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Perspectives

Could Myocarditis, Insulin-Dependent Diabetes Mellitus, and Guillain-Barré Syndrome Be Caused by One or More Infectious Agents Carried by Rodents?

Bo Niklasson,*,† Birger Hörnfeldt,‡ Berit Lundman§,¶
*Swedish Institute for Infectious Disease Control, Stockholm, Sweden;†National Defense Research Establishment, Umeå, Sweden; ‡Department of Animal Ecology, Umeå University, Umeå, Sweden; §Department of Advanced Nursing, University of Umeå, Umeå, Sweden; ¶Research and Development Unit, Sundsvalls Hospital, Sundsvall, Sweden


nikla1t.gif (2622 bytes)
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Figure 1. Bank vole abundance in Grimsö, 1973–1994. Untransformed data.

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Figure 2. Incidence of death from myocarditis, 1970–1986. Untransformed data.

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Figure 3. Myocarditis deaths, 1974–1986 relative to bank vole abundance 1 year previously (vole data from 1973-1985). Untransformed data.

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Figure 4. Cross-correlation function of incidence of death from myocarditis with bank vole abundance, 1973–1986. Time series are log transformed; n = 14 computable 0-order correlations. Lines represent + 2 SE. The standard error is based on the assumption that the series are not cross-correlated and one of the series is white noise.

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Figure 5. Myocarditis deaths, 1974–1986, relative to bank vole abundance 1 year previously (vole data from 1973-1985). Log transformed data. r = 0.635, n = 13.

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Figure 6. Time series of Guillain-Barré syndrome incidence, 1973–1982, relative to bank vole abundance in the same years. Untransformed data.

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Figure 7. Cross-correlation function of Guillain-Barré syndrome incidence with bank vole abundance, 1973–1982. Time series are log transformed; n = 10 computable 0-order correlations. Lines represent + 2 SE. The stan-dard error is based on the assumption that the series are not cross-correlated and one of the series is white noise.

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Figure 8. Guillain-Barré syndrome incidence, 1973–1982, relative to bank vole abundance in the same years. Log transformed data. r = 0.757, n = 10.

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Figure 9. Time series of insulin-dependent diabetes mellitus incidence in 1975-1991 relative to bank vole abundance 2 years previously (vole data from 1973-1989). Untransformed data.

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Figure 10. Cross-correlation function of insulin-dependent diabetes mellitus incidence with bank vole abundance, 1973–1991. Time series are differenced (1); n = 18 computable 0-order correlations. Lines represent + 2 SE. The standard error is based on the assumption that the series are not cross-correlated and one of the series is white noise.

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Figure 11. Change of insulin-dependent diabetes mellitus incidence, 1975–1991, relative to change of bank vole abundance 2 years previously, after transformation of time series by differencing (1) (vole data from 1973-1989). r = 0.595, n = 16.


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