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Observation | Clinical Science and Epidemiology

Handwashing and Detergent Treatment Greatly Reduce SARS-CoV-2 Viral Load on Halloween Candy Handled by COVID-19 Patients

Rodolfo A. Salido, Sydney C. Morgan, Maria I. Rojas, Celestine G. Magallanes, Clarisse Marotz, Peter DeHoff, Pedro Belda-Ferre, Stefan Aigner, Deborah M. Kado, Gene W. Yeo, Jack A. Gilbert, Louise Laurent, Forest Rohwer, Rob Knight
Paola Flórez de Sessions, Editor
Rodolfo A. Salido
aDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA
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  • ORCID record for Rodolfo A. Salido
Sydney C. Morgan
bDepartment of Obstetrics, Gynecology, and Reproductive Science, University of California, San Diego, La Jolla, California, USA
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Maria I. Rojas
cDepartment of Biology, San Diego State University, San Diego, California, USA
mViral Information Institute, San Diego State University, San Diego, California, USA
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Celestine G. Magallanes
bDepartment of Obstetrics, Gynecology, and Reproductive Science, University of California, San Diego, La Jolla, California, USA
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Clarisse Marotz
dDepartment of Pediatrics, University of California, San Diego, La Jolla, California, USA
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Peter DeHoff
bDepartment of Obstetrics, Gynecology, and Reproductive Science, University of California, San Diego, La Jolla, California, USA
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Pedro Belda-Ferre
dDepartment of Pediatrics, University of California, San Diego, La Jolla, California, USA
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Stefan Aigner
eDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California, USA
fStem Cell Program, University of California, San Diego, La Jolla, California, USA
gInstitute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
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Deborah M. Kado
hHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
iDepartment of Medicine, University of California, San Diego, La Jolla, California, USA
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Gene W. Yeo
eDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California, USA
fStem Cell Program, University of California, San Diego, La Jolla, California, USA
gInstitute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
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Jack A. Gilbert
dDepartment of Pediatrics, University of California, San Diego, La Jolla, California, USA
jScripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA
kCenter for Microbiome Innovation, University of California, San Diego, La Jolla, California, USA
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Louise Laurent
bDepartment of Obstetrics, Gynecology, and Reproductive Science, University of California, San Diego, La Jolla, California, USA
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Forest Rohwer
cDepartment of Biology, San Diego State University, San Diego, California, USA
mViral Information Institute, San Diego State University, San Diego, California, USA
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Rob Knight
aDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA
dDepartment of Pediatrics, University of California, San Diego, La Jolla, California, USA
jScripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA
kCenter for Microbiome Innovation, University of California, San Diego, La Jolla, California, USA
lDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, California, USA
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Paola Flórez de Sessions
Oxford Nanopore Technologies
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DOI: 10.1128/mSystems.01074-20
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ABSTRACT

Although SARS-CoV-2 is primarily transmitted by respiratory droplets and aerosols, transmission by fomites remains plausible. During Halloween, a major event for children in numerous countries, SARS-CoV-2 transmission risk via candy fomites worries many parents. To address this concern, we enrolled 10 recently diagnosed asymptomatic or mildly/moderately symptomatic COVID-19 patients to handle typical Halloween candy (pieces individually wrapped) under three conditions: normal handling with unwashed hands, deliberate coughing and extensive touching, and normal handling following handwashing. We then used a factorial design to subject the candies to two posthandling treatments: no washing (untreated) and household dishwashing detergent. We measured SARS-CoV-2 load by reverse transcriptase quantitative PCR (RT-qPCR) and loop-mediated isothermal amplification (LAMP). From the candies not washed posthandling, we detected SARS-CoV-2 on 60% of candies that were deliberately coughed on, 60% of candies normally handled with unwashed hands, but only 10% of candies handled after hand washing. We found that treating candy with dishwashing detergent reduced SARS-CoV-2 load by 62.1% in comparison to untreated candy. Taken together, these results suggest that although the risk of transmission of SARS-CoV-2 by fomites is low even from known COVID-19 patients, viral RNA load can be reduced to near zero by the combination of handwashing by the infected patient and ≥1 min detergent treatment after collection. We also found that the inexpensive and fast LAMP protocol was more than 80% concordant with RT-qPCR.

IMPORTANCE The COVID-19 pandemic is leading to important tradeoffs between risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and mental health due to deprivation from normal activities, with these impacts being especially profound in children. Due to the ongoing pandemic, Halloween activities will be curtailed as a result of the concern that candy from strangers might act as fomites. Here, we demonstrate that these risks can be mitigated by ensuring that, prior to handling candy, the candy giver washes their hands and, after receipt, by washing candy with household dishwashing detergent. Even in the most extreme case, with candy deliberately coughed on by known COVID-19 patients, viral load was reduced dramatically after washing with household detergent. We conclude that with reasonable precautions, even if followed only by either the candy giver or the candy recipient, the risk of viral transmission by this route is very low.

OBSERVATION

The COVID-19 pandemic has caused >8 million cases and >220,000 deaths in the United States alone as of mid-October 2020. Fear of infection has severely curtailed normal activities. In the United States, Halloween is a major children’s holiday, but fear of SARS-CoV-2 transmission by candy is leading many parents to plan on keeping their children from participating. Quantifying the risk of SARS-CoV-2 transmission by candy is therefore of compelling interest.

Accordingly, we enrolled 10 recently diagnosed COVID-19 positive outpatients into an Institutional Review Board (IRB)-approved study, confirming these individuals as positive on the day of testing using an anterior nares clinical reverse transcriptase quantitative PCR (RT-qPCR) assay in the UC San Diego (UCSD) EXCITE (EXpedited COVID-19 IdenTification Environment) laboratory. Patients were recruited to the study via phone call after they tested positive via UCSD Health, were aged 18 to 55 (7 female and 3 male), and were either mildly/moderately symptomatic (9/10) or asymptomatic (1/10). Six of the symptomatic patients reported symptoms of cough. Each individual was provided with four bags containing two Halloween candies (combination of Haribo gummies, Twix, M&Ms, Starburst, and Snickers), allocated as follows: bag 1, candies handled normally with unwashed hands; bag 2, candies coughed on and handled with unwashed hands; bag 3, candies handled after thorough hand washing with soap for 20 s, per CDC guidelines; and bag 4, left as a thank you gift to the subject for their participation. In a factorial design, we then assigned one candy from each bag to either untreated/no washing, or household dishwashing detergent containing sodium lauryl sulfate (SLS) diluted 1:50, for ≥1 min (Fig. S1 in the supplemental material).

RNA was extracted from swabs used to sample the surface of the candy wrappers with the Omega MagBind Viral DNA/RNA kit on the Kingfisher platform, followed by RT-qPCR using the Thermo TaqPath COVID-19 Multiplex assay on the Quantstudio 7 Pro platform. Loop-mediated isothermal amplification (LAMP) was performed in multiplex using NEB WarmStart Colorimetric LAMP Master Mix with UDG (1–3).

Surprisingly, coughing on and extensive handling of candies yielded the same SARS-CoV-2 positivity rate as unwashed handling (5 of 10 untreated candies, 6 of 30 total). Hand washing prior to handling greatly reduced positives (1 of 10 untreated candies, 2 of 30 total) (Fig. 1A). A detergent posthandling treatment reduced the viral load significantly, with average quantification cycle (Cq) of 33.12 ± 1.78 for untreated samples (n = 29), increasing to 35.70 ± 1.50 for detergent-treated candy (n = 9). Mean Cq for untreated candy was significantly different from detergent-treated candy (t = −3.93, P = 0.000372) using a two-tailed independent sample t test (Fig. 2A). Our subjects had mild/moderate cases of COVID-19 with possibly low viral load: subject SB_0154 may have been an outlier with high load, contributing to detection of SARS-CoV-2 on candy from that individual even after handwashing and detergent treatment.

FIG 1
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FIG 1

(A) Heatmap of results from SARS-CoV-2 RT-qPCR detection assay with subjects as rows and treatment groups as nested columns. Positive results were called on samples for which at least two out of three viral genes were detected. Inconclusive results were called when only one viral gene was detected and negative results when no viral genes were detected. Positive results display the average Cq values across detected genes, while inconclusive results report a single Cq value for the detected gene. (B) Heatmap of results from SARS-CoV-2 LAMP detection assay. Positive results were called on colorimetric readouts that matched the positive control, while negative results were called on colorimetric matches to the negative control. Inconclusive results were called on RT-PCRs that were inhibited. (C) Heatmap of comparison of results between RT-qPCR and LAMP. The heatmap shows 83% concordance when excluding the negative to inconclusive mismatches. (D) Classification matrix comparing SARS-CoV-2 detection results between RT-qPCR and LAMP.

FIG 2
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FIG 2

(A) Swarmplot of Cq values for detected viral genes across all candy grouped into posthandling treatments. The distribution of Cq values for the untreated candy was significantly different than that of detergent (**, P < 0.001). (B to D) Swarmplots of Cq values for detected viral genes divided by handling conditions and grouped into posthandling treatments. Both the extensively handled and coughed-on candy (B) and the candy that was normally handled with unwashed hands (C) had detectable viral genes with comparable Cq values ranging from 29.77 to 39.28. Treating with detergent reduced the viral load on candies, measured as an increase in Cq, or resulted in undetectable viral load. Washing hands before handling candy (D) markedly decreased viral gene detection rate and decreased viral load on positive candies.

An important limitation in dealing with environmental samples is the usual unavailability of high-capacity qPCR machines. We found good concordance between the LAMP assay and RT-qPCR, with 44 of 53 samples concordant between the two assays (83% concordance), excluding inconclusive test results. Result outcomes did not differ significantly between RT-qPCR and LAMP (χ2 = 0.399, df = 2, P = 0.818) (Fig. 1D). Therefore, LAMP is an effective screen for environmental samples, although RT-qPCR allows quantitative measurements.

Overall, these results have the following implications. First, even candies handled by a known COVID-19 patient have low or undetectable viral loads if reasonable precautions, such as hand washing before handling candies, or washing candies with detergent after collecting, are employed. Second, even candies that have been deliberately contaminated by coughing can be treated with mild household dishwashing detergent, such that only 20% have any detectable signal by RT-qPCR. A treatment of ≥1 min with SLS from domestic dishwashing detergent can reduce infectious viral particles by 3,000-fold (4–6). An important limitation of this experiment is that we only studied viral RNA, not infectious particles; detection of SARS-CoV-2 viral RNA does not necessarily indicate infectious virus. Previous work reported that only samples with SARS-CoV-2 detected with Cq < 30 were capable of infection (7).

Although transmission of SARS-CoV-2 by fomites is thought to be low (8), reasonable precautions both in handing out candy and receiving it should make fomite transmission risk negligible. Because the primary risk at Halloween is droplet or airborne transmission from other people, the CDC recommends social distancing, hand washing, distanced pickup of candy, and, of course, masks.

TEXT S1

Supplemental Materials and Methods. Download Text S1, DOCX file, 0.02 MB.
Copyright © 2020 Salido et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

FIG S1

Schematic showing experimental design. Each of 10 confirmed COVID-19 patients was given three bags of candies, one to be handled with unwashed hands, one to be extensively handled and coughed on, and one to be handled after the CDC-recommended 20 seconds of hand washing (treatments were performed in this order). A fourth bag of candies was given to the subject as a gift. When the candies were returned to the lab, half were left untreated and the other half were treated with household dishwashing detergent. All samples were processed with RT-qPCR to determine viral load, and with LAMP for qualitative viral detection. Download FIG S1, TIF file, 0.2 MB.
Copyright © 2020 Salido et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

TABLE S1

Individual SARS-CoV-2 target gene positive criteria. Positive results were called on individual SARS-CoV-2 target genes that had a Cq of <40 with a confidence of >0.7. A positive result on the extraction control gene (MS2) was called when it had a Cq of <40 with a confidence of >0.3. Download Table S1, DOCX file, 0.01 MB.
Copyright © 2020 Salido et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

TABLE S2

RT-qPCR test result positive criteria. A positive result was called for samples that had a positive call on the control gene and at least 2 of 3 positive calls on the SARS-CoV-2 target genes. An inconclusive result was called on samples that had a positive call on the control gene, but only 1 of 3 positive calls on the SARS-CoV-2 target genes. A negative result was called on samples that had a positive call on the control gene and no positive calls on the SARS-CoV-2 target genes. An invalid result was called when the control gene for the sample returned a negative. Download Table S2, DOCX file, 0.01 MB.
Copyright © 2020 Salido et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

TABLE S3

Table outlining all positive SARS-CoV-2 calls by individual genes with Cq and estimated viral load. Estimated viral load was calculated through a linear regression model that relates expected genome equivalent (GE) copy numbers per μl of extracted nucleic acid (GE/μl) against the measured Cq in RT-qPCR quantification. Download Table S3, DOCX file, 0.01 MB.
Copyright © 2020 Salido et al.

This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

FOOTNOTES

    • Received October 16, 2020.
    • Accepted October 29, 2020.
  • The review history of this article can be read here.

  • Copyright © 2020 Salido et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

REFERENCES

  1. 1.↵
    1. Butler DJ,
    2. Mozsary C,
    3. Meydan C,
    4. Danko D,
    5. Foox J,
    6. Rosiene J,
    7. Shaiber A,
    8. Afshinnekoo E,
    9. MacKay M,
    10. Sedlazeck FJ,
    11. Ivanov NA,
    12. Sierra M,
    13. Pohle D,
    14. Zietz M,
    15. Gisladottir U,
    16. Ramlall V,
    17. Westover CD,
    18. Ryon K,
    19. Young B,
    20. Bhattacharya C,
    21. Ruggiero P,
    22. Langhorst BW,
    23. Tanner N,
    24. Gawrys J,
    25. Meleshko D,
    26. Xu D,
    27. Steel PAD,
    28. Shemesh AJ,
    29. Xiang J,
    30. Thierry-Mieg J,
    31. Thierry-Mieg D,
    32. Schwartz RE,
    33. Iftner A,
    34. Bezdan D,
    35. Sipley J,
    36. Cong L,
    37. Craney A,
    38. Velu P,
    39. Melnick AM,
    40. Hajirasouliha I,
    41. Horner SM,
    42. Iftner T,
    43. Salvatore M,
    44. Loda M,
    45. Westblade LF,
    46. Cushing M,
    47. Levy S,
    48. Wu S,
    49. Tatonetti N,
    50. Imielinski M, et al
    . 2020. Shotgun transcriptome and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions. BioRxiv doi:10.1101/2020.04.20.048066.
    OpenUrlAbstract/FREE Full Text
  2. 2.↵
    1. Zhang Y,
    2. Odiwuor N,
    3. Xiong J,
    4. Sun L,
    5. Nyaruaba RO,
    6. Wei H,
    7. Tanner NA
    . 2020. Rapid molecular detection of SARS-CoV-2 (COVID-19) virus RNA using colorimetric LAMP. MedRxiv doi:10.1101/2020.02.26.20028373.
    OpenUrlCrossRef
  3. 3.↵
    1. Zhang Y,
    2. Ren G,
    3. Buss J,
    4. Barry AJ,
    5. Patton GC,
    6. Tanner NA
    . 2020. Enhancing colorimetric loop-mediated isothermal amplification speed and sensitivity with guanidine chloride. Biotechniques 69:178–185. doi:10.2144/btn-2020-0078.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Sattar SA,
    2. Springthorpe VS,
    3. Karim Y,
    4. Loro P
    . 1989. Chemical disinfection of non-porous inanimate surfaces experimentally contaminated with four human pathogenic viruses. Epidemiol Infect 102:493–505. doi:10.1017/s0950268800030211.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Kampf G,
    2. Todt D,
    3. Pfaender S,
    4. Steinmann E
    . 2020. Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents. J Hosp Infect 104:246–251. doi:10.1016/j.jhin.2020.01.022.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Chan K-H,
    2. Sridhar S,
    3. Zhang RR,
    4. Chu H,
    5. Fung AY-F,
    6. Chan G,
    7. Chan JF-W,
    8. To KK-W,
    9. Hung IF-N,
    10. Cheng VC-C,
    11. Yuen K-Y
    . 2020. Factors affecting stability and infectivity of SARS-CoV-2. J Hosp Infect 106:226–231. doi:10.1016/j.jhin.2020.07.009.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Zhou J,
    2. Otter JA,
    3. Price JR,
    4. Cimpeanu C,
    5. Garcia DM,
    6. Kinross J,
    7. Boshier P,
    8. Mason S,
    9. Bolt F,
    10. Holmes AH,
    11. Barclay WS
    . 2020. Investigating SARS-CoV-2 surface and air contamination in an acute healthcare setting during the peak of the COVID-19 pandemic in London. Clin Infect Dis doi:10.1093/cid/ciaa905.
    OpenUrlCrossRefPubMed
  8. 8.↵
    1. Binder RA,
    2. Alarja NA,
    3. Robie ER,
    4. Kochek KE,
    5. Xiu L,
    6. Rocha-Melogno L,
    7. Abdelgadir A,
    8. Goli SV,
    9. Farrell AS,
    10. Coleman KK,
    11. Turner AL,
    12. Lautredou CC,
    13. Lednicky JA,
    14. Lee MJ,
    15. Polage CR,
    16. Simmons RA,
    17. Deshusses MA,
    18. Anderson BD,
    19. Gray GC
    . 2020. Environmental and aerosolized SARS-CoV-2 among hospitalized COVID-19 patients. J Infect Dis doi:10.1093/infdis/jiaa575.
    OpenUrlCrossRefPubMed
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Handwashing and Detergent Treatment Greatly Reduce SARS-CoV-2 Viral Load on Halloween Candy Handled by COVID-19 Patients
Rodolfo A. Salido, Sydney C. Morgan, Maria I. Rojas, Celestine G. Magallanes, Clarisse Marotz, Peter DeHoff, Pedro Belda-Ferre, Stefan Aigner, Deborah M. Kado, Gene W. Yeo, Jack A. Gilbert, Louise Laurent, Forest Rohwer, Rob Knight
mSystems Nov 2020, 5 (6) e01074-20; DOI: 10.1128/mSystems.01074-20

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Handwashing and Detergent Treatment Greatly Reduce SARS-CoV-2 Viral Load on Halloween Candy Handled by COVID-19 Patients
Rodolfo A. Salido, Sydney C. Morgan, Maria I. Rojas, Celestine G. Magallanes, Clarisse Marotz, Peter DeHoff, Pedro Belda-Ferre, Stefan Aigner, Deborah M. Kado, Gene W. Yeo, Jack A. Gilbert, Louise Laurent, Forest Rohwer, Rob Knight
mSystems Nov 2020, 5 (6) e01074-20; DOI: 10.1128/mSystems.01074-20
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KEYWORDS

COVID-19
Halloween
LAMP
RT-qPCR
SARS-CoV-2
candy
fomite
qPCR
surface swab

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