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Using the MCRISP Network for Surveillance of Pediatric Exanthema in Child Care Centers

Published online by Cambridge University Press:  21 July 2020

Aditi Mahajan*
Affiliation:
Department of Emergency Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
Peter DeJonge
Affiliation:
Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
Sarang Modi
Affiliation:
Department of Emergency Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
Khalil Chedid
Affiliation:
Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
Michael Hayashi
Affiliation:
Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
Emily T. Martin
Affiliation:
Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
Stuart Bradin
Affiliation:
Department of Emergency Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
Andrew N. Hashikawa
Affiliation:
Department of Emergency Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
*
Correspondence and reprint requests to Aditi Mahajan 1500 E Medical Center Dr, Ann Arbor. MI 48109 (e-mail: [email protected])

Abstract

Background:

Systematic monitoring of exanthema is largely absent from public health surveillance despite emerging diseases and threats of bioterrorism. Michigan Child Care Related Infections Surveillance Program (MCRISP) is the first online program in child care centers to report pediatric exanthema.

Methods:

MCRISP aggregated daily counts of children sick, absent, or reported ill by parents. We extracted all MCRISP exanthema cases from October 1, 2014 through June 30, 2019. Cases were assessed with descriptive statistics and counts were used to construct epidemic curves.

Results:

360 exanthema cases were reported from 12,233 illnesses over 4.5 seasons. Children ages 13-35 months had the highest rash occurrence (45%, n = 162), followed by 36-59 months (41.7%, n = 150), 0-12 months (12.5%, n = 45), and kindergarten (0.8%, n = 3). Centers reported rashes of hand-foot-mouth disease (50%, n = 180), nonspecific rash without fever (15.3%, n = 55), hives (8.1%, n = 29), fever with nonspecific rash (6.9%, n = 25), roseola (3.3%, n = 12), scabies (2.5%, n = 9), scarlet fever (2.5%, n = 9), impetigo (2.2%, n = 8), abscess (1.95, n = 7), viral exanthema without fever (1.7%, n = 6), varicella (1.7%, n = 6), pinworms (0.8%, n = 3), molluscum (0.6%, n = 2), cellulitis (0.6%, n = 2), ringworm (0.6%, n = 2), and shingles (0.2%, n = 1).

Conclusion:

Child care surveillance networks have the potential to act as sentinel public health tools for surveillance of pediatric exanthema outbreaks.

Type
Original Research
Copyright
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc.

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References

REFERENCES

Measles Cases and Outbreaks. Centers for Disease Control and Prevention. 2019. https://www.cdc.gov/measles/cases-outbreaks.html. Accessed July 15, 2019.Google Scholar
Committee on Environmental Health, Committee on Infectious Diseases. Chemical-biological terrorism and its impact on children: a subject review. Pediatrics. 2000;105(3):662670.CrossRefGoogle Scholar
Koenig, KL, Boatright, C. Derm and doom: the common rashes of chemical and biological terrorism. Critical Decisions in Emergency Medicince. 2003;17(6). https://em.umaryland.edu/files/uploads/ems/critdecisions_bioterrorismrashmci.pdf Google Scholar
Lozon, MM, Bradin, S. Pediatric disaster preparedness. Pediatr Clin North Am. 2018;65(6):12051220.CrossRefGoogle ScholarPubMed
Rebmann, T. Infectious disease disasters: bioterrorism, emerging infections, and pandemics. APIC Text of Infection Control and Epidemiology Online. 2014. https://apic.org/Resource_/TinyMceFileManager/Topic-specific/47901_CH120_R1.pdf. Accessed June 13, 2019.Google Scholar
Wagner, MM, Moore, AW, Aryel, RM. Handbook of Biosurveillance. Burlington, MA: Academic Press; 2006.Google Scholar
Shope, TR, Hashikawa, AN. Exclusion of mildly ill children from childcare. Pediatr Ann. 2012;41(5):204208.CrossRefGoogle ScholarPubMed
Schellpfeffer, N, Collins, A, Brousseau, DC, Martin, ET, Hashikawa, A. Web-based surveillance of illness in childcare centers. Health Secur. 2017;15(5):463472.CrossRefGoogle ScholarPubMed
DeJonge, P, Martin, ET, Hayashi, M, et al. Communicable disease outbreaks in Michigan child care centers compared with state and regional epidemics, 2014–2017. American J Public Health. 2019;109(12):17071710.CrossRefGoogle Scholar
Hashikawa, AN, Brousseau, DC, Singer, DC, et al. Emergency department and urgent care for children excluded from child care. Pediatrics. 2014;134(1):e120127.CrossRefGoogle ScholarPubMed
Robinson, J. Infectious diseases in schools and child care facilities. Pediatr Rev. 2001;22(2):3946.CrossRefGoogle ScholarPubMed
Cordell, RL, Waterman, SH, Chang, A, et al. Provider-reported illness and absence due to illness among children attending child-care homes and centers in San Diego, Calif. Arch Pediatr Adolesc Med. 1999;153(3):275280.CrossRefGoogle Scholar
Cordell, RL, MacDonald, JK, Solomon, SL, Jackson, LA, Boase, J. Illnesses and absence due to illness among children attending child care facilities in Seattle-King County, Washington. Pediatrics. 1997;100(5):850855.CrossRefGoogle ScholarPubMed
Managing Communicable Diseases. 2019. https://www.michigan.gov/documents/lara/lara_BCAL-PUB-0111_0715_494233_7.pdf. Accessed August 12, 2019.Google Scholar
Great Start to Quality. 2019. https://www.greatstarttoquality.org/families. Accessed November 15, 2019.Google Scholar
Mack, J. Look up vaccination rates at any Michigan school or day care. February 8, 2019. https://www.mlive.com/news/2019/02/look-up-vaccination-rates-at-any-michigan-school-or-day-care.html Google Scholar
Hashikawa, AN, Juhn, YJ, Nimmer, M, et al. Unnecessary child care exclusions in a state that endorses national exclusion guidelines. Pediatrics. 2010;125(5):10031009.CrossRefGoogle Scholar
Hashikawa, AN, Stevens, MW, Juhn, YJ, et al. Self-report of child care directors regarding return-to-care. Pediatrics. 2012;130(6):10461052.CrossRefGoogle ScholarPubMed
Enserink, R, Noel, H, Friesema, IH, et al. The KIzSS network, a sentinel surveillance system for infectious diseases in day care centers: study protocol. BMC Infect Dis. 2012;12:259.CrossRefGoogle ScholarPubMed
DeJonge, P, Martin, ET, Hayashi, M, et al. Variation in surface decontamination practices among Michigan child care centers compared to state and national guidelines. Am J Infect Control. 2019;47(10):11761180.CrossRefGoogle ScholarPubMed
Pijnacker, R, Mughini-Gras, L, Vennema, H, et al. Characteristics of child daycare centres associated with clustering of major enteropathogens. Epidemiol Infect. 2016;144(12):25272539.CrossRefGoogle ScholarPubMed
Mughini-Gras, L, Pijnacker, R, Enserink, R, et al. Influenza-like Illness in households with children of preschool age. Pediatr Infect Dis J. 2016;35(3):242248.CrossRefGoogle ScholarPubMed
Nuzzo, JB. Improving biosurveillance systems to enable situational awareness during public health emergencies. Health Secur. 2017;15(1):1719 CrossRefGoogle ScholarPubMed
Olson, DR, Heffernan, RT, Paladini, M, et al. Monitoring the impact of influenza by age: emergency department fever and respiratory complaint surveillance in New York City. PLoS Med. 2007;4(8):e247.CrossRefGoogle ScholarPubMed
Mann, P, O’Connell, E, Zhang, G, et al. Alert system to detect possible school-based outbreaks of influenza-like illness. Emerg Infect Dis. 2011;17(2):262264.CrossRefGoogle ScholarPubMed
Paterson, B, Caddis, R, Durrheim, D. Use of workplace absenteeism surveillance data for outbreak detection. Emerg Infect Dis. 2011;17(10):19631964.CrossRefGoogle ScholarPubMed
Short, VL, Marriott, CK, Ostroff, S, et al. Description and evaluation of the 2009-2010 Pennsylvania Influenza Sentinel School Monitoring System. Am J Public Health. 2011;101(11):21782183.CrossRefGoogle ScholarPubMed
Lenaway, DD, Ambler, A. Evaluation of a school-based influenza surveillance system. Public Health Rep. 1995;110(3):333337.Google ScholarPubMed
Stockwell, MS, Reed, C, Vargas, CY, et al. MoSAIC: Mobile Surveillance for Acute Respiratory Infections and Influenza-Like Illness in the Community. Am J Epidemiol. 2014;180(12):11961201.CrossRefGoogle Scholar
CDC Public Health Surveillance Strategy Report: 2014-2018. Improving Public Health Surveillance. https://www.cdc.gov/surveillance/improving-surveillance/index.html. Accessed July 22, 2019.Google Scholar
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