Assistant Professor


Curriculum vitae



Department of Obstetrics and Gynecology

Department of Health Research Methods, Evidence and Impact

McMaster University
1280 Main St. West,
HSC3V - 43B
Hamilton, Ontario ​L8S 4K1
Canada



Severe maternal morbidity surveillance, temporal trends and regional variation: A population‐based cohort study


Journal article


Eleni Tsamantioti, A. Sandström, Giulia M. Muraca, K. Joseph, Katarina Remaeus, N. Razaz
BJOG: an International Journal of Obstetrics and Gynaecology, 2023

Semantic Scholar DOI PubMed
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Cite

APA   Click to copy
Tsamantioti, E., Sandström, A., Muraca, G. M., Joseph, K., Remaeus, K., & Razaz, N. (2023). Severe maternal morbidity surveillance, temporal trends and regional variation: A population‐based cohort study. BJOG: an International Journal of Obstetrics and Gynaecology.


Chicago/Turabian   Click to copy
Tsamantioti, Eleni, A. Sandström, Giulia M. Muraca, K. Joseph, Katarina Remaeus, and N. Razaz. “Severe Maternal Morbidity Surveillance, Temporal Trends and Regional Variation: A Population‐Based Cohort Study.” BJOG: an International Journal of Obstetrics and Gynaecology (2023).


MLA   Click to copy
Tsamantioti, Eleni, et al. “Severe Maternal Morbidity Surveillance, Temporal Trends and Regional Variation: A Population‐Based Cohort Study.” BJOG: an International Journal of Obstetrics and Gynaecology, 2023.


BibTeX   Click to copy

@article{eleni2023a,
  title = {Severe maternal morbidity surveillance, temporal trends and regional variation: A population‐based cohort study},
  year = {2023},
  journal = {BJOG: an International Journal of Obstetrics and Gynaecology},
  author = {Tsamantioti, Eleni and Sandström, A. and Muraca, Giulia M. and Joseph, K. and Remaeus, Katarina and Razaz, N.}
}

Abstract

To quantify temporal trends and regional variation in severe maternal morbidity (SMM) in Sweden.


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