Erratum: Variation in Maternal Responsiveness in Free-Ranging Vervet Monkeys: A Response to Infant Mortality Risk?

1988 ◽  
Vol 132 (5) ◽  
pp. 756-756 ◽  
Keyword(s):  
Infant Mortality ◽  
Mortality Risk ◽  
Maternal Responsiveness ◽  
Vervet Monkeys ◽  
Free Ranging

Pregnancy outcome in free-ranging vervet monkeys (Cercopithecus aethiops)

1987 ◽  
Vol 12 (2) ◽  
pp. 197-203 ◽  
Author(s):  
T. R. Turner ◽  
P. L. Whitten ◽  
C. J. Jolly ◽  
J. G. Else
Keyword(s):  
Pregnancy Outcome ◽  
Cercopithecus Aethiops ◽  
Vervet Monkeys ◽  
Free Ranging

scholarly journals Fetal and maternal factors associated with infant mortality in vervet monkeys

2011 ◽  
Vol 40 (1) ◽  
pp. 27-36 ◽  
Author(s):  
K. Kavanagh ◽  
B.L. Dozier ◽  
T.J. Chavanne ◽  
L.A. Fairbanks ◽  
M.J. Jorgensen ◽  
...  
Keyword(s):  
Infant Mortality ◽  
Vervet Monkeys ◽  
Maternal Factors ◽  
Factors Associated

scholarly journals Development of an infant mortality risk score in Uruguay

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Alegretti ◽  
I Leon ◽  
A Aleman ◽  
F Cavallieri ◽  
W Callero
Keyword(s):  
High Risk ◽  
Infant Mortality ◽  
Live Birth ◽  
Risk Score ◽  
Mortality Risk ◽  
Home Visit ◽  
Birth Certificate ◽  
Area Under The Curve ◽  
Binary Logistic Regression Model ◽  
Roc Curve Analysis

Abstract Background The Ministry of Public Health of Uruguay incorporated a comprehensive home visit before 7 days of discharge to monitor children at risk of infant mortality. In this context, a precise risk stratification of newborns is needed to optimize the implementation of the home visit. Objective Implement a validated infant mortality risk score for Uruguay using the national electronic live birth certificate. Methods Electronic records of newborns from 2014 to 2017 were used to develop the score. The variables of the electronic live birth certificate were considered for the model and data of Infant mortality was obtained from the national mortality registry. A multivariate binary logistic regression model was estimated with a random sample of 80% of the cohort, the remaining 20% was the validation set. ROC curve analysis was performed. R software was used. Results The 2014-2017 birth cohort contains 187,388 records. 1307 children under one year died (IMR 6.97 per 1,000 births). The variables included in the final model were birth weight, APGAR score at 5 minutes, number of prenatal visits, maternal educational level and father living at home. The area under the curve (AUC) was 89%, CI 95% [87% - 91%]. Two cut-off points were defined: 0.4% and 2%. Less than 0.4% was considered low risk (IMR 1.4 per 1,000 births), between 0.4 and 2% was considered intermediate risk (IMR 7.1 per 1,000 births) and more than 2% was considered high risk (IMR 99.2 per 1,000 births). Conclusions The score identifies high-risk newborns at the time of entering the data in the electronic live birth certificate. This information could be used to plan and implement the home visit and other actions, according to the level of risk identified. Key messages In Uruguay, high-risk newborns can be identified using data collected routinely. The procedure could be applied in other countries with electronic birth certificate.

Group extinction and fusion in free-ranging vervet monkeys

1986 ◽  
Vol 11 (1) ◽  
pp. 63-77 ◽  
Author(s):  
Marc D. Hauser ◽  
Dorothy L. Cheney ◽  
Robert M. Seyfarth
Keyword(s):  
Vervet Monkeys ◽  
Free Ranging ◽  
Group Extinction

Safe sleep community baby showers to reduce infant mortality risk factors for women who speak Spanish

Sleep Health ◽  
2021 ◽  
Author(s):  
Carolyn R. Ahlers-Schmidt ◽  
Christy Schunn ◽  
Ashley M. Hervey ◽  
Maria Torres ◽  
Ana Patricia Cordoba
Keyword(s):  
Risk Factors ◽  
Infant Mortality ◽  
Mortality Risk ◽  
Safe Sleep ◽  
Reduce Infant Mortality
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