3 updated

markdown/writing/.~lock.3_discussion.odt#

-,jeffrey,pop-os.localdomain,09.08.2021 10:39,file:///home/jeffrey/.config/libreoffice/4;
+,jeffrey,pop-os.localdomain,09.08.2021 14:09,file:///home/jeffrey/.config/libreoffice/4;
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markdown/writing/3_dicussion.md

@@ -5,35 +5,36 @@ bibliography: [0_references.bib]
 ---
 
 - [Main story](#main-story)
-  - [Origin](#origin)
-  - [Study](#study)
-    - [What countries have succesfully mitigated epidemics and what drove those successes? Focus on success of mitigations instead of stigma of what did not work.](#what-countries-have-succesfully-mitigated-epidemics-and-what-drove-those-successes-focus-on-success-of-mitigations-instead-of-stigma-of-what-did-not-work)
-    - [Key take-aways](#key-take-aways)
-    - [Current HIV numbers not due to different evolution in last 3 decades but due to initial conditions](#current-hiv-numbers-not-due-to-different-evolution-in-last-3-decades-but-due-to-initial-conditions)
-    - [What makes the different initial conditions then ?](#what-makes-the-different-initial-conditions-then-)
+- [Brief paragraph explaining what was done](#brief-paragraph-explaining-what-was-done)
+- [Meaning of what was found](#meaning-of-what-was-found)
+  - [Key take-aways](#key-take-aways)
+  - [Current HIV numbers not due to different evolution in last 3 decades but due to initial conditions](#current-hiv-numbers-not-due-to-different-evolution-in-last-3-decades-but-due-to-initial-conditions)
+  - [What makes the different initial conditions then ?](#what-makes-the-different-initial-conditions-then-)
   - [Other 1](#other-1)
   - [Other 2](#other-2)
-  - [3. Discussion](#3-discussion)
-- [Limitations](#limitations)
+- [Advantages of our study](#advantages-of-our-study)
+- [Limitations of our study](#limitations-of-our-study)
+- [How can futher studies expand on this work](#how-can-futher-studies-expand-on-this-work)
+- [References](#references)
 
 ## Main story
 
-### Origin
+1. Comparison of 2 clustering methods
+2. What does it mean for what was found in previous Aziza study
+3. Compare with her limitations of cross-sectional study, what were you able to find out?
+
+## Brief paragraph explaining what was done
 
-- Aziza et. al. found that SSA could be divided into 3 regions clusters of countries with similar SB characteristics in 2016
-- These clusters have similar HIV incidence within clusters and dissimlar HIV incidence across clusters, again in 2016
-- The question we ask here is whether the SB characteristics of each cluster can explain the current state of HIV epidemics in these countries i.e. are those SB characteristics the root cause of current HIV incidence
 
-### Study
 
-#### What countries have succesfully mitigated epidemics and what drove those successes? Focus on success of mitigations instead of stigma of what did not work.
+## Meaning of what was found
 
-#### Key take-aways
+### Key take-aways
   
 - Key populations
 - Early prevention (focus on youth)
 
-#### Current HIV numbers not due to different evolution in last 3 decades but due to initial conditions
+### Current HIV numbers not due to different evolution in last 3 decades but due to initial conditions
 
 - We similarly looked at DHS datasets and SB space using PCA and found that the 3 clusters existed since early 2000, and evolved similarly over the last 2 decades, with V-shape being retained over time and countries and cluster centroids following similar trajectories on SB space
   - current SB heterogeneity existed 
@@ -43,9 +44,9 @@ bibliography: [0_references.bib]
 - These 2 point above suggest the current HIV indicators in 2019 are a result of initial conditions i.e. HIV indicators in 1990 rather than different management techniques over time to curb the epidemics
   - show example of Malawi, Cote d'Ivoire, and Chad
 
-#### What makes the different initial conditions then ?
+### What makes the different initial conditions then ?
 
-- We see that small difference in $\beta$ for initial conditions can result in large differences in early epidemics
+- We see that small difference in $\beta$ for initial conditions can result in large differences in early epidemics [Annex 3] ?
   - suggest countries with small differences in $\beta$ can have vastly different initial conditions
 
 ### Other 1
@@ -67,14 +68,9 @@ bibliography: [0_references.bib]
   - circumcision protects men that are HIV negative
   - change in $\beta$ may be driven by change in behavior of HIV positive people rather than change in behavior by susceptible...
 
-### 3. Discussion
-
-1. Comparison of 2 clustering methods
-2. What does it mean for what was found in previous Aziza study
-3. Compare with her limitations of cross-sectional study, what were you able to find out?
-
+## Advantages of our study
 
-## Limitations
+## Limitations of our study
 
 - Nationally aggregated data
   - Can make uncertainty large, and we know small differences in $\beta$ can result in large shifts for HIV epidemics, making them perhaps unreliable for this study.
@@ -83,4 +79,12 @@ bibliography: [0_references.bib]
    1. we don't see behavior change within at-risk groups or different clusters of populations. Meaning while some interventions may seem fruitful overall, they may have reached their limits and other at-risk groups respond to different incentives/programs.
    2. other ecological fallacy from Aziza's paper.
 
-- Using a subset of socioeconomic indicators is better than a whole huge set [@Homenauth1046]
+- Using a subset of socioeconomic indicators is better than a whole huge set [@Homenauth1046]
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+
+## How can futher studies expand on this work
+
+- Aziza et. al. found that SSA could be divided into 3 regions clusters of countries with similar SB characteristics in 2016
+- These clusters have similar HIV incidence within clusters and dissimlar HIV incidence across clusters, again in 2016
+- The question we ask here is whether the SB characteristics of each cluster can explain the current state of HIV epidemics in these countries i.e. are those SB characteristics the root cause of current HIV incidence
+
+## References