Skip to main content
Top
Published in: BMC Infectious Diseases 1/2022

Open Access 01-12-2022 | Vaccination | Research

COVID’s collateral damage: likelihood of measles resurgence in the United States

Authors: Mugdha Thakur, Richard Zhou, Mukundan Mohan, Achla Marathe, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan Lewis, Anil Vullikanti

Published in: BMC Infectious Diseases | Issue 1/2022

Login to get access

Abstract

Background

Lockdowns imposed throughout the US to control the COVID-19 pandemic led to a decline in all routine immunizations rates, including the MMR (measles, mumps, rubella) vaccine. It is feared that post-lockdown, these reduced MMR rates will lead to a resurgence of measles.

Methods

To measure the potential impact of reduced MMR vaccination rates on measles outbreak, this research examines several counterfactual scenarios in pre-COVID-19 and post-COVID-19 era. An agent-based modeling framework is used to simulate the spread of measles on a synthetic yet realistic social network of Virginia. The change in vulnerability of various communities to measles due to reduced MMR rate is analyzed.

Results

Results show that a decrease in vaccination rate \((\mathrm{\alpha })\) has a highly non-linear effect on the number of measles cases and this effect grows exponentially beyond a threshold \((\mathrm{\alpha })\). At low vaccination rates, faster isolation of cases and higher compliance to home-isolation are not enough to control the outbreak. The overall impact on urban and rural counties is proportional to their population size but the younger children, African Americans and American Indians are disproportionately infected and hence are more vulnerable to the reduction in the vaccination rate.

Conclusions

At low vaccination rates, broader interventions are needed to control the outbreak. Identifying the cause of the decline in vaccination rates (e.g., low income) can help design targeted interventions which can dampen the disproportional impact on more vulnerable populations and reduce disparities in health. Per capita burden of the potential measles resurgence is equivalent in the rural and the urban communities and hence proportionally equitable public health resources should be allocated to rural regions.
Appendix
Available only for authorised users
Literature
1.
go back to reference Phadke VK, Bednarczyk RA, Salmon DA, Omer SB. Association between vaccine refusal and vaccine-preventable diseases in the United States: a review of measles and pertussis. JAMA. 2016;315(11):1149–58.PubMedPubMedCentralCrossRef Phadke VK, Bednarczyk RA, Salmon DA, Omer SB. Association between vaccine refusal and vaccine-preventable diseases in the United States: a review of measles and pertussis. JAMA. 2016;315(11):1149–58.PubMedPubMedCentralCrossRef
2.
go back to reference Patel M, et al. National update on measles cases and outbreaks—United States, January 1–October 1, 2019. Morb Mortal Wkly Rep. 2019;68(40):893.CrossRef Patel M, et al. National update on measles cases and outbreaks—United States, January 1–October 1, 2019. Morb Mortal Wkly Rep. 2019;68(40):893.CrossRef
3.
go back to reference Bramer CA, et al. Decline in child vaccination coverage during the COVID-19 pandemic—Michigan Care Improvement Registry, May 2016-May 2020. Am J Transplant. 2020;20(7):1930.PubMedPubMedCentralCrossRef Bramer CA, et al. Decline in child vaccination coverage during the COVID-19 pandemic—Michigan Care Improvement Registry, May 2016-May 2020. Am J Transplant. 2020;20(7):1930.PubMedPubMedCentralCrossRef
4.
go back to reference Santoli JM. Effects of the COVID-19 pandemic on routine pediatric vaccine ordering and administration—United States, 2020. MMWR. Morbidity and mortality weekly report. 2020;69. Santoli JM. Effects of the COVID-19 pandemic on routine pediatric vaccine ordering and administration—United States, 2020. MMWR. Morbidity and mortality weekly report. 2020;69.
5.
go back to reference Lassi ZS, Naseem R, Salam RA, Siddiqui F, Das JK. The impact of the COVID-19 pandemic on immunization campaigns and programs: a systematic review. Int J Environ Res Public Health. 2021;18(3):988.PubMedPubMedCentralCrossRef Lassi ZS, Naseem R, Salam RA, Siddiqui F, Das JK. The impact of the COVID-19 pandemic on immunization campaigns and programs: a systematic review. Int J Environ Res Public Health. 2021;18(3):988.PubMedPubMedCentralCrossRef
8.
go back to reference Bode SM, Gowda C, Mangini M, Kemper AR. COVID-19 and primary measles vaccination rates in a large primary care network. Pediatrics. 2021;147(1). Bode SM, Gowda C, Mangini M, Kemper AR. COVID-19 and primary measles vaccination rates in a large primary care network. Pediatrics. 2021;147(1).
12.
go back to reference Chen J et al. Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness. MedRxiv. 2021. Chen J et al. Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness. MedRxiv. 2021.
13.
go back to reference Eubank S, et al. Modelling disease outbreaks in realistic urban social networks. Nature. 2004;429(6988):180–4.PubMedCrossRef Eubank S, et al. Modelling disease outbreaks in realistic urban social networks. Nature. 2004;429(6988):180–4.PubMedCrossRef
14.
go back to reference Chen J, Marathe A, Marathe M. Feedback between behavioral adaptations and disease dynamics. Sci Rep. 2018;8(1):1–15. Chen J, Marathe A, Marathe M. Feedback between behavioral adaptations and disease dynamics. Sci Rep. 2018;8(1):1–15.
15.
go back to reference Barrett CL et al. Generation and analysis of large synthetic social contact networks. In Proceedings of the 2009 Winter Simulation Conference (WSC), 2009, pp. 1003–1014. Barrett CL et al. Generation and analysis of large synthetic social contact networks. In Proceedings of the 2009 Winter Simulation Conference (WSC), 2009, pp. 1003–1014.
16.
go back to reference Machi D, Bhattacharya P, Hoops S, Chen J, Mortveit H, Venkatramanan S, Lewis B, Wilson M, Fadikar A, Maiden T, Barrett CL. Scalable epidemiological workflows to support covid-19 planning and response. In2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2021 (pp. 639-650). IEEE. Machi D, Bhattacharya P, Hoops S, Chen J, Mortveit H, Venkatramanan S, Lewis B, Wilson M, Fadikar A, Maiden T, Barrett CL. Scalable epidemiological workflows to support covid-19 planning and response. In2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2021 (pp. 639-650). IEEE.
17.
go back to reference Beckman RJ, Baggerly KA, McKay MD. Creating synthetic baseline populations. Transport Res Part A Policy Pract. 1996;30(6):415–29.CrossRef Beckman RJ, Baggerly KA, McKay MD. Creating synthetic baseline populations. Transport Res Part A Policy Pract. 1996;30(6):415–29.CrossRef
18.
go back to reference Barrett C, Bisset K, Leidig J, Marathe A, Marathe MV. An integrated modeling environment to study the co-evolution of networks, individual behavior and epidemics. AI Mag. 2010;31(1):75–87. Barrett C, Bisset K, Leidig J, Marathe A, Marathe MV. An integrated modeling environment to study the co-evolution of networks, individual behavior and epidemics. AI Mag. 2010;31(1):75–87.
19.
go back to reference U. S. C. Bureau. 2010 Census urban and rural classification and urban area criteria. 2012. U. S. C. Bureau. 2010 Census urban and rural classification and urban area criteria. 2012.
20.
go back to reference B. of L. S. United States Department of Labor. The American Time Use Survey (ATUS). Accessed Feb 2020. B. of L. S. United States Department of Labor. The American Time Use Survey (ATUS). Accessed Feb 2020.
21.
go back to reference F. H. A. U.S. Department of Transportation. The National Household Travel Survey (NHTS). Accessed Feb 2020. F. H. A. U.S. Department of Transportation. The National Household Travel Survey (NHTS). Accessed Feb 2020.
22.
go back to reference The University of Oxford. The Multinational Time Use Study (MTUS). Accessed Feb 2020. The University of Oxford. The Multinational Time Use Study (MTUS). Accessed Feb 2020.
23.
go back to reference Barrett C, Eubank S, Marathe M. Modeling and simulation of large biological, information and socio-technical systems: an interaction based approach. In Interactive computation, Springer, 2006, pp. 353–392. Barrett C, Eubank S, Marathe M. Modeling and simulation of large biological, information and socio-technical systems: an interaction based approach. In Interactive computation, Springer, 2006, pp. 353–392.
24.
go back to reference Zmerli O, Chamieh A, Maasri E, Azar E, Afif C. A challenging modified measles outbreak in vaccinated healthcare providers. Infect Prevent Pract. 2021;3(1).CrossRef Zmerli O, Chamieh A, Maasri E, Azar E, Afif C. A challenging modified measles outbreak in vaccinated healthcare providers. Infect Prevent Pract. 2021;3(1).CrossRef
25.
go back to reference Liu F, et al. The role of vaccination coverage, individual behaviors, and the public health response in the control of measles epidemics: an agent-based simulation for California. BMC Public Health. 2015;15(1):1–16.CrossRef Liu F, et al. The role of vaccination coverage, individual behaviors, and the public health response in the control of measles epidemics: an agent-based simulation for California. BMC Public Health. 2015;15(1):1–16.CrossRef
26.
go back to reference V. D. of Health. Annual school self-reports of immunization coverage. Virginia Department of Health. 2017. V. D. of Health. Annual school self-reports of immunization coverage. Virginia Department of Health. 2017.
27.
go back to reference Hill HA, Elam-Evans LD, Yankey D, Singleton JA, Kang Y. Vaccination coverage among children aged 19–35 months—United States, 2017. Morb Mortal Wkly Rep. 2018;67(40):1123.CrossRef Hill HA, Elam-Evans LD, Yankey D, Singleton JA, Kang Y. Vaccination coverage among children aged 19–35 months—United States, 2017. Morb Mortal Wkly Rep. 2018;67(40):1123.CrossRef
29.
go back to reference U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 2001 National Immunization Survey, CD-ROM No. 7. Hyattsville, MD: Centers for Disease Control and Prevention, 2002. U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 2001 National Immunization Survey, CD-ROM No. 7. Hyattsville, MD: Centers for Disease Control and Prevention, 2002.
30.
go back to reference U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 2002 National Immunization Survey, CD-ROM No. 8. Hyattsville, MD: Centers for Disease Control and Prevention, 2003. U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 2002 National Immunization Survey, CD-ROM No. 8. Hyattsville, MD: Centers for Disease Control and Prevention, 2003.
31.
go back to reference U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 1995 National Immunization Survey, CD-ROM No. 5. Hyattsville, MD: Centers for Disease. Control and Prevention, 2002. U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 1995 National Immunization Survey, CD-ROM No. 5. Hyattsville, MD: Centers for Disease. Control and Prevention, 2002.
32.
go back to reference U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 1998 National Immunization Survey, CD-ROM No. 2. Hyattsville, MD: Centers for Disease. Control and Prevention, 2002. U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 1998 National Immunization Survey, CD-ROM No. 2. Hyattsville, MD: Centers for Disease. Control and Prevention, 2002.
33.
go back to reference U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 1997 National Immunization Survey, CD-ROM No. 3. Hyattsville, MD: Centers for Disease. Control and Prevention, 2002. U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 1997 National Immunization Survey, CD-ROM No. 3. Hyattsville, MD: Centers for Disease. Control and Prevention, 2002.
34.
go back to reference U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 2003 National Immunization Survey. Hyattsville, MD: Centers for Disease Control and Prevention, 2004. U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 2003 National Immunization Survey. Hyattsville, MD: Centers for Disease Control and Prevention, 2004.
36.
go back to reference U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 1999 National Immunization Survey, CD-ROM No. 1. Hyattsville, MD: Centers for Disease Control and Prevention, 2001. U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 1999 National Immunization Survey, CD-ROM No. 1. Hyattsville, MD: Centers for Disease Control and Prevention, 2001.
37.
go back to reference U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 2000 National Immunization Survey, CD-ROM No. 6. Hyattsville, MD: Centers for Disease Control and Prevention, 2002. U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 2000 National Immunization Survey, CD-ROM No. 6. Hyattsville, MD: Centers for Disease Control and Prevention, 2002.
38.
go back to reference U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 1996 National Immunization Survey, CD-ROM No. 4. Hyattsville, MD: Centers for Disease. Control and Prevention, 2002. U.S. Department of Health and Human Services (DHHS). National Center for Health Statistics. The 1996 National Immunization Survey, CD-ROM No. 4. Hyattsville, MD: Centers for Disease. Control and Prevention, 2002.
40.
go back to reference Singh M, et al. Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States. BMC Infect Dis. 2019;19(1):1–13.CrossRef Singh M, et al. Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States. BMC Infect Dis. 2019;19(1):1–13.CrossRef
42.
go back to reference Hong K, et al. Decline in receipt of vaccines by medicare beneficiaries during the COVID-19 pandemic—United States, 2020. Morb Mortal Wkly Rep. 2021;70(7):245.CrossRef Hong K, et al. Decline in receipt of vaccines by medicare beneficiaries during the COVID-19 pandemic—United States, 2020. Morb Mortal Wkly Rep. 2021;70(7):245.CrossRef
43.
go back to reference Cohen J. Things I have learned (so far). American Psychological Association; 2016. Cohen J. Things I have learned (so far). American Psychological Association; 2016.
45.
46.
go back to reference Enanoria WTA, et al. The effect of contact investigations and public health interventions in the control and prevention of measles transmission: a simulation study. PLoS ONE. 2016;11(12): e0167160.PubMedPubMedCentralCrossRef Enanoria WTA, et al. The effect of contact investigations and public health interventions in the control and prevention of measles transmission: a simulation study. PLoS ONE. 2016;11(12): e0167160.PubMedPubMedCentralCrossRef
47.
go back to reference Yagci Sokat K, Armbruster B. Modeling and controlling epidemic outbreaks: the role of population size, model heterogeneity and fast response in the case of measles. Mathematics. 2020;8(11):1892.CrossRef Yagci Sokat K, Armbruster B. Modeling and controlling epidemic outbreaks: the role of population size, model heterogeneity and fast response in the case of measles. Mathematics. 2020;8(11):1892.CrossRef
48.
go back to reference Kuehn BM. Routine vaccinations decline during pandemic. JAMA. 2020;324(11):1025.PubMed Kuehn BM. Routine vaccinations decline during pandemic. JAMA. 2020;324(11):1025.PubMed
50.
go back to reference Whitney CG, Zhou F, Singleton J, Schuchat A. Benefits from immunization during the vaccines for children program era—United States, 1994–2013. MMWR Morb Mortal Wkly Rep. 2014;63(16):352.PubMedPubMedCentral Whitney CG, Zhou F, Singleton J, Schuchat A. Benefits from immunization during the vaccines for children program era—United States, 1994–2013. MMWR Morb Mortal Wkly Rep. 2014;63(16):352.PubMedPubMedCentral
51.
go back to reference Daley J. Vaccinations have sharply declined nationwide during the COVID-19 pandemic. Scientific American. 2020;8. Daley J. Vaccinations have sharply declined nationwide during the COVID-19 pandemic. Scientific American. 2020;8.
53.
go back to reference Hahné SJM, et al. Measles outbreak among previously immunized healthcare workers, the Netherlands, 2014. J Infect Dis. 2016;214(12):1980–6.PubMedCrossRef Hahné SJM, et al. Measles outbreak among previously immunized healthcare workers, the Netherlands, 2014. J Infect Dis. 2016;214(12):1980–6.PubMedCrossRef
54.
go back to reference Hubiche T, Brazier C, Vabret A, Reynaud S, Roudiere L, del Giudice P. Measles transmission in a fully vaccinated closed cohort: data from a nosocomial clustered cases in a teenage psychiatric unit. Pediatr Infect Dis J. 2019;38(9):e230–2.PubMedCrossRef Hubiche T, Brazier C, Vabret A, Reynaud S, Roudiere L, del Giudice P. Measles transmission in a fully vaccinated closed cohort: data from a nosocomial clustered cases in a teenage psychiatric unit. Pediatr Infect Dis J. 2019;38(9):e230–2.PubMedCrossRef
55.
go back to reference Rota JS, Hickman CJ, Sowers SB, Rota PA, Mercader S, Bellini WJ. Two case studies of modified measles in vaccinated physicians exposed to primary measles cases: high risk of infection but low risk of transmission. J Infect Dis. 2011;204(suppl-1):S559–63.PubMedCrossRef Rota JS, Hickman CJ, Sowers SB, Rota PA, Mercader S, Bellini WJ. Two case studies of modified measles in vaccinated physicians exposed to primary measles cases: high risk of infection but low risk of transmission. J Infect Dis. 2011;204(suppl-1):S559–63.PubMedCrossRef
56.
go back to reference Thole S, Kalhoefer D, an der Heiden M, Nordmann D, Daniels-Haardt I, Jurke A. Contact tracing following measles exposure on three international flights, Germany, 2017. Eurosurveillance. 2019; 24(19): 1800500. Thole S, Kalhoefer D, an der Heiden M, Nordmann D, Daniels-Haardt I, Jurke A. Contact tracing following measles exposure on three international flights, Germany, 2017.  Eurosurveillance. 2019; 24(19): 1800500.
57.
go back to reference Getz WM, Carlson C, Dougherty E, Porco TC, Salter R. An agent-based model of school closing in under-vaccinated communities during measles outbreaks. Simulation. 2019;95(5):385–93.CrossRef Getz WM, Carlson C, Dougherty E, Porco TC, Salter R. An agent-based model of school closing in under-vaccinated communities during measles outbreaks. Simulation. 2019;95(5):385–93.CrossRef
Metadata
Title
COVID’s collateral damage: likelihood of measles resurgence in the United States
Authors
Mugdha Thakur
Richard Zhou
Mukundan Mohan
Achla Marathe
Jiangzhuo Chen
Stefan Hoops
Dustin Machi
Bryan Lewis
Anil Vullikanti
Publication date
01-12-2022
Publisher
BioMed Central
Keyword
Vaccination
Published in
BMC Infectious Diseases / Issue 1/2022
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-022-07703-w

Other articles of this Issue 1/2022

BMC Infectious Diseases 1/2022 Go to the issue