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Social contact data and web apps for infectious disease modeling and computer simulation

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socialcontact

Overview

Mossong et al. (2008)

Prem, Cook, and Jit (2017)

Prem et al. (2020)

Installation

Install development version from GitHub.

# install.packages("remotes")
remotes::install_github("myangstat/socialcontact")

Load the package into R.

library(socialcontact)
contacts2$country
##      code              name
##   1:  ALB           Albania
##   2:  DZA           Algeria
##   3:  AND           Andorra
##   4:  ATG Antigua & Barbuda
##   5:  ARG         Argentina
##  ---                       
## 148:  VEN         Venezuela
## 149:  VNM           Vietnam
## 150:  YEM             Yemen
## 151:  ZMB            Zambia
## 152:  ZWE          Zimbabwe
str(contacts2$contacts$CHN)
## List of 5
##  $ home  : num [1:16, 1:16] 0.0742 0.1685 0.1758 0.079 0.3069 ...
##  $ work  : num [1:16, 1:16] 0 0 0 0 0 0 0 0 0 0 ...
##  $ school: num [1:16, 1:16] 6.44e-02 1.08e-02 9.12e-05 5.20e-04 1.44e-03 ...
##  $ others: num [1:16, 1:16] 0.7154 0.3353 0.1073 0.0737 0.1302 ...
##  $ all   : num [1:16, 1:16] 0.854 0.515 0.283 0.153 0.439 ...
contacts2$contacts$CHN$all
##             [,1]       [,2]       [,3]       [,4]       [,5]       [,6]      [,7]      [,8]
##  [1,] 0.85392712 0.50557256 0.29971099 0.19328041 0.35948336 0.63725987 0.6914754 0.7207420
##  [2,] 0.51460146 2.32585497 0.67268691 0.27317668 0.20375291 0.36753313 0.7404596 1.0234261
##  [3,] 0.28323254 1.06063540 3.35694230 0.74003199 0.39063822 0.27621772 0.4945936 0.8329276
##  [4,] 0.15318734 0.34048063 1.76527010 6.11336781 1.85972106 0.79124274 0.5793567 0.8298388
##  [5,] 0.43854535 0.22720469 0.38899726 2.66474304 5.08830960 2.50444290 1.3921431 1.2628971
##  [6,] 0.79012096 0.33100101 0.18441258 0.77168494 2.35025549 3.15923010 1.9636379 1.5768317
##  [7,] 0.57478011 0.79007753 0.62258186 0.41509992 1.17467459 1.71923891 2.3458735 1.9510463
##  [8,] 0.51098445 0.79624755 0.84155841 0.78076941 0.88670059 1.50713423 1.8079247 2.7343011
##  [9,] 0.24793599 0.41490974 0.73709325 1.26010409 1.26115741 1.34144915 1.6817572 2.1191707
## [10,] 0.10617551 0.27356669 0.44616088 1.01680480 1.32269196 1.19275962 1.2585176 1.4478430
## [11,] 0.17698713 0.19674990 0.28889249 0.56333731 0.91729918 1.33626375 1.0700220 1.0963841
## [12,] 0.15021328 0.26247867 0.22257080 0.36875144 0.65806651 1.07847116 1.2437330 1.1223510
## [13,] 0.11620162 0.12133675 0.09087076 0.18880278 0.34963393 0.53407775 0.5826001 0.7647057
## [14,] 0.07460803 0.07914122 0.05769745 0.05755148 0.19611420 0.24999280 0.3261198 0.4584376
## [15,] 0.02567550 0.05326242 0.09455166 0.13232039 0.13321065 0.15744297 0.1658684 0.2813765
## [16,] 0.03836691 0.04067587 0.05496536 0.03857790 0.06424181 0.08089722 0.1515012 0.1502518
##            [,9]     [,10]     [,11]     [,12]      [,13]      [,14]      [,15]      [,16]
##  [1,] 0.4476289 0.2427835 0.2332316 0.3270374 0.14457264 0.11699195 0.05357597 0.02494994
##  [2,] 0.6771983 0.2163312 0.1232302 0.2627246 0.14214079 0.10289826 0.09507424 0.02444113
##  [3,] 0.8621333 0.4660547 0.1951664 0.1370054 0.10610421 0.10384455 0.10909713 0.03307429
##  [4,] 1.1895389 1.0578968 0.4452925 0.2501693 0.11743720 0.08818630 0.04461692 0.04030892
##  [5,] 1.4033651 1.5285181 0.8431061 0.6237806 0.15581890 0.08802531 0.05105673 0.03979087
##  [6,] 1.3378293 1.1014932 1.0157259 0.5795912 0.24584656 0.07227625 0.04855982 0.03265255
##  [7,] 1.4571775 1.0913908 0.7666314 0.6490279 0.36463402 0.07523134 0.04871196 0.03116153
##  [8,] 2.1792904 1.3599827 0.8536065 0.6035346 0.37131898 0.16574292 0.22028514 0.07187892
##  [9,] 2.7006649 1.9356474 1.0975807 0.4715509 0.28029376 0.27344437 0.18314083 0.12954638
## [10,] 1.6438192 1.8490070 1.2521634 0.5270033 0.21167257 0.11346063 0.12858809 0.04795956
## [11,] 1.5320453 1.4913849 1.1794459 0.7706584 0.22869036 0.10008666 0.04396887 0.02935664
## [12,] 1.2331623 0.9092184 0.9465359 1.1429605 0.53819068 0.17571389 0.07246835 0.03903960
## [13,] 0.6919347 0.5736871 0.4095733 0.5667322 0.44671197 0.25793046 0.16594184 0.04831119
## [14,] 0.3740728 0.2668366 0.1931908 0.2994004 0.31664773 0.32736058 0.19399149 0.06836310
## [15,] 0.3401138 0.2521658 0.1342158 0.1811956 0.26120605 0.22269329 0.23258593 0.17508715
## [16,] 0.1639864 0.1863301 0.1402924 0.1122120 0.09335018 0.10367139 0.12418402 0.05430915

References

Mossong, Joël, Niel Hens, Mark Jit, Philippe Beutels, Kari Auranen, Rafael Mikolajczyk, Marco Massari, et al. 2008. “Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases.” PLoS Medicine 5 (3): e74. https://doi.org/10.1371/journal.pmed.0050074.

Prem, Kiesha, Alex R. Cook, and Mark Jit. 2017. “Projecting Social Contact Matrices in 152 Countries Using Contact Surveys and Demographic Data.” PLoS Computational Biology 13 (9): e1005697. https://doi.org/10.1371/journal.pcbi.1005697.

Prem, Kiesha, Yang Liu, Timothy W Russell, Adam J Kucharski, Rosalind M Eggo, Nicholas Davies, Mark Jit, and Petra Klepac. 2020. “The Effect of Control Strategies to Reduce Social Mixing on Outcomes of the Covid-19 Epidemic in Wuhan, China: A Modelling Study.” Lancet 5 (5): e261–e270. https://doi.org/10.1016/S2468-2667(20)30073-6.

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