Multidimensional poverty index across districts in Punjab, Pakistan: estimation and rationale to consolidate with SDGs

Nawab, Tabish; Raza, Saqlain; Shabbir, Malik Shahzad; Khan, Ghulam Yahya; Bashir, Sana

doi:10.1007/s10668-021-02095-4

Cited by 36 publications

(10 citation statements)

References 46 publications

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“…β-thalassemia is one of the most prevalent Hb disorders in Pakistan 12 . Over one-third of Pakistan's population is under 15 years old 13 . 5.4% is the carrier frequency (Hashmi and Farzana, 1976).…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Clinical Features of Thalassemia Minor Cases

Faizan¹,

Rashid²,

Hussain³

et al. 2023

PJMHS

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Background: Thalassemia, the most common heterogeneous single gene disorder causing sever genetic health problem in the world. In 1932 George and William gave it the name thalassemia derived from Greek words (“thallassa: mean sea) and (“aima: mean blood). The research was conducted on thalassemia minor patients in North Waziristan and some selected areas of Peshawar Khyber pakhtunkhwa. Methods: During this survey 100 thalassemia minor patients were interviewed belonging to different castes. It was observed that majority of the patients were from the age group 1-10 years both in male asn females. Different ethnic groups were interviewed such as Yousafzai, Halimzai, Dawar, Wazir, Noor khel, Musazai, Saidan, Miserkhal, Afridi, Miagan, and Afghan. Results: The most of the thalassemia minor patients belonged to rural area (62.4 %) while 36.6% patients were reported from urban area. The maximum number of thalassemia minor patients belonged to lower class which was reported 47% followed by middle class (35%) and rich people (18%). The parents of 64 patients were cousin while the parents of 36 patients had marriage out of the family. The birth abnormalities were also recorded and observed as abortion (30%), delay birth (23%), still birth (13%) and premature birth (17%). During this study it was observed that majority of the patients were of the moderate body status (54.5%) Interestingly the ratio of obese people was very low. While the ratio of thin people was 39.4%. The physical abnormalities found in thalassemia minor patients included eye, skin, ear, mental and bone and joint abnormalities. the people having the age from 1-10 have an average HB level of 9.45 g/dl while those having age of 41-60 have an average HB level of 11.58 g/dl. The physical infections also reported such as eye infection (39%), GIT infection (20%), Lung infection, Skin infection (16%), UTI (7%) and Ear infection (2%). Conclusion: This study provides an insight in to the mechanism of transmission of thalassemia in the family and suggest social awareness about the disadvantages of the interfamilial marriages. Keywords: Thalassemia, Consanguineous marriages, Hemoglobin, Birth Abnormalities, Infections.

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Section: Introductionmentioning

confidence: 99%

Prevalence and Clinical Features of Thalassemia Minor Cases

Faizan¹,

Rashid²,

Hussain³

et al. 2023

PJMHS

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“…A quintile is representative of 20% of the population, and, its construction is based on the assets of the household, their socioeconomic conditions, and access to mother and children healthcare services, etc [ 30 ]. It is an important component in determining the multidimensional poverty index [ 31 ].…”

Section: Introductionmentioning

confidence: 99%

A novel fractional model for the projection of households using wealth index quintiles

et al. 2022

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Forecasting household assets provides a better opportunity to plan their socioeconomic activities for the future. Fractional mathematical models offer to model the asset-holding data into a piece of scientific evidence in addition to forecasting their future value. This research focuses on the development of a new fractional mathematical model based on the wealth index quintile (WIQ) data. To accomplish the objective, we used the system of coupled fractional differential equations by defining the fractional term with the Caputo derivative and verified it with the stability tests considering the steady-state solution. A numerical solution of the model was obtained using the Adams-Bashforth-Moulton method. To validate the model, we used real-time data obtained from the household series of surveys in Punjab, Pakistan. Different case studies that elucidate the effect of quintiles on the population are also presented. The accuracy of results between real-world and simulated data was compared using absolute and relative errors. The synchronization between the simulated results and real-time data verifies the formulation of the fractional WIQ model. This fractional model can be utilized to predict the approximation of the asset-holding of the households. Due to its relative nature, the model also provides the opportunity for the researchers to use the WIQs of their respective regions to forecast the households’ socioeconomic conditions.

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“…However, little known about child poverty in the context of developing countries [ 13 – 15 , 20 , 22 ]. Gordon et al have identified eight domains of severe child deprivation, including food, safe drinking water, sanitation, health, shelter, education, information and access to services [ 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

“…Even though child poverty research has gained attention, still child poverty is considered for children below the age of 18 [ 13 – 15 , 20 , 22 ]. However, it is well documented that every child group has their own need, and this need changes with the child’s growth.…”

Section: Introductionmentioning

confidence: 99%

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Prevalence and correlates of multidimensional child poverty in India during 2015–2021: A multilevel analysis

et al. 2022

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Despite increasing research and programs to eradicate poverty, poverty still exists and is a far greater concern for children than adults, leading child poverty to become a political, economic, and social issue worldwide and in India. The current study aims to find variations in the prevalence of child poverty and associated factors in India during 2015–21. In the current study, we used two consecutive rounds of the National Family Health Survey (NFHS-4, 2015–16 & NFHS-5, 2019–21) to estimate child poverty (aged 0–59 months) using the Alkire-Foster method. The multilevel logistic regression analyses were performed to find the important cofounder and cluster level variation in child poverty. The results show that about 38 percent of children were multidimensionally poor in 2015–16, which reduced to 27 percent in 2019–21. The decomposition analysis suggests that contribution of nutrition domain to child poverty increases over time, whereas the standard of living substantially declines from NFHS-4 to NFHS-5. The multilevel analysis results show that the age and sex of the child, age and years of schooling of the mother, children ever born, religion, caste, wealth quintile and central, northeast, north and west regions are significantly associated with child poverty over time. Further, the variance participation coefficient statistics show that about 12 percent of the variation in the prevalence of child poverty could be attributed to differences at the community level. The prevalence of child poverty significantly declines over time, and the community-level variation is higher than the district-level in both surveys. However, the community-level variation shows increases over time. The finding suggests a need to improve the nutritional status and standard of living of most deprived households by promoting a child-centric and dimension-specific approach with more focus on PSU-level intervension should adopt in order to lessen child poverty in India.

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Multidimensional poverty index across districts in Punjab, Pakistan: estimation and rationale to consolidate with SDGs

Cited by 36 publications

References 46 publications

Prevalence and Clinical Features of Thalassemia Minor Cases

Prevalence and Clinical Features of Thalassemia Minor Cases

A novel fractional model for the projection of households using wealth index quintiles

Prevalence and correlates of multidimensional child poverty in India during 2015–2021: A multilevel analysis

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