the power of multi-target design to capture VOC.

5.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21263348

RESUMO

The COVID-19 pandemic sparked rapid development of SARS-CoV-2 diagnostics. However, emerging variants pose the risk for target dropout and false-negative results secondary to primer/probe binding site (PBS) mismatches. The Agena MassARRAY(R) SARS-CoV-2 Panel combines RT-PCR and MALDI-TOF mass-spectrometry to probe for five targets across N and ORF1ab genes, which provides a robust platform to accommodate PBS mismatches in divergent viruses. Herein, we utilize a deidentified dataset of 1,262 SARS-CoV-2-positive specimens from Mount Sinai Health System (New York City) from December 2020 through April 2021 to evaluate target results and corresponding sequencing data. Overall, the level of PBS mismatches was greater in specimens with target dropout. Of specimens with N3 target dropout, 57% harbored an A28095T substitution that is highly-specific for the alpha (B.1.1.7) variant of concern. These data highlight the benefit of redundancy in target design and the potential for target performance to illuminate the dynamics of circulating SARS-CoV-2 variants.

6.
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-455290

RESUMO

For efficient cell entry and membrane fusion, SARS-CoV-2 spike (S) protein needs to be cleaved at two different sites, S1/S2 and S2 by different cellular proteases such as furin and TMPRSS2. Polymorphisms in the S protein can affect cleavage, viral transmission, and pathogenesis. Here, we investigated the role of arising S polymorphisms in vitro and in vivo to understand the emergence of SARS-CoV-2 variants. First, we showed that the S:655Y is selected after in vivo replication in the mink model. This mutation is present in the Gamma Variant Of Concern (VOC) but it also occurred sporadically in early SARS-CoV-2 human isolates. To better understand the impact of this polymorphism, we analyzed the in vitro properties of a panel of SARS-CoV-2 isolates containing S:655Y in different lineage backgrounds. Results demonstrated that this mutation enhances viral replication and spike protein cleavage. Viral competition experiments using hamsters infected with WA1 and WA1-655Y isolates showed that the variant with 655Y became dominant in both direct infected and direct contact animals. Finally, we investigated the cleavage efficiency and fusogenic properties of the spike protein of selected VOCs containing different mutations in their spike proteins. Results showed that all VOCs have evolved to acquire an increased spike cleavage and fusogenic capacity despite having different sets of mutations in the S protein. Our study demonstrates that the S:655Y is an important adaptative mutation that increases viral cell entry, transmission, and host susceptibility. Moreover, SARS-COV-2 VOCs showed a convergent evolution that promotes the S protein processing.

7.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21260961

RESUMO

Highly efficacious vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been developed.1 However, the emergence of viral variants that are more infectious than the earlier SARS-CoV-2 strains is concerning.2 Several of these viral variants have the potential to partially escape neutralizing antibody responses warranting continued immune-monitoring. Here, we tested a number of currently circulating viral variants of concern/interest, including B.1.526 (Iota), B.1.1.7+E484K (Alpha), B.1.351 (Beta), B.1.617.2 (Delta) and C.37 (Lambda) in neutralization assays using a panel of post-mRNA vaccination sera. The assays were performed with authentic SARS-CoV-2 clinical isolates in an assay that mimics physiological conditions. We found only small decreases in neutralization against B.1.526 and an intermediate phenotype for B.617.2. The reduction was stronger against a sub-variant of C.37, followed by B.1.351 and B.1.1.7+E484K. C.37 is currently circulating in parts of Latin America3 and was detected in Germany, the US and Israel. Of note, reduction in a binding assay that also included P.1, B.1.617.1 (Kappa) and A.23.1 was negligible. Taken together, these findings suggest that mRNA SARS-CoV-2 vaccines may remain effective against these viral variants of concern/interest and that spike binding antibody tests likely retain specificity in the face of evolving SARS-CoV-2 diversity.

8.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21251303

RESUMO

New York City (NYC) emerged as a coronavirus disease 2019 (COVID-19) epicenter in March 2020, but there is limited information regarding potentially unrecognized severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections before the first reported case. We utilized a sample pooling strategy to screen for SARS-CoV-2 RNA in de-identified, respiratory pathogen-negative nasopharyngeal specimens from 3,040 patients across our NYC health system who were evaluated for respiratory symptoms or influenza-like illness during the first 10 weeks of 2020. We obtained complete SARS-CoV-2 genome sequences from samples collected between late February and early March. Additionally, we detected SARS-CoV-2 RNA in pooled specimens collected in the week ending 25 January 2020, indicating that SARS-CoV-2 caused sporadic infections in NYC a full month before the first officially documented case.

9.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20220608

RESUMO

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been detected in domestic and wild cats. However, little is known about natural viral infections of domestic cats, although their importance for modeling disease spread, informing strategies for managing positive human-animal relationships and disease prevention. Here, we describe the SARS-CoV-2 infection in a household of two human adults and sibling cats (one male and two females) using real-time RT-PCR, an ELISA test, viral sequencing, and virus isolation. On May 2020, the cat- owners tested positive for SARS-CoV-2. Two days later, the male cat showed mild respiratory symptoms and tested positive. Four days after the male cat, the two female cats became positive, asymptomatically. Also, one human and one cat showed antibodies against SARS-CoV-2. All cats excreted detectable SARS-CoV-2 RNA for a shorter duration than humans and viral sequences analysis confirmed human-to-cat transmission. We could not determine if cat-to-cat transmission also occurred. Article Summary LineSARS-CoV-2 in naturally infected cats present a shorter shedding pattern compared to their owners.

10.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20183947

RESUMO

Background and aimsImmune dysregulation caused by SARS-CoV-2 infection is thought to play a pathogenic role in COVID-19. SARS-CoV-2 can infect a variety of host cells, including intestinal epithelial cells. We sought to characterize the role of the gastrointestinal immune system in the pathogenesis of the inflammatory response associated with COVID-19. MethodsWe measured cytokines, inflammatory markers, viral RNA, microbiome composition and antibody responses in stool and serum samples from a prospectively enrolled cohort of 44 hospitalized COVID-19 patients. ResultsSARS-CoV-2 RNA was detected in stool of 41% of patients and was found more frequently in patients with diarrhea than those without (16[44%] vs 5[19%], p=0.06). Patients who survived had lower median viral genome copies than those who did not (p=0.021). Compared to uninfected controls, COVID-19 patients had higher median fecal levels of IL-8 (166.5 vs 286.5 pg/mg; p=0.05) and lower levels of fecal IL-10 (678 vs 194 pg/mg; p<0.001) compared to uninfected controls. Stool IL-23 was higher in patients with more severe COVID-19 disease (223.8 vs 86.6 pg/mg; p=0.03) and we find evidence of intestinal virus-specific IgA responses, which was associated with more severe disease. Fecal cytokines and calprotectin levels were not correlated with gastrointestinal symptoms or with the level of virus detected. ConclusionsAlthough SARS-CoV-2 RNA was detectable in the stools of COVID-19 patients and select individuals had evidence for a specific mucosal IgA response, intestinal inflammation was limited, even in patients presenting with gastrointestinal symptoms.

11.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20056929

RESUMO

New York City (NYC) has emerged as one of the epicenters of the current SARS-CoV2 pandemic. To identify the early events underlying the rapid spread of the virus in the NYC metropolitan area, we sequenced the virus causing COVID19 in patients seeking care at the Mount Sinai Health System. Phylogenetic analysis of 84 distinct SARS-CoV2 genomes indicates multiple, independent but isolated introductions mainly from Europe and other parts of the United States. Moreover, we find evidence for community transmission of SARS-CoV2 as suggested by clusters of related viruses found in patients living in different neighborhoods of the city.

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