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• Journal article
  Howard SC, Omumbo J, Nevill C, Some ES, Donnelly CA, Snow RWet al., 2000,

  Evidence for a mass community effect of insecticide-treated bednets on the incidence of malaria on the Kenyan coast

  , TRANSACTIONS OF THE ROYAL SOCIETY OF TROPICAL MEDICINE AND HYGIENE, Vol: 94, Pages: 357-360, ISSN: 0035-9203
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  • Citations: 126
• Journal article
  Anderson RM, Ghani AC, 2000,

  Screening for vCJD in the British population.

  , The Times Higher Education Supplement
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• Journal article
  POULIN R, Boily MC, Masse B, 2000,

  Dynamical systems to define centrality in social networks

  , Social Networks, Vol: 22, Pages: 187-220

  In this paper, new measures of centrality that summarize the contact structure of social networks are proposed. The new measures use a cumulative nomination scheme based on the preliminary assumption that more central individuals will be nominated more often. Some of these measures are defined to characterize networks of different sizes and, by extension, networks made of many components. These new measures are applied to a network of 40 homosexuals with AIDS [Auerbach, D., Darrow, W., Jaffe, H., Curran, J., 1984. Cluster of cases of the acquired immune deficiency syndrome: patients linked by sexual contact. Am. J. Med. 76 (1984) 487–492; Klovdahl, A.S., 1985. Social networks and the spread of infectious diseases: the AIDS example. Soc. Sci. Med. 21 (1985) 1203–1216.], an illustrative multi-component network and a simulated network. They are compared to classical measures based on geodesics (closeness, eccentricity), to information-based centrality measures introduced by Stephenson and Zelen [Stephenson, K., Zelen, M., 1989. Rethinking centrality: methods and examples. Soc. Networks 11 (1989) 1–37.] and Altmann [Altmann, M., 1993. Reinterpreting network measures for models of disease transmission. Soc. Networks 15 (1993) 1–17.], and to the centrality measure of Bonacich [Bonacich, P., 1972. Factoring and weighting approaches to status scores and clique identification. J. Math. Sociol. 2 (1972) 113–120.]. The most basic of our measures is shown to be related to the Bonacich index of centrality for connected networks. The scaling law of the different centrality measures is examined by measuring simulated networks of various sizes. Measures based on the distribution of the components' size obey a simple proportional scaling law while those based on geodesics do not. Our new measures prove interesting because they consider all the possible paths, do not require intensive computer calculations, and can be used to compare networks of differen

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• Journal article
  Hagenaars TJ, Ferguson NM, Donnelly CA, Ghani AC, Anderson RMet al., 2000,

  Feed-borne transmission and case clustering of BSE

  , Proc Biol Sci, Vol: 267, Pages: 205-215, ISSN: 0962-8452

  An unresolved issue in the epidemiology of bovine spongiform encephalopathy (BSE) in the UK is what precisely determines the degree to which cases of disease in cattle are clustered within herds throughout the course of the epidemic. This paper presents an analysis of feed-borne transmission at the herd level and tests various models of case-clustering mechanisms, associated with heterogeneity in exposure to infectious feed, against observed epidemic pattern. We use an age-structured metapopulation framework in which the recycling of animal tissue between herds via feed producers is explicitly described. We explore two alternative assumptions for the scaling with herd size of the within-herd risk of exposure of an animal to infectious material. We find that whereas exposure heterogeneity caused by variation in feed and offal processing methods and by variation in per-animal feed uptake can explain the pattern of case clustering seen in the BSE epidemic, exposure heterogeneity due to the aggregation of infectivity within feed cannot.

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• Journal article
  Gregson S, Garnett GP, 2000,

  Contrasting gender differentials in HIV-1 prevalence and associated mortality increase in eastern and southern Africa: artefact of data or natural course of epidemics'

  , AIDS, Vol: 14, Pages: S85-S99, ISSN: 0269-9370
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  • Citations: 46
• Journal article
  Howard SC, Donnelly CA, 2000,

  Estimation of a time-varying force of infection and basic reproduction number with application to an outbreak of classical swine fever.

  , J Epidemiol Biostat, Vol: 5, Pages: 161-168, ISSN: 1359-5229

  BACKGROUND: A method was developed for stochastically reconstructing the pattern of infection from observed epidemic data. This allowed for estimation of a time-dependent force of infection, or transmission rate, during an epidemic. METHODS: A discrete-time mechanistic model was used to describe the spread of infection and a stochastic procedure, which utilised the latent and infectious period distributions, was used to reconstruct the dates of infection, becoming infectious and removal from the given data. The four equations describing the model were then solved to obtain least squares estimates of the transmission rate and the basic reproduction number (R0) throughout the epidemic. This process was repeated in order to assess the variability in these key epidemiological parameters. The stochastic epidemic reconstruction procedure was developed to account for changes in the distribution of the survival period over the course of the epidemic and adapted for application to epidemic data where not all infected individuals have yet been observed as cases. RESULTS: The method was applied to a set of epidemic data from an outbreak of classical swine fever in Pakistan. Constant and time-varying estimates of the transmission rate were derived and compared. There was some evidence to suggest that the force of infection varied over time. DISCUSSION: The method described can be applied to data from epidemics where observations are incomplete. The confidence limits obtained for the estimated force of infection provide a means of assessing the evidence for time variation in this parameter.

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• Journal article
  Schwartlander B, Garnett G, Walker N, Anderson RMet al., 2000,

  AIDS in a new millennium.

  , Science, Vol: 289, Pages: 73-77
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• Journal article
  Brooker S, Donnelly CA, Guyatt HL, 2000,

  Estimating the number of helminthic infections in the Republic of Cameroon from data on infection prevalence in schoolchildren

  , BULLETIN OF THE WORLD HEALTH ORGANIZATION, Vol: 78, Pages: 1456-1465, ISSN: 0042-9686
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  • Citations: 33
• Journal article
  Ghani AC, Donnelly CA, Ferguson NM, Anderson RMet al., 2000,

  Assessment of the prevalence of vCJD through testing tonsils and appendices for abnormal prion protein

  , Proc Biol Sci, Vol: 267, Pages: 23-29, ISSN: 0962-8452

  The objective of this study was to determine the age group or groups which will provide the most information on the potential size of the vCJD epidemic in Great Britain via the sampling of tonsil and appendix material to detect the presence of abnormal prion protein (PrP(Sc)). A subsidiary aim was to determine the degree to which such an anonymous age-stratified testing programme will reduce current uncertainties in the size of the epidemic in future years. A cohort- and time-stratified model was used to generate epidemic scenarios consistent with the observed vCJD case incidence. These scenarios, together with data on the age distribution of tonsillectomies and appendectomies, were used to evaluate the optimal age group and calendar time for undertaking testing and to calculate the range of epidemic sizes consistent with different outcomes. The analyses suggested that the optimal five-year age group to test is 25-29 years, although a random sample of appendix tissue from all age groups is nearly as informative. A random sample of tonsil tissue from all age groups is less informative, but the information content is improved if sampling is restricted to tissues removed from those over ten years of age. Based on the assumption that the test is able to detect infection in the last 75% of the incubation period, zero detected infections in an initial random sample of 1000 tissues would suggest that the epidemic will be less than 870,000 cases. If infections are detected, then the model prediction suggests that both relatively small epidemics (800+ cases if one is detected or 8300+ if two are detected) and larger epidemics (21,000+ cases if three or more are detected) are possible. It was concluded that testing will be most informative if undertaken using appendix tissues or tonsil tissues removed from those over ten years of age. Large epidemics can only be excluded if a small number of infections are detected and the test is able to detect infection early in the incubat

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• Journal article
  Ghani AC, Ferguson NM, Donnelly CA, Anderson RMet al., 2000,

  Predicted vCJD mortality in Great Britain

  , Nature, Vol: 406, Pages: 583-584, ISSN: 0028-0836
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