A household-based study of contact networks relevant for the spread of infectious diseases in the highlands of peru

PLoS ONE

Volumn 10, Issue 3, 2015, Pages

  Grijalva, Carlos G ^a   Goeyvaerts, Nele ^b,c   Verastegui, Hector ^d   Edwards, Kathryn M ^a   Gil, Ana I ^d   Lanata, Claudio F ^d   Hens, Niel ^b,c  

^a VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b HASSELT UNIVERSITY   (Belgium)

^c UNIVERSITY OF ANTWERP   (Belgium)

^d INSTITUTO DE INVESTIGACIÓN NUTRICIONAL   (Peru)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGE DISTRIBUTION; AGED; ALTITUDE; ARTICLE; CHILD; CONTACT EXAMINATION; CROSS-SECTIONAL STUDY; DISEASE TRANSMISSION; EPIDEMIC; FEMALE; HOUSEHOLD; HUMAN; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; PERSONAL EXPERIENCE; PERU; PERUVIAN; POPULATION DENSITY; PRESCHOOL CHILD; PROGENY; RESPIRATORY TRACT INFECTION; RURAL AREA; SCHOOL CHILD; SOCIAL INTERACTION; VERY ELDERLY; YOUNG ADULT; COMMUNICATION DISORDERS; FAMILY SIZE; PROSPECTIVE STUDY; QUESTIONNAIRE; RURAL POPULATION; SOCIAL NETWORK; STATISTICAL MODEL;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CHILD; CHILD, PRESCHOOL; COMMUNICATION DISORDERS; CROSS-SECTIONAL STUDIES; FAMILY CHARACTERISTICS; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; PERU; PROSPECTIVE STUDIES; RURAL POPULATION; SOCIAL NETWORKING; SURVEYS AND QUESTIONNAIRES;

EID: 84929207069     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0118457     Document Type: Article

References (26)

1. Mossong J, Hens N, Jit M, Beutels P, Auranen K, Mikolajczyk R, et al. Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med. 2008; 5: e74. doi: 10.1371/journal. pmed.0050074 PMID: 18366252
2. Johnstone-Robertson SP, Mark D, Morrow C, Middelkoop K, Chiswell M, Aquino LD, et al. Social mixing patterns within a South African township community: implications for respiratory disease transmission and control. Am J Epidemiol. 2011; 174: 1246-1255. doi: 10.1093/aje/kwr251 PMID: 22071585
3. Read JM, Edmunds WJ, Riley S, Lessler J, Cummings DA. Close encounters of the infectious kind: methods to measure social mixing behaviour. Epidemiol Infect. 2012; 140: 2117-2130. doi: 10.1017/ S0950268812000842 PMID: 22687447
4. Wallinga J, Teunis P, Kretzschmar M. Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents. Am J Epidemiol. 2006; 164: 936-944. PMID: 16968863
5. Ogunjimi B, Hens N, Goeyvaerts N, Aerts M, Van Damme P, Beutels P. Using empirical social contact data to model person to person infectious disease transmission: an illustration for varicella. Mathematical biosciences. 2009; 218: 80-87. doi: 10.1016/j.mbs.2008.12.009 PMID: 19174173
6. Goeyvaerts N, Hens N, Ogunjimi B, Aerts M, Shkedy Z, Van Damme P, et al. Estimating infectious disease parameters from data on social contacts and serological status. Journal of the Royal Statistical Society Series C-Applied Statistics. 2010; 59: 255-277.
7. Melegaro A, Jit M, Gay N, Zagheni E, Edmunds WJ. What types of contacts are important for the spread of infections?: using contact survey data to explore European mixing patterns. Epidemics. 2011; 3: 143-151. doi: 10.1016/j.epidem.2011.04.001 PMID: 22094337
8. Potter GE, Hens N. A penalized likelihood approach to estimate within-household contact networks from egocentric data. J R Stat Soc Ser C Appl Stat. 2013; 62: 629-648. PMID: 23935218
9. Halloran ME, Ferguson NM, Eubank S, Longini IM Jr., Cummings DA, Lewis B, et al. Modeling targeted layered containment of an influenza pandemic in the United States. Proc Natl Acad Sci U S A. 2008; 105: 4639-4644. doi: 10.1073/pnas.0706849105 PMID: 18332436
10. Ferguson NM, Cummings DA, Fraser C, Cajka JC, Cooley PC, Burke DS. Strategies for mitigating an influenza pandemic. Nature. 2006; 442: 448-452. PMID: 16642006
11. Fumanelli L, Ajelli M, Manfredi P, Vespignani A, Merler S. Inferring the structure of social contacts from demographic data in the analysis of infectious diseases spread. PLoS Comput Biol. 2012; 8: e1002673. doi: 10.1371/journal.pcbi.1002673 PMID: 23028275
12. Horby P, Pham QT, Hens N, Nguyen TT, Le QM, Dang DT, et al. Social contact patterns in Vietnam and implications for the control of infectious diseases. PloS one. 2011; 6: e16965. doi: 10.1371/journal. pone.0016965 PMID: 21347264
13. Grijalva CG, Griffin MR, Edwards KM, Williams JV, Gil AI, Verastegui H, et al. Cohort profile: The study of respiratory pathogens in Andean children. Int J Epidemiol. 2014; 43: 1021-1030. doi: 10.1093/ije/ dyt065 PMID: 23771719
14. Huicho L, Trelles M, Gonzales F, Mendoza W, Miranda J. Mortality profiles in a country facing epidemiological transition: an analysis of registered data. BMC Public Health. 2009; 9: 47. doi: 10.1186/1471-2458-9-47 PMID: 19187553
15. Instituto Nacional de Estadistica e Informatica (INEI). Sistema de Difusion de los Censos Nacionales. Available: http://ineidw.inei.gob.pe/ineidw/#. Accessed on 2014 Nov 2.
16. United Nations Development Program-Peru. Informe sobre Desarrollo Humano Perú 2013. Cambio climático y territorio: Desafíos y respuestas para un futuro sostenible. Available: http://www.pe.undp.org/content/peru/es/home/library/poverty/Informesobredesarrollohumano2013/IDHPeru2013/. Accessed 2014 Nov 1.
17. Grijalva CG, Griffin MR, Edwards KM, Williams JV, Gil AI, Verastegui H, et al. The role of influenza and parainfluenza infections in nasopharyngeal pneumococcal acquisition among young children. Clin Infect Dis. 2014; 58: 1369-1376. doi: 10.1093/cid/ciu148 PMID: 24621951
18. Budge PJ, Griffin MR, Edwards KM, Williams JV, Verastegui H, Hartinger SM, et al. A household-based study of acute viral respiratory illnesses in Andean children. Pediatr Infect Dis J. 2014; 33: 443-447. doi: 10.1097/INF.0000000000000135 PMID: 24378948
19. Budge PJ, Griffin MR, Edwards KM, Williams JV, Verastegui H, Hartinger SM, et al. Impact of home environment interventions on the risk of influenza-associated ARI in Andean children: observations from a prospective household-based cohort study. PLoS One. 2014; 9: e91247. doi: 10.1371/journal.pone. 0091247 PMID: 24622044
20. Kolaczyk E. Statistical Analysis of Network Data: Methods and Models. New York: Springer. 2009.
21. Ball F, Mollison D, Scalia-Tomba G. Epidemics with two levels of Mixing. The Annals of Applied Probability. 1997; 7: 46-89.
22. Smieszek T. A mechanistic model of infection: why duration and intensity of contacts should be included in models of disease spread. Theor Biol Med Model. 2009; 6: 25. doi: 10.1186/1742-4682-6-25 PMID: 19919678
23. Beutels P, Shkedy Z, Aerts M, Van Damme P. Social mixing patterns for transmission models of close contact infections: exploring self-evaluation and diary-based data collection through a web-based interface. Epidemiol Infect. 2006; 134: 1158-1166. PMID: 16707031
24. McCaw JM, Forbes K, Nathan PM, Pattison PE, Robins GL, Nolan TM, et al. Comparison of three methods for ascertainment of contact information relevant to respiratory pathogen transmission in encounter networks. BMC Infect Dis. 2010; 10: 166. doi: 10.1186/1471-2334-10-166 PMID: 20537186
25. Smieszek T, Burri EU, Scherzinger R, Scholz RW. Collecting close-contact social mixing data with contact diaries: reporting errors and biases. Epidemiol Infect. 2012; 140: 744-752. doi: 10.1017/ S0950268811001130 PMID: 21733249
26. Willem L, Van Kerckhove K, Chao DL, Hens N, Beutels P. A nice day for an infection? Weather conditions and social contact patterns relevant to influenza transmission. PLoS One. 2012; 7: e48695. doi: 10.1371/journal.pone.0048695 PMID: 23155399