Data from: Indirect protection from vaccinating children against influenza in households

Tsang, Tim K.1; Fang, Vicky J.1; Ip, Dennis K. M.1; Perera, Ranawaka A. P. M.1; So, Hau Chi1; Leung, Gabriel M.1; Peiris, J. S. Malik1; Cowling, Benjamin J.1; Cauchemez, Simon2

Published Jan 10, 2019 on Dryad. https://doi.org/10.5061/dryad.cj62621

Data files

Jan 10, 2019 version files 1.92 MB

data_long.csv

123.74 KB
data_round.csv

175.51 KB
data.csv

81.67 KB
Figure_2.R

1.65 KB
Figure_3.R

2.90 KB
Figure_4.R

2.95 KB
Figure_5.R

14.35 KB
ILILAB.csv

24.40 KB
indirect_benefit_main.R

4.94 KB
indirect_benefit_prediction.cpp

61.72 KB
indirect_benefit.cpp

53.34 KB
mcmc_result.csv

1.35 MB
prediction_generator.R

1.19 KB
prediction.R

5.27 KB
README.txt

4.41 KB
sub_inf.csv

42 B
Table_S1.R

1.46 KB
Table_S2_3_4.R

10.66 KB
Table_S6.R

1.65 KB

Abstract

Vaccination is an important intervention to prevent influenza virus infection, but indirect protection of household members of vaccinees is not fully known. Here, we analyze a cluster household randomized control trial, with one child in each household randomized to receive vaccine or placebo, for an influenza B epidemic in Hong Kong. We apply statistical models to estimate household transmission dynamics and quantify the direct and indirect protection of vaccination. Direct vaccine efficacy is 71%. The infection probability of unvaccinated household members in vaccinated households was only 5% lower than in control households, because only 10% of infections are attributed to household transmission. Even when that proportion rises to 30% and all children are vaccinated, we predict that the infection probability for unvaccinated household members is only reduced by 20%. This suggests that benefits of individual vaccination remain important even when other household members are vaccinated.

Usage notes

Read me (data file explanations)

Data file

This data file contains data from the kiddivax study at 2009-2010. This is in a wide format that each row is a household.

data.csv

Data file

This is the long format that each row is a participant.

data_long.csv

Data file

This is the format that each row is a participant for each round.

data_round.csv

Influenza surveillance data

The influenza proxy used in the analysis.

ILILAB.csv

Data file

This file contains information on the baseline titer distribution.

sub_inf.csv

Data file (MCMC result)

The mcmc result for the manuscript.

mcmc_result.csv

R syntax to fit the digraph model

R syntax to fit the digraph model on the household data. This will create a data file [mcmc_result.csv] for further analysis. Noted that Supplementary Table 5 was also generated from this file.

indirect_benefit_main.R

R syntax

The file that are used by [indirect_benefit_main.r].

indirect_benefit.cpp

R syntax

The file that are used by [prediction.R].

indirect_benefit_prediction.cpp

R syntax to condcut prediction

R syntax to condcut prediction based on the posterior distribution of model parameter [mcmc_result.csv].

prediction.R

R syntax to generate prediciton for different scenarios

R syntax to use [prediction.R] file to generate prediciton for different scenarios. This should generate 15 files in the format of [predictionVW.Rdata]: V: 1: no vaccination in households. 2: vaccinating one child in households. 3: vaccination all children in households W: 1-5 for the proportion of infection attributed to household transmission is 10% (1), 20% (2), 30% (3), 40% (4) and 50% (5).

prediction_generator.R

R syntax for Figure 2

Contain the R syntax to reproduce Figure 2.

Figure_2.R

R syntax for Figure 3

Contain the R syntax to reproduce Figure 3.

Figure_3.R

R syntax for Figure 4

Contain the R syntax to reproduce Figure 4.

Figure_4.R

R syntax for Figure 5 & S_Figure 1-5

Contain the R syntax to reproduce Figure 5 in the main text, and supplementary Figure 1-5.

Figure_5.R

R syntax for Supplementary Table 1

R syntax to reproduce results in Supplementary Table 1.

Table_S1.R

R syntax for Supplementary Table 2-4

R syntax to reproduce results in Supplementary Table 2,3 and 4.

Table_S2_3_4.R

R syntax for Supplementary Table 6

R syntax to reproduce results in Supplementary Table 6.

Table_S6.R

Data from: Indirect protection from vaccinating children against influenza in households

Data files

Abstract

Usage notes

Read me (data file explanations)

Data file

Data file

Data file

Influenza surveillance data

Data file

Data file (MCMC result)

R syntax to fit the digraph model

R syntax

R syntax

R syntax to condcut prediction

R syntax to generate prediciton for different scenarios

R syntax for Figure 2

R syntax for Figure 3

R syntax for Figure 4

R syntax for Figure 5 & S_Figure 1-5

R syntax for Supplementary Table 1

R syntax for Supplementary Table 2-4

R syntax for Supplementary Table 6

Works referencing this dataset