diff --git a/vignettes/pathogen_lassa.Rmd b/vignettes/pathogen_lassa.Rmd
index 9bfc047..0dea349 100644
--- a/vignettes/pathogen_lassa.Rmd
+++ b/vignettes/pathogen_lassa.Rmd
@@ -4,29 +4,30 @@ date: "Latest update: `r Sys.Date()`"
 output: html_document
 ---
 
+```{css echo=FALSE}
+.flextable-shadow-host{
+  overflow: scroll;
+  white-space: nowrap;
+}
+```
+
 In 2018, the World Health Organization (WHO) published a list of nine known pathogens (in addition to an unknown _Pathogen X_) for research and development (R&D) prioritisation, due to both their epidemic and pandemic potential and the absence of licensed vaccines or therapeutics. Among these prioritised pathogens is Lassa fever.
 
 The Pathogen Epidemiology Review Group (PERG) has published a systematic review for LASV, if you use any of our results please cite our paper:
 
-> @article{lassa_doohan_2023,
+```{r,eval=FALSE}
+@article{lassa_doohan_2023,
  author = {Doohan et al},
  year={2024},  
  title={Lassa fever outbreaks, mathematical models, and disease parameters: a systematic review and meta-analysis},  
  doi = {10.1101/2024.03.23.24304596},
  publisher = {Cold Spring Harbor Laboratory Press},
  URL = {https://www.medrxiv.org/content/10.1101/2024.03.23.24304596v1},
- eprint = {},
  journal = {medRxiv}
 }
-
+```
 All Figures from the paper are re-produced below on the **latest** available data in our data set. For convenience we label the Figures with the same numbers as in the paper.
 
-```{css echo=FALSE}
-.flextable-shadow-host{
-  overflow: scroll;
-  white-space: nowrap;
-}
-```
 
 ```{r setup, include=FALSE}
 knitr::opts_chunk$set(echo = FALSE)
@@ -209,7 +210,7 @@ Case fatality ratio (CFR) meta-analyses using logit-transformed proportions and
 
 **Figure 3A:**
 
-```{r Figure_3A, echo=FALSE, fig.height=5, fig.width=9, message=FALSE, warning=FALSE, paged.print=FALSE}
+```{r Figure_3A, echo=FALSE, fig.height=6, fig.width=9, message=FALSE, warning=FALSE, paged.print=FALSE}
 d1 <- parameters %>% filter(parameter_type == 'Severity - case fatality rate (CFR)') %>%
                      mutate(case_def = case_when(
                             covidence_id %in% c(18,88,167,174,307,461,645,845,870,873,874,920,921,1080,1173,1181,1254,1272,1368,1413,1426,1444,2567,2579,2585,2589,2636,2651,2662,2684,2818,3147,3215,3530,3635,3716,3841,3991,4314,4727) ~ "Lab-Confirmed",
@@ -357,7 +358,7 @@ forest(m2$result, layout = "RevMan5",
 
 **Figure 3D:**
 
-```{r Figure_3D, echo=FALSE, message=FALSE, warning=FALSE, paged.print=FALSE,fig.height=6, fig.width=9}
+```{r Figure_3D, echo=FALSE, message=FALSE, warning=FALSE, paged.print=FALSE,fig.height=7, fig.width=9}
 
 m3 <- metaprop_wrap(dataframe = da %>% arrange(cfr_ifr_denominator), subgroup = "cfr_denom_cat", 
                     plot_pooled = TRUE, sort_by_subg = FALSE, plot_study = FALSE, digits = 3, colour = "red", 
@@ -546,7 +547,7 @@ forest_plot(d1,expression(Evolutionary~Rate~(s/s/y ~10^{-4})),"genome_site",c(5,
 
 Quality Assessment
 
-```{r qa, message=FALSE, fig.height=6, fig.width=8, warning=FALSE, paged.print=FALSE}
+```{r qa, message=FALSE, fig.height=10, fig.width=8, warning=FALSE, paged.print=FALSE}
 quality <- articles %>%
            mutate_at(vars(starts_with("qa")), funs(replace(., . == "Yes", 1))) %>%
            mutate_at(vars(starts_with("qa")), funs(replace(., . == "No", 0))) %>%
diff --git a/vignettes/pathogen_marburg.Rmd b/vignettes/pathogen_marburg.Rmd
index d9de59e..c3832bd 100644
--- a/vignettes/pathogen_marburg.Rmd
+++ b/vignettes/pathogen_marburg.Rmd
@@ -6,7 +6,8 @@ output: html_document
 
 In 2018, the World Health Organization (WHO) published a list of nine known pathogens (in addition to an unknown _Pathogen X_) for research and development (R&D) prioritisation, due to both their epidemic and pandemic potential and the absence of licensed vaccines or therapeutics. Among these prioritised pathogens is MVD, a highly-lethal infectious _Filoviridae_ single-stranded RNA virus first described in Germany and Serbia (formerly Yugoslavia) in 1967. Subsequent outbreaks of this virus have primarily occurred in sub-Saharan Africa. The Pathogen Epidemiology Review Group (PERG) has published a systematic review for MVD, if you use any of our results please cite our paper:
 
-> @article{marburg_systematic_review_2023,
+```{r, eval=FALSE}
+@article{marburg_systematic_review_2023,
   title={{Marburg virus disease outbreaks, mathematical models, and disease parameters: a systematic review}},
   author={Gina Cuomo-Dannenburg and Kelly McCain and Ruth McCabe and H Juliette T Unwin and Patrick Doohan and Rebecca K Nash and Joseph T Hicks and Kelly Charniga and Cyril Geismar and Ben Lambert and Dariya Nikitin and Janetta E Skarp and Jack Wardle and Pathogen Epidemiology Review Group and Mara Kont and Sangeeta Bhatia and Natsuko Imai and Sabine L van Elsland and Anne Cori and Christian Morgenstern},
   journal={The Lancet Infectious Diseases},
@@ -15,7 +16,7 @@ In 2018, the World Health Organization (WHO) published a list of nine known path
   URL = {https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(23)00515-7/fulltext},
   publisher={Elsevier}
 }
-
+```
 All Tables and Figures from the paper are re-produced below on the **latest** available data in our data set. For convenience we label the Figures and Tables with the same numbers as in the paper.
 
 ```{css echo=FALSE}
diff --git a/vignettes/pathogen_sars.Rmd b/vignettes/pathogen_sars.Rmd
index 18e499a..026762f 100644
--- a/vignettes/pathogen_sars.Rmd
+++ b/vignettes/pathogen_sars.Rmd
@@ -4,29 +4,31 @@ date: "Latest update: `r Sys.Date()`"
 output: html_document
 ---
 
+```{css echo=FALSE}
+.flextable-shadow-host{
+  overflow: scroll;
+  white-space: nowrap;
+}
+```
+
 In 2018, the World Health Organization (WHO) published a list of nine known pathogens (in addition to an unknown _Pathogen X_) for research and development (R&D) prioritisation, due to both their epidemic and pandemic potential and the absence of licensed vaccines or therapeutics. Among these prioritised pathogens is SARS.
 
 The Pathogen Epidemiology Review Group (PERG) has published a systematic review for SARS, if you use any of our results please cite our paper:
 
-> @article{,
- author = {},
+```{r,eval=FALSE}
+@article{sars_morgenstern_2024,
+ author = {Morgenstern et al},
  year={2024},  
- title={},  
- doi = {},
+ title={Severe acute respiratory syndrome (SARS) mathematical models and disease parameters: a systematic review and meta-analysis},  
+ doi = {10.1101/2024.08.13.24311934},
  publisher = {Cold Spring Harbor Laboratory Press},
- URL = {},
- eprint = {},
+ URL = {https://www.medrxiv.org/content/10.1101/2024.08.13.24311934v1},
  journal = {medRxiv}
 }
+```
 
 All Figures from the paper are re-produced below on the **latest** available data in our data set. For convenience we label the Figures with the same numbers as in the paper.
 
-```{css echo=FALSE}
-.flextable-shadow-host{
-  overflow: scroll;
-  white-space: nowrap;
-}
-```
 
 ```{r setup, include=FALSE}
 knitr::opts_chunk$set(echo = FALSE)