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 | Zendy

Tanja A. J. Houweling | Zendy; David van Klaveren | Zendy; Sushmita Das | Zendy; Kishwar Azad | Zendy; Prasanta Tripathy | Zendy; Dharma Manandhar | Zendy; Melissa Neuman | Zendy; Erik de Jonge | Zendy; Jasper V. Been | Zendy; Ewout W. Steyerberg | Zendy; Anthony Costello | Zendy

Open Access

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

Author(s) -

Tanja A. J. Houweling,

David van Klaveren,

Sushmita Das,

Kishwar Azad,

Prasanta Tripathy,

Dharma Manandhar,

Melissa Neuman,

Erik de Jonge,

Jasper V. Been,

Ewout W. Steyerberg,

Anthony Costello

Publication year - 2018

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyy194

Subject(s) - medicine , population , confidence interval , pregnancy , infant mortality , neonatal mortality , receiver operating characteristic , pediatrics , obstetrics , demography , environmental health , genetics , sociology , biology

In poor settings, where many births and neonatal deaths occur at home, prediction models of neonatal mortality in the general population can aid public-health policy-making. No such models are available in the international literature. We developed and validated a prediction model for neonatal mortality in the general population in India, Nepal and Bangladesh.

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