Elsevier

Vaccine

Volume 20, Issues 27–28, 10 September 2002, Pages 3254-3262
Vaccine

Community interventions and the epidemic prevention potential

https://doi.org/10.1016/S0264-410X(02)00316-XGet rights and content

Abstract

Evaluation of community-level effects of intervention programs in infectious diseases is receiving increased attention. In this paper, we consider evaluation of the community-level effectiveness measures on the example of vaccination of children against influenza. We introduce the concept of the epidemic prevention potential (EPP) as a measure of the ability of an intervention to either prevent transmission or at least to keep it below a pre-defined limit. As a concept to describe the general ability of an intervention to limit outbreaks to a certain defined size, the term EPP fills a void. We constructed a stochastic simulation model of influenza transmission and vaccination in a structured community to illustrate the effectiveness measures of interest and the epidemic prevention potential. The concepts are general and could be applied to other interventions, such as antivirals and quarantine.

Introduction

Increasing attention is being given to evaluating community-level effects of vaccination strategies [1], [2], [3], [4], [5] and other interventions [6], [7], [8], [9] in infectious diseases. In light of the current worries about bioterrorism, there is also increased interest in planning interventions in case an infectious agent, such as smallpox, is introduced into a population. Methods to evaluate the effectiveness of such interventions will be required.

Much has been written on group randomized studies where whole social units are assigned to treatment groups [9], [10], [11], [12], [13], [14]. Considerable theoretical research has focused on establishing threshold conditions for transmission in epidemic models [15], [16], [17], [18], [19]. However, little has been written about evaluating interventions when transmission may be a threshold phenomenon.

In this paper, we introduce the concept of the epidemic prevention potential (EPP) as one aspect of overall effectiveness when an intervention prevents an outbreak or limits it to less than a certain defined size. We illustrate estimation of effectiveness measures with simulations of vaccination of children against influenza to reduce attack rates in communities [20], [21], [22], [23], [24]. We differentiate effectiveness measures that take all communities into account whether or not an epidemic has occurred from effectiveness measures that condition on an epidemic reaching a pre-defined size threshold. We constructed a stochastic simulation model of influenza transmission and vaccination in a structured community to illustrate evaluation of the indirect, total, and overall effects, and the EPP. Although the focus here is on vaccination, the concepts are general and could be applied to other interventions, such as antivirals and quarantine.

Section snippets

Scientific questions of interest

Consider a seasonally epidemic infectious agent, such as influenza or cholera. The outcome of interest may be the illness attack rate in the community as a whole or in a stratum within the community, such as in children 18 years old or under. Suppose that several communities receive the intervention of interest and several communities do not receive the intervention. The populations receiving the interventions will be referred to as type A communities, and the control communities as type B

Epidemic prevention potential

A few examples illustrate the EPP measure. Suppose that seasonal transmission occurs reliably in each unvaccinated community type B, but it occurs in only about 20% of the intervention communities A. Then Pr(e)B=1, Pr(e)A=0.20, and EPP=1−0.20/1=0.80. About 80% of epidemics will be prevented by the intervention. Suppose that seasonal outbreaks occur in about 80% of unvaccinated communities, Pr(e)B=0.80 and 20% of the vaccinated communities, Pr(e)A=0.20. Then the EPP=1−0.20/0.80=0.75. The EPP of

Design and analysis issues

In community studies, the unit of inference is the population. Thus, the sample size and power of a study are more closely related to the number of communities in the study than the number of people in each community. The eligible communities need to be transmission-dynamically separate [1], [2]. As in community studies of noninfectious diseases, the sample size required to estimate effectiveness has to do with the size of the effect expected and the intercommunity variability. At low

Simulation of intervention

We simulated studies of community-level effects of vaccinating children using a stochastic simulator of influenza transmission in a structured population. The effectiveness measures of interest were those described in Table 1 as well as the EPP. The intervention of interest was vaccination of children aged 1–18 years old at different levels of coverage. Each simulated study included four intervention and four baseline communities. For each level of coverage and vaccine efficacy, 100 studies

Discussion

We have introduced the concept of the EPP as an effectiveness measure of interest in community interventions in infectious diseases. As a concept to describe the general ability of an intervention to limit or to contain outbreaks to a certain defined threshold size, the term epidemic prevention potential fills a void. In light of the events since 11 September 2001, and worries over bioterrorism, the concept of the EPP has become particularly relevant.

We have delineated three possible goals for

Acknowledgements

This research was partially supported by NIH grant R01-AI32042.

References (39)

  • L.H. Moulton et al.

    Design of a group-randomised Streptococcus pneumoniae vaccine trial

    Control Clin Trials

    (2001)
  • N. Klar et al.

    Cluster randomization trials in tropical medicine: a case study

    Trans R Soc Trop Med Hyg

    (1995)
  • I.M. Longini et al.

    An optimization model for influenza A epidemics

    Math Biosci

    (1978)
  • C.J. Struchiner et al.

    The behavior of common measures of association used to assess a vaccination program under complex disease transmission patterns—a computer simulation study of malaria vaccines

    Int J Epidemiol

    (1990)
  • M.E. Halloran et al.

    Study designs for dependent happenings

    Epidemiology

    (1991)
  • M.E. Halloran et al.

    Study designs for different efficacy and effectiveness aspects of vaccination

    Am J Epidemiol

    (1997)
  • J. Clemens et al.

    Evaluating new vaccines for developing countries: efficacy or effectiveness?

    J Am Med Assoc

    (1996)
  • Grosskurth H, Mosha F, Todd J, et al. Impact of improved treatment of sexually transmitted disease on HIV infection in...
  • Hayes R, Mosha F, Nicoll A, Grosskurth H, Newell J, Todd J, et al. A community trial of the impact of improved sexually...
  • Wawer MJ, Sewankambo NK, Serwadda, D, et al. Control of sexually transmitted disease for AIDS prevention in Uganda: a...
  • R.J. Hayes et al.

    Design and analysis issues in cluster-randomized trials of interventions against infectious diseases

    Stat Methods in Med Res

    (2000)
  • Koepsell TD, Wagner EH, Cheadle AC, Patrick DL, Martin DC, Diehr PH, et al. Selected methodological issues in...
  • A. Donner

    Some aspects of the design and analysis of cluster randomization trials

    Appl. Stat.

    (1998)
  • R. Prentice et al.

    Aggregate data studies of disease risk factors

    Biometrika

    (1995)
  • Murray DM. Design and Analysis of Group-Randomized Trials. New York: Oxford University Press,...
  • W.O. Kermack et al.

    A contribution to the mathematical theory of epidemics

    Proc R Soc London Ser A

    (1927)
  • P. Whittle

    The outcome of a stochastic epidemic—a note on Bailey’s paper

    Biometrika

    (1955)
  • Bailey NTJ. The mathematical theory of epidemics. London: Griffin,...
  • Becker NG. Analysis of infectious disease data. London: Chapman & Hall,...
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