Display options
Cite
Swart A, Bekker DL, Maas M, et al. Modelling human Puumala hantavirus infection in relation to bank vole abundance and masting intensity in the Netherlands. Infect Ecol Epidemiol. 2017;7(1):1287986doi: 10.1080/20008686.2017.1287986.
Swart, A., Bekker, D. L., Maas, M., de Vries, A., Pijnacker, R., Reusken, C. B. E. M., & van der Giessen, J. W. B. (2017). Modelling human Puumala hantavirus infection in relation to bank vole abundance and masting intensity in the Netherlands. Infection ecology & epidemiology, 7(1), 1287986. https://doi.org/10.1080/20008686.2017.1287986
Swart, Arno, et al. "Modelling human Puumala hantavirus infection in relation to bank vole abundance and masting intensity in the Netherlands." Infection ecology & epidemiology vol. 7,1 (2017): 1287986. doi: https://doi.org/10.1080/20008686.2017.1287986
Swart A, Bekker DL, Maas M, de Vries A, Pijnacker R, Reusken CBEM, van der Giessen JWB. Modelling human Puumala hantavirus infection in relation to bank vole abundance and masting intensity in the Netherlands. Infect Ecol Epidemiol. 2017 Mar 24;7(1):1287986. doi: 10.1080/20008686.2017.1287986. eCollection 2017. PMID: 28567209; PMCID: PMC5443058.
Copy Download .nbib Format: NLM
Share it on

Infect Ecol Epidemiol. 2017 Mar 24;7(1):1287986. doi: 10.1080/20008686.2017.1287986. eCollection 2017.

Modelling human Puumala hantavirus infection in relation to bank vole abundance and masting intensity in the Netherlands.

Infection ecology & epidemiology

Arno Swart, Dick L Bekker, Miriam Maas, Ankje de Vries, Roan Pijnacker, Chantal B E M Reusken, Joke W B van der Giessen

Affiliations

  1. Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  2. Dutch Mammal Society, Nijmegen, the Netherlands.
  3. Detail 2.0 - Faunistical Research, Groningen, the Netherlands.
  4. Department of Viroscience, Erasmus University Medical Centre, Rotterdam, the Netherlands.

PMID: 28567209 PMCID: PMC5443058 DOI: 10.1080/20008686.2017.1287986

Abstract

This paper deals with modelling the relationship between human Puumala hantavirus (PUUV) infection, the abundance and prevalence of infection of the host (the bank vole), mast, and temperature. These data were used to build and parametrise generalised regression models, and parametrise them using datasets on these factors pertaining to the Netherlands. The performance of the models was assessed by considering their predictive power. Models including mast and monthly temperature performed well, and showed that mast intensity influences vole abundance and hence human exposure for the following year. Thus, the model can aid in forecasting of human illness cases, since (1) mast intensity influences the vole abundance and hence human exposure for the following year and (2) monitoring of mast is much more feasible than determining bank vole abundance.

Keywords: Puumala; climate; environment; human cases; prediction

References

  1. Emerg Infect Dis. 2014 Dec;20(12):2107-10 - PubMed
  2. Epidemics. 2009 Jun;1(2):101-7 - PubMed
  3. Proc Biol Sci. 2010 Dec 22;277(1701):3783-91 - PubMed
  4. Virus Res. 2001 Sep;77(1):71-80 - PubMed
  5. Front Public Health. 2015 Mar 31;3:54 - PubMed
  6. Zoonoses Public Health. 2013 Nov;60(7):461-77 - PubMed
  7. J Gen Virol. 2006 Aug;87(Pt 8):2127-34 - PubMed
  8. Epidemiol Infect. 2009 Feb;137(2):250-6 - PubMed
  9. Curr Opin Virol. 2013 Feb;3(1):92-9 - PubMed
  10. Front Physiol. 2012 Jul 10;3:237 - PubMed
  11. Nephrol Dial Transplant. 2010 Jun;25(6):1740-6 - PubMed
  12. Vector Borne Zoonotic Dis. 2005 Winter;5(4):305-14 - PubMed
  13. Proc Biol Sci. 2005 Jan 22;272(1559):193-202 - PubMed
  14. Int J Health Geogr. 2009 Jan 16;8:1 - PubMed
  15. PLoS One. 2015 Jul 27;10(7):e0134124 - PubMed
  16. J Gen Virol. 2016 Jul;97(7):1500-10 - PubMed

Publication Types