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Measles hotspots and epidemiological connectivity

  • N. BHARTI (a1), A. DJIBO (a2), M. J. FERRARI (a1), R. F. GRAIS (a3), A. J. TATEM (a4), C. A. McCABE (a5), O. N. BJORNSTAD (a1) (a6) (a7) and B. T. GRENFELL (a1) (a7)...
Abstract
SUMMARY

Though largely controlled in developed countries, measles remains a major global public health issue. Regional and local transmission patterns are rooted in human mixing behaviour across spatial scales. Identifying spatial interactions that contribute to recurring epidemics helps define and predict outbreak patterns. Using spatially explicit reported cases from measles outbreaks in Niger, we explored how regional variations in movement and contact patterns relate to patterns of measles incidence. Because we expected to see lower rates of re-introductions in small, compared to large, populations, we measured the population-size corrected proportion of weeks with zero cases across districts to understand relative rates of measles re-introductions. We found that critical elements of spatial disease dynamics in Niger are agricultural seasonality, transnational contact clusters, and roads networks that facilitate host movement and connectivity. These results highlight the need to understand local patterns of seasonality, demographic characteristics, and spatial heterogeneities to inform vaccination policy.

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Corresponding author
*Author for correspondence: Dr N. Bharti, Penn State University, 208Mueller Laboratory, University Park, PA16802, USA. (Email: nita@psu.edu)
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3. P Strebel , The unfinished measles immunization agenda. Journal of Infectious Diseases 2003; 187: S1S7.

4. R Nandy , Case-fatality rate during a measles outbreak in Eastern Niger in 2003. Clinical Infectious Diseases 2006; 42: 7.

5. RF Grais , Unacceptably high mortality related to measles epidemics in Niger, Nigeria, and Chad. PLOS Medicine 2007; 4: 122129.

6. PEM Fine , JA Clarkson . Measles in England and Wales.1. An analysis of factors underlying seasonal patterns. International Journal of Epidemiology 1982; 11: 5–14.

7. PEM Fine , JA Clarkson . Measles in England and Wales. 3. Assessing Published predictions of the impact of vaccination on incidence. International Journal of Epidemiology 1983; 12: 332339.

8. B Bolker , B Grenfell . Space, persistence and dynamics of measles epidemics. Philosophical Transactions of the Royal Society of London Series B: Biological Sciences 1995; 348: 309320.

9. DJD Earn , A simple model for complex dynamical transitions in epidemics. Science 2000; 287: 667670.

11. ON Bjornstad , BF Finkenstadt , BT Grenfell . Dynamics of measles epidemics: Estimating scaling of transmission rates using a time series SIR model. Ecological Monographs 2002; 72: 169184.

12. D Schenzle . An age-structured model of pre- and post-vaccination measles transmission. IMA Journal of Mathematics Applied in Medicine and Biology 1984; 1: 169191.

13. MS Bartlett . Measles periodicity and community size. Journal of the Royal Statistical Society Series A: General 1957; 120: 4870.

16. RH Faulkingham , PF Thorbahn . Population dynamics and drought: a village in Niger. Population Studies 1975; 29: 463477.

19. BT Grenfell , ON Bjornstad , BF Finkenstadt . Dynamics of measles epidemics: scaling noise, determinism, and predictability with the TSIR model. Ecological Monographs 2002; 72: 185202.

24. MJ Keeling , BT Grenfell . Understanding the persistence of measles: reconciling theory, simulation and observation. Proceedings of the Royal Society of London Series B: Biological Sciences 2002; 269: 335343.

26. ON Bjornstad , BT Grenfell . Hazards, spatial transmission and timing of outbreaks in epidemic metapopulations. Environmental and Ecological Statistics, 2008; 15: 265277.

28. KR Yameogo , Migration as a risk factor for measles after a mass vaccination campaign, Burkina Faso, 2002. International Journal of Epidemiology 2005; 34: 556564.

29. MCC Camargo , Predictors related to the occurence of a measles epidemic in the city of Sao Paulo in 1997. Revista Panamericana de Salud Pública 2000; 7: 359365.

30. PAP Moran . Notes on continuous stochastic phenomena. Biometrika 1950; 37: 1723.

31. LJ Wolfson , Has the 2005 measles mortality reduction goal been achieved? A natural history modelling study. Lancet 2007; 369: 191200.

34. D Balk , Determining global population distribution: methods, applications and data. Advances in Parasitology 2006; 62: 119156.

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Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
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