Integrative modelling for one health: Pattern, process and participation

Philosophical Transactions of the Royal Society B: Biological Sciences

Volumn 372, Issue 1725, 2017, Pages

  Scoones, I ^a   Jones, K ^b,c   Lo Iacono, G ^d,e   Redding, D W ^b   Wilkinson, A ^a   Wood, J L N ^d  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c INSTITUTE OF ZOOLOGY   (United Kingdom)

^d UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^e PUBLIC HEALTH ENGLAND   (United Kingdom)

Author keywords

Africa; Ebola; Lassa fever; Modelling; One health; Zoonoses

Indexed keywords

DISEASE CONTROL; DISEASE INCIDENCE; DISEASE TRANSMISSION; EBOLA VIRUS DISEASE; ETHNOGRAPHY; MOBILITY; MOVEMENT; NUMERICAL MODEL; PUBLIC HEALTH; TEMPORAL ANALYSIS;

AFRICA;

EBOLA VIRUS; LASSA VIRUS;

AFRICA; ANIMAL; EBOLA HEMORRHAGIC FEVER; HUMAN; LASSA FEVER; ONE HEALTH; THEORETICAL MODEL; TRANSMISSION; VIROLOGY; ZOONOSIS;

AFRICA; ANIMALS; HEMORRHAGIC FEVER, EBOLA; HUMANS; LASSA FEVER; MODELS, THEORETICAL; ONE HEALTH; ZOONOSES;

EID: 85020435516     PISSN: 09628436     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rstb.2016.0164     Document Type: Review

References (119)

1. Dubitzky W, Wolkenhauer O, Cho K-H, Yokota H. (eds). 2013 Encyclopedia of systems biology. New York, NY: Springer.
2. Macal CM, North MJ. 2010 Tutorial on agent-based modelling and simulation. J. Simul. 4, 151–162. (doi: 10.1057/jos.2010.3)
3. Anderson RM, May RM. 1991 Infectious diseases of humans: dynamics and control. Oxford, UK: Oxford University Press.
4. Kermack WO, McKendrick AG. 1927 A contribution to the mathematical theory of epidemics. Proc. R. Soc. Lond. A 115, 700–721. (doi: 10.1098/ rspa.1927.0118)
5. Smith DL, Battle KE, Hay SI, Barker CM, Scott TW, McKenzie FE. 2012 Ross, Macdonald, and a theory for the dynamics and control of mosquitotransmitted pathogens. PLoS Pathog. 8, e1002588. (doi: 10.1371/journal.ppat.1002588)
6. Keeling MJ, Ross JV. 2008 On methods for studying stochastic disease dynamics. J. R. Soc. Interface 5, 171–181. (doi: 10.1098/rsif.2007.1106)
7. Keeling MJ. 1999 The effects of local spatial structure on epidemiological invasions. Proc. R. Soc. Lond. B 266, 859–867. (doi: 10.1098/rspb.1999.0716)
8. Dobson A. 2004 Population dynamics of pathogens with multiple host species. Am. Nat. 164, S64-S78. (doi: 10.1086/424681)
9. Day T, Proulx SR. 2004 A general theory for the evolutionary dynamics of virulence. Am. Nat. 163, E40–E63. (doi: 86/382548)
10. Lo Iacono G, van den Bosch F, Paveley N. 2012 The evolution of plant pathogens in response to host resistance: factors affecting the gain from deployment of qualitative and quantitative resistance. J. Theor. Biol. 304, 152–163. (doi: 10. 1016/j.jtbi.2012.03.033)
11. Lo Iacono G, van den Bosch F, Gilligan CA. 2013 Durable resistance to crop pathogens: an epidemiological framework to predict risk under uncertainty. PLoS Comput. Biol. 9, e1002870. (doi: 10.1371/journal.pcbi.1002870)
12. Torres Codeco C. 2001 Endemic and epidemic dynamics of cholera: the role of the aquatic reservoir. BMC Infect. Dis. 1, 1. (doi: 10.1186/1471-2334-1-1)
13. Anderson RM, May RM. 1991 Infectious diseases of humans: dynamics and control. Oxford, UK: Oxford University Press.
14. Van Kampen N. 2007 Stochastic processes in physics and chemistry, 3rd edn. Amsterdam, The Netherlands: Elsevier.
15. Ball F, O’Neill PD, Pike J. 2007 Stochastic epidemic models in structured populations featuring dynamic vaccination and isolation. J. Appl. Probab. 44, 571-585. (doi: 10.1239/jap/1189717530)
16. Jansen VAA, Stollenwerk N. 2005 Modeling measles outbreaks. In Branching processes: variation, growth, and extinction of populations (eds P Haccou, P Jagers, V Vatutin), pp. 236–249. Cambridge, UK: Cambridge University Press.
17. Stollenwerk N, Aguiar M, Ballesteros S, Boto J, Kooi B, Mateus L. 2012 Dynamic noise, chaos and parameter estimation in population biology. Interface Focus 2, 156–169. (doi: 10.1098/rsfs. 2011.0103)
18. Kubiak RJ, Arinaminpathy N, McLean AR. 2010 Insights into the evolution and emergence of a novel infectious disease. PLoS Comput. Biol. 6, e1000947. (doi: 10.1371/journal.pcbi.1000947)
19. Blumberg S, Lloyd-Smith JO. 2013 Inference of R0 and transmission heterogeneity from the size distribution of stuttering chains. PLoS Comput. Biol. 9, e1002993. (doi: 10.1371/journal.pcbi. 1002993)
20. Kucharski A, Mills H, Pinsent A, Fraser C, van Kerkhove M, Donnelly CA, Riley S. 2014 Distinguishing between reservoir exposure and human-to-human transmission for emerging pathogens using case onset data. PLoS Curr. (doi: 10. 1371/currents.outbreaks. e1473d9bfc99d080ca242139a06c455f)
21. Cauchemez S, Epperson S, Biggerstaff M, Swerdlow D, Finelli L, Ferguson NM. 2013 Using routine surveillance data to estimate the epidemic potential of emerging zoonoses: application to the emergence of US swine origin influenza A H3N2v virus. PLoS Med. 10, e1001399. (doi: 10.1371/ journal.pmed.1001399)
22. Reluga TC, Shim E. 2014 Population viscosity suppresses disease emergence by preserving local herd immunity. Proc. R. Soc. B 281, 20141901. (doi: 10.1098/rspb.2014.1901)
23. Lloyd-Smith JO, George D, Pepin KM, Pitzer VE, Pulliam JRC, Dobson AP, Hudson PJ, Grenfell BT. 2009 Epidemic dynamics at the human-animal interface. Science 326, 1362–1367. (doi: 10.1126/ science.1177345)
24. Allen LJS, Brown VL, Jonsson CB, Klein SL, Laverty SM, Magwedere K, Owen JC, van den Driessche P. 2012 Mathematical modeling of viral zoonoses in wildlife. Nat. Resour. Model. 25, 5–51. (doi: 10. 1111/j.1939-7445.2011.00104.x)
25. Singh S, Schneider DJ, Myers CR. 2014 Using multitype branching processes to quantify statistics of disease outbreaks in zoonotic epidemics. Phys. Rev. E 89, 1–14. (doi: 10.1103/PhysRevE.89.032702)
26. Kucharski AJ, Edmunds WJ. 2015 Characterizing the transmission potential of zoonotic infections from minor outbreaks. PLoS Comput. Biol. 11, e1004154. (doi: 10.1371/journal.pcbi.1004154)
27. Lo Iacono G et al. 2016 A unified framework for the infection dynamics of zoonotic spillover and spread. PLoS Negl. Trop. Dis. 10, e0004957. (doi: 10.1371/ journal.pntd.0004957)
28. Wood JLN et al. 2012 A framework for the study of zoonotic disease emergence and its drivers: spillover of bat pathogens as a case study. Phil. Trans. R. Soc. B 367, 2881–2892. (doi: 10.1098/rstb.2012.0228)
29. Altizer S, Ostfeld RS, Johnson PTJ, Kutz S, Harvell CD. 2013 Climate change and infectious diseases: from evidence to a predictive framework. Science 341, 514–519. (doi: 10.1126/science.1239401)
30. Brown JH, Maurer BA. 1989 Macroecology: the division of food and space among species on continents. Science 243, 1145–1150. (doi: 10.1126/ science.243.4895.1145)
31. Gaston KJ. 2000 Pattern and process in macroecology. Malden, MA: Blackwell Science Ltd.
32. Keith SA et al. 2012 What is macroecology? Biol. Lett. 8, 904–906. (doi: 10.1098/rsbl.2012.0672)
33. Pimm SL, Jenkins CN, Abell R, Brooks TM, Gittleman JL, Joppa LN, Raven PH, Roberts CM, Sexton JO. 2014 The biodiversity of species and their rates of extinction, distribution, and protection. Science 344, 1246752. (doi: 10.1126/science.1246752)
34. Pacifici M et al. 2015 Assessing species vulnerability to climate change. Nat. Clim. Change 5, 215–224. (doi: 10.1038/nclimate2448)
35. Sakamoto M, Benton MJ, Venditti C. 2016 Dinosaurs in decline tens of millions of years before their final extinction. Proc. Natl Acad. Sci. USA 113, 5036-5040. (doi: 10.1073/pnas.1521478113)
36. Altizer S et al. 2003 Social organization and parasite risk in mammals: integrating theory and empirical studies. Annu. Rev. Ecol. Evol. Syst. 34, 517–547. (doi: 10.1146/annurev.ecolsys.34.030102.151725)
37. Kamiya T, O’Dwyer K, Nakagawa S, Poulin R. 2014 What determines species richness of parasitic organisms? A meta-analysis across animal, plant and fungal hosts. Biol. Rev. 89, 123–134. (doi: 10. 1111/brv.12046)
38. Guernier V, Hochberg ME, Guégan J-F. 2004 Ecology drives the worldwide distribution of human diseases. PLoS Biol. 2, e141. (doi: 10.1371/journal. pbio.0020141)
39. Just MG, Norton JF, Traud AL, Antonelli T, Poteate AS, Backus GA, Snyder-Beattie A, Sanders RW, Dunn RR. 2014 Global biogeographic regions in a humandominated world: the case of human diseases. Ecosphere 5, art143. (doi: 10.1890/ES14-00201.1)
40. Dunn RR, Davies TJ, Harris NC, Gavin MC. 2010 Global drivers of human pathogen richness and prevalence. Proc. R. Soc. B 277, 2587–2595. (doi: 10.1098/rspb.2010.0340)
41. Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, Gittleman JL, Daszak P. 2008 Global trends in emerging infectious diseases. Nature 451, 990-993. (doi: 10.1038/nature06536)
42. Luis AD et al. 2013 A comparison of bats and rodents as reservoirs of zoonotic viruses: are bats special? Proc. R. Soc. B 280, 20122753. (doi: 10. 1098/rspb.2012.2753)
43. Olival KJ, Weekley CC, Daszak P. 2015 Are bats really ‘special’ as viral reservoirs? What we know and need to know. In Bats and viruses (eds L-F Wang, C Cowled), pp. 281–294. Hoboken, NJ: John Wiley & Sons, Inc. (doi: 10.1002/9781118818824.ch11)
44. Cooper N, Griffin R, Franz M, Omotayo M, Nunn CL. 2012 Phylogenetic host specificity and understanding parasite sharing in primates. Ecol. Lett. 15, 1370–1377. (doi: 10.1111/j.1461-0248. 2012.01858.x)
45. Han BA, Schmidt JP, Bowden SE, Drake JM. 2015 Rodent reservoirs of future zoonotic diseases. Proc. Natl Acad. Sci. USA 112, 7039–7044. (doi: 10.1073/ pnas.1501598112)
46. Brierley L, Vonhof MJ, Olival KJ, Daszak P, Jones KE. 2016 Quantifying global drivers of zoonotic bat viruses: a process-based perspective. Am. Nat. 187, E53–E64. (doi: 10.1086/684391)
47. Pavlovskii EN. 1963 Human diseases with natural foci. Moscow, Russia: Foreign Languages Publishing House.
48. Snow J. 1855 On the mode of communication of cholera. London, UK: John Churchill.
49. Fichet-Calvet E, Rogers DJ. 2009 Risk maps of Lassa fever in West Africa. PLoS Negl. Trop. Dis. 3, e388. (doi: 10.1371/journal.pntd.0000388)
50. Peterson AT, Bauer JT, Mills JN. 2004 Ecologic and geographic distribution of filovirus disease. Emerg. Infect. Dis. 10, 40–47. (doi: 10.3201/eid1001. 030125)
51. Messina JP, Brady OJ, Pigott DM, Golding N, Kraemer MUG, Scott TW, Wint GRW, Smith DL, Hay SI. 2015 The many projected futures of dengue. Nat. Rev. Microbiol. 13, 230–239. (doi: 10.1038/ nrmicro3430)
52. Phillips SJ, Anderson RP, Schapire RE. 2006 Maximum entropy modeling of species geographic distributions. Ecol. Modell. 190, 231–259. (doi: 10. 1016/j.ecolmodel.2005.03.026)
53. Elith J et al. 2006 Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29, 129–151. (doi: 10.1111/j.2006.0906-7590.04596.x)
54. Redding DW, Moses LM, Cunningham AA, Wood J, Jones KE. 2016 Environmental-mechanistic modelling of the impact of global change on human zoonotic disease emergence: a case study of Lassa fever. Methods Ecol. Evol. 7, 646–655. (doi: 10.1111/2041-210X.12549)
55. Redding DW, Tiedt S, Lo Iacono G, Bett B, Jones KE. 2017 Spatial, seasonal and climatic predictive models of Rift Valley fever disease across Africa. Phil. Trans. R. Soc. B 372, 20160165. (doi: 10.1098/ rstb.2016.0165)
56. Blackburn TM, Pysek P, Bacher S, Carlton JT, Duncan RP, Jarosík V, Wilson JRU, Richardson DM. 2011 A proposed unified framework for biological invasions. Trends Ecol. Evol. 26, 333–339. (doi: 10.1016/j.tree. 2011.03.023)
57. Catley A, Alders RG, Wood JLN. 2012 Participatory epidemiology: approaches, methods, experiences. Vet. J. 191, 151–160. (doi: 10.1016/j.tvjl.2011. 03.010)
58. Catley A. 1999 Methods on the move: a review of the veterinary uses of participatory approaches and methods focussing on experiences in dryland Africa. London, UK: IIED.
59. Catley A. 2005 Participatory epidemiology: a guide for trainers. Nairobi, Kenya: African Union/ Interafrican Bureau for Animal Resources.
60. Whyte SR. 1989 Anthropological approaches to African misfortune. From religion to medicine. In Culture, experience and pluralism: essays on African ideas of illness and healing (eds A Jacobson-Widding, D Westerlund), pp. 289–301. Uppsala, Sweden: Acta Universitatis Upsaliensis (Upsala Studies in Cultural Anthropology).
61. Grant C, Lo Iacono G, Dzingirai V, Bett B, Winnebah TRA, Atkinson PM. 2016 Moving interdisciplinary science forward: integrating participatory modelling with mathematical modelling of zoonotic disease in Africa. Infect. Dis. Poverty 5, 17. (doi: 10.1186/ s40249-016-0110-4)
62. Bett B, Jost C, Allport R, Mariner J. 2009 Using participatory epidemiological techniques to estimate the relative incidence and impact on livelihoods of livestock diseases amongst nomadic pastoralists in Turkana South District, Kenya. Prev. Vet. Med. 90, 194–203. (doi: 10.1016/j.prevetmed.2009.05.001)
63. Jost CC, Mariner JC, Roeder PL, Sawitri E, Macgregor-Skinner GJ. 2007 Participatory epidemiology in disease surveillance and research. Rev. Sci. Tech. 26, 537–549. (doi: 10. 20506/rst.26.3.1765)
64. Dzingirai V et al. 2016 Zoonotic diseases: who gets sick, and why? Explorations from Africa. Crit. Public Health 27, 97–110. (doi: 10.1080/09581596.2016. 1187260)
65. Catley A, Mariner JC. 2002 Where there is no data: participatory approaches to veterinary epidemiology in pastoral areas of the horn of Africa. London, UK: International Institute for Environment and Development.
66. Catley A, Okoth S, Osman J, Fison T, Njiru Z, Mwangi J, Jones B, Leyland T. 2001 Participatory diagnosis of a chronic wasting disease in cattle in southern Sudan. Prev. Vet. Med. 51, 161–181. (doi: 10.1016/ S0167-5877 (01) 00240-9)
67. Catley A, Irungu P, Simiyu K, Dadye J, Mwakio W, Kiragu J, Nyamwaro SO. 2002 Participatory investigations of bovine trypanosomiasis in Tana River District, Kenya. Med. Vet. Entomol. 16, 55–66. (doi: 10.1046/j.0269-283x.2002.00346.x)
68. Shiferaw TJ, Moses K, Manyahilishal KE. 2010 Participatory appraisal of foot and mouth disease in the Afar pastoral area, northeast Ethiopia: implications for understanding disease ecology and control strategy. Trop. Anim. Health Prod. 42, 193–201. (doi: 10.1007/s11250-009-9405-9)
69. Swai ES, Neselle MO. 2010 Using participatory epidemiology tools to investigate Contagious Caprine Pleuropneumonia (CCPP) in Maasai Flocks, Northern Tanzania. Int. J. Anim. Vet. Adv. 2, 141–147.
70. Mariner JC, Roeder PL. 2003 Use of participatory epidemiology in studies of the persistence of lineage 2 rinderpest virus in East Africa. Vet. Rec. 152, 641–647. (doi: 10.1136/vr.152.21.641)
71. Mariner JC, McDermott J, Heesterbeek JAP, Catley A, Roeder P. 2005 A model of lineage-1 and lineage-2 rinderpest virus transmission in pastoral areas of East Africa. Prev. Vet. Med. 69, 245–263. (doi: 10. 1016/j.prevetmed.2005.02.001)
72. Kitching RP, Thrusfield MV, Taylor NM. 2006 Use and abuse of mathematical models: an illustration from the 2001 foot and mouth disease epidemic in the United Kingdom. Rev. Sci. Tech. 25, 293–311. (doi: 10.20506/rst.25.1.1665)
73. Bickerstaff K, Simmons P, Pidgeon N. 2006 Situating local experience of risk: peripherality, marginality and place identity in the UK foot and mouth disease crisis. Geoforum 37, 844–858. (doi: 10. 1016/j.geoforum.2005.11.004)
74. Leach M, Scoones I, Stirling A. 2010 Governing epidemics in an age of complexity: narratives, politics and pathways to sustainability. Glob. Environ. Change 20, 369–377. (doi: 10.1016/j. gloenvcha.2009.11.008)
75. Stirling AC, Scoones I. 2009 From risk assessment to knowledge mapping: science, precaution and participation in disease ecology. Ecol. Soc. 14, 2. (doi: 10.5751/ES-02980-140214)
76. Green LE, Medley GF. 2002 Mathematical modelling of the foot and mouth disease epidemic of 2001: strengths and weaknesses. Res. Vet. Sci. 73, 201–205. (doi: 10.1016/S0034-5288 (02) 00106-6)
77. Manlove KR et al. 2016 ‘One Health’ or three? Publication silos among the One Health disciplines. PLoS Biol. 14, e1002448. (doi: 10.1371/journal.pbio. 1002448)
78. Galaz V, Leach M, Scoones I, Stein C. 2015 The political economy of One Health research and policy, STEPS Working Paper 81. Brighton, UK: STEPS Centre.
79. Leach M, Scoones I. 2013 The social and political lives of zoonotic disease models: narratives, science and policy. Soc. Sci. Med. 88, 10–17. (doi: 10.1016/ j.socscimed.2013.03.017)
80. Christley RM, Mort M, Wynne B, Wastling JM, Heathwaite AL, Pickup R, Austin Z, Latham SM. 2013 Wrong, but useful: negotiating uncertainty in infectious disease modelling. PLoS ONE 8, e76277. (doi: 10.1371/journal.pone.0076277)
81. Alexander KA, Lewis BL, Marathe M, Eubank S, Blackburn JK. 2012 Modeling of wildlife-associated zoonoses: applications and caveats. Vector Borne Zoonotic Dis. 12, 1005–1018. (doi: 10.1089/vbz. 2012.0987)
82. Brooker S, Clements ACA. 2009 Spatial heterogeneity of parasite co-infection: determinants and geostatistical prediction at regional scales. Int. J. Parasitol. 39, 591–597. (doi: 10.1016/j.ijpara.2008.10.014)
83. Broeck WV, Gioannini C, Goncalves B, Quaggiotto M, Colizza V, Vespignani A. 2011 The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale. BMC Infect. Dis. 11, 37. (doi: 10.1186/ 1471-2334-11-37)
84. Hudson PJ, Rizzoli A, Grenfell BT, Heesterbeek H, Dobson AP (eds). 2002 The ecology of wildlife diseases. Oxford, UK: Oxford University Press.
85. Eisinger D, Thulke H-H. 2008 Spatial pattern formation facilitates eradication of infectious diseases. J. Appl. Ecol. 45, 415–423. (doi: 10.1111/j. 1365-2664.2007.01439.x)
86. Naish S et al. 2014 Climate change and dengue: a critical and systematic review of quantitative modelling approaches. BMC Infect. Dis. 14, 167. (doi: 10.1186/1471-2334-14-167)
87. Hawkes AG. 1971 Spectra of some self-exciting and mutually exciting point processes. Biometrika 58, 83. (doi: 10.2307/2334319)
88. Hawkes AG, Oakes D. 1974 A cluster process representation of a self-exciting process. J. Appl. Probab. 11, 493. (doi: 10.2307/3212693)
89. Meltzer M, Charisma Y, Santibanez S, Barbara K, Peterson BW, Ervin ED, Nichol ST, Damon IK, Washington ML. 2014 Estimating the future number of cases in the Ebola epidemic—Liberia and Sierra Leone, 2014–2015. Morb. Mortal. Wkly Rep. 63, 1–14. (doi: 10.15620/cdc.24900)
90. WHO. 2014 Statement on the 1st meeting of the IHR Emergency Committee on the 2014 Ebola outbreak in West Africa. See http://www.who.int/mediacentre/ news/statements/2014/ebola-20140808/en/.
91. Chowell G, Simonsen L, Viboud C, Kuang Y. 2014 Is West Africa approaching a catastrophic phase or is the 2014 Ebola epidemic slowing down? Different models yield different answers for Liberia. PLoS Curr. Outbreaks. (doi: 10.1371/currents.outbreaks. b4690859d91684da963dc40e00f3da81)
92. Yasmin S. 2014 Ebola infections fewer than predicted by disease models. Sci. Am. See http://www. scientificamerican.com/article/ebola-infections-fewerthan-predicted-by-disease-models/.
93. Rivers C, Lofgren E, Marathe M, Eubank S, Lewis B. 2014 Modeling the impact of interventions on an epidemic of Ebola in Sierra Leone and Liberia. PLoS Curr. (doi: 10.1371/currents.outbreaks.4d41fe5d6c 05e9df30ddce33c66d084c)
94. Towers S, Patterson-Lomba O, Castillo-Chavez C. 2014 Temporal variations in the effective reproduction number of the 2014 West Africa Ebola outbreak. PLoS Curr. (doi: 10.1371/currents. outbreaks.9e4c4294ec8ce1adad283172b16bc908)
95. Gomes MFC, Pastorey Piontti A, Rossi L, Chao D, Longini I, Halloran ME, Vespignani A. 2014 Assessing the international spreading risk associated with the 2014 West African Ebola outbreak. PLoS Curr. (doi: 10.1371/currents.outbreaks.cd818f63d 40e24aef769dda7df9e0da5)
96. Merler S et al. 2015 Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions: a computational modelling analysis. Lancet Infect. Dis. 15, 204–211. (doi: 10.1016/ S1473-3099 (14) 71074-6)
97. Carroll MW et al. 2015 Temporal and spatial analysis of the 2014–2015 Ebola virus outbreak in West Africa. Nature 524, 97–101. (doi: 10.1038/ nature14594)
98. Gire SK et al. 2014 Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak. Science 345, 1369–1372. (doi: 10.1126/ science.1259657)
99. Kiskowski MA. 2014 A three-scale network model for the early growth dynamics of 2014 West Africa Ebola epidemic. PLoS Curr. Outbreaks. (doi: 10.1371/ currents.outbreaks.c6efe8274dc55274f05cbcb62b be6070.Abstract)
100. Richards P. 2016 Ebola how a people’s science helped end an epidemic. London, UK: Zed Books.
101. Abramowitz SA, McLean KE, McKune SL, Bardosh KL, Fallah M, Monger J, Tehoungue K, Omidian PA. 2015 Community-centered responses to Ebola in urban Liberia: the view from below. PLoS Negl. Trop. Dis. 9, e0003706. (doi: 10.1371/journal.pntd. 0003706)
102. WHO. 2016 Sierra Leone: a traditional healer and a funeral. See http://www.who.int/csr/disease/ebola/ ebola-6-months/sierra-leone/en/.
103. Osterholm MT et al. 2015 Transmission of Ebola viruses: what we know and what we do not know: Table 1. MBio 6, e00137-15. (doi: 10.1128/mBio. 00137-15)
104. Richards P, Mokuwa A. 2014 Village funerals and the spread of ebola virus disease. Cultural Anthropology. See https://culanth.org/fieldsights/ 590-village-funerals-and-the-spread-of-ebola-virusdisease.
105. Pellecchia U et al. 2015 Social consequences of Ebola containment measures in Liberia. PLoS ONE 10, e0143036. (doi: 10.1371/journal.pone.0143036)
106. Hewlett B, Hewlett B. 2008 Ebola, culture and politics: the anthropology of an emerging disease (Case studies on contemporary social issues). Belmont, CA: Thomson Higher Education.
107. Anoko JN. 2014 Communication with rebellious communities during an outbreak of Ebola virus disease in Guinea: an anthropological approach. See http://www.ebola-anthropology.net/case_studies/ communication-with-rebellious-communitiesduring-an-outbreak-of-ebola-virus-disease-inguinea-an-anthropological-approach/.
108. Ferme MC. 2001 The underneath of things: violence, history, and the everyday in Sierra Leone. Berkeley, CA: University of California Press.
109. Richards P et al. 2015 Social pathways for Ebola virus disease in rural Sierra Leone, and some implications for containment. PLoS Negl. Trop. Dis. 9, e0003567. (doi: 10.1371/journal.pntd.0003567)
110. Shaffer JG et al. 2014 Lassa fever in post-conflict Sierra Leone. PLoS Negl. Trop. Dis. 8, e2748. (doi: 10. 1371/journal.pntd.0002748)
111. Leach M et al. 2017 Local disease–ecosystem-livelihood dynamics: reflections from comparative case studies in Africa. Phil. Trans. R. Soc. B 372, 20160163. (doi: 10.1098/rstb.2016.0163)
112. US CDC. 2015 Review of human-to-human transmission of Ebola virus. See. https://www.cdc.gov/vhf/ebola/ transmission/human-transmission.html.
113. Kucharski AJ, Camacho A, Flasche S, Glover RE, Edmunds WJ, Funk S. 2015 Measuring the impact of Ebola control measures in Sierra Leone. Proc. Natl Acad. Sci. USA 112, 14366–14371. (doi: 10.1073/ pnas.1508814112)
114. Leach M. 2015 The Ebola crisis and post-2015 development. J. Int. Dev. 27, 816–834. (doi: 10. 1002/jid.3112)
115. Wilkinson A, Leach M. 2015 Briefing: Ebola-myths, realities, and structural violence. Afr. Aff. (Lond.) 114, 136–148. (doi: 10.1093/afraf/adu080)
116. Leach M, Fairhead J. 1996 Misreading the African landscape: society and ecology in a forestsavanna mosaic. Cambridge, UK: Cambridge University Press.
117. Wilkinson A. 2017 Emerging disease or emerging diagnosis? Lassa fever and Ebola in West Africa. Anthropol. Q. 90, 375–404.
118. Waltner-Toews D. 2017 Zoonoses, One Health and complexity: wicked problems and constructive conflict. Phil. Trans. R. Soc. B 372, 20160171. (doi: 10.1098/rstb.2016.0171)
119. Stirling A. 2010 Keep it complex. Nature 468, 1029–1031. (doi: 10.1038/4681029a)