Differences

This shows you the differences between two versions of the page.

--- library:drugs_futures_2025_modelling_drug_use [2023/06/03 21:10] – created - external edit 127.0.0.1
+++ library:drugs_futures_2025_modelling_drug_use [2024/04/09 17:52] (current) – elizabethherfel
@@ Line 1: / Line 1: @@
 ======Drugs futures 2025: modelling drug use======
+This report explores the potential utility and benefits of modeling for understanding drug use dynamics and supporting policymaking. It presents three model types—statistical, system-dynamic, and agent-based—and discusses their insights, limitations, and recommendations.\\
+ \\
+ (Generated with the help of GPT-4) \\
 ^  Quick Facts  ^^
-| Report location:  |[[https://www.gov.uk/government/publications/drugs-futures-2025| source]]  |
+|Report location:  |[[https://www.gov.uk/government/publications/drugs-futures-2025|source]]   |
-| Language:  | English   |
+|Language:  |English  |
-| Publisher:  |[[encyclopedia:uk_government_office_for_science|UK Government Office for Science]]  |
+|Publisher:  |[[encyclopedia:uk_government_office_for_science|UK Government Office for Science]]  |
-| Publication date:  |July 13, 2005  |
+|Publication date:  |July 13, 2005  |
-| Authors:  |  |
+|Authors:  |Edmund Chattoe, Matthew Hickman, Peter Vickerman.  |
-| Page count:  |76  |
+|Geographic focus:  |United Kingdom|
+|Page count:  |76  |
 =====Methods=====
+The research method involved developing and analyzing three types of models: statistical models to estimate drug use prevalence, system-dynamic models to simulate Hepatitis C transmission among injecting drug users (IDUs), and agent-based models to explore social influences on drug use and addiction.\\
+ \\
+ (Generated with the help of GPT-4) \\
 =====Key Insights=====
+The report presents three modeling approaches to understand drug use dynamics: statistical models for estimating drug use prevalence; system-dynamic models for simulating Hepatitis C transmission among IDUs; and agent-based models for exploring social influences on drug use. Each model provides unique insights and highlights the need for improved data collection and surveillance strategies.\\
+ \\
+ (Generated with the help of GPT-4) \\
@@ Line 20: / Line 28: @@
 <!-- Insert instructions for additional viewpoints -->
-<span #categories_box> Categories:  {{tag>2005_publication_year}} |  {{tag>English_publication_language}}   </span>
+<span #categories_box> Categories:  {{tag>2005_publication_year}} |  {{tag>English_publication_language}} |  {{tag>agent-based_models}} |  {{tag>data_collection}} |  {{tag>drug_use_dynamics}} |  {{tag>hepatitis_c}} |  {{tag>injecting_drug_users}} |  {{tag>modeling}} |  {{tag>policy_making}} |  {{tag>social_networks}} |  {{tag>statistical_models}} |  {{tag>system-dynamic_models}} |  {{tag>United_Kingdom_geographic_scope}}   </span>
 ~~DISCUSSION~~