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Parsons Leigh J, FitzGerald EA, Moss SJ, Cherak MS, Brundin-Mather R, Dodds A, Stelfox HT, Dubé È, Fiest KM, Halperin DM, Ahmed SB, MacDonald SE, Straus SE, Manca T, Ng Kamstra J, Soo A, Longmore S, Kupsch S, Sept B, Halperin SA. The evolution of vaccine hesitancy through the COVID-19 pandemic: A semi-structured interview study on booster and bivalent doses. Hum Vaccin Immunother 2024; 20:2316417. [PMID: 38390696 PMCID: PMC10896168 DOI: 10.1080/21645515.2024.2316417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/06/2024] [Indexed: 02/24/2024] Open
Abstract
We sought in-depth understanding on the evolution of factors influencing COVID-19 booster dose and bivalent vaccine hesitancy in a longitudinal semi-structured interview-based qualitative study. Serial interviews were conducted between July 25th and September 1st, 2022 (Phase I: univalent booster dose availability), and between November 21st, 2022 and January 11th, 2023 (Phase II: bivalent vaccine availability). Adults (≥18 years) in Canada who had received an initial primary series and had not received a COVID-19 booster dose were eligible for Phase I, and subsequently invited to participate in Phase II. Twenty-two of twenty-three (96%) participants completed interviews for both phases (45 interviews). Nearly half of participants identified as a woman (n = 11), the median age was 37 years (interquartile range: 32-48), and most participants were employed full-time (n = 12); no participant reported needing to vaccinate (with a primary series) for their workplace. No participant reported having received a COVID-19 booster dose at the time of their interview in Phase II. Three themes relating to the development of hesitancy toward continued vaccination against COVID-19 were identified: 1) effectiveness (frequency concerns; infection despite vaccination); 2) necessity (less threatening, low urgency, alternate protective measures); and 3) information (need for data, contradiction and confusion, lack of trust, decreased motivation). The data from interviews with individuals who had not received a COVID-19 booster dose or bivalent vaccine despite having received a primary series of COVID-19 vaccines highlights actionable targets to address vaccine hesitancy and improve public health literacy.
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Affiliation(s)
- Jeanna Parsons Leigh
- Faculty of Health, School of Health Administration, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada
- Canadian Center for Vaccinology & IWK Health Center, Halifax, Nova Scotia, Canada
| | - Emily A FitzGerald
- Faculty of Health, School of Health Administration, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Stephana Julia Moss
- Faculty of Health, School of Health Administration, Dalhousie University, Halifax, Nova Scotia, Canada
- CRISMA Center, Department of Critical Care, University of Pittsburgh, Pittsburgh, USA
| | - Michal S Cherak
- Faculty of Health, School of Health Administration, Dalhousie University, Halifax, Nova Scotia, Canada
- Canadian Center for Vaccinology & IWK Health Center, Halifax, Nova Scotia, Canada
| | | | - Alexandra Dodds
- Faculty of Health, School of Health Administration, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Henry T Stelfox
- Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Ève Dubé
- Centre de Recherche du CHU de Québec, Université Laval, Québec, Canada
- Département d'anthropologie, Université Laval, Québec, Canada
| | - Kirsten M Fiest
- Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada
- O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry & Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Donna M Halperin
- Canadian Center for Vaccinology & IWK Health Center, Halifax, Nova Scotia, Canada
- Rankin School of Nursing, St. Francis Xavier University, Antigonish, Nova Scotia, Canada
| | - Sofia B Ahmed
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Shannon E MacDonald
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
- Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada
| | - Sharon E Straus
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Terra Manca
- Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada
- Sociology and Social Anthropology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Josh Ng Kamstra
- Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrea Soo
- Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Health Services, Calgary, Alberta, Canada
| | - Shelly Longmore
- Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Shelly Kupsch
- Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Bonnie Sept
- Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Scott A Halperin
- Canadian Center for Vaccinology & IWK Health Center, Halifax, Nova Scotia, Canada
- Department of Pediatrics, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
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Salo H, Perälä J, Hannila-Handelberg T, Sarvikivi E, Luomala O, Ollgren J, Leino T. Decline in varicella cases contacting primary health care after introduction of varicella vaccination in Finland - A population-based register study. Vaccine 2023; 41:6535-6541. [PMID: 37743119 DOI: 10.1016/j.vaccine.2023.09.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/14/2023] [Accepted: 09/14/2023] [Indexed: 09/26/2023]
Abstract
A two-dose varicella vaccination programme at the age of 18 months and 6 years started in September 2017 in Finland with catch-up vaccinations, based on earlier modelling results, for children <12 years (born in 2006 or later) with no history of varicella. Nationwide population-based register data were used to assess the age-specific vaccination coverage and the annual incidence rates of varicella cases contacting public primary health care in 2014-2020. Age-specific incidence rates after (2022) and before (2014-2016) the implementation of the vaccination programme was compared by incidence rate ratios (IRR) with 95 % confidence interval. In 2019-2022, the first-dose coverage of varicella vaccination among children following the routine vaccination programme ranged from 85 to 87 % (children born in 2016 or later). The second-dose coverage was 58 % for the children born in 2016. The coverage of the catch-up vaccinations ranged from 18 % (children born in 2006) to 82 % (children born in 2015) for the first dose and from 10 % to 64 % for the second dose in the respective birth cohorts. In 2022, compared to the pre-vaccination period (2014-2016) the annual incidence rate of varicella cases contacting public primary health care declined in all age groups. The reduction ranged from 92 % to 98 % among the children eligible for the vaccinations (born 2006 or later). The 87 % reduction in the incidence rate among the unvaccinated children < 1 year suggests the indirect effect of the vaccinations. Introducing varicella vaccinations with catch-up was associated with rapid reduction in the varicella cases contacting primary health care in all ages. However, the coverage of the routine programme needs to be improved further as presently susceptibles accumulate and enable thus further outbreaks in coming decades.
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Affiliation(s)
- Heini Salo
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare (THL), Helsinki, Finland.
| | - Jori Perälä
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Tuula Hannila-Handelberg
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Emmi Sarvikivi
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Oskari Luomala
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Jukka Ollgren
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Tuija Leino
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
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Modeling the Impact of Exogenous Boosting and Universal Varicella Vaccination on the Clinical and Economic Burden of Varicella and Herpes Zoster in a Dynamic Population for England and Wales. Vaccines (Basel) 2022; 10:vaccines10091416. [PMID: 36146493 PMCID: PMC9501498 DOI: 10.3390/vaccines10091416] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/18/2022] [Accepted: 08/20/2022] [Indexed: 11/17/2022] Open
Abstract
Universal varicella vaccination (UVV) in England and Wales has been hindered by its potential impact on exogenous boosting and increase in herpes zoster (HZ) incidence. We projected the impact of ten UVV strategies in England and Wales on the incidence of varicella and HZ and evaluated their cost-effectiveness over 50 years. The Maternal-Susceptible-Exposed-Infected-Recovered-Vaccinated transmission model was extended in a dynamically changing, age-structured population. Our model estimated that one- or two-dose UVV strategies significantly reduced varicella incidence (70–92%), hospitalizations (70–90%), and mortality (16–41%) over 50 years. A small rise in HZ cases was projected with UVV, peaking 22 years after introduction at 5.3–7.1% above pre-UVV rates. Subsequently, HZ incidence steadily decreased, falling 12.2–14.1% below pre-UVV rates after 50 years. At a willingness-to-pay threshold of 20,000 GBP/QALY, each UVV strategy was cost-effective versus no UVV. Frontier analysis showed that one-dose UVV with MMRV-MSD administered at 18 months is the only cost-effective strategy compared to other strategies. HZ incidence varied under alternative exogenous boosting assumptions, but most UVV strategies remained cost-effective. HZ vaccination decreased HZ incidence with minimal impact on the cost-effectiveness. Introducing a UVV program would significantly reduce the clinical burden of varicella and be cost-effective versus no UVV after accounting for the impact on HZ incidence.
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Hollingsworth B, Okamoto KW, Lloyd AL. After the honeymoon, the divorce: Unexpected outcomes of disease control measures against endemic infections. PLoS Comput Biol 2020; 16:e1008292. [PMID: 33075052 PMCID: PMC7595641 DOI: 10.1371/journal.pcbi.1008292] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 10/29/2020] [Accepted: 08/27/2020] [Indexed: 12/02/2022] Open
Abstract
The lack of effective vaccines for many endemic diseases often forces policymakers to rely on non-immunizing control measures, such as vector control, to reduce the massive burden of these diseases. Controls can have well-known counterintuitive effects on endemic infections, including the honeymoon effect, in which partially effective controls cause not only a greater initial reduction in infection than expected, but also large outbreaks during control resulting from accumulation of susceptibles. Unfortunately, many control measures cannot be maintained indefinitely, and the results of cessation are poorly understood. Here, we examine the results of stopped or failed non-immunizing control measures in endemic settings. By using a mathematical model to compare the cumulative number of cases expected with and without control, we show that deployment of control can lead to a larger total number of infections, counting from the time that control started, than without any control-the divorce effect. This result is directly related to the population-level loss of immunity resulting from non-immunizing controls and is seen in a variety of models when non-immunizing controls are used against an infection that confers immunity. Finally, we examine three control plans for minimizing the magnitude of the divorce effect in seasonal infections and show that they are incapable of eliminating the divorce effect. While we do not suggest stopping control programs that rely on non-immunizing controls, our results strongly argue that the accumulation of susceptibility should be considered before deploying such controls against endemic infections when indefinite use of the control is unlikely. We highlight that our results are particularly germane to endemic mosquito-borne infections, such as dengue virus, both for routine management involving vector control and for field trials of novel control approaches, and in the context of non-pharmaceutical interventions aimed at COVID-19.
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Affiliation(s)
- Brandon Hollingsworth
- Biomathematics Graduate Program, North Carolina State University, Raleigh, NC, United States of America
| | - Kenichi W. Okamoto
- Department of Biology, University of St. Thomas, St. Paul, MN, United States of America
| | - Alun L. Lloyd
- Biomathematics Graduate Program, North Carolina State University, Raleigh, NC, United States of America
- Department of Mathematics, North Carolina State University, Raleigh, NC, United States of America
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Wang L, Zhu L, Zhu H. Efficacy of varicella (VZV) vaccination: an update for the clinician. THERAPEUTIC ADVANCES IN VACCINES 2016; 4:20-31. [PMID: 27551429 DOI: 10.1177/2051013616655980] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Varicella-zoster virus (VZV) infection causes two distinct clinical conditions. Primary varicella infection results in chickenpox, a contagious rash illness typically seen among children. VZV can reactivate years after the initial infection to cause herpes zoster (HZ) and lead to post-herpetic neuralgia, a common complication resulting in persistent pain that may last for years after the zoster rash resolves. A person's risk of having longer lasting and more severe pain associated with HZ increases with age. Since the introduction of VZV vaccines, the rates of infection, hospitalizations, and mortality have declined. In this review, we discuss in detail current VZV vaccines available for the prevention of VZV and HZ infections. Varilrix (GSK Biologicals, UK), Varivax (Merck, USA) and the combined measles, mumps, rubella, and varicella (MMRV) vaccine contain the live attenuated Oka strain of VZV for routine varicella vaccination. While Zostavax is the only HZ vaccine currently approved for use in the United States and the European Union [EMEA, 2011], a subunit vaccine candidate called HZ/su has recently shown improved efficacy for zoster prevention in two clinical trial phase III studies. VariZIG, a post-exposure prophylactic, uses zoster immune globulin to prevent VZV infection in those who have recently been in contact with VZV but lack evidence of varicella immunity and are contraindicated to receive the varicella vaccine. Further, we discuss the skin tropic and neurotropic factor VZV ORF7 gene and its involvement in varicella infection, reactivation and latency in ganglia. Ultimately, these studies can contribute to the development of a neuroattenuated vaccine candidate against varicella or a vector for delivery of other virus antigens.
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Affiliation(s)
- Lili Wang
- Rutgers-New Jersey Medical School, Newark, NJ, USA
| | - Lucy Zhu
- University of California, Berkeley, USA
| | - Hua Zhu
- 225 Warren Street,NJ 07103 Rutgers-New Jersey Medical School, Newark, NJ, 07103-2714, USA
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The effects of school holidays on transmission of varicella zoster virus, England and Wales, 1967-2008. PLoS One 2014; 9:e99762. [PMID: 24932994 PMCID: PMC4059708 DOI: 10.1371/journal.pone.0099762] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2014] [Accepted: 05/18/2014] [Indexed: 11/26/2022] Open
Abstract
Background Changes in children’s contact patterns between termtime and school holidays affect the transmission of several respiratory-spread infections. Transmission of varicella zoster virus (VZV), the causative agent of chickenpox, has also been linked to the school calendar in several settings, but temporal changes in the proportion of young children attending childcare centres may have influenced this relationship. Methods We used two modelling methods (a simple difference equations model and a Time series Susceptible Infectious Recovered (TSIR) model) to estimate fortnightly values of a contact parameter (the per capita rate of effective contact between two specific individuals), using GP consultation data for chickenpox in England and Wales from 1967–2008. Results The estimated contact parameters were 22–31% lower during the summer holiday than during termtime. The relationship between the contact parameter and the school calendar did not change markedly over the years analysed. Conclusions In England and Wales, reductions in contact between children during the school summer holiday lead to a reduction in the transmission of VZV. These estimates are relevant for predicting how closing schools and nurseries may affect an outbreak of an emerging respiratory-spread pathogen.
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Andradóttir S, Chiu W, Goldsman D, Lee ML. Simulation of influenza propagation: Model development, parameter estimation, and mitigation strategies. ACTA ACUST UNITED AC 2014. [DOI: 10.1080/19488300.2014.880093] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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Kaslow RA, Stanberry LR, Le Duc JW. Viral Dynamics and Mathematical Models. VIRAL INFECTIONS OF HUMANS 2014. [PMCID: PMC7119994 DOI: 10.1007/978-1-4899-7448-8_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Abstract
Mathematical tools have been widely applied in understanding the dynamics and control of viral infections. Here we present some fundamental aspects of infection dynamics, starting with acute immunising infections as a case study for herd immunity and other important factors in the spread and control of infection. We then discuss the dynamics of infections with more complex life histories, including chronic infections, and those showing evolution for immune escape. We conclude with a discussion of important gaps in our current understanding of viral dynamics, along with future research needs.
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Affiliation(s)
- Richard A. Kaslow
- Department of Epidemiology, University of Alabama, Birmingham School of Public Health, Birmingham, Alabama USA
| | - Lawrence R. Stanberry
- Departmant of Pediatrics, Columbia University College of Physicians and Surgeons, New York, New York USA
| | - James W. Le Duc
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas USA
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9
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Goldman GS, King PG. Review of the United States universal varicella vaccination program: Herpes zoster incidence rates, cost-effectiveness, and vaccine efficacy based primarily on the Antelope Valley Varicella Active Surveillance Project data. Vaccine 2013; 31:1680-94. [PMID: 22659447 PMCID: PMC3759842 DOI: 10.1016/j.vaccine.2012.05.050] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2012] [Revised: 05/10/2012] [Accepted: 05/19/2012] [Indexed: 12/31/2022]
Abstract
In a cooperative agreement starting January 1995, prior to the FDA's licensure of the varicella vaccine on March 17, the Centers for Disease Control and Prevention (CDC) funded the Los Angeles Department of Health Services' Antelope Valley Varicella Active Surveillance Project (AV-VASP). Since only varicella case reports were gathered, baseline incidence data for herpes zoster (HZ) or shingles was lacking. Varicella case reports decreased 72%, from 2834 in 1995 to 836 in 2000 at which time approximately 50% of children under 10 years of age had been vaccinated. Starting in 2000, HZ surveillance was added to the project. By 2002, notable increases in HZ incidence rates were reported among both children and adults with a prior history of natural varicella. However, CDC authorities still claimed that no increase in HZ had occurred in any US surveillance site. The basic assumptions inherent to the varicella cost-benefit analysis ignored the significance of exogenous boosting caused by those shedding wild-type VZV. Also ignored was the morbidity associated with even rare serious events following varicella vaccination as well as the morbidity from increasing cases of HZ among adults. Vaccine efficacy declined below 80% in 2001. By 2006, because 20% of vaccinees were experiencing breakthrough varicella and vaccine-induced protection was waning, the CDC recommended a booster dose for children and, in 2007, a shingles vaccination was approved for adults aged 60 years and older. In the prelicensure era, 95% of adults experienced natural chickenpox (usually as children)-these cases were usually benign and resulted in long-term immunity. Varicella vaccination is less effective than the natural immunity that existed in prevaccine communities. Universal varicella vaccination has not proven to be cost-effective as increased HZ morbidity has disproportionately offset cost savings associated with reductions in varicella disease. Universal varicella vaccination has failed to provide long-term protection from VZV disease.
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Affiliation(s)
- G S Goldman
- Independent Computer Scientist, P.O. Box 847, Pearblossom, CA 93553, United States.
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10
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Shrestha S, King AA, Rohani P. Statistical inference for multi-pathogen systems. PLoS Comput Biol 2011; 7:e1002135. [PMID: 21876665 PMCID: PMC3158042 DOI: 10.1371/journal.pcbi.1002135] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2010] [Accepted: 06/10/2011] [Indexed: 11/19/2022] Open
Abstract
There is growing interest in understanding the nature and consequences of interactions among infectious agents. Pathogen interactions can be operational at different scales, either within a co-infected host or in host populations where they co-circulate, and can be either cooperative or competitive. The detection of interactions among pathogens has typically involved the study of synchrony in the oscillations of the protagonists, but as we show here, phase association provides an unreliable dynamical fingerprint for this task. We assess the capacity of a likelihood-based inference framework to accurately detect and quantify the presence and nature of pathogen interactions on the basis of realistic amounts and kinds of simulated data. We show that when epidemiological and demographic processes are well understood, noisy time series data can contain sufficient information to allow correct inference of interactions in multi-pathogen systems. The inference power is dependent on the strength and time-course of the underlying mechanism: stronger and longer-lasting interactions are more easily and more precisely quantified. We examine the limitations of our approach to stochastic temporal variation, under-reporting, and over-aggregation of data. We propose that likelihood shows promise as a basis for detection and quantification of the effects of pathogen interactions and the determination of their (competitive or cooperative) nature on the basis of population-level time-series data. It is becoming increasingly evident that pathogens associated with infectious diseases interact amongst themselves. Pathogen interactions can occur in a co-infected host, or in host populations where they co-circulate, and they can be cooperative or competitive. Four serotypes of dengue virus, for example, can exhibit both forms of interactions – cross protection for a temporary period and followed by long-lasting enhancement. This bears important consequences for understanding the ecology and developing control and prevention measures. Detecting such interactions in a natural host population, though, can be tricky. We show that studying the phase relation of epidemic cycles, as it has been typically done, is unreliable. We assess the ability of a likelihood based method in detecting such interactions, and find that they are accurate and robust. We propose that this framework shows promise of serving as a basis for detecting and quantifying pathogen interactions.
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Affiliation(s)
- Sourya Shrestha
- Department of Ecology & Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America.
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Abstract
Modelling is valuable in the planning and evaluation of interventions, especially when a controlled trial is ethically or logistically impossible. Models are often used to calculate the expected course of events in the absence of more formal assessments. They are also used to derive estimates of rare or future events from recorded intermediate points. When developing models, decisions are needed about the appropriate level of complexity to be represented and about model structure and assumptions. The degree of rigor in model development and assessment can vary greatly, and there is a danger that existing beliefs inappropriately influence judgments about model assumptions and results.
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Affiliation(s)
- Geoffrey P Garnett
- Department of Infectious Disease Epidemiology, Imperial College London, London, UK
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12
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Silhol R, Boëlle PY. Modelling the effects of population structure on childhood disease: the case of varicella. PLoS Comput Biol 2011; 7:e1002105. [PMID: 21814504 PMCID: PMC3140963 DOI: 10.1371/journal.pcbi.1002105] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2010] [Accepted: 05/13/2011] [Indexed: 11/26/2022] Open
Abstract
Realistic, individual-based models based on detailed census data are increasingly used to study disease transmission. Whether the rich structure of such models improves predictions is debated. This is studied here for the spread of varicella, a childhood disease, in a realistic population of children where infection occurs in the household, at school, or in the community at large. A methodology is first presented for simulating households with births and aging. Transmission probabilities were fitted for schools and community, which reproduced the overall cumulative incidence of varicella over the age range of 0-11 years old.Moreover, the individual-based model structure allowed us to reproduce several observed features of VZV epidemiology which were not included as hypotheses in the model: the age at varicella in first-born children was older than in other children, in accordance with observation; the same was true for children residing in rural areas. Model predicted incidence was comparable to observed incidence over time. These results show that models based on detailed census data on a small scale provide valid small scale prediction. By simulating several scenarios, we evaluate how varicella epidemiology is shaped by policies, such as age at first school enrolment, and school eviction. This supports the use of such models for investigating outcomes of public health measures.
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Affiliation(s)
- Romain Silhol
- Université Pierre et Marie Curie-Paris 6, Paris, France.
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13
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Assessment of varicella vaccine effectiveness in Germany: a time-series approach. Epidemiol Infect 2010; 139:1710-9. [PMID: 21156098 DOI: 10.1017/s0950268810002815] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
A multivariate time-series regression model was developed in order to describe the 2005-2008 age-specific time-course of varicella sentinel surveillance data following the introduction of a varicella childhood vaccination programme in Germany. This ecological approach allows the assessment of vaccine effectiveness under field conditions by relating vaccine coverage in cohorts of 24-month-old children to the mean number of cases per reporting unit in the sentinel network. For the 1-2 years age group, which is directly affected by the vaccination programme, a one-dose vaccine effectiveness of 83·2% (95% CI 80·2-85·7) was estimated which corresponds to previous approaches assessing varicella vaccine effectiveness in the field in the USA.
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14
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Stochastic amplification in an epidemic model with seasonal forcing. J Theor Biol 2010; 267:85-94. [DOI: 10.1016/j.jtbi.2010.08.014] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2010] [Revised: 08/03/2010] [Accepted: 08/11/2010] [Indexed: 11/19/2022]
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15
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Methodology of the sensitivity analysis used for modeling an infectious disease. Vaccine 2010; 28:8132-40. [DOI: 10.1016/j.vaccine.2010.09.099] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2010] [Revised: 09/22/2010] [Accepted: 09/27/2010] [Indexed: 12/21/2022]
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Goeyvaerts N, Hens N, Ogunjimi B, Aerts M, Shkedy Z, Damme PV, Beutels P. Estimating infectious disease parameters from data on social contacts and serological status. J R Stat Soc Ser C Appl Stat 2010. [DOI: 10.1111/j.1467-9876.2009.00693.x] [Citation(s) in RCA: 67] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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17
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Black AJ, McKane AJ. Stochasticity in staged models of epidemics: quantifying the dynamics of whooping cough. J R Soc Interface 2010; 7:1219-27. [PMID: 20164086 DOI: 10.1098/rsif.2009.0514] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Although many stochastic models can accurately capture the qualitative epidemic patterns of many childhood diseases, there is still considerable discussion concerning the basic mechanisms generating these patterns; much of this stems from the use of deterministic models to try to understand stochastic simulations. We argue that a systematic method of analysing models of the spread of childhood diseases is required in order to consistently separate out the effects of demographic stochasticity, external forcing and modelling choices. Such a technique is provided by formulating the models as master equations and using the van Kampen system-size expansion to provide analytical expressions for quantities of interest. We apply this method to the susceptible-exposed-infected-recovered (SEIR) model with distributed exposed and infectious periods and calculate the form that stochastic oscillations take on in terms of the model parameters. With the use of a suitable approximation, we apply the formalism to analyse a model of whooping cough which includes seasonal forcing. This allows us to more accurately interpret the results of simulations and to make a more quantitative assessment of the predictions of the model. We show that the observed dynamics are a result of a macroscopic limit cycle induced by the external forcing and resonant stochastic oscillations about this cycle.
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Affiliation(s)
- Andrew J Black
- Theoretical Physics Group, School of Physics and Astronomy, University of Manchester, Manchester M13 9PL, UK
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The incidence and clinical characteristics of herpes zoster among children and adolescents after implementation of varicella vaccination. Pediatr Infect Dis J 2009; 28:954-9. [PMID: 19536039 DOI: 10.1097/inf.0b013e3181a90b16] [Citation(s) in RCA: 137] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND The varicella-zoster virus (VZV) vaccine strain may reactivate to cause herpes zoster. Limited data suggest that the risk of herpes zoster in vaccinated children could be lower than in children with naturally acquired varicella. We examine incidence trends, risk and epidemiologic and clinical features of herpes zoster disease among children and adolescents by vaccination status. METHODS Population-based active surveillance was conducted among <20 years old residents in Antelope Valley, California, from 2000 through 2006. Structured telephone interviews collected demographic, varicella vaccination and disease histories, and clinical information. RESULTS From 2000 to 2006, the incidence of herpes zoster among children<10 years of age declined by 55%, from 42 cases reported in 2000 (74.8/100,000 persons; 95% confidence interval [95% CI]: 55.3-101.2) to 18 reported in 2006 (33.3/100,000; 95% CI: 20.9-52.8; P<0.001). During the same period, the incidence of herpes zoster among 10- to 19-year-olds increased by 63%, from 35 cases reported in 2000 (59.5/100,000 persons; 95% CI: 42.7-82.9) to 64 reported in 2006 (96.7/100,000; 95% CI: 75.7-123.6; P<0.02). Among children aged<10 years, those with a history of varicella vaccination had a 4 to 12 times lower risk for developing herpes zoster compared with children with history of varicella disease. CONCLUSIONS Varicella vaccine substantially decreases the risk of herpes zoster among vaccinated children and its widespread use will likely reduce overall herpes zoster burden in the United States. The increase in herpes zoster incidence among 10- to 19-year-olds could not be confidently explained and needs to be confirmed from other data sources.
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Abstract
It has been suggested that the incidence of herpes zoster may increase due to lack of natural boosting under large-scale vaccination with the varicella vaccine. To study the possibility and magnitude of such negative consequences of mass vaccination, we built a mathematical model of varicella and zoster epidemiology in the Finnish population. The model was based on serological data on varicella infection, case-notification data on zoster, and new knowledge about close contacts relevant to transmission of infection. According to the analysis, a childhood programme against varicella will increase the incidence of zoster by one to more than two thirds in the next 50 years. This will be due to increase in case numbers in the 35 years age groups. However, high vaccine coverage and a two-dose programme will be very effective in stopping varicella transmission in the population.
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Alain S, Paccalin M, Larnaudie S, Perreaux F, Launay O. Impact de la vaccination de routine de l’enfant contre la varicelle sur l’épidémiologie du zona. Med Mal Infect 2009; 39:698-706. [DOI: 10.1016/j.medmal.2009.04.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2008] [Revised: 02/04/2009] [Accepted: 04/29/2009] [Indexed: 10/20/2022]
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Multi-agent systems in epidemiology: a first step for computational biology in the study of vector-borne disease transmission. BMC Bioinformatics 2008; 9:435. [PMID: 18922166 PMCID: PMC2600827 DOI: 10.1186/1471-2105-9-435] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2008] [Accepted: 10/15/2008] [Indexed: 11/10/2022] Open
Abstract
Background Computational biology is often associated with genetic or genomic studies only. However, thanks to the increase of computational resources, computational models are appreciated as useful tools in many other scientific fields. Such modeling systems are particularly relevant for the study of complex systems, like the epidemiology of emerging infectious diseases. So far, mathematical models remain the main tool for the epidemiological and ecological analysis of infectious diseases, with SIR models could be seen as an implicit standard in epidemiology. Unfortunately, these models are based on differential equations and, therefore, can become very rapidly unmanageable due to the too many parameters which need to be taken into consideration. For instance, in the case of zoonotic and vector-borne diseases in wildlife many different potential host species could be involved in the life-cycle of disease transmission, and SIR models might not be the most suitable tool to truly capture the overall disease circulation within that environment. This limitation underlines the necessity to develop a standard spatial model that can cope with the transmission of disease in realistic ecosystems. Results Computational biology may prove to be flexible enough to take into account the natural complexity observed in both natural and man-made ecosystems. In this paper, we propose a new computational model to study the transmission of infectious diseases in a spatially explicit context. We developed a multi-agent system model for vector-borne disease transmission in a realistic spatial environment. Conclusion Here we describe in detail the general behavior of this model that we hope will become a standard reference for the study of vector-borne disease transmission in wildlife. To conclude, we show how this simple model could be easily adapted and modified to be used as a common framework for further research developments in this field.
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Modélisation de l’impact de la vaccination sur l’épidémiologie de la varicelle et du zona. Rev Epidemiol Sante Publique 2008; 56:323-31. [DOI: 10.1016/j.respe.2008.07.087] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2007] [Revised: 06/09/2008] [Accepted: 07/10/2008] [Indexed: 11/18/2022] Open
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Abstract
The effects of demographic stochasticity on the long-term behaviour of endemic infectious diseases have been considered for long as a necessary addition to an underlying deterministic theory. The latter would explain the regular behaviour of recurrent epidemics and the former the superimposed noise of observed incidence patterns. Recently, a stochastic theory based on a mechanism of resonance with internal noise has shifted the role of stochasticity closer to the centre stage, by showing that the major dynamic patterns found in the incidence data can be explained as resonant fluctuations, whose behaviour is largely independent of the amplitude of seasonal forcing, and by contrast very sensitive to the basic epidemiological parameters. Here we elaborate on that approach, by adding an ingredient which is missing in standard epidemic models, the 'mixing network' through which infection may propagate. We find that spatial correlations have a major effect on the enhancement of the amplitude and the coherence of the resonant stochastic fluctuations, providing the ordered patterns of recurrent epidemics, whose period may differ significantly from that of the small oscillations around the deterministic equilibrium. We also show that the inclusion of a more realistic, time-correlated recovery profile instead of exponentially distributed infectious periods may, even in the random-mixing limit, contribute to the same effect.
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Affiliation(s)
| | | | - A Nunes
- Author for correspondence ()
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Reynolds MA, Chaves SS, Harpaz R, Lopez AS, Seward JF. The impact of the varicella vaccination program on herpes zoster epidemiology in the United States: a review. J Infect Dis 2008; 197 Suppl 2:S224-7. [PMID: 18419401 DOI: 10.1086/522162] [Citation(s) in RCA: 85] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Speculation that a universal varicella vaccination program might lead to an increase in herpes zoster (HZ) incidence has been supported by modeling studies that assume that exposure to varicella boosts immunity and protects against reactivation of varicella-zoster virus (VZV) as HZ. Such studies predict an increase in HZ incidence until the adult population becomes predominantly composed of individuals with vaccine-induced immunity who do not harbor wild-type VZV. In the United States, a varicella vaccination program was implemented in 1995. Since then, studies monitoring HZ incidence have shown inconsistent findings: 2 studies have shown no increase in overall incidence, whereas 1 study has shown an increase. Studies from Canada and the United Kingdom have shown increasing rates of HZ incidence in the absence of a varicella vaccination program. Data suggest that heretofore unidentified risk factors for HZ also are changing over time. Further studies are needed to identify these factors, to isolate possible additional effects from a varicella vaccination program. Untangling the contribution of these different factors on HZ epidemiology will be challenging.
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Affiliation(s)
- Meredith A Reynolds
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
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Lavine JS, Poss M, Grenfell BT. Directly transmitted viral diseases: modeling the dynamics of transmission. Trends Microbiol 2008; 16:165-72. [PMID: 18356058 PMCID: PMC7127822 DOI: 10.1016/j.tim.2008.01.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2008] [Accepted: 01/30/2008] [Indexed: 11/01/2022]
Abstract
A key hurdle in understanding the spread and control of infectious diseases is to capture appropriately the dynamics of pathogen transmission. As people and goods travel increasingly rapidly around the world, so do pathogens; we must be prepared to understand their spread, in terms of the contact network between hosts, viral life history and within-host dynamics. This will require collaborative work that takes into account viral life history, strategy and evolution, and host genetics, demographics and immunodynamics. Mathematical models are a useful tool for integrating the data and analyses from diverse fields that contribute to our understanding of viral transmission dynamics in heterogeneous host populations.
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Affiliation(s)
- Jennie S Lavine
- 208 Mueller Laboratory, Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA 16803, USA.
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26
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Sotelo J, Ordoñez G, Pineda B. Varicella-zoster virus at relapses of multiple sclerosis. J Neurol 2007; 254:493-500. [PMID: 17401519 DOI: 10.1007/s00415-006-0402-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2006] [Revised: 09/04/2006] [Accepted: 09/07/2006] [Indexed: 10/23/2022]
Abstract
The possible participation of different herpes viruses was studied during exacerbations of multiple sclerosis (MS). We searched for the presence of DNA from the following herpes viruses: varicella zoster virus (VZV), herpes-simplex viruses 1 and 2; Epstein-Barr virus (EBV) and human herpes-virus-6 (HHV6) in mononuclear cells from patients with MS during relapse (n = 40), MS during remission (n = 131) and controls (n = 125). Additionally, immune cells containing viral antigens were quantified by flow cytometry, and VZV load was determined by real time PCR in 2 MS patients at various times during relapse and remission. DNA from VZV was found in 95% of MS patients during relapse and in 17% during remission; all controls were negative; by contrast, DNA from HHV6 was found in 24% of MS patients during relapse and in 2% during remission; DNA from herpes simplex viruses was not found in any subject; and DNA from EBV was found in a similar percentage of subjects from all groups. Sequential quantification of VZV-load showed a curve that increased during relapse and disappeared at remission. Also, VZV antigens were found inside a large number of immune cells from MS patients during relapse as compared with MS patients on remission and controls. In the typical forms of VZV infection, varicella and herpes-zoster, DNA from VZV is found in mononuclear cells exclusively during brief periods at the beginning of the active infection, but not during latency; thus, the conspicuous presence of VZV during relapses of MS may indicate a period of active infection and suggests the participation of VZV in the pathogenesis of MS.
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Affiliation(s)
- Julio Sotelo
- Neuroimmunology Unit, National Institute of Neurology and Neurosurgery of Mexico, Insurgentes Sur 3877, 14269 Mexico City, Mexico.
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27
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Temime L, Thomas G. Estimation of Balanced Simultaneous Confidence Sets for SIR Models. COMMUN STAT-SIMUL C 2007. [DOI: 10.1080/03610910600716621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
| | - Guy Thomas
- b Université Pierre et Marie Curie , Paris , France
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28
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Breuer J. Commentary on varicella vaccination of children in the United States: Assessment after the first decade 1995–2005. J Clin Virol 2005. [DOI: 10.1016/j.jcv.2005.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Abstract
We develop methods for the analysis of infectious disease data when age-specific contact rates vary over time. Our methods are valid when contact rates vary slowly on the time scale of the infection process, and are applicable to a variety of data types including serial seroprevalence surveys and case reports. The methods exploit approximate endemic equilibria, and require numerical solution of an associated integral equation in age and time. We also estimate summary statistics such as time-dependent analogs of the basic reproduction number and critical immunization threshold. We illustrate the methods with data on varicella (chickenpox) in the United Kingdom.
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Affiliation(s)
- H J Whitaker
- Department of Statistics, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK
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30
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Abstract
Chicken-pox is one more newer vaccine in our armamentarium against infectious diseases. Due to its extremely contagious nature, varicella is experienced by almost every child or young adult in the world. Each year from 1990 to 1994, prior to availability of varicella vaccine, about 4 million cases of varicella occurred in the United States. Of these cases approximately 10,000 required hospitalization and 100 died. Although varicella is not commonly perceived as an important public health problem, the socioeconomic consequences in industrialized countries of a disease that affects practically every child and causes the carrier absence from work should not be underestimated. The varicella vaccines available in the market are safe and effective. A recent cost-benefit analysis in USA showed that routine chicken-pox vaccination is likely to save five times the investment. Even when only direct costs were considered, benefits almost balanced the costs. At present similar studies from developing countries are not available. The public health impact of varicella and zoster may be increasing in regions with high endemic rates of HIV infection. Varicella vaccine may be used either at an individual level to protect susceptible adolescents and adults, or at a population level, to cover all children as part of a national immunization programme. Vaccination of adolescents and adults will protect at-risk individuals, but will not have a significant impact on the epidemiology of the disease on a population basis. On the other hand, extensive use as a routine vaccine in children will have a significant impact on the epidemiology of the disease. If sustained high coverage can be achieved, the disease may virtually disappear. If only partial coverage can be obtained, the epidemiology may shift, leading to an increase in the number of cases in older children and adults. Hence, routine childhood varicella immunization programmes should emphasize high, sustained coverage. At present, this vaccine will have a lower priority in the National Immunization Schedule that does not have MMR and typhoid, which have a greater socioeconomic impact. Hence, at the present time WHO does not recommend the inclusion of varicella vaccination into the routine immunization programmes of developing countries.
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Affiliation(s)
- Swati Y Bhave
- Indraprastha Apollo Hospital & Max Health Care, New Delhi, India.
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31
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Abstract
Varicella zoster virus (VZV) causes chickenpox (varicella) on primary exposure and can reactivate later in life to cause shingles (zoster). As primary infection is more serious in adults than children, and exposure to the virus might boost the immune response to both chickenpox and shingles, there are two main concerns regarding infant VZV vaccination: that it could lead to an increase in adult disease; and/or that it could lead to a temporary increase in the incidence of shingles. This paper reviews the evidence for such outcomes. The consensus view of mathematical modelling studies is that the overall varicella associated burden is likely to decrease in the long term, regardless of the level of vaccine coverage. On the other hand, recent evidence suggests that an increase in zoster incidence appears likely, and the more effective vaccination is at preventing varicella, the larger the increase in zoster incidence. Targeted vaccination of susceptible adolescents and/or the contacts of high-risk individuals can be effective at preventing disease in these individuals with minimal risk to the community. However, targeted strategies would not prevent most disease (including most severe disease), and will not lead to a long-term reduction in the incidence of zoster. Understanding the mechanisms for maintaining immunity against varicella and zoster is critical for predicting the long-term effects of vaccination. Meanwhile sensitive surveillance of both chickenpox and shingles is essential in countries that have implemented, or are about to implement, varicella vaccination.
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Affiliation(s)
- W J Edmunds
- Immunisation Division, Colindale, London NW9 5EQ, UK.
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Rothberg M, Bennish ML, Kao JS, Wong JB. Do the benefits of varicella vaccination outweigh the long-term risks? A decision-analytic model for policymakers and pediatricians. Clin Infect Dis 2002; 34:885-94. [PMID: 11880952 DOI: 10.1086/338956] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2001] [Revised: 10/12/2001] [Indexed: 11/03/2022] Open
Abstract
Although varicella vaccine is recommended for infants, many physicians and parents have withheld vaccination from infants because of concerns about the vaccine's long-term efficacy. We used a decision-analytic Markov model to examine the effects of decreasing vaccine efficacy on individuals and society. The model incorporated published data on age-specific incidence, morbidity, and mortality rates, as well as data on shifting disease burden from childhood to adulthood as vaccine compliance increases. The effects of 2 vaccination strategies---vaccinating infants at age 12 months and waiting to vaccinate until children are 10 years of age---were compared with the effects of no vaccination. If the efficacy of the vaccine were to decrease by 75%, then 50% compliance with vaccination at age 12 months would save 1800 life-years and 12,800 quality-adjusted life-years annually in the United States. The quality-adjusted life expectancy of individuals vaccinated at age 12 months would be 63 h longer than that of nonvaccinated individuals and would increase to 79 h as vaccination compliance increases and the burden of chickenpox shifts to adulthood. Varicella vaccination of infants at age 12 months appears to be beneficial, even if the efficacy of the vaccine declines substantially.
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Affiliation(s)
- Michael Rothberg
- Division of Clinical Decision Making, Informatics and Telemedicine, Department of Medicine, New England Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA
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Cohen C, Artois M, Pontier D. A discrete-event computer model of feline herpes virus within cat populations. Prev Vet Med 2000; 45:163-81. [PMID: 10821958 DOI: 10.1016/s0167-5877(00)00132-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The purpose of this work was to study the epidemiology of feline herpes virus (FHV), which causes a respiratory disease within natural populations of domestic cats. A stochastic model was constructed using discrete-events simulation. Two habitats (rural vs. urban) were simulated, featuring different demographic, spatial and social patterns. The evolution of immunity in individuals was reproduced, allowing for the random recrudescence of latent infections (influenced by environment and reproduction). Hypotheses concerning the circulation of FHV were examined regarding the role of host density and the possibility of reinfection of host. Uncertainty analyses were performed on the basis of replicated Monte Carlo sampling. The results were in good agreement with serologic data from a long-term study conducted on five populations in France. The model satisfactorily reproduced the variability of natural immunity, and the epidemic features observed. The simulations have shown that FHV can persist in small populations (because of its capacity of reactivation leading to epidemics). However, the impact on demography was not dramatic. The most important parameters in determining change in epidemiology of FHV were: transmission rate corresponding to 'friendly' contacts, and the recrudescence rate of FHV. However, an interaction between these two parameters did not allow estimation of their values.
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Affiliation(s)
- C Cohen
- Berne University and Monitoring Group, Federal Veterinary Office, Bern, Switzerland.
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Abstract
This work was an attempt at analysing the seasonal pattern of varicella epidemics in France by fitting a susceptibles-exposed-infectives-recovered (SEIR) model with a periodic contact rate function to weekly chickenpox incidence data collected over the period 1991 to 1996. The contact rate was assumed to be either a continuous, or a piecewise constant, periodic function. Both assumptions gave a reasonable fit to the data and yielded estimates of the incubation and infectious periods that were consistent with values derived on clinical or serological grounds. Seasonal fluctuation of the estimated contact rate function was likely to reflect the impact of school holidays on chickenpox diffusion among schoolchildren.
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Affiliation(s)
- S Deguen
- Epidémiologie et Sciences de l'Information, INSERM U444, Faculté de Médecine Saint-Antoine, 27 rue Chaligny, 75571 Paris cedex 12, France
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Anderson RM, Donnelly CA, Gupta S. Vaccine design, evaluation, and community-based use for antigenically variable infectious agents. Lancet 1997; 350:1466-70. [PMID: 9371182 DOI: 10.1016/s0140-6736(97)03255-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
A major challenge for vaccine design and development, and for trials of new vaccines, is to tackle antigenically variable infectious agents. Here we outline a few general conceptual issues and then discuss new frameworks that are being developed to help understand how vaccination might change the distribution, abundance, and type of strains in a population. Herd Immunity is a key concept in population-based immunisation programmes and has to be considered in vaccine design and use even though it may cause a conflict between the needs of the individual versus those of the community. This issue is of increasing importance since once common infections are becoming rare due to effective vaccination. Concomitantly, adverse effects arising from immunisation are becoming more apparent as infection-induced morbidity declines to very low levels. Efficacy is widely regarded as a key criterion in vaccine design but duration of protection is of equal importance. Whether it is possible to produce effective vaccines to antigenically diverse pathogens remains uncertain but progress towards this goal will be enhanced by a better understanding of the population genetics of the target infectious agent facilitated by molecular epidemiological studies to assess the genetic constitution of pathogen populations and changes therein over time.
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Affiliation(s)
- R M Anderson
- Wellcome Trust Centre for the Epidemiology of Infectious Disease, Department of Zoology, University of Oxford
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