Background: Among several parameters to understand the living standard of a country, child mortality is a vital sensitive indicator. The study of child mortality has long been largely neglected by research in developing nations of world including India.
Objectives: In this paper, an attempt has been made to see the main causes of child death and also try to find out the various factors associated with it.
Materials and Methods: Interview with structured schedule was the prime method of data collection, while observation method was also applied whenever necessary. The cause of death was ascertained using verbal autopsy procedure. Percentage distribution, chi-square, and logistic regression model have been used to determine the factors affecting child mortality.
Result: The study reveals that out of 604 live births, 562 (93.06%) children are surviving while 42 (6.95%) are dead. Female infant and child mortality are higher than that of male. The main causes of death among the infants, 1Ė5 years, and 5Ė14 years children are low birth weight (30.00%), diarrhea (44.44%), and fever unspecified (42.86%), respectively.
Conclusion: In this study, factors such as mothersí age at first child birth, birth order, mothersí education, institutional delivery, and immunization have played a very important role in reducing child mortality.
Child mortality, chi-square, infant mortality, logistic regression, verbal autopsy
Biovalue in Human Brain Banking: Applications and Challenges for Research in Neurodegenerative Diseases.
Methods in molecular biology (Clifton, N.J.). 2022; 2389(): 209-220
Meta-analysis of Pragmatic and Explanatory Trials.
Mbuagbaw L, Aves T
Methods in molecular biology (Clifton, N.J.). 2022; 2345(): 147-158
Causal Indicators for Assessing the Truthfulness of Child Speech in Forensic Interviews.
Durante Z, Ardulov V, Kumar M, Gongola J, Lyon T, Narayanan S
Computer speech & language. 2022; 71():
Biomarker Rule-in or Rule-out in Patients With Acute Diseases for Validation of Acute Kidney Injury in the Emergency Department (BRAVA): A Multicenter Study Evaluating Urinary TIMP-2/IGFBP7.
Yang HS, Hur M, Lee KR, Kim H, Kim HY, Kim JW, Chua MT, Kuan WS, Chua HR, Kitiyakara C, Phattharapornjaroen P, Chittamma A, Werayachankul T, Anandh U, Herath S, Endre Z, Horvath AR, Antonini P, Somma SD,
Annals of laboratory medicine. 2022; 42(2): 178-187
A biomolecule-free electrochemical sensing approach based on a novel electrode modification technique: Detection of ultra-low concentration of őĒ‚ĀĻ-tetrahydrocannabinol in saliva by turning a sample analyte into a sensor analyte.
Ortega GA, Ahmed SR, Tuteja SK, Srinivasan S, Rajabzadeh AR
Talanta. 2022; 236(): 122863