An Immunization Strategy for Hidden Populations

Abstract Hidden populations, such as injecting drug users (IDUs), sex workers (SWs) and men who have sex with men (MSM), are considered at high risk of contracting and transmitting infectious diseases such as AIDS, gonorrhea, syphilis etc. However, public health interventions to such groups are proh...

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Autores principales: Saran Chen, Xin Lu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/6cd080e402f54e5ba2db393703e3aa32
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spelling oai:doaj.org-article:6cd080e402f54e5ba2db393703e3aa322021-12-02T12:32:19ZAn Immunization Strategy for Hidden Populations10.1038/s41598-017-03379-42045-2322https://doaj.org/article/6cd080e402f54e5ba2db393703e3aa322017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03379-4https://doaj.org/toc/2045-2322Abstract Hidden populations, such as injecting drug users (IDUs), sex workers (SWs) and men who have sex with men (MSM), are considered at high risk of contracting and transmitting infectious diseases such as AIDS, gonorrhea, syphilis etc. However, public health interventions to such groups are prohibited due to strong privacy concerns and lack of global information, which is a necessity for traditional strategies such as targeted immunization and acquaintance immunization. In this study, we introduce an innovative intervention strategy to be used in combination with a sampling approach that is widely used for hidden populations, Respondent-driven Sampling (RDS). The RDS strategy is implemented in two steps: First, RDS is used to estimate the average degree (personal network size) and degree distribution of the target population with sample data. Second, a cut-off threshold is calculated and used to screen the respondents to be immunized. Simulations on model networks and real-world networks reveal that the efficiency of the RDS strategy is close to that of the targeted strategy. As the new strategy can be implemented with the RDS sampling process, it provides a cost-efficient and feasible approach for disease intervention and control for hidden populations.Saran ChenXin LuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Saran Chen
Xin Lu
An Immunization Strategy for Hidden Populations
description Abstract Hidden populations, such as injecting drug users (IDUs), sex workers (SWs) and men who have sex with men (MSM), are considered at high risk of contracting and transmitting infectious diseases such as AIDS, gonorrhea, syphilis etc. However, public health interventions to such groups are prohibited due to strong privacy concerns and lack of global information, which is a necessity for traditional strategies such as targeted immunization and acquaintance immunization. In this study, we introduce an innovative intervention strategy to be used in combination with a sampling approach that is widely used for hidden populations, Respondent-driven Sampling (RDS). The RDS strategy is implemented in two steps: First, RDS is used to estimate the average degree (personal network size) and degree distribution of the target population with sample data. Second, a cut-off threshold is calculated and used to screen the respondents to be immunized. Simulations on model networks and real-world networks reveal that the efficiency of the RDS strategy is close to that of the targeted strategy. As the new strategy can be implemented with the RDS sampling process, it provides a cost-efficient and feasible approach for disease intervention and control for hidden populations.
format article
author Saran Chen
Xin Lu
author_facet Saran Chen
Xin Lu
author_sort Saran Chen
title An Immunization Strategy for Hidden Populations
title_short An Immunization Strategy for Hidden Populations
title_full An Immunization Strategy for Hidden Populations
title_fullStr An Immunization Strategy for Hidden Populations
title_full_unstemmed An Immunization Strategy for Hidden Populations
title_sort immunization strategy for hidden populations
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/6cd080e402f54e5ba2db393703e3aa32
work_keys_str_mv AT saranchen animmunizationstrategyforhiddenpopulations
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