A prediction model for neonatal mortality in low- and middle-income countries: an analysis of data from population surveillance sites in India, Nepal and Bangladesh-Reference-Cited by-同舟云学术

A prediction model for neonatal mortality in low- and middle-income countries: an analysis of data from population surveillance sites in India, Nepal and Bangladesh

Published:2018-10-15 Issue:1 Volume:48 Page:186-198
ISSN:0300-5771
Container-title:International Journal of Epidemiology
language:en
Short-container-title:

Author:

Houweling Tanja A J¹²,van Klaveren David¹³⁴,Das Sushmita⁵,Azad Kishwar⁶,Tripathy Prasanta⁷,Manandhar Dharma⁸,Neuman Melissa²,de Jonge Erik¹,Been Jasper V⁹,Steyerberg Ewout¹,Costello Anthony²

Affiliation:

1. Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands

2. Institute for Global Health, University College London, London, UK

3. Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands

4. Predictive Analytics and Comparative Effectiveness Center, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, USA

5. Society for Nutrition, Education and Health Action (SNEHA), Mumbai, India

6. Perinatal Care Project (PCP), Diabetic Association of Bangladesh (BADAS), Dhaka, Bangladesh

7. Ekjut, West Singhbhum, India

8. Mother and Infant Research Activities (MIRA), Kathmandu, Nepal

9. Erasmus MC University Medical Center Rotterdam—Sophia Children’s Hospital, Rotterdam, The Netherlands

Funder

Economic and Social Research Council and the Department for International Development

Wellcome Trust

Erasmus University Rotterdam Research Excellence Initiative

Netherlands Organization for Scientific Research

Netherlands Lung Foundation

Erasmus University Medical Center