Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks

Proceedings of the National Academy of Sciences of the United States of America

Volumn 113, Issue 23, 2016, Pages 6421-6426

  Finger, Flavio ^a   Genolet, Tina ^a   Mari, Lorenzo ^b   De Magny, Guillaume Constantin ^c   Manga, Noël Magloire ^d   Rinaldo, Andrea ^a,e   Bertuzzo, Enrico ^a  

^a EPFL   (Switzerland)

^b POLITECNICO DI MILANO   (Italy)

^c INSTITUT DE RECHERCHE POUR LE DÉVELOPPEMENT   (France)

^d Assane SECK University of Ziguinchor   (Senegal)

^e UNIVERSITY OF PADOVA   (Italy)

Author keywords

Cholera epidemics; Mobile phone call data; Spatially explicit epidemiological models; Waterborne disease

Indexed keywords

RAIN;

ARTICLE; CHOLERA; COMPARATIVE STUDY; DISEASE COURSE; DISEASE TRANSMISSION; EPIDEMIC; EPIDEMIOLOGICAL DATA; HUMAN; HUMAN ACTIVITIES; INFORMATION DISSEMINATION; MASS COMMUNICATION; MOBILE PHONE; MODEL; POPULATION DENSITY; POPULATION DYNAMICS; PRIORITY JOURNAL; SENEGAL; SPACE; STOCHASTIC MODEL; TIME; THEORETICAL MODEL; TRANSMISSION;

CELL PHONES; CHOLERA; DISEASE OUTBREAKS; HUMANS; MODELS, THEORETICAL; POPULATION DENSITY; RAIN; SENEGAL;

EID: 84973615651     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1522305113     Document Type: Article

References (57)

1. Colizza V, Barrat A, Barthélemy M, Vespignani A (2006) The role of the airline transportation network in the prediction and predictability of global epidemics. Proc Natl Acad Sci USA 103(7):2015-2020.
2. Balcan D, et al. (2009) Multiscale mobility networks and the spatial spreading of infectious diseases. Proc Natl Acad Sci USA 106(51):21484-21489.
3. Meloni S, et al. (2011) Modeling human mobility responses to the large-scale spreading of infectious diseases. Sci Rep 1:62.
4. Bajardi P, et al. (2011) Human mobility networks, travel restrictions, and the global spread of 2009 H1N1 pandemic. PLoS One 6(1):e16591.
5. Wesolowski A, et al. (2012) Quantifying the impact of human mobility on malaria. Science 338(6104):267-270.
6. Tizzoni M, et al. (2014) On the use of human mobility proxies for modeling epidemics. PLOS Comput Biol 10(7):e1003716.
7. Chao DL, Halloran ME, Longini IM Jr (2011) Vaccination strategies for epidemic cholera in Haiti with implications for the developing world. Proc Natl Acad Sci USA 108(17):7081-7085.
8. Gurarie D, Seto EYW (2009) Connectivity sustains disease transmission in environments with low potential for endemicity: Modelling schistosomiasis with hydrologic and social connectivities. J R Soc Interface 6(35):495-508.
9. Mari L, et al. (2012) Modelling cholera epidemics: The role of waterways, human mobility and sanitation. J R Soc Interface 9(67):376-388.
10. Rinaldo A, et al. (2012) Reassessment of the 2010-2011 Haiti cholera outbreak and rainfall-driven multiseason projections. Proc Natl Acad Sci USA 109(17):6602-6607.
11. Bertuzzo E, et al. (2008) On the space-time evolution of a cholera epidemic. Water Resour Res 44(1):W01424.
12. Bertuzzo E, et al. (2011) Prediction of the spatial evolution and effects of control measures for the unfolding Haiti cholera outbreak. Geophys Res Lett 38(6):L06403.
13. Reiner RC Jr, et al. (2012) Highly localized sensitivity to climate forcing drives endemic cholera in a megacity. Proc Natl Acad Sci USA 109(6):2033-2036.
14. Bertuzzo E, Finger F, Mari L, Gatto M, Rinaldo A (2014) On the probability of extinction of the Haiti cholera epidemic. Stochastic Environ Res Risk Assess, 10.1007/s00477-014-0906-3.
15. Mari L, et al. (2015) On the predictive ability of mechanistic models for the Haitian cholera epidemic. J R Soc Interface 12(104):20140840.
16. Kühn J, et al. (2014) Glucose- but not rice-based oral rehydration therapy enhances the production of virulence determinants in the human pathogen Vibrio cholerae. PLoS Negl Trop Dis 8(12):e3347.
17. Tuite AR, et al. (2011) Cholera epidemic in Haiti, 2010: Using a transmission model to explain spatial spread of disease and identify optimal control interventions. Ann Intern Med 154(9):593-601.
18. Azman AS, et al. (2012) Urban cholera transmission hotspots and their implications for reactive vaccination: Evidence from Bissau city, Guinea bissau. PLoS Negl Trop Dis 6(11):e1901.
19. Erlander S, Stewart NF (1990) The Gravity Model in Transportation Analysis - Theory and Extensions (VSP Books, Zeist, The Netherlands).
20. Simini F, González MC, Maritan A, Barabási A-L (2012) A universal model for mobility and migration patterns. Nature 484(7392):96-100.
21. Palchykov V, Mitrovic M, Jo H-H, Saramäki J, Pan RK (2014) Inferring human mobility using communication patterns. Sci Rep 4:6174.
22. Wesolowski A, et al. (2014) Commentary: Containing the ebola outbreak - The potential and challenge of mobile network data. PLoS Curr 6:1.
23. Candia J, et al. (2008) Uncovering individual and collective human dynamics from mobile phone records. J Phys A Math Theor 41:224015.
24. de Montjoye Y-A, Hidalgo CA, Verleysen M, Blondel VD (2013) Unique in the crowd: The privacy bounds of human mobility. Sci Rep 3:1376.
25. Lu X, Bengtsson L, Holme P (2012) Predictability of population displacement after the 2010 Haiti earthquake. Proc Natl Acad Sci USA 109(29):11576-11581.
26. Lu X, Wetter E, Bharti N, Tatem AJ, Bengtsson L (2013) Approaching the limit of predictability in human mobility. Sci Rep 3:2923.
27. Perkins TA, et al. (2014) Theory and data for simulating fine-scale human movement in an urban environment. J R Soc Interface 11(99):20140642.
28. Wesolowski A, et al. (2013) The use of census migration data to approximate human movement patterns across temporal scales. PLoS One 8(1):e52971.
29. Wesolowski A, et al. (2014) Quantifying travel behavior for infectious disease research: A comparison of data from surveys and mobile phones. Sci Rep 4:5678.
30. Bengtsson L, et al. (2015) Using mobile phone data to predict the spatial spread of cholera. Sci Rep 5:8923.
31. Bengtsson L, Lu X, Thorson A, Garfield R, von Schreeb J (2011) Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: A post-earthquake geospatial study in Haiti. PLoS Med 8(8):e1001083.
32. Tatem AJ, et al. (2014) Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning. Malar J 13:52.
33. Wesolowski A, et al. (2015) Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data. Proc Natl Acad Sci USA 112(35): 11114-11119.
34. Mari L, et al. (2015) Uncovering the impact of human mobility on schistosomiasis via mobile phone data. Netmob Conference 2015: Data for Development Challenge Senegal (Mass Inst Technol, Cambridge, MA), pp 71-97.
35. Abubakar I, et al. (2012) Global perspectives for prevention of infectious diseases associated with mass gatherings. Lancet Infect Dis 12(1):66-74.
36. Memish ZA, et al. (2015) Mass gathering and globalization of respiratory pathogens during the 2013 Hajj. Clin Microbiol Infect 21(6):571.e1-571.e8.
37. Wharton M, et al. (1990) A large outbreak of antibiotic-resistant shigellosis at a mass gathering. J Infect Dis 162(6):1324-1328.
38. World Health Organization (2008) Cholera Country Profile: Senegal (World Health Org, Geneva).
39. de Magny GC, et al. (2012) Cholera outbreak in Senegal in 2005: Was climate a factor? PLoS One 7(8):e44577.
40. International Federation of Red Cross and Red Crescent Societies (2007) Senegal: Cholera Final Report (Int Fed Red Cross Red Cresent Soc, Geneva), DREF Bull 05ME020.
41. Echenberg M (2011) Africa in the Time of Cholera: A History of Pandemics from 1817 to the Present (Cambridge Univ Press, Cambridge, UK).
42. Mari L, et al. (2012) On the role of human mobility in the spread of cholera epidemics: Towards an epidemiological movement ecology. Ecohydrology 5(5):531-540.
43. de Montjoye Y-A, Smoreda Z, Trinquart R, Ziemlicki C, Blondel VD (2014) D4D-Senegal: The second mobile phone data for development challenge, arXiv:1407:4885.
44. Wesolowski A, Eagle N, Noor AM, Snow RW, Buckee CO (2012) Heterogeneous mobile phone ownership and usage patterns in Kenya. PLoS One 7(4):e35319.
45. Wesolowski A, Eagle N, Noor AM, Snow RW, Buckee CO (2013) The impact of biases in mobile phone ownership on estimates of human mobility. J R Soc Interface 10(81): 20120986.
46. Boone C (2003) Political Topographies of the African State: Territorial Authority and Institutional Choice (Cambridge Univ Press, Cambridge, UK).
47. Funk S, Salathé M, Jansen VAA (2010) Modelling the influence of human behaviour on the spread of infectious diseases: A review. J R Soc Interface 7(50):1247-1256.
48. King AA, Ionides EL, Pascual M, Bouma MJ (2008) Inapparent infections and cholera dynamics. Nature 454(7206):877-880.
49. Foreman-Mackey D, Hogg DW, Lang D, Goodman J (2013) emcee: The MCMC hammer. Publ Astron Soc Pac 125(925):306-312.
50. Spiegelhalter DJ, Best NG, Carlin BP, Van Der Linde A (2002) Bayesian measures of model complexity and fit. J R Stat Soc Ser A Stat Soc 64(4):583-639.
51. Linard C, Gilbert M, Snow RW, Noor AM, Tatem AJ (2012) Population distribution, settlement patterns and accessibility across Africa in 2010. PLoS One 7(2):e31743.
52. Koelle K, Rodó X, Pascual M, Yunus M, Mostafa G (2005) Refractory periods and climate forcing in cholera dynamics. Nature 436(7051):696-700.
53. Sorooshian S, Dracup JA (1980) Stochastic parameter estimation procedures for hydrologie rainfall-runoff models: Correlated and heteroscedastic error cases. Water Resour Res 16(2):430-442.
54. Gelman A, Carlin J, Stern H, Rubin D (2003) Bayesian Data Analysis (CRC Press, Boca Raton, FL), 2nd Ed.
55. Gillespie DT (1977) Exact stochastic simulation of coupled chemical reactions. J Phys Chem 81(25):2340-2361.
56. Central Intelligence Agency (2013) The World Factbook 2013-14 (Central Intell Agency, Washington, DC).
57. Codeço CT (2001) Endemic and epidemic dynamics of cholera: The role of the aquatic reservoir. BMC Infect Dis 1:1.