Abstract
Bangladesh experiences high infant and child mortality for many years, for which child injury appears to be one of the most important modes of mortality. We modelled "death due to injury" using a logistic regression to study the differentials of death due to accidental injuries fall, drowning, road accident, burn, poisoning, animal bite, cut according to different socioeconomic characteristics using Bangladesh Health and Injury Survey data. The analysis revealed that children in rural areas got injury and then died very frequently by different accidents, most of the children died from drowning, the death rate of children who were injured was highest at home and mother's education status was also an important factor for child injury and death. The uneducated mothers were not aware of the effect of injuries of their children that caused death. In most cases lack of adequate supervision carelessness turned out to be causes these accidental deaths.
| Original language | English |
|---|---|
| Pages (from-to) | 39-44 |
| Number of pages | 6 |
| Journal | Journal of Mathematics and Statistics |
| Volume | 11 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2015 |
Fingerprint
Keywords
- Child health
- Child injury
- Child survival
- Logistic regression
- Modelling child injury
ASJC Scopus subject areas
- Statistics and Probability
- Mathematics(all)
Cite this
Factors causing deaths due to injury among children in Bangladesh. / Khan, Md Hasinur Rahaman; Ahmed, Tahera; Ababneh, Faisal.
In: Journal of Mathematics and Statistics, Vol. 11, No. 2, 2015, p. 39-44.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Factors causing deaths due to injury among children in Bangladesh
AU - Khan, Md Hasinur Rahaman
AU - Ahmed, Tahera
AU - Ababneh, Faisal
PY - 2015
Y1 - 2015
N2 - Bangladesh experiences high infant and child mortality for many years, for which child injury appears to be one of the most important modes of mortality. We modelled "death due to injury" using a logistic regression to study the differentials of death due to accidental injuries fall, drowning, road accident, burn, poisoning, animal bite, cut according to different socioeconomic characteristics using Bangladesh Health and Injury Survey data. The analysis revealed that children in rural areas got injury and then died very frequently by different accidents, most of the children died from drowning, the death rate of children who were injured was highest at home and mother's education status was also an important factor for child injury and death. The uneducated mothers were not aware of the effect of injuries of their children that caused death. In most cases lack of adequate supervision carelessness turned out to be causes these accidental deaths.
AB - Bangladesh experiences high infant and child mortality for many years, for which child injury appears to be one of the most important modes of mortality. We modelled "death due to injury" using a logistic regression to study the differentials of death due to accidental injuries fall, drowning, road accident, burn, poisoning, animal bite, cut according to different socioeconomic characteristics using Bangladesh Health and Injury Survey data. The analysis revealed that children in rural areas got injury and then died very frequently by different accidents, most of the children died from drowning, the death rate of children who were injured was highest at home and mother's education status was also an important factor for child injury and death. The uneducated mothers were not aware of the effect of injuries of their children that caused death. In most cases lack of adequate supervision carelessness turned out to be causes these accidental deaths.
KW - Child health
KW - Child injury
KW - Child survival
KW - Logistic regression
KW - Modelling child injury
UR - http://www.scopus.com/inward/record.url?scp=84946899105&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946899105&partnerID=8YFLogxK
U2 - 10.3844/jmssp.2015.39.44
DO - 10.3844/jmssp.2015.39.44
M3 - Article
AN - SCOPUS:84946899105
VL - 11
SP - 39
EP - 44
JO - Journal of Mathematics and Statistics
JF - Journal of Mathematics and Statistics
SN - 1549-3644
IS - 2
ER -