Effect of modelling slum populations on influenza spread in Delhi

BMJ Open

Volumn 6, Issue 9, 2016, Pages

  Chen, Jiangzhuo ^a   Chu, Shuyu ^a   Chungbaek, Youngyun ^a   Khan, Maleq ^a   Kuhlman, Christopher ^a   Marathe, Achla ^a   Mortveit, Henning ^a   Vullikanti, Anil ^a   Xie, Dawen ^a  

^a VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85139461971     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/BMJOPEN-2016-011699     Document Type: Article

References (31)

1. Madise NJ, Ziraba AK, Inungu J, et al. Are slum dwellers at heightened risk of HIV infection than other urban residents? Evidence from population-based HIV prevalence surveys in Kenya. Health Place 2012;18:1144-52.
2. Nossiter A. Cholera epidemic envelops coastal slums in West Africa. New York Times 22 August 2012.
3. Desai VK, Kapadia SJ, Kumar P, et al. Study of measles incidence and vaccination coverage in slums of Surat city. Indian Journal of Community Medicine 2003;XXVIII:10-14.
4. Un-Habitat. The challenge of slums: global report on human settlements 2003. Manag Environ Qual Int J 2004;15:337-8.
5. Gupta K, Arnold F, Lhungdim H. Health and living conditions in eight Indian cities. National Family Health Survey (NFHS-3), India, 2005-06. Mumbai: International Institute for Population Sciences; Calverton, MA, USA: ICF Macro, 2009.
6. Fox S. The political economy of slums: theory and evidence from Sub-Saharan Africa. World Dev 2014;54:191-203.
7. Kumar S, Quinn SC. Existing health inequalities in India: informing preparedness planning for an influenza pandemic. Health Policy Plan 2012;27:516-26.
8. Hadler JL, Yousey-Hindes K, Pérez A, et al. Influenza-related hospitalizations and poverty levels-United States, 2010-2012. MMWR Morb Mortal Wkly Rep 2016;65:101-5.
9. Sloan C, Chandrasekhar R, Mitchel E, et al. Socioeconomic disparities and influenza hospitalizations, Tennessee, USA. Emerging Infect Dis 2015;21:1602-10.
10. Yousey-Hindes KM, Hadler JL. Neighborhood socioeconomic status and influenza hospitalizations among children: New Haven County, Connecticut, 2003-2010. Am J Public Health 2011;101:1785-9.
11. Kumar S, Piper K, Galloway DD, et al. Is population structure sufficient to generate area-level inequalities in influenza rates? An examination using agent-based models. BMC Public Health 2015;15:947.
12. Sclar ED, Northridge ME. Slums, slum dwellers, and health. Am J Public Health 2003;93:1381.
13. Pellis L, Ball F, Bansal S, et al. Eight challenges for network epidemic models. Epidemics 2015;10:58-62.
14. Xia H, Nagaraj K, Chen J, et al. Synthesis of a high resolution social contact network for Delhi with application to pandemic planning. Artif Intell Med 2015;65:113-30.
15. Firdaus G. Urbanization, emerging slums and increasing health problems: a challenge before the nation: an empirical study with reference to state of Uttar Pradesh in India. J Environ Res Manag 2012;9:146-52.
16. Go VF, Sethulakshmi CJ, Bentley ME, et al. When HIV-prevention messages and gender norms clash: the impact of domestic violence on women's HIV risk in slums of Chennai, India. AIDS Behav 2003;7:263-72.
17. Sur D, Deen JL, Manna B, et al. The burden of cholera in the slums of Kolkata, India: data from a prospective, community based study. Arch Dis Child 2005;90:1175-81.
18. Riley LW, Ko AI, Unger A, et al. Slum health: diseases of neglected populations. BMC Int Health Hum Rights 2007;7:2-2.
19. Bisset K, Marathe M. A cyber environment to support pandemic planning and response. DOE SCIDAC Magazine. 2009:36-47. http://www.scidacreview.org/0903/html/maranthe.html
20. Barrett C, Bisset K, Leidig J, et al. Economic and social impact of influenza mitigation strategies by demographic class. Epidemics 2011;3:19-31.
21. Yang Y, Sugimoto JD, Halloran ME, et al. The transmissibility and control of pandemic influenza A (H1N1) Virus. Science 2009;326:729-33.
22. Jesan T, Menon G, Sinha S. Epidemiological dynamics of the 2009 influenza A(H1N1)v outbreak in India. Curr Sci 2011;100: 1051.
23. Cori A, Valleron AJ, Carrat F, et al. Estimating influenza latency and infectious period durations using viral excretion data. Epidemics 2012;4:132-8.
24. Newman ME. The structure and function of complex networks. SIAM Rev 2003;45:167-256. http://dx.doi.org/10.1137/S003614450342480
25. Dimitrov NB, Meyers LA. INFORMS TutORials in Operations Research. Vol 7. INFORMS; Hanover, MD: (Accessed 22 Nov 2010). 2010. Mathematical approaches to infectious disease prediction and control; pp. 1-25. http://www.informs.org/Pubs/Tutorials-in-OR/2010-TutORials-in-Operations-Research-ONLINE/Chapter-1
26. Bisset K, Chen J, Feng X, et al. EpiFast: a fast algorithm for large scale realistic epidemic simulations on distributed memory systems. Proceedings of the 23rd International Conference on Supercomputing (ICS); 2009:430-9.
27. Hethcote HW. The mathematics of infectious diseases. SIAM Rev 2000;42:599-653. http://dx.doi.org/10.1137/S0036144500371907
28. Pandey A, Atkins KE, Medlock J, et al. Strategies for containing Ebola in West Africa. Science 2014;346:991-5.
29. Perkins TA, Scott TW, Le Menach A, et al. Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission. PLoS Comput Biol 201312;9:e1003327.
30. Fallah MP, Skrip LA, Gertler S, et al. Quantifying poverty as a driver of ebola transmission. PLoS Negl Trop Dis 2015;9:e0004260.
31. Snyder RE, Marlow MA, Riley LW. Ebola in urban slums: the elephant in the room. Lancet Glob Health 2014;2:e685.