2020
DOI: 10.1007/s12187-020-09734-8
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Some Determinants of Infant Mortality Rate in SAARC Countries: an Empirical Assessment through Panel Data Analysis

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Cited by 11 publications
(10 citation statements)
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“…Family income was lowest among those who died and highest among those who completed follow-up and mothers' literacy levels were highest among those who completed follow-up. All these factors, that is, rural residence, family income, gestational age, birth weight have emerged as important determinants of infant and child mortality in Bangladesh and its neighboring countries 11,12 .…”
Section: Discussionmentioning
confidence: 99%
“…Family income was lowest among those who died and highest among those who completed follow-up and mothers' literacy levels were highest among those who completed follow-up. All these factors, that is, rural residence, family income, gestational age, birth weight have emerged as important determinants of infant and child mortality in Bangladesh and its neighboring countries 11,12 .…”
Section: Discussionmentioning
confidence: 99%
“…Economic growth also significantly affects infant and child health, where many of the researchers noted that economic growth reduced infant and child mortality rates in African nations (see [ 3 , 8 , 62 , 78 ]; and [ 43 ]). Beyond African countries, many of the researchers observed that economic growth had a statistically significant impact on reducing the infant and child mortality rates (see [ 20 , 34 , 72 ]; and [ 74 ]). However, Pérez-Moreno et al [ 68 ] identified that a decrease in GDP per capita causes a significant increase in child mortality, whereas the rise does not affect child mortality significantly in the Least Developed Countries (LDCs).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Poor health of newborn (Vidal e Silva et al, 2018), prenatal and postnatal care (Iram & Butt, 2008;Reno & Hyder, 2018), multiple births (Dwomoh et al, 2019;Vidal e Silva et al, 2018), and birth interval (Dwomoh et al, 2019;Lamichhane et al, 2017;Reno & Hyder, 2018) are also found to be associated with infant mortality. Maternal age and health (Iram & Butt, 2008;Reno & Hyder, 2018;Vidal e Silva et al, 2018), maternal substance use (Reno & Hyder, 2018), education (Andriano & Monden, 2019;Dutta et al, 2020;Iram & Butt, 2008;Reno & Hyder, 2018), poor socioeconomic status (Ezeh et al, 2015;Iram & Butt, 2008;Reno & Hyder, 2018), rural residence and region (Ezeh et al, 2015;Lamichhane et al, 2017), area disadvantage (Reno & Hyder, 2018;Vidal e Silva et al, 2018), and female labor participation or employment (Akinyemi et al, 2018;Scharber, 2014) also predicted child and infant mortality. Other maternal factors include intimate partner violence (Ahmed et al, 2006;Koenig et al, 2010), tetanus immunization (Iram & Butt, 2008), mass media use, and body mass index (Memiah et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Other maternal factors include intimate partner violence (Ahmed et al, 2006;Koenig et al, 2010), tetanus immunization (Iram & Butt, 2008), mass media use, and body mass index (Memiah et al, 2020). Furthermore, environmental determinants such as unsafe drinking water, poor sanitation and hygiene, solid fuel use, electricity availability, urbanization, and pollution are found to have a significant impact on infant mortality (Bassani et al, 2010;Dutta et al, 2020;Iram & Butt, 2008;Reno & Hyder, 2018;Rinne et al, 2007;Sartorius & Sartorius, 2014). National-level indicators such as health expenditure and GDP per capita are also shown to be associated with IMR (Dutta et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
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