G
Gilda Sedgh
Researcher at Guttmacher Institute
Publications - 52
Citations - 7675
Gilda Sedgh is an academic researcher from Guttmacher Institute. The author has contributed to research in topics: Abortion & Population. The author has an hindex of 29, co-authored 49 publications receiving 6667 citations.
Papers
More filters
Journal ArticleDOI
Intended and unintended pregnancies worldwide in 2012 and recent trends.
TL;DR: The global pregnancy rate decreased only slightly from 2008 to 2012, after declining substantially between 1995 and 2008, and 213 million pregnancies occurred in 2012, up slightly from 211 million in 2008.
Journal ArticleDOI
Unintended Pregnancy: Worldwide Levels, Trends, and Outcomes
TL;DR: The incidence of pregnancy by intention status and outcome at worldwide, regional, and subregional levels for 2008 is estimated, and recent trends since 1995 are assessed.
Journal ArticleDOI
Adolescent pregnancy, birth, and abortion rates across countries: levels and recent trends.
TL;DR: Despite recent declines, teen pregnancy rates remain high in many countries and research on the planning status of these pregnancies and on factors that determine how teens resolve their pregnancies could further inform programs and policies.
Journal ArticleDOI
Induced abortion: incidence and trends worldwide from 1995 to 2008
TL;DR: The substantial decline in the abortion rate observed earlier has stalled, and the proportion of all abortions that are unsafe has increased, so measures to reduce the incidence of unintended pregnancy and unsafe abortion are crucial steps toward achieving the Millennium Development Goals.
Journal ArticleDOI
Abortion incidence between 1990 and 2014: global, regional, and subregional levels and trends.
Gilda Sedgh,Jonathan Bearak,Susheela Singh,Akinrinola Bankole,Anna Popinchalk,Bela Ganatra,Clémentine Rossier,Caitlin Gerdts,Özge Tunçalp,Brooke Ronald Johnson,Heidi Bart Johnston,Leontine Alkema +11 more
TL;DR: Subregional, regional, and global levels and trends in abortion incidence for 1990 to 2014, and abortion rates in subgroups of women, using a Bayesian hierarchical time series model are estimated.