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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2023-11-01
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| Series: | BMJ Global Health |
| Online Access: | https://gh.bmj.com/content/8/11/e012774.full |
| _version_ | 1797427964602744832 |
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| author | Yang Yu Abu Bakkar Siddique Naoru Koizumi Meng-Hao Li Hadi El-Amine Narae Lee Md. Reazul Haque Md Lutfay Tariq Rahman Manzur Ahmad |
| author_facet | Yang Yu Abu Bakkar Siddique Naoru Koizumi Meng-Hao Li Hadi El-Amine Narae Lee Md. Reazul Haque Md Lutfay Tariq Rahman Manzur Ahmad |
| author_sort | Yang Yu |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T08:51:14Z |
| format | Article |
| id | doaj.art-a42763bf34824a4fa6e3d89e285e7ad2 |
| institution | Directory Open Access Journal |
| issn | 2059-7908 |
| language | English |
| last_indexed | 2024-03-09T08:51:14Z |
| publishDate | 2023-11-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Global Health |
| spelling | doaj.art-a42763bf34824a4fa6e3d89e285e7ad22023-12-02T14:10:08ZengBMJ Publishing GroupBMJ Global Health2059-79082023-11-0181110.1136/bmjgh-2023-012774Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, BangladeshYang Yu0Abu Bakkar Siddique1Naoru Koizumi2Meng-Hao Li3Hadi El-Amine4Narae Lee5Md. Reazul Haque6Md Lutfay Tariq Rahman7Manzur Ahmad8Schar School of Policy and Government, George Mason University, Arlington, Virginia, USASchool of Public Administration, Florida Atlantic University, Boca Raton, Florida, USASchar School of Policy and Government, George Mason University, Arlington, Virginia, USASchar School of Policy and Government, George Mason University, Arlington, Virginia, USASystems Engineering and Operations Research Department, George Mason University, Fairfax, Virginia, USASchar School of Policy and Government, George Mason University, Arlington, Virginia, USADepartment of Development Studies, University of Dhaka, Dhaka, BangladeshDepartment of Development Studies, University of Dhaka, Dhaka, BangladeshBusiness Administration Department, EXIM Bank Agricultural University, Chapainawabgonj, BangladeshThis 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.https://gh.bmj.com/content/8/11/e012774.full |
| spellingShingle | Yang Yu Abu Bakkar Siddique Naoru Koizumi Meng-Hao Li Hadi El-Amine Narae Lee Md. Reazul Haque Md Lutfay Tariq Rahman Manzur Ahmad Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh BMJ Global Health |
| 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 |
| url | https://gh.bmj.com/content/8/11/e012774.full |
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