Towards Realtime Spatiotemporal Prediction of District Level Meningitis Incidence in Sub-Saharan Africa

Michelle C. Stanton, and Lydiane Agier, Benjamin M. Taylor, Peter J. Diggle

Open source

DOI: 10.1111/rssa.12033
Published: 2013-11-04
Container: Journal of the Royal Statistical Society Series A: Statistics in Society
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/rssa.12033,
  title = {Towards Realtime Spatiotemporal Prediction of District Level Meningitis Incidence in Sub-Saharan Africa},
  author = {Michelle C. Stanton and and Lydiane Agier and Benjamin M. Taylor and Peter J. Diggle},
  year = {2013},
  journal = {Journal of the Royal Statistical Society Series A: Statistics in Society},
  doi = {10.1111/rssa.12033},
  url = {https://doi.org/10.1111/rssa.12033}
}

RIS

TY  - JOUR
TI  - Towards Realtime Spatiotemporal Prediction of District Level Meningitis Incidence in Sub-Saharan Africa
AU  - Michelle C. Stanton
AU  - and Lydiane Agier
AU  - Benjamin M. Taylor
AU  - Peter J. Diggle
PY  - 2013
JO  - Journal of the Royal Statistical Society Series A: Statistics in Society
DO  - 10.1111/rssa.12033
UR  - https://doi.org/10.1111/rssa.12033
ER  -

APA

Stanton, M. C., Agier, A. L., Taylor, B. M., & Diggle, P. J. (2013). Towards Realtime Spatiotemporal Prediction of District Level Meningitis Incidence in Sub-Saharan Africa. Journal of the Royal Statistical Society Series A: Statistics in Society. https://doi.org/10.1111/rssa.12033

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crossref · retrieved 2026-09-24T20:41:26.269Z