1 / 20

Can Difficult-to-Reuse Syringes Reduce the Spread of HIV Among Injection Drug Users? -Caulkins, Kaplan, Lurie, O’Connor

Can Difficult-to-Reuse Syringes Reduce the Spread of HIV Among Injection Drug Users? -Caulkins, Kaplan, Lurie, O’Connor & Ahn. Presented by: Arifa Sultana Zoila Guerra Vikram Sriram. Outline. Introduction Models Model I - One type of syringe Model II - Multiple type of syringe

odin
Download Presentation

Can Difficult-to-Reuse Syringes Reduce the Spread of HIV Among Injection Drug Users? -Caulkins, Kaplan, Lurie, O’Connor

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Can Difficult-to-Reuse Syringes Reduce the Spread of HIV Among Injection Drug Users?-Caulkins, Kaplan, Lurie, O’Connor & Ahn Presented by: Arifa Sultana Zoila Guerra Vikram Sriram

  2. Outline • Introduction • Models • Model I - One type of syringe • Model II - Multiple type of syringe • Future work

  3. Introduction • Principal cause of HIV • Prevention/controlling methods • Using syringes that is impossible to reuse. (may not be feasible) • Distributing Difficult-to-reuse (DTR) syringes

  4. Design approaches for DTR • Syringes containing hydrophilic gel • Plungers disabled when reload • Needles disabled after the first use • Valves that prevent second loading

  5. Benefits of DTR • Reduce the frequency of reused syringes • Reduce the syringes sharing with other

  6. Objectives of the paper • Proportion of injections that are potentially infectious and transmit HIV (i.e. proportion infectious injection) • Which effect would be greater? • Regular • DTR+ Regular

  7. Assumptions • Total number of syringes and the frequency of injection remain constant. • Consider only intentional injections. • Here the syringe is treated as infinitely lived.

  8. Model I – One type of Syringe • To find out the impact of DTR in spread of HIV • How often an injection drug users (IDU’s) injects with an infectious syringe. • Kaplan [1989] introduced one type syringe model considering syringe’s perspective.

  9. How this model differ from Kaplan’s [1989] model? • Kaplan[1989]: changes in the proportion of number of IDU's who are infected and changes in proportion of number of syringes which are infected. This paper: on the proportion of injections that are made with infectious syringes. • Kaplan[1989]: one type of syringe This paper: one and multiple types of syringes • Kaplan [1989]: followed individual syringes This paper: Sequence of syringes in succession • Kaplan [1989]: Used differential equations This paper: Discrete-time Markov model

  10. Model I (Cont.) • Discrete-time Markov model: Find the probability that the syringe is infectious • The epochs are the instants of time just before a session in which a syringe is used to inject drugs. • At each epoch a syringe can be in two states : • Uninfectious (U) • Infectious (I) • Probability from uninfectious to infectious PUI • Probability from infectious to uninfectious PIU

  11. Model I (Cont.) How a Un-infectious Infectious? • Used by infected user = the probability of use by an infected user • Become infectious through that use = the probability become infectious through that use • Remain infectious until just before subsequent use = probability of remain infectious until just before subsequent use. = probability that a syringe which is infectious immediately after use, ceases to be infectious before its next use.

  12. Model I (Cont.) Probability of uninfectious syringe become infectious PUI = f φ (1- ω)

  13. Model I (Cont.) How a infectious un infectious • Both used by an uninfected user = probability of both used by an uninfected user. Have that use render the syringe un-infectious = probability that the use renders the syringe un-infectious 2. Cease to be infectious between uses (by killing virus or replacing syringe) = probability of cease to be infectious between uses

  14. Model I (Cont.) Probability of infectious syringe become uninfectious pUI =(1- f)θ+(1-(1-f)θ)ω) here ω = Where = probability of “dry out”/killing virus n = mean of geometric random variable

  15. Model II • There is more than one type of syringe • The overall fraction of potentially infectious is the weighted sum of the fractions for each type of syringe. • Focus on two types of syringes. • How the proportion of infectious injections would change if DTR syringes are introduced into the current environment

  16. Model II (Cont.) The outcome depends on: Number of both DTR and regular syringes consumed after the DTR syringes are introduced compares to the number of regular syringes consumed before DTR syringes are introduced.

  17. Model II (Cont.) s = rate of consumption of syringes introduced by intervention/rate of consumption of regular syringes before the intervention r = change in rate of consumption of regular syringes caused by intervention/rate of consumption of regular syringes before intervention

  18. Model II (Cont.) If the number of injections remains the same after the introduction of DTR syringes, nR=(1+r)n’R+snD where = average number of times a DTR syringe is used = average number of times a regular syringe was used before DTR syringes were introduced =average number of times regular syringes are used after DTR are introduced

  19. Future work • Finding proportion of infectious injections for both models • Explaining properties of the model • Estimating parameter values • Numerical estimates

  20. Thank You

More Related