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Schizont

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Pjotr Prins 6 months ago
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3 changed files with 27 additions and 2 deletions
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@@ -99,4 +99,28 @@ Now there is a trend line towards numbers of days. Very nice. Let's see if we ca
ggplot(data=data, aes(time_to_diagnosis_last_PCR,schizont,colour=location)) + geom_point() + geom_smooth(method=lm,formula = y ~ splines::bs(x,3),se=FALSE)
```

The schizont count from Kilifi North still looks higher in the early days, but the effect does not appear significant.
The anti-schizont antibody is measured before infection. Diagnosis is based on PCR. Based on this
figure the schizont antibody is typically lower in Kilifi North - which points at less malaria activity/infections. When schizont antibody is higher, time to diagnosis is later. This is true for all areas.


Gender shows no real effect

```{r}
ggplot(data=data, aes(time_to_diagnosis_last_PCR,schizont,colour=gender)) + geom_point() + geom_smooth(method=lm,formula = y ~y,se=FALSE)
```

Nor does the genotype

```{r}
ggplot(data=data, aes(time_to_diagnosis_last_PCR,schizont,colour=thal_genotype)) + geom_point() + geom_smooth(method=lm,formula = y ~ x,se=FALSE)
```

Going by phenotype:

```{r}
ggplot(data=data, aes(time_to_diagnosis_last_PCR,schizont,colour=phenotypes_all)) + geom_point() + geom_smooth(method=lm,formula = y ~ x,se=FALSE)
```

suggests out that a difference in starting schizont count between suscept and febrile. Chronic and PCR-ve are solid in late diagnosis.



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scp *.html thebird.nl:/home/biogems/KEMRI/Malaria/
rsync -va *.html thebird.nl:/home/biogems/KEMRI/Malaria/

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@@ -41,6 +41,7 @@ ELISA maps to Schizont column (log transformed)
- ELISA – Titre or anti-schizont antibody at screening (relative ELISA
units)
+ ELISA maps to Schizont column (log transformed)
+ anti-schizont antibody is measured before infection
- Treg_freq – The frequency of Tregs as a proportion of CD4+ T cells
- Treg_Ki67_FC – The fold change in the number of Tregs expressing
Ki-67 (a proliferation marker) between C-1 and C+14


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