Abstract
Over the past 50 years, the use of vaccines led to significant decreases in the global burdens of measles and rubella, motivated at least in part by the successive development of global control and elimination targets. The Global Vaccine Action Plan (GVAP) includes specific targets for regional elimination of measles and rubella in five of six regions of the World Health Organization by 2020. Achieving the GVAP measles and rubella goals will require significant immunization efforts and associated financial investments and political commitments. Planning and budgeting for these efforts can benefit from learning some important lessons from the Global Polio Eradication Initiative (GPEI). Following an overview of the global context of measles and rubella risks and discussion of lessons learned from the GPEI, we introduce the contents of the special issue on modeling and managing the risks of measles and rubella. This introduction describes the synthesis of the literature available to support evidence-based model inputs to support the development of an integrated economic and dynamic disease transmission model to support global efforts to optimally manage these diseases globally using vaccines.
Keywords: Infectious disease, measles, modeling, rubella
1. CONTEXT
Following the development of measles vaccine in 1963 and rubella vaccine in 1969, developed countries rapidly adopted their use, and the devastating disease burdens caused by measles and rubella declined. Over time, global agreements established the measles targets summarized in Table I, which led to incremental progress toward increased measles control and elimination. As part of the Global Vaccine Action Plan (GVAP),(1) countries and regions continue to pursue goals to eliminate and control measles and rubella virus transmission within their borders.
Table I.
By 1990 make measles vaccine available to every child in the world as part of the Expanded Programme on Immunization (EPI) |
By 1995, reduce measles cases by 90% and measles deaths by 95% compared to preimmunization levels |
By 2005, reduce measles deaths by 50% compared to 1999 levels |
By 2010, reduce measles deaths by 90% compared to 2000 levels |
By 2015, reduce measles deaths by 95% compared to 2000 levels, eliminate measles in four World Health Organization (WHO) regions |
By 2020, eliminate measles in five WHO regions |
Developed countries finance their measles and rubella control efforts as part of their health system budgets and national immunization programs. In contrast, developing countries use national funds and may also receive support from donors and/or from the Measles and Rubella Initiative.(2) All countries currently include measles vaccine in their national routine immunization (RI) programs, and most countries include rubella vaccine.(3) The adoption of rubella immunization historically lagged measles vaccine adoption because some countries do/did not perceive rubella as a significant concern (i.e., the large burden of measles masks rubella incidence) and early mathematical modeling of rubella vaccine introduction raised concerns about use of the vaccine in a population with low coverage potentially increasing the risks of Congenital Rubella Syndrome (CRS) in infants of unvaccinated pregnant women.(4) In order to achieve high coverage and population immunity, some countries conduct periodic supplemental immunization activities (SIAs) for measles and rubella. The immunization strategies used and current level of control vary considerably by country, with most countries using two-dose routine schedules and combination vaccines that include both measles and rubella antigens, but some using only one dose of measles vaccine.(3)
National variability in measles and rubella immunization strategies and targets also reflects regional differences. For example, the WHO Region of the Americas (i.e., Pan American Health Organization, PAHO) set regional elimination goals for measles and rubella in 1994 and 2003, respectively. The Americas successfully interrupted indigenous transmission of measles in 2002 and rubella in 2009.(2) Countries in the Americas now need to maintain elimination and remain vigilant in their national measles and rubella immunization programs because they remain vulnerable to importations that lead to costly outbreaks. While most of the importations into the Americas have led to limited transmission stopped within six months due to aggressive outbreak response, an importation into Brazil in 2013 led to transmission that continued through January 2015, which has delayed the regional verification of the Americas as measles-free, while regional verification of rubella elimination occurred in April 2015. In the Americas and some other developed countries, the very low incidence of measles during the past several decades led to a shift in perception of the dangers of measles, with some parents and caregivers perceiving no need for measles immunization. In addition, fraudulent claims about measles–mumps–rubella (MMR) vaccine as a cause of autism led to increased, although unfounded, fears about MMR, and this reduced MMR vaccine coverage in some developed countries. In contrast, the African and Southeast Asia Regions include countries that only established measles elimination targets relatively recently, and many countries in these regions do not achieve or sustain sufficiently high RI coverage to disrupt measles transmission. These countries currently perform large-scale SIAs for outbreak prevention or response.
In this special issue, we consider measles and rubella together for several reasons. First, combination vaccines for measles include a rubella component, and most countries that include rubella in their RI programs use a combination vaccine.(3) Second, the Measles and Rubella Initiative now includes a focus on rubella.(2) Third, both viruses produce similar disease etiologies (i.e., fever, rash, cough, runny eyes), which leads to confusion of their clinical presentations but supports the development and maintenance of a shared disease surveillance system.
Despite the similarities in presentation, the viruses lead to some differences in sequelae. Measles, a human scourge recognized for centuries (also confusingly known as rubeola), is one of the most highly transmissible infectious diseases in humans, and it presents with noticeable symptoms and signs for most infections, with outcomes of complicated cases including pneumonia, blindness, encephalitis, thrombocytopenia, and death.(5) In contrast, rubella (also confusingly known as German measles) generally presents as a much milder disease that can go unnoticed (i.e., asymptomatic), with the most significant clinical symptoms of complicated rubella infections including arthritis, encephalitis, and thrombocytopenia. The clinical significance of rubella garnered recognition as a disease with serious adverse effects in 1941, when Australian ophthalmologist Dr. Norman McAlister Gregg made the connection between rubella infections in early pregnancy and serious congenital malformations observed in the infants.(6) Although preventable, rubella infection in early pregnancy remains the most common infectious cause of congenital birth defects, with CRS typically including one or more of the following clinical manifestations: congenital heart defects, eye defects, hearing loss, and mental disability.(7)
Although most developed countries use a MMR combination vaccine,(3) we do not include the consideration of mumps vaccine in the special issue, despite the potential health and economic benefits associated with its use. Variability in the strain of mumps vaccine used historically by different countries and vaccine formulations led to differences in associated adverse events (e.g., aseptic meningitis) that led some countries to consider it an unfavorable vaccine (e.g., Japan(8)). In addition, the relatively lower protection and faster waning of immunity associated with mumps vaccines(9,10) combined with some perception of mumps as not a serious disease, particularly in developing countries, currently limit regional and global efforts to coordinate its control.
Regionally and globally coordinated disease control efforts require the cooperation of multiple stakeholders and significant investments. However, cooperation and coordination often prove challenging, even with a global commitment to a goal. Similar to the analytical theme of prior special issues of Risk Analysis related to global poliovirus risk management, (11,12) the contents of this issue suggest that integrated risk, economic, decision, and dynamic models may play an important role in achieving disease elimination goals. Moreover, lessons learned from polio risk management efforts provide important insights relevant to measles and rubella modeling and management.
2. LESSONS FROM THE GPEI RELEVANT TO REGIONAL AND GLOBAL ELIMINATION GOALS FOR MEASLES AND RUBELLA
Twenty-five years into the GPEI and more than a decade late delivering on the initial 1988 goal of ending all poliomyelitis by 2000, many important lessons emerge from the polio effort relevant to coordinated regional and global measles and rubella elimination and/or control goals. The lessons include recognizing the importance of ensuring sufficient political and financial commitments, achieving and maintaining high population immunity including through the contribution of RI, addressing heterogeneity in immunization status within a population, and using integrated models to support resource management.
Managing vaccine-preventable diseases typically requires ongoing purchases of vaccine and support of RI and any SIAs, and this implies ongoing national financial and political commitments. Some exceptions exist when nonvaccine strategies can manage the disease; for example, most countries manage the risks of cholera by focusing on provision of clean water and effective sanitation and hygiene instead of vaccine. However, for polio, measles, and rubella, vaccination represents the primary intervention for disease control and elimination. In the case of polio, in spite of a global commitment to eradication dating back to 1988, many countries did not invest sufficient resources to interrupt transmission of the virus on their own, and many national RI programs remain inadequate. Thus, despite efforts and investments made to date to strengthen health systems, some health systems currently fail to perform sufficiently well to achieve or maintain national disease elimination goals. Underinvestment in health systems remains a significant concern for all vaccine-preventable diseases, with insufficient infrastructure (e.g., weak cold chains, poor surveillance) and chronic underservice of high-risk populations (e.g., migrants, displaced populations, the poor, individuals in insecure areas) presenting particular challenges.
The GPEI raised financial support to help countries with inadequate health system performance to increase their immunization coverage through SIAs. Unfortunately, many national RI programs for measles similarly remain inadequate. Like the GPEI, the Measles and Rubella Initiative provides some funding to support SIAs, with the amount of funding available determining the extent of annual SIAs. Programmatically, in addition to supporting immunization activities, the GPEI also provides financial and technical support for surveillance, research, outbreak response, coordination, communications, and development of a vaccine stockpile. The Measles and Rubella Initiative acts similarly, albeit currently with much lower levels of financial resources and without a global resolution for measles or rubella eradication. Insufficient political and financial support represented a chronic challenge for the GPEI, with funding gaps each year limiting progress (e.g., using resources for firefighting and reactive activities without sufficient investment in preventive activities required to achieve milestones and objectives),(13) at least until recently. Similar situations of insufficient financial support currently exist for measles and rubella, with funding for the Measles and Rubella Initiative remaining level (i.e., $60–80 million) since 2009, during a time that regional and global commitments to measles and rubella control and elimination increased.(14) The Measles and Rubella Initiative spent just over $1 billion cumulatively for the 2001–2013 (i.e., less than $100 million annually),(14) while in contrast the GPEI expects to spends nearly $6 billion for 2013–2018 (i.e., nearly $1 billion annually).(15) In the absence of both a strong commitment by stakeholders and the financial resources to support required activities to meet performance goals, large-scale coordinated disease management efforts will not meet their targets, although they may still make progress and improve health by providing immunizations to individuals who otherwise would not be protected. However, the lack of funding leads to failure to meet expectations, and this undermines further efforts to get the resources required. Underfunding can lead to delays, which will most likely ultimately lead to higher cumulative costs associated with reaching the objectives.(13,16)
Eradication and regional elimination require sustained, permanent prevention of transmission, which implies achieving and maintaining high levels of population immunity in all places contemporaneously. If the immune fraction of the population exceeds the virus transmission threshold for that population, then imported viruses will not encounter sufficient numbers of susceptible individuals to continue transmission and the virus will die out.(17) However, instead of focusing on just reaching immunization coverage levels expected to achieve the threshold immunity, countries need to aim for higher coverage and achieve high coverage as rapidly as possible.(16) In addition, in the absence of circulating wild virus and particularly if immunization intensity declines and population immunity drops, imported viruses can circulate and cause outbreaks.(17) Thus, stopping transmission represents a necessary but not sufficient condition for eradication or regional elimination goals. Permanent prevention of transmission requires maintenance of high levels of immunity, even in the absence of cases, until all viruses stop transmitting everywhere. Repeated reintroductions of imported viruses into previously wild-virus-free areas represent an ongoing issue for polio,(17) measles, and rubella. Ironically, successfully managing population immunity (and therefore preventing cases) can threaten support for continued prevention efforts. Specifically, as countries approach and reach the goal of no cases, perceptions about the importance of continued investments in and needs for immunization may change. Instead of recognizing the role of the vaccine in preventing bad outcomes, individuals may mistakenly believe that bad outcomes can no longer occur and thus assume immunization is no longer necessary or not a priority. This can unfortunately lead to a wavering commitment, which can make the achievement of targets take longer and cost more overall.(16)
One of the challenges to achieving and maintaining high population immunity relates to managing heterogeneity in immunization coverage and conditions conducive to viral transmission. All populations include some individuals missed by immunization, either because they fall outside of the health system (e.g., underserved, immigrants), the vaccine is not indicated due to a comorbidity or their age (e.g., interference with maternal antibodies for young infants for measles), or vaccine refusal. If undervaccinated individuals cluster in the population and mix preferentially, then this can lead to pockets of susceptible individuals who can sustain transmission(18–20) In the polio endgame, the GPEI increasingly emphasized the need to reach every child because low immunization coverage in some underserved populations (e.g., nomads, migrant groups, the poor, individuals living in insecure areas) and the resulting heterogeneity in population immunity to transmission threatens the goal of eradication. The same populations that posed difficulties for polio eradication also present challenges for measles and rubella elimination goals; however, recent efforts to identify and immunize these populations for polio should make it easier to identify and immunize them for measles and rubella and ideally to bring them into the national health system.
Similar to the situation for polio, surveillance for measles and rubella represents an essential activity. The relatively high frequency of poliovirus infections that do not lead to paralytic cases detected by the global surveillance system can lead to delays in the detection of an outbreak, which presented challenges for the GPEI, particularly as detection and management of the last reservoirs with circulating polioviruses represent the primary barrier to achieving polio eradication. In contrast, most measles cases appear to lead to detectable cases, although underreporting remains an issue. Rubella leads to some asymptomatic infections and symptoms confused with measles infections, which limits the extent to which national health programs see its transmission as a problem. In addition, surveillance for rubella and CRS remains insufficient to support some existing and potential future rubella control and elimination targets.
Using integrated models to support resource management can provide useful information to support decisions, and economic analyses can play a critical role in providing support for eradication or elimination efforts, particularly by characterizing the health and economic benefits associated with financial investments. For example, the GPEI benefited from studies that demonstrated the significant health and economic benefits associated with eradication compared to control(16) and the GPEI investment.(21) Two studies suggested significant benefits associated with measles eradication,(22,23) but no studies characterize the benefits of improved control or elimination of rubella. Current measles and rubella efforts would benefit from the development of investment cases that will help stakeholders appreciate the risks, costs, and benefits of options,(24) which requires the development of an integrated economic and dynamic disease model for measles and rubella. The model may also help to support efforts to identify priority areas for further research.(25)
3. SPECIAL ISSUE MOTIVATION AND CONTENTS OF PART I
The articles in this special issue use numerous abbreviations, which we summarize for readers in Table II of this first introductory article. The second article(26) systematically reviews the literature of health economic analyses (i.e., cost-effectiveness and benefit-cost analyses) of measles and rubella vaccine interventions. The review identifies a wealth of prior literature, but suggests the need for an integrated model that would support the consideration of the risks, costs, and benefits of interventions for both measles and rubella using a dynamic disease transmission model. The review also reveals the absence of prior characterization of disability-adjusted life year (DALY) estimates for health outcomes associated with rubella. The third article(27) systematically reviews the literature to characterize the pregnancy outcomes (i.e., spontaneous termination [miscarriage], fetal death [stillbirth], birth defects, and reduced survival for live-born infants) associated with rubella infections in pregnancy. The fourth article(7) systematically reviews the literature on birth outcomes associated with rubella infections in early pregnancy and characterizes DALYs as a function of 2013 World Bank Income Levels.(28) The fifth article(29) uses the model inputs from prior economic analyses, a prior discussion of measles and rubella cost and benefit characterization for the GVAP,(30) and other cost studies to characterize the cost and valuation inputs for integrated measles and rubella models and DALY estimates for measles as a function of 2013 World Bank Income Levels.(28)
Table II.
Ab = neutralizing antibody (generic term) |
ASD = atral septal defect |
BCA = benefit-cost analysis |
CDC = U.S. Centers for Disease Control and Prevention |
CEA = cost-effectiveness analysis |
CFR = case-fatality ratio |
CHD = congenital heart disease |
CNS = central nervous system |
CRI = congenital rubella infection |
CRS = congenital rubella syndrome |
DALY = disability-adjusted life year |
DPT = diphtheria–pertussis–tetanus vaccine |
E1 = exposed and latent infection immunity state 1 |
E2 = exposed and latent infection immunity state 2 |
EIP = effective immune proportion |
EIP* = threshold level of EIP below which a population can sustain transmission |
ESP = effective susceptible proportion |
ESP* = threshold level of ESP above which a population can sustain transmission |
FS = fully susceptible fetus |
FI = infected fetus |
FR = recovered fetus (for rubella only) |
FMIR = fetus with maternal antibodies from a mother with infection-induced immunity |
FMIV = fetus with maternal antibodies from a mother with vaccine-induced immunity |
GBD = global burden of disease |
GNI = gross national income |
GPEI = Global Polio Eradication Initiative |
GVAP = Global Vaccine Action Plan |
HEPB = hepatitis B vaccine |
HIB = Haemophilus influenzae type b |
HIGH = high-income country |
HIV = human immunodeficiency virus |
I1 = infectious immunity state 1 |
I2 = infectious immunity state 2 |
ICER = incremental cost-effectiveness ratio |
IFR = infection-fatality ratio |
IFRRF = infection-fatality ratio reduction fraction |
INB = incremental net benefits |
IPV = inactivated poliovirus vaccine |
κ(x) = the proportion of contacts for individuals in mixing age group x |
LE = life expectancy |
LMI = lower-middle-income country |
LMP = last menstrual period |
LOW = low-income country |
M = measles vaccine |
M or MCV= measles vaccine or measles containing vaccine |
MI = maternally immune |
MIP = measles infection during pregnancy |
MIR = maternally immune with antibodies provided by mothers who recovered from wild virus infection immunity state |
MIR1 = maternally immune with antibodies provided by mothers who recovered from wild virus infection and received one or more doses of vaccine that did not “take” |
MIV = maternally immune with antibodies provided by mothers who recovered from vaccination |
MIV1 = maternally immune with antibodies provided by mothers who recovered from vaccination and received one or more doses of vaccine that did not “take” |
MMR = measles–mumps–rubella vaccine |
MNG = Meningococcal vaccine |
MR = measles–rubella vaccine |
MRCV = measles and rubella containing vaccine |
M(R)CV = measles (with or without rubella) containing vaccine |
M&RI = Measles & Rubella Initiative |
MSEIR = transmission model with maternal immunity, susceptibility, infected but not infectious, infectious, and recovered immunity states |
MSEIRV = transmission model with maternal immunity, susceptibility, infected but not infectious, infectious, recovered, and vaccinated immunity states |
MSP = measles strategic planning |
NA = not applicable |
ND = not done |
NID = national immunization day |
NR = not reported |
OPV = oral poliovirus vaccine |
ORI = outbreak response immunization |
ORS = oral rehydration salts |
PDA = patent ductus arteriosus |
PNE = pneumococcal conjugate vaccine |
PS = pulmonic stenosis |
QALY = quality-adjusted life year |
R = recovered from wild virus infection immunity state |
RCV = rubella containing vaccine |
RI = routine immunization |
RIP = rubella infections during pregnancy |
R0 = basic reproduction number |
S = fully susceptible and never exposed to wild virus or vaccine immunity state |
S1 = fully susceptible despite receipt of one or more doses of vaccine immunity state (i.e., vaccine failure immunity state) |
SEIR = transmission model with susceptibility, infected but not infectious, infectious, and recovered immunity states |
SIA = supplemental immunization activity |
SIR = transmission model with susceptibility, infectious, and recovered immunity states |
SNIDs = subnational immunization days |
SSPE = subacute sclerosing panencephalitis |
UK = United Kingdom |
UMI = upper-middle-income country |
UN = United Nations |
UNPD = United Nations Population Division |
US = United States |
VAERS = Vaccine Adverse Event Reporting System |
VAR = varicella vaccine |
VORI = immune due to take of dose received during outbreak response SIA immunity state |
VPD = vaccine-preventable disease |
VRI1 = immune due to take of RI dose 1 immunity state |
VRI2 = immune due to take of RI dose 2 immunity state |
VSD = ventricular septal defect |
VSIA = immune due to take of dose received during a preventive SIA immunity state |
WBIL = World Bank income level |
WCBA = women of child-bearing age |
WHA = World Health Assembly |
WHO = World Health Organization |
YLD = years of productive life lost due to disability |
YLL = years of life lost due to premature mortality |
The sixth article provides a review of prior models developed as dynamic transmission models for measles and rubella risk and policy analysis.(4) This article includes discussion of the evolution of policies related to rubella, and highlights the opportunity of eliminating rubella simultaneously with measles and the missed opportunity of failing to do so. Recognizing the importance of heterogeneity and building on an individual-based model used to characterize poliovirus transmission in the North American Amish,(31) the seventh article(32) characterizes measles transmission in the Amish with a focus on the large 2014 outbreak in Ohio. The eighth article(33) explores heterogeneity in the vaccination coverage in central Florida, which represents a relatively high-risk area for importations given its family-oriented tourist attractions. This analysis provides some contrast with the more significant clustering of undervaccinated individuals in California,(34) which supported a large measles outbreak during the winter of 2014–2015 associated with Disney theme parks in California.
To model measles and rubella transmission in each country, the ninth article(35) synthesizes and characterizes the immunization and exposure histories for over 180 WHO member states and three associated geographic areas based on available data. The tenth article(36) systematically reviews the available peer-reviewed measles and rubella serological studies published in English, which provide information about population immunity at the time of data collection for the individuals studied. The eleventh article(37) of the special issue provides a framework for developing a vaccine stockpile for currently used vaccines and discusses the direct application to measles and rubella vaccines with some contrast to cholera vaccines.
4. THE ROAD AHEAD
The contents of Part I of the special issue provide a foundation for using integrated models to support policy discussions related to achieving the GVAP goals for measles and rubella and for the development of the associated investment cases. Further efforts to develop integrated models and investment cases should help policymakers explore the tradeoffs associated with various options and value the health benefits associated with financial investments in economic terms.
ACKNOWLEDGMENTS
The authors thank Charles Haas for serving as the Area Editor for the special issue and Karen Lowrie and Anthony Cox for making this collection possible. The first author thanks the U.S. Centers for Disease Control and Prevention (CDC) for supporting this work under Cooperative Agreement U66IP000519. The work described in the special issue also benefited from this Cooperative Agreement and from support from the World Health Organization (WHO) under Contracts APW 200470477 and 200526236. The findings and conclusions in this article are those of the authors and do not necessarily represent the official position of the CDC or the WHO. In addition to all of the authors of the articles in this special issue, the authors thank Anindya Sekhar Bose, Casey Boudreau, Daniel Carter, Katie Cuming, Lisa Cairns, Thomas Cherian, Susan Chu, Messeret Eshetu, Andrea Gay, Tracey Goodman, Christopher Gregory, Mark Grabowsky, Matt Hansen, L. Homero Hernandez, Edward Hoekstra, Joseph Icenogle, Suresh Jadavh, Sam Katz, Orin Levine, Apoorva Mallya, Rebecca Martin, Ali Jaffar Mohamed, Chris Morry, Walter A. Orenstein, Mark Pallansch, Kuotong Nongho Rogers (Tambie), Paul Rota, Maya van den Ent, Maya Vijayaraghavan, Steven Wassilak, and Wang Xiaojun for contributions.
REFERENCES
- 1.Decade of Vaccines. Global vaccine action plan. Available at: http://www.who.int/immunization/global_vaccine_action_plan/GVAP_doc_2011_2020/en/, Accessed 12 April 2015.
- 2.World Health Organization. Global measles and rubella strategic plan, 2012–2020. Available at: http://www.who.int/immunization/newsroom/Measles_Rubella_StrategicPlan_2012_2020.pdf, Accessed 11 May 2014.
- 3.Thompson KM, Dabbagh A, Strebel PM, Perry R, Gacic-Dobo M, Cochi SL, Cairns L, Reef S. National and global options for managing the risks of measles and rubella. Journal of Vaccines and Vaccination, 2012;3:165. doi: 10.4172/2157-7560.1000165. [DOI] [Google Scholar]
- 4.Thompson KM. Evolution and use of dynamic transmission models for measles and rubella. Risk Analysis, 2016; 36(7):1383–1403. [DOI] [PubMed] [Google Scholar]
- 5.Strebel PM, Papania MJ, Fiebelkorn AP, Halsey NA. Measles vaccine. Pp. 352–387 in Plotkin SA, Orenstein WA, Offit PA (eds). Vaccines: Expert Consult, 6th ed., Chapter 20. Philadelphia, PA: Elsevier Saunders, 2012. [Google Scholar]
- 6.Gregg NM. Congenital cataract following German measles in the mother. Transactions of the Ophthalmological Society of Australia, 1941;3:35–46. [Google Scholar]
- 7.Simons EA, Reef SE, Cooper LZ, Zimmerman L, Thompson KM. Systematic review of the manifestations of congenital rubella syndrome in infants and characterization of disability-adjusted life years (DALYs). Risk Analysis, 2014; 36(7):1332–1356. [DOI] [PubMed] [Google Scholar]
- 8.Ueda K, Miyazaki C, Hidaka Y, Okada K, Kusuhara K, Kadoya R. Aseptic meningitis caused by measles-mumps-rubella vaccine in Japan. Lancet, 1995; 346(8976):701–702. [DOI] [PubMed] [Google Scholar]
- 9.Plotkin SA. Commentary: Mumps vaccines: Do we need a new one? Pediatric Infectious Disease Journal, 2013; 32(4):381–382. [DOI] [PubMed] [Google Scholar]
- 10.Rubin SA, Plotkin SA. Mumps vaccine. Pp. 419–446 in Plotkin SA, Orenstein WA, Offit PA (eds). Vaccines: Expert Consult, 6th ed., Chapter 22. Philadelphia, Pa: Elsevier Saunders, 2012. [Google Scholar]
- 11.Thompson KM. Poliomyelitis and the role of risk analysis in global infectious disease policy and management. Risk Analysis, 2006;26(6):1419–1421. [DOI] [PubMed] [Google Scholar]
- 12.Thompson KM. Modeling poliovirus risks and the legacy of polio eradication. Risk Analysis, 2013;33(4):505–515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Thompson KM, Tebbens RJD. Using system dynamics to develop policies that matter: Global management of poliomyelitis and beyond. System Dynamics Review, 2008; 24(4):433–449. [Google Scholar]
- 14.Measles & Rubella Initiative. The measles & rubella initiative 2013 annual report, 2013.
- 15.World Health Organization. Global Polio Eradication Initiative—Financial resource requirements 2013–2018 as of 1 June 2013. Geneva, 2013. Report No.: WHO/POLIO/13.01. [Google Scholar]
- 16.Thompson KM, Tebbens RJ. Eradication versus control for poliomyelitis: An economic analysis. Lancet, 2007; 369(9570):1363–1371. [DOI] [PubMed] [Google Scholar]
- 17.Thompson KM, Kalkowska DA, Duintjer Tebbens RJ. Managing population immunity to reduce or eliminate the risks of circulation following the importation of polioviruses. Vaccine, 2015; 33(13):1568–1577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kisjes KH, Duintjer Tebbens RJ, Wallace GS, Pallansch MA, Cochi SL, Wassilak SGF, Thompson KM. Individual-based modeling of potential poliovirus transmission in connected religious communities in North America with low uptake of vaccination. Journal of Infectious Diseases, 2014; 210(S1):424–433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Thompson KM, Wallace GS, Tebbens RJ, Smith PJ, Barskey AE, Pallansch MA, Gallagher KM, Alexander JP, Armstrong GL, Cochi SL, Wassilak SG. Trends in the risk of U.S. polio outbreaks and poliovirus vaccine availability for response. Public Health Reports, 2012. ; 127(1):23–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Duintjer Tebbens RJ, Pallansch MA, Kalkowska DA, Wassilak SG, Cochi SL, Thompson KM. Characterizing poliovirus transmission and evolution: Insights from modeling experiences with wild and vaccine-related polioviruses. Risk Analysis, 2013; 33(4):703–749. [DOI] [PubMed] [Google Scholar]
- 21.Duintjer Tebbens RJ, Pallansch MA, Cochi SL, Wassilak SG, Linkins J, Sutter RW, Aylward RB, Thompson KM. Economic analysis of the global polio eradication initiative. Vaccine, 2010; 29(2):334–343. [DOI] [PubMed] [Google Scholar]
- 22.Levin A, Burgess C, Garrison LP Jr., Bauch C, Babigumira J, Simons E, Dabbagh A. Global eradication of measles: An epidemiologic and economic evaluation. Journal of Infectious Diseases, 2011; 204(Suppl 1):S98–S106. [DOI] [PubMed] [Google Scholar]
- 23.Bishai D, Johns B, Lefevre A, Nair D, Simons E, Dabbagh A. Measles eradication versus measles control: An economic analysis. Journal of Vaccines and Vaccination, 2012; S:3. doi: 10.4172/2157-7560.S3-002. [DOI] [Google Scholar]
- 24.Thompson KM, Duintjer Tebbens RJ. Development of investment cases for globally-coordinated management of infectious diseases. Journal of Vaccines and Vaccination, 2012; 3:164. doi: 10.4172/2157-7560.1000164. [DOI] [Google Scholar]
- 25.Goodson JL, Chu SY, Rota PA, Moss WJ, Featherstone DA, Vijayaraghavan M, Thompson KM, Martin R, Reef S, Strebel PM. Research priorities for global measles and rubella control and eradication. Vaccine, 2012; 30(32):4709–4716. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Thompson KM, Odahowski CL. Systematic review of health economic analyses of measles and rubella immunization interventions. Risk Analysis, 2014; 36(7):1297–1314. [DOI] [PubMed] [Google Scholar]
- 27.Thompson KM, Simons EA, Badizadegan K, Reef SE, Cooper LZ. Characterization of the risks of adverse outcomes following rubella infection in pregnancy. Risk Analysis, 2014; 36(7):1315–1331. [DOI] [PubMed] [Google Scholar]
- 28.World Bank. New country classifications, World Bank income levels. Available at: http://data.worldbank.org/news/new-country-classifications, Accessed 3 March 2014.
- 29.Thompson KM, Odahowski CL. The costs and valuation of health impacts of measles and rubella risk management policies. Risk Analysis, 2015; 36(7):1357–1382. [DOI] [PubMed] [Google Scholar]
- 30.Thompson KM, Strebel PM, Dabbagh A, Cherian T, Cochi SL. Enabling implementation of the global vaccine action plan: Developing investment cases to achieve targets for measles and rubella prevention. Vaccine, 2013; 31(Suppl 2):B149–B156. [DOI] [PubMed] [Google Scholar]
- 31.Kisjes KH, Duintjer Tebbens RJ, Wallace GS, Pallansch MA, Cochi SL, Wassilak SGF, Thompson KM. Individual-based modeling of potential poliovirus transmission in connected religious communities in North America with low uptake of vaccination. Journal of Infectious Diseases, 2014; 210(suppl 1):S424–S433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Thompson KM, Kisjes KH. Modeling measles transmission in the North America Amish and options for outbreak response. Risk Analysis, 2015; 36(7):1404–1417. [DOI] [PubMed] [Google Scholar]
- 33.Thompson KM, Logan GE; Research Team from Florida SHOTS™. Characterization of heterogeneity in childhood immunization coverage in central Florida using immunization registry data. Risk Analysis, 2015; 36(7):1418–1426. [DOI] [PubMed] [Google Scholar]
- 34.Lieu TA, Ray GT, Klein NP, Chung C, Kulldorff M. Geographic clusters in underimmunization and vaccine refusal. Pediatrics, 2015; 135(2):280–289. [DOI] [PubMed] [Google Scholar]
- 35.Thompson KM, Odahowski CL, Goodson JL, Reef SE, Perry RT. Synthesis of evidence to characterize national historical measles and rubella exposure and immunization histories. Risk Analysis, 2015; 36(7):1427–1458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Thompson KM, Odahowski CL. Systematic review of measles and rubella serology studies. Risk Analysis, 2015; 36(7):1459–1486. [DOI] [PubMed] [Google Scholar]
- 37.Thompson KM, Duintjer Tebbens RJ. Framework for optimal global vaccine stockpile design for vaccine-preventable diseases: Application to measles and cholera vaccines as contrasting examples. Risk Analysis, 2014; 36(7):1315–1331. [DOI] [PubMed] [Google Scholar]