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Article
Publication date: 24 December 2024

Kainat Fatima, Rabia Zaheer, Zaib Sohail and Mehr-un-Nisa Shakeel

This paper highlights public health issues arising in prisons due to overcrowding – focusing on existence of tuberculosis (TB) and its transmission in a TB endemic country. It…

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Abstract

Purpose

This paper highlights public health issues arising in prisons due to overcrowding – focusing on existence of tuberculosis (TB) and its transmission in a TB endemic country. It further addresses feasible TB management, to develop an applicable preventive intervention that will control TB transmission and development within and outside prisons. This study aims to decrease morbidity and mortality caused by TB by identifying latent tuberculosis infection (LTBI) cases.

Design/methodology/approach

A novel cross-sectional study conducted on male prisoners of Central Prison Rawalpindi, dividing them into three strata, i.e. under-trial (UTP), convicted (CTP) and condemned (CP) prisoners. Prevalence of latent TB infection within prisoners was methodologically calculated using multiple statistical analysis at 95% confidence interval. This research sourced an invasive skin test (Mantoux test) for primary data collection from targeted key population.

Findings

This research calculated existing prevalence of LTBI at 47.25%, 47.45% and 53%, respectively in UTP, CTP and CP prisoners, and 32.2% in total prison population. Overcrowding, poor health conditions and excessive smoking presented strong statistical significance to high LTBI prevalence across the prison population.

Research limitations/implications

Limitations included accessibility to prisons due to procedural concealment, and unannounced release of UTPs that was dealt through supplementary testing. The presented research findings highlight the disease spread across key populations, and the importance of identifying, containing and controlling them. It elaborates the crucial use of Mantoux tuberculin skin test (TST) to identify and isolate LTBI and potential TB cases in a closed population. It also facilitates policy implications that promote health and safety for prisoners, law enforcers and associated external population.

Practical implications

TB is one of the top 10 fatal illnesses and second highest infectious disease worldwide. For decades, TB ruled over human health and threatened their survival. Health-care professionals face challenges in locating, isolating, treating and controlling TB across the globe. Pakistan is a TB endemic country that internationally ranks fifth in nations with high TB burden. LTBI prevalence is unknown in Pakistan. Key populations are well-known to comparatively live with higher rates of infectious disease. Therefore, this research targeted a key population and has successfully calculated LTBI prevalence in overcrowded male prison population.

Social implications

Key populations are at high risk of contracting and transmitting communicable diseases. They not only possess higher disease incidences, but are also responsible for disease-spread within and outside their community. Targeting them will help in controlling for LTBI across prison population as well as the external population that is associated with the prisoners. TST allowed maximum screening coverage, encapsulated LTBI, spread awareness and eliminated stigmatisation.

Originality/value

Prevalence of TB and LTBI are unknown in Pakistan. This novel research calculated LTBI prevalence through primary data collection and targeted key populations. Authors collected primary data on case-by-case basis. This study has efficaciously located and isolated LTBI cases among the sample population following internationally standardised TST procedures.

Details

International Journal of Prison Health, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2977-0254

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Article
Publication date: 5 June 2024

Majid Amin, Fuad A. Awwad, Emad A.A. Ismail, Muhammad Ishaq, Taza Gul and Tahir Saeed Khan

(1) A mathematical model for the Hybrid nanofluids flow is used as carriers for delivering drugs. (2) The flow conditions are controlled to enable drug-loaded nanofluids to flow…

56

Abstract

Purpose

(1) A mathematical model for the Hybrid nanofluids flow is used as carriers for delivering drugs. (2) The flow conditions are controlled to enable drug-loaded nanofluids to flow through the smaller gap between the two tubes. (3) Hybrid nanofluids (HNFs) made from silver (Ag) and titanium dioxide (TiO2) nanoparticles are analyzed for applications of drug delivery. (Ag) and (TiO2) (NPs) are suitable candidates for cancer treatment due to their excellent biocompatibility, high photoactivity, and low toxicity. (4) The new strategy of artificial neural networks (ANN) is used which is machine-based and more prominent in validation, and comparison with other techniques.

Design/methodology/approach

The two Tubes are settled in such a manner that the gap between them is uniform. The Control Volume Finite Element Method; Rk-4 and Artificial Neural Network (ANN).

Findings

(1) From the obtained results it is observed that the dispersion and distribution of drug-loaded nanoparticles within the body will be improved by the convective motion caused by hybrid nanofluids. The effectiveness and uniformity of drug delivery to target tissues or organs is improved based on the uniform flow and uniform gap. (2) The targeting efficiency of nanofluids is further improved with the addition of the magnetic field. (3) The size of the cylinders, and flow rate, are considered uniform to optimize the drug delivery.

Research limitations/implications

(1)The flow phenomena is considered laminar, one can use the same idea through a turbulent flow case. (2) The gap is considered uniform and will be interesting if someone extends the idea as non-uniform.

Practical implications

(1) To deliver drugs to the targeted area, a suitable mathematical model is required. (2) The analysis of hybrid nanofluids (HNFs) derived from silver (Ag) and titanium dioxide (TiO2) nanoparticles is conducted for the purpose of drug delivery. The biocompatibility, high photoactivity, and low toxicity of (Ag) and (TiO2) (NPs) make them ideal candidates for cancer treatment. (3) Machine-based artificial neural networks (ANN) have a new strategy that is more prominent in validation compared to other techniques.

Social implications

The drug delivery model is a useful strategy for new researchers. (1) They can extend this idea using a non-uniform gap. (2) The flow is considered uniform, the new researchers can extend the idea using a turbulent case. (3) Other hybrid nanofluids flow, in the same model for other industrial usages are possible.

Originality/value

All the obtained results are new. The experimental thermophysical results are used from the existing literature and references are provided.

Details

Multidiscipline Modeling in Materials and Structures, vol. 20 no. 4
Type: Research Article
ISSN: 1573-6105

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