“One Health” or Three? Publication Silos Among the One Health Disciplines

PLoS Biology

Volumn 14, Issue 4, 2016, Pages

  Manlove, Kezia R ^a   Walker, Josephine G ^b   Craft, Meggan E ^c   Huyvaert, Kathryn P ^d   Joseph, Maxwell B ^e   Miller, Ryan S ^f   Nol, Pauline ^g   Patyk, Kelly A ^f   O’Brien, Daniel ^h   Walsh, Daniel P ⁱ   Cross, Paul C ^j  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

^c UNIVERSITY OF MINNESOTA   (United States)

^d Department of Environmental and Radiological Health Sciences   (United States)

^e UNIVERSITY OF COLORADO   (United States)

^f UNITED STATES DEPARTMENT OF AGRICULTURE   (United States)

^g NATIONAL WILDLIFE RESEARCH CENTER   (United States)

^h MICHIGAN DEPARTMENT OF NATURAL RESOURCES   (United States)

ⁱ NATIONAL WILDLIFE HEALTH CENTER   (United States)

^j U S GEOLOGICAL SURVEY   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DISEASE TRANSMISSION; ENVIRONMENTAL HEALTH; GROWTH RATE; HEALTH PROMOTION; INFECTION; INFORMATION DISSEMINATION; INTERDISCIPLINARY RESEARCH; MEDICAL RESEARCH; METHODOLOGY; PUBLICATION; QUANTITATIVE ANALYSIS; SOCIAL NETWORK; VETERINARIAN; COOPERATION; PUBLISHING;

COOPERATIVE BEHAVIOR; PUBLISHING;

EID: 84964856997     PISSN: 15449173     EISSN: 15457885     Source Type: Journal    
DOI: 10.1371/journal.pbio.1002448     Document Type: Article

References (32)

1. Hooker LC, Mayes C, Degeling C, Gilbert GL, Kerridge IH, Don’t be scared, be angry: the politics and ethics of Ebola. Med J Australia. 2014; 201(6): 352–354. 25222463
2. Knight-Jones TJD, Rushton J, The economic impacts of foot and mouth disease—What are they, how big are they and where do they occur?Prev Vet Med. 2013; 112: 161–173. doi: 10.1016/j.prevetmed.2013.07.01323958457
3. Perrings C, Castillo-Chavez C, Chowell G, Daszak P, Penichel EP, Finnoff D, et al. Merging economics and epidemiology to improve the prediction and management of infectious disease. EcoHealth. 2014; 11: 464–475. doi: 10.1007/s10393-014-0963-625233829
4. Rohr JR, Raffel TR, Romansic JM, McCallum H, Hudson PJ, Evaluating the links between climate, disease spread, and amphibian declines. Proc Natl Acad Sci USA. 2008; 105(45): 17436–17441. doi: 10.1073/pnas.080636810518987318
5. Frick WF, Pollock JF, Hicks AC, Langwig KE, Reynolds DS, Turner GG, et al. An emerging disease causes regional collapse of a common North American bat species. Science. 2010; 329: 679–682. doi: 10.1126/science.118859420689016
6. Cox-Foster D, Conlan S, Holmes EC, Palacios G, Evans JD, Moran NA, et al. A metagenomic survey of microbes in honey bee colony collapse disorder. Science. 2007; 318(5848): 283–287. 17823314
7. Plowright RK, Sokolow SH, Gorman ME, Daszak P, Foley JE, Causal inference in disease ecology: Investigating the drivers of disease emergence. Front Ecol Environ. 2008; 6(8): 420–429.
8. Ezenwa VO, Prieur-Richard AH, Roche B, Bailly X, Becquart P, Garcia-Pena GE, et al. Interdisciplinarity and infectious diseases: An ebola case study. PLoS Pathog. 2015; 11(8): e1004992. doi: 10.1371/journal.ppat.100499226247831
9. Penders B, Horstman K, Vos R, Walking the line between lab and computation: The “moist” zone. Bioscience. 2008; 58(8): 748–755.
10. Atlas RM, Maloy S, One Health: People, Animals, and the Environment. Herndon VA: ASM Press; 2014.
11. Evans BR, Leighton FA, A history of One Health. Rev Sci Tech Off Int Epiz. 2014; 33(2): 413–420.
12. Allen-Scott LK, Buntain B, Hatfield JM, Meisser A, Thoman CJ, Academic institutions and One Health: Building capacity for transdisciplinary research approaches to address complex health issues at the animal-human-ecosystem interface. Acad Med. 2015; 90(7): 866–871. doi: 10.1097/ACM.000000000000063925650827
13. Lloyd-Smith JO, George D, Pepin KM, Pitzer VE, Pulliam JRC, Dobson AP, et al. Epidemic dynamics at the human-animal interface. Science. 2009; 326: 1362–1367. doi: 10.1126/science.117734519965751
14. Joseph MB, Mihaljevic JR, Arellano AL, Kueneman JG, Preston DL, Cross PC, et al. Taming wildlife disease: bridging the gap between science and management. J Appl Ecol. 2013; 50: 702–712.
15. Pons P, Latapy M, Computing communities in large networks using random walks. Computer and information sciences—ISCIS 2005 Proceedings (Lecture notes in computer science). 2005; 3733: 284–293.
16. Pautasso M, Publication growth in biological sub-fields: Patterns, predictability and sustainability. Sustainability. 2012; 4(12): 3234–3247.
17. Bornmann L, Mutz R, Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references. J Assoc Inf Syst. 2015; 6(11): 2215–2222.
18. Van Raan AFJ, On growth, ageing, and fractal differentiation of science. Scientometrics. 2000; 47(2): 347–32.
19. Roy ED, Morsillo AT, Seijo F, Reddy SMW, Rhemtulla JM, Milder JC, et al. The elusive pursuit of interdisciplinarity at the human-environment interface. Bioscience. 2013; 63(9): 745–753.
20. Lau L, Pasquini M, ‘Jack of all trades’? The negotiation of interdisciplinarity within geography. Geoforum. 2008; 39: 552–560.
21. Holley K, The challenge of an interdisciplinary curriculum: a cultural analysis of a doctoral-degree program in neuroscience. High Educ. 2009; 58: 241–255.
22. Newswander LK, Borrego M, Engagement in two interdisciplinary graduate programs. High Educ. 2009; 58(4): 551–562.
23. Graybill JK, Dooling S, Shandas V, Withey J, Greve A, Simon GL, A rough guide to interdisciplinarity: Graduate student perspectives. BioScience. 2006; 56(9): 757–763.
24. Brint SG, Turk-Bicakci L, Proctor K, Murphy SP, Expanding the social frame of knowledge: Interdisciplinary, degree-granting fields in American colleges and universities, 1975–2000. The Review of High Educ.2009; 32(2): 155–183.
25. Leahey E, Not by productivity alone: How visibility and specialization contribute to academic earnings. Am Sociol Rev. 2007; 72(4): 33–561.
26. Basner JE, Theisz KI, Jensen US, Jones CD, Ponomarev I, Sulima P, et al. Measuring the evolution and output of cross-disciplinary collaborations within the NCI Physical sciences—Oncology Centers network. Res Evaluat. 2013; 22: 285–297.
27. Hall KL, Stokols D, Stipelman BA, Vogel AL, Feng A, Masimore B, et al. Assessing the value of Team Science: A study comparing center and investigator-initiated grants. Am J Med. 2012; 42(2): 157–163.
28. Bishop PR, Huck SW, Ownley BH, Richards JK, Skolits GJ, Impacts of an interdisciplinary research center on participant publication and collaboration patterns: A case study of the National Institute for Mathematical and Biological Synthesis. Res Evaluat. 2014; 23: 32–340.
29. Toni T, Welch D, Strelkowa N, Ipsen A, Stumpf M, Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems. J R Soc Interface. 2009; 6: 187–202. 19205079
30. He D, Ionides EL, King AA, Plug-and-play inference for disease dynamics: measles in large and small populations as a case study. J R Soc Interface. 2010; 7: 271–283. doi: 10.1098/rsif.2009.015119535416
31. Xu J, Ding Y, Malic V, Author credit for transdisciplinary collaboration. PLoS ONE. 2015; 10(9): e0137968doi: 10.1371/journal.pone.013796826375678
32. Moher D, Liberati A, Tetzlaff J, Altmann DG, The PRISMA GroupPreferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009; 6(7): e1000097. doi: 10.1371/journal.pmed.100009719621072