A probabilistic method to estimate the burden of maternal morbidity in resource-poor settings: Preliminary development and evaluation

Emerging Themes in Epidemiology

Volumn 11, Issue 1, 2014, Pages

  Fottrell, Edward ^a,b   Högberg, Ulf ^c   Ronsmans, Carine ^d   Osrin, David ^a   Azad, Kishwar ^e   Nair, Nirmala ^f   Meda, Nicolas ^g   Ganaba, Rasmane ^g   Goufodji, Sourou ^h   Byass, Peter ^b   Filippi, Veronique ^d  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UMEÅ UNIVERSITY   (Sweden)

^c UPPSALA UNIVERSITY HOSPITAL   (Sweden)

^d LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^e Bangladesh Institute of Research and Rehabilitation in Diabetes Endocrine and Metabolic Disorders   (Bangladesh)

^f Ekjut ^*  (India)

^g CENTRE MURAZ   (Burkina Faso)

^h Centre de Recherche en Reproduction Humaine et en Demographie   (Benin)

Author keywords

Africa; Asia; Bayesian analysis; Childbirth; Developing countries; Maternal health; Morbidity; Pregnancy

Indexed keywords

ANEMIA; ARTICLE; BANGLADESH; BENIN; BURKINA FASO; CLINICAL CLASSIFICATION; DELIVERY; DYSTOCIA; EVALUATION STUDY; FEMALE; HUMAN; INDIA; MAJOR CLINICAL STUDY; MATERNAL MORBIDITY; POPULATION DISTRIBUTION; POSTPARTUM HEMORRHAGE; PREECLAMPSIA; PREGNANCY; PROBABILITY; PUERPERAL INFECTION; RESOURCE MANAGEMENT; SELF REPORT; TRAINING;

EID: 84898452446     PISSN: None     EISSN: 17427622     Source Type: Journal    
DOI: 10.1186/1742-7622-11-3     Document Type: Article

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