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- By analyzing the epidemiological logically, and examining the autopsy findings of fetal, newborn and maternal deaths, Semmelweis developed three interrelated concepts: 1) Because of their identical clinical course and autopsy findings, childbed fever and neonatal sepsis must be one and the same, proving that puerperal sepsis was not peculiar to women; 2) none of the contemporary theories, such as climate changes, overcrowding, etc, explained how the fetus acquired sepsis similar to that of the...
www.nature.com › articles › pr19991736Ignac Semmelweis, the Epidemiologist: His Insights ... - Nature
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May 21, 2020 · It was thought to be caused by miasma, epidemicity, or the Will of Providence. Apart from bloodletting, there was no cure for it. Semmelweis cared for the childbed fever women during their illness, and when they died, he did autopsies on them.
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Hungarian obstetrician Ignac Semmelweis (1818–1865) was one...
- Ignaz Semmelweis: “The Savior of Mothers” On the 200th ...
Who was Ignaz Semmelweis? Ignaz Semmelweis was a Hungarian...
- A twenty-first century perspective on concepts of modern ...
Semmelweis addressed biases that have become known to modern...
- Figure - PMC - National Center for Biotechnology Information
Jan 12, 2015 · The year was 1846, and our would-be hero was a Hungarian doctor named Ignaz Semmelweis. Semmelweis was a man of his time, according to Justin Lessler, an assistant professor at Johns Hopkins ...
Infection control is essential to limit the spread of these diseases. Cross-infection of patients by the contaminated hands of healthcare workers is a major method of spreading infectious agents. Hand hygiene is noted to be the single most important factor for infection control.
- M Best, D Neuhauser
- 2004
Apr 1, 1999 · Ignac Semmelweis, the Epidemiologist: His Insights into Fetal and Neonatal Sepsis and the Eventual Discovery of the Etiology of Childbed Fever | Pediatric Research. The American Pediatric...
- Tonse Raju
- 1999
Semmelweis addressed biases that have become known to modern epidemiology, such as confounding, selection bias and bias from outcome misclassification. Our bias analysis shows that differential loss to follow-up is an unlikely explanation for his results.