Abstract
The present research paper focuses on the predictors that are affecting on the child
mortality which has emerged as natural calamity in District Tharparkar, Sindh.
The Infant & child mortality was one of the major millennium development goals
(MDGs), and also Sustainable Development Goal 2015-2030, “goal 3, ensure the
healthy lives and promote well-being for all at all stages” has got extensive
concentration and improvements, nowadays. This situation is excellent in the
developed nations as they surprisingly have decreased child mortality rate, but on
the other hand, the developing countries, like Pakistan, require a lot of efforts for
considerable and extensive reduction in child mortality. Cluster sampling
technique was applied to collect data from victimized families that were confirmed
from the district health department. An interview scheduled was used as a tool
which was consisted of structured and semi-structured questions. However, the
child mortality was examined by the researcher himself, and three hundred
interviews were conducted in the target population from the valid respondents.
Logit Model and Multiple Regression were applied to observe the combined
influence of explanatory variables on dependent variable. Multiple regression
model show that the value of R-Square is 0.493. The value of R-Square is 0.493.
This shows that the 49 percent change in children health status was explained by
the six variables such as parents’ education, family structure, income, lack of
medical facilities, shortage of food and believe on indigenous treatment in the
model. This shows that overall model is statistically significant. Logit model is
consisted two statistics i.e. Cox and Snell R2 whose value is 0.41; indicates that
41% of total variation was explained by the explanatory variables in the chosen
model and 59% by the other variables and/or by chance. Second is Nagelkerke
R
2whose value is 0.618; indicates that 62% of total variation is explained by the
independent variables in the chosen model and 38% by the other variables and/or
by chance. The present research reflects that number of predictors i.e. famine or
drought, scarcity of food and safe drinking water, lack of medicine and unavailability of medical services in hospitals, low income, and low level
education of parents were directly and indirectly hit the health of under five years’
children and ended their life.
Raja Shaharyar, Abdul Qadir Mushtaq , Muhammad Farooq , Muhammad Shabir. (2020) Assessment The Predictors of Child Mortality in District Tharparkar, Sindh, Pakistan, Journal of the Research Society of Pakistan, Volume 57, Issue 1.
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