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Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh

This study aimed to estimate the prevalence of illegal kidney sales in Kalai Upazila, Bangladesh, using the Network Scale-Up Method (NSUM), an ego-centric network survey-based technique used to estimate the size of hidden populations. The study estimated the size of the kidney seller population, ana...

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Autores principales: Li, Meng-Hao, Yu, Yang, Siddique, Abu Bakkar, Lee, Narae, Haque, Md. Reazul, Rahman, Md Lutfay Tariq, Ahmad, Manzur, El-Amine, Hadi, Koizumi, Naoru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689364/
https://www.ncbi.nlm.nih.gov/pubmed/38035730
http://dx.doi.org/10.1136/bmjgh-2023-012774
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author Li, Meng-Hao
Yu, Yang
Siddique, Abu Bakkar
Lee, Narae
Haque, Md. Reazul
Rahman, Md Lutfay Tariq
Ahmad, Manzur
El-Amine, Hadi
Koizumi, Naoru
author_facet Li, Meng-Hao
Yu, Yang
Siddique, Abu Bakkar
Lee, Narae
Haque, Md. Reazul
Rahman, Md Lutfay Tariq
Ahmad, Manzur
El-Amine, Hadi
Koizumi, Naoru
author_sort Li, Meng-Hao
collection PubMed
description This study aimed to estimate the prevalence of illegal kidney sales in Kalai Upazila, Bangladesh, using the Network Scale-Up Method (NSUM), an ego-centric network survey-based technique used to estimate the size of hidden populations. The study estimated the size of the kidney seller population, analysed the profiles of kidney sellers and kidney brokers and investigated the characteristics of villagers who are more likely to be connected to kidney sellers to identify possible biases of the NSUM estimate. The study found that the prevalence of kidney trafficking in Kalai Upazila was between 1.98% and 2.84%, which is consistent with the estimates provided by a local leader and reporters, but with much narrower bounds. The study also found that a large proportion of kidney sellers and brokers were men (over 70% and 90%, respectively) and relatively young (mean age of 33 and 39, respectively). Specific reasons for kidney sales included poverty (83%), loan payment (4%), drug addiction (2%) and gambling (2%). While most reported male sellers were farmers (56%) and female sellers were housewives (78%) in need of money, most reported brokers were characterised as rich, well-known individuals.
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spelling pubmed-106893642023-12-02 Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh Li, Meng-Hao Yu, Yang Siddique, Abu Bakkar Lee, Narae Haque, Md. Reazul Rahman, Md Lutfay Tariq Ahmad, Manzur El-Amine, Hadi Koizumi, Naoru BMJ Glob Health Original Research This study aimed to estimate the prevalence of illegal kidney sales in Kalai Upazila, Bangladesh, using the Network Scale-Up Method (NSUM), an ego-centric network survey-based technique used to estimate the size of hidden populations. The study estimated the size of the kidney seller population, analysed the profiles of kidney sellers and kidney brokers and investigated the characteristics of villagers who are more likely to be connected to kidney sellers to identify possible biases of the NSUM estimate. The study found that the prevalence of kidney trafficking in Kalai Upazila was between 1.98% and 2.84%, which is consistent with the estimates provided by a local leader and reporters, but with much narrower bounds. The study also found that a large proportion of kidney sellers and brokers were men (over 70% and 90%, respectively) and relatively young (mean age of 33 and 39, respectively). Specific reasons for kidney sales included poverty (83%), loan payment (4%), drug addiction (2%) and gambling (2%). While most reported male sellers were farmers (56%) and female sellers were housewives (78%) in need of money, most reported brokers were characterised as rich, well-known individuals. BMJ Publishing Group 2023-11-30 /pmc/articles/PMC10689364/ /pubmed/38035730 http://dx.doi.org/10.1136/bmjgh-2023-012774 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Li, Meng-Hao
Yu, Yang
Siddique, Abu Bakkar
Lee, Narae
Haque, Md. Reazul
Rahman, Md Lutfay Tariq
Ahmad, Manzur
El-Amine, Hadi
Koizumi, Naoru
Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh
title Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh
title_full Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh
title_fullStr Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh
title_full_unstemmed Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh
title_short Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh
title_sort using the network scale-up method to characterise kidney trafficking in kalai upazila, bangladesh
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689364/
https://www.ncbi.nlm.nih.gov/pubmed/38035730
http://dx.doi.org/10.1136/bmjgh-2023-012774
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