scispace - formally typeset
D

Dianne Egli-Gany

Researcher at University of Bern

Publications -  21
Citations -  1415

Dianne Egli-Gany is an academic researcher from University of Bern. The author has contributed to research in topics: Meta-analysis & Low birth weight. The author has an hindex of 12, co-authored 19 publications receiving 902 citations.

Papers
More filters
Journal ArticleDOI

Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: A living systematic review and meta-analysis.

TL;DR: It is suggested that most people who become infected with SARS-CoV-2 will not remain asymptomatic throughout the course of the infection, and combination prevention measures will continue to be needed.
Journal ArticleDOI

Prevalence of Mycoplasma genitalium in different population groups: systematic review andmeta-analysis.

TL;DR: In this paper, the prevalence of M. genitalium in the general population, pregnant women, men who have sex with men (MSM), commercial sex workers (CSWs), and clinic-based samples was estimated.
Posted ContentDOI

The role of asymptomatic SARS-CoV-2 infections: rapid living systematic review and meta-analysis

TL;DR: An intermediate contribution of pre-symptomatic and asymptomatic infections to overall SARS-CoV-2 transmission means that combination prevention, with enhanced hand and respiratory hygiene, testing tracing and isolation strategies and social distancing, will continue to be needed.
Journal ArticleDOI

Two-dose schedules for human papillomavirus vaccine: Systematic review and meta-analysis.

TL;DR: A two-dose HPV vaccine schedule provides satisfactory immunological outcomes in adolescent girls, but uptake globally is limited, particularly in countries with the highest burden of cervical cancer.
Journal ArticleDOI

Adverse pregnancy and neonatal outcomes associated with Neisseria gonorrhoeae: systematic review and meta-analysis.

TL;DR: In this systematic review of observational studies, the strength of associations between NG and adverse pregnancy outcomes were weaker than expected and, where data was available, attenuated after adjusting for confounding.