Quantifying Age-Related Rates of Social Contact Using Diaries in a Rural Coastal Population of Kenya

被引:87
作者
Kiti, Moses Chapa [1 ]
Kinyanjui, Timothy Muiruri [1 ,2 ]
Koech, Dorothy Chelagat [1 ]
Munywoki, Patrick Kiio [1 ]
Medley, Graham Francis [2 ,3 ]
Nokes, David James [1 ,2 ,3 ]
机构
[1] KEMRI Wellcome Trust Res Programme, Kilifi, Kenya
[2] Univ Warwick, WIDER, Coventry CV4 7AL, W Midlands, England
[3] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England
关键词
MIXING PATTERNS; DISEASE TRANSMISSION; INFECTIOUS-DISEASES; PANDEMIC INFLUENZA; SPREAD; NETWORKS; RELEVANT; MODELS; IMPACT;
D O I
10.1371/journal.pone.0104786
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Improved understanding and quantification of social contact patterns that govern the transmission dynamics of respiratory viral infections has utility in the design of preventative and control measures such as vaccination and social distancing. The objective of this study was to quantify an age-specific matrix of contact rates for a predominantly rural low-income population that would support transmission dynamic modeling of respiratory viruses. Methods and Findings: From the population register of the Kilifi Health and Demographic Surveillance System, coastal Kenya, 150 individuals per age group (<1, 1-5, 6-15, 16-19, 20-49, 50 and above, in years) were selected by stratified random sampling and requested to complete a day long paper diary of physical contacts (e. g. touch or embrace). The sample was stratified by residence (rural-to-semiurban), month (August 2011 to January 2012, spanning seasonal changes in socio-cultural activities), and day of week. Usable diary responses were obtained from 568 individuals (similar to 50% of expected). The mean number of contacts per person per day was 17.7 (95% CI 16.7-18.7). Infants reported the lowest contact rates (mean 13.9, 95% CI 12.1-15.7), while primary school students (6-15 years) reported the highest (mean 20.1, 95% CI 18.0-22.2). Rates of contact were higher within groups of similar age (assortative), particularly within the primary school students and adults (20-49 years). Adults and older participants (>50 years) exhibited the highest inter-generational contacts. Rural contact rates were higher than semiurban (18.8 vs 15.6, p = 0.002), with rural primary school students having twice as many assortative contacts as their semiurban peers. Conclusions and Significance: This is the first age-specific contact matrix to be defined for tropical Sub-Saharan Africa and has utility in age-structured models to assess the potential impact of interventions for directly transmitted respiratory infections.
引用
收藏
页数:9
相关论文
共 29 条
[1]  
[Anonymous], LANCET
[2]   Social mixing patterns for transmission models of close contact infections: exploring self-evaluation and diary-based data collection through a web-based interface [J].
Beutels, P. ;
Shkedy, Z. ;
Aerts, M. ;
Van Damme, P. .
EPIDEMIOLOGY AND INFECTION, 2006, 134 (06) :1158-1166
[3]  
Carpenter J, 2000, STAT MED, V19, P1141, DOI 10.1002/(SICI)1097-0258(20000515)19:9<1141::AID-SIM479>3.0.CO
[4]  
2-F
[5]  
Collins PL, 2007, RESP SYNCYTIAL VIRUS, P233
[6]   Mixing patterns between age groups in social networks [J].
Del Valle, S. Y. ;
Hyman, J. M. ;
Hethcote, H. W. ;
Eubank, S. G. .
SOCIAL NETWORKS, 2007, 29 (04) :539-554
[7]   Measured Dynamic Social Contact Patterns Explain the Spread of H1N1v Influenza [J].
Eames, Ken T. D. ;
Tilston, Natasha L. ;
Brooks-Pollock, Ellen ;
Edmunds, W. John .
PLOS COMPUTATIONAL BIOLOGY, 2012, 8 (03)
[8]   Mixing patterns and the spread of close-contact infectious diseases [J].
Edmunds W.J. ;
Kafatos G. ;
Wallinga J. ;
Mossong J.R. .
Emerging Themes in Epidemiology, 3 (1)
[9]   Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections [J].
Edmunds, WJ ;
OCallaghan, CJ ;
Nokes, DJ .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1997, 264 (1384) :949-957
[10]   Representative Contact Diaries for Modeling the Spread of Infectious Diseases in Taiwan [J].
Fu, Yang-chih ;
Wang, Da-Wei ;
Chuang, Jen-Hsiang .
PLOS ONE, 2012, 7 (10)