Human health sciences: Multidisciplinary, general & others
Author, co-author :
Antoine-Moussiaux, Nicolas ; Université de Liège - ULiège > Dpt. de gestion vétérinaire des Ressources Animales (DRA) > Biostatistique, économie, sélection animale
Vandenberg, O.; Research Centre on Environmental and Occupational Health, School of Public Health - Université Libre de Bruxelles, Brussels, Belgium, Division of Infection and Immunity, Faculty of Medical Sciences - University College London, London, United Kingdom
Kozlakidis, Z.; Division of Infection and Immunity, Faculty of Medical Sciences - University College London, London, United Kingdom, International Agency for Research on Cancer (IARC/WHO), Lyon, France
Aenishaenslin, C.; Groupe de Recherche en épidémiologie des Zoonoses et Santé Publique, Faculté de Médecine Vétérinaire, Université de Montréal, Montreal, QC, Canada, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
Peyre, M.; ASTRE, Univ. Montpellier, CIRAD, Inra, Montpellier, France
Roche, M.; TETIS, Univ. Montpellier, AgroParisTech, CIRAD, CNRS, Irstea, Montpellier, France, Department Environments and Societies, CIRAD, Montpellier, France
Bonnet, Pascal
Ravel, A.; Groupe de Recherche en épidémiologie des Zoonoses et Santé Publique, Faculté de Médecine Vétérinaire, Université de Montréal, Montreal, QC, Canada
Language :
English
Title :
Valuing health surveillance as an information system: Interdisciplinary insights
Häsler B, Howe KS, Stärk KDC. Conceptualising the technical relationship of animal disease surveillance to intervention and mitigation as a basis for economic analysis. BMC Health Serv Res. (2011) 11:225. doi: 10.1186/1472-6963-11-225
Howe KS, Häsler B, Stärk KDC. Economic principles for resource allocation decisions at national level to mitigate the effects of disease in farm animal populations. Epidemiol Infect. (2012) 141:91-101. doi: 10.1017/S095026881200060X
Assmuth T, Hildén M, Benighaus C. Integrated risk assessment and risk governance as socio-political phenomena: a synthetic view of the challenges. Sci Total Environ. (2009) 408:3943-53. doi: 10.1016/j.scitotenv.2009.11.034
Stärk KDC, Häsler B. The value of information: current challenges in surveillance implementation. Prev Vet Med. (2015) 122:229-34. doi: 10.1016/j.prevetmed.2015.05.002
Scharff RL, Besser J, Sharp DJ, Jones TF, Gerner-Smidt P, Hedberg CW. An economic evaluation of PulseNet, a network for foodborne disease surveillance. Am J Prev Med. (2016) 50:S66-73. doi: 10.1016/j.amepre.2015.09.018
Calba C, Goutard FL, Hoinville L, Hendrikx P, Lindberg A, Saegerman C, et al. Surveillance systems evaluation: a systematic review of the existing approaches. BMC Public Health. (2015) 15:448. doi: 10.1186/s12889-015-1791-5
Babo Martins S, Rushton J, Stärk KDC. Economic assessment of zoonoses surveillance in a 'One Health' context: a conceptual framework. Zoonoses Public Health. (2016) 63:386-95. doi: 10.1111/zph.12239
Yokota F, Thompson KM. Value of information literature analysis: a review of applications in health risk management. Med Decis Making. (2004) 24:287-98. doi: 10.1177/0272989X04263157
Shapiro C, Varian HR. Information Rules: A Strategic Guide to the Network Economy. Boston, MA: Harvard Business Press (1999). p. 339.
Delen D, Demirkan H. Data, information and analytics as services. Decis Support Syst. (2013) 55:359-63. doi: 10.1016/j.dss.2012.05.044
Paschek D, Mocan A, Dufour CM, Draghici A. Organizational knowledge management with Big Data. The foundation of using artificial intelligence. In: Kifor CV, editor. Balkan Region Conference on Engineering and Business Education. (2017). p. 301-8.
Assmuth T, Hildén M. The significance of information frameworks in integrated risk assessment and management. Env Sci Pol. (2008) 11:71-86. doi: 10.1016/j.envsci.2007.07.006
Le Moigne JL, Sibley EH. Information - organization - decision: some strange loops. Inf Manag. (1986) 11:237-44. doi: 10.1016/0378-7206(86)90044-3
European Centre for Disease Prevention and Control. (2014). Data Quality Monitoring and Surveillance System Evaluation - A Handbook of Methods and Applications. Stockholm: ECDC.
Ebel ED, Williams MS, Schlosser WD. Estimating the type II error of detecting changes in foodborne illnesses via public health surveillance. Microb Risk Anal. (2017) 7:1-7. doi: 10.1016/j.mran.2017.10.001
El Allaki F, Bigras-Poulin M, Michel P, Ravel A. A population health surveillance theory. Epidemiol Health. (2012) 34:e2012007. doi: 10.4178/epih/e2012007
Baum SD. Value typology in cost-benefit analysis. Environ Val. (2012) 21:499-524. doi: 10.3197/096327112X13466893628184
Roosen J, Fadlaoui A, Bertaglia M. Economic evaluation for conservation of farm animal genetic resources. J Anim Breed Genet. (2005) 122:217-28. doi: 10.1111/j.1439-0388.2005.00530.x
Gray NJ, Klein JD, Noyce PR, Sesselberg TS, Cantrill JA. Health information-seeking behaviour in adolescence: the place of the internet. Soc Sci Med. (2005) 60:1467-78. doi: 10.1016/j.socscimed.2004.08.010
Davies K. The information-seeking behaviour of doctors: a review of the evidence. Health Info Libr J. (2007) 24:78-94. doi: 10.1111/j.1471-1842.2007.00713.x
Anker AE, Reinhart AM, Feeley TH. Health information seeking: a review of measures and methods. Patient Educ Couns. (2011) 82:346-54. doi: 10.1016/j.pec.2010.12.008
Manierre MJ. Gaps in knowledge: tracking and explaining gender differences in health information seeking. Soc Sci Med. (2015) 128:151e158. doi: 10.1016/j.socscimed.2015.01.028
Johnson JD. Health-related information seeking: is it worth it? Inf Process Manag. (2014) 50:708-17. doi: 10.1016/j.ipm.2014.06.001
Delabouglise A, Antoine-Moussiaux N, Phan TD, Dao DC, Nguyen TT, Truong BD, et al. The perceived value of passive animal health surveillance: the case of highly pathogenic avian influenza in Vietnam. Zoonoses Public Health. (2016) 63:112-28. doi: 10.1111/zph.12212
Colson P, Rolain JM, Abat C, Charrel R, Fournier PE, Raoult D. EPIMIC: a simple homemade computer program for real-time epidemiological surveillance and alert based on microbiological data. PLoS ONE. (2015) 10:e0144178. doi: 10.1371/journal.pone.0144178
Rojo-Gimeno C, Fievez V, Wauters E. The economic value of information provided by milk biomarkers under different scenarios: case-study of an ex-ante analysis of fat-to-protein ratio and fatty acid profile to detect subacute ruminal acidosis in dairy cows. Livest Sci. (2018) 211:30-41. doi: 10.1016/j.livsci.2018.02.001
Hoinville LJ, Alban L, Drewe JA, Gibbens JC, Gustafson L, Häsler B, et al. Proposed terms and concepts for describing and evaluating animal-health surveillance systems. Prev Vet Med. (2013) 112:1-12. doi: 10.1016/j.prevetmed.2013.06.006
May L, Chrétien JP, Pavlin JA. Beyond traditional surveillance: applying syndromic surveillance to developing settings - opportunities and challenges. BMC Public Health. (2009) 9:242. doi: 10.1186/1471-2458-9-242
Dórea FC, Sanchez J, Revie CW. Veterinary syndromic surveillance: current initiatives and potential for development. Prev Vet Med. (2011) 101:1-17. doi: 10.1016/j.prevetmed.2011.05.004
Lateef F. Syndromic surveillance: a necessary public health tool. J Acute Dis. (2012) 1:90-3. doi: 10.1016/S2221-6189(13)60022-0
Hiller KM, Stoneking L, Min A, Rhodes SM. Syndromic surveillance for influenza in the emergency department-a systematic review. PLoS ONE. (2013) 8:e73832. doi: 10.1371/journal.pone.0073832
Braud A, Bringay S, Cernesson F, Dolques X, Fabrègue M, Grac C, et al. Une expérience de constitution d'un système d'information multi-sources pour l'étude de la qualité de l'eau. In: Atelier SI et Environnement - Conférence Inforsid - 21 mai 2014 (2014). pp. 15. Available online at: https://hal.inria.fr/hal-01102727 (accessed November 20, 2018).
Arsevska E, Valentin S, Rabatel J, De Goër de Hervé J., Falala S, Lancelot R, et al. Web monitoring of emerging animal infectious diseases integrated in the French Animal Health Epidemic Intelligence System. PloS ONE. (2018) 13:e0199960. doi: 10.1371/journal.pone.0199960
Barboza P, Vaillant L, Mawudeku A, Nelson NP, Hartley DM, Madoff LC, et al. Evaluation of epidemic intelligence systems integrated in the early alerting and reporting project for the detection of A/H5N1 influenza events. PLoS ONE. (2013) 8:e57252. doi: 10.1371/journal.pone.0057252
Collier N, Doan S, Kawazoe A, Goodwin RM, Conway M, Tateno Y, et al. BioCaster: detecting public health rumors with a Web-based text mining system. Bioinformatics. (2008) 24:2940-1. doi: 10.1093/bioinformatics/btn534
Freifeld C, Mandl K, Reis B, Brownstein J. Healthmap: global infectious disease monitoring through automated classification and visualization of internet media reports. J Medic Inform Assoc. (2008) 15:150-7. doi: 10.1197/jamia.M2544
Fonkwo PN. Pricing infectious disease. The economic and health implications of infectious diseases. EMBO Rep. (2008) 9:S13. doi: 10.1038/embor.2008.110
Pfaff G, Lohr D, Santibanez S, Mankertz A, van Treeck U, Schönberger K, et al. Spotlight on measles 2010: measles outbreak among travellers returning from a mass gathering, Germany, September to October 2010. Eurosurveillance. (2010) 15:19750.
Khan K, Arino J, Hu W, Raposo P, Sears J, Calderon F, et al. Spread of a novel influenza A (H1N1) virus via global airline transportation. New Engl J Med. (2009) 361:212-4. doi: 10.1056/NEJMc0904559
Einav L, Levin J. Economics in the age of big data. Science. (2014) 346:1243089. doi: 10.1126/science.1243089
Magno R, De Filippis T, Di Giuseppe E, Pasqui M, Rocchi L, Gozzini B. Semi-automatic operational service for drought monitoring and forecasting in the Tuscany region. Geosciences. (2018) 8:49. doi: 10.3390/geosciences8020049
Shukla M, Tiwari MK. Big-data analytics framework for incorporating smallholders in sustainable palm oil production. Prod Plan Control. (2017) 28:1365. doi: 10.1080/09537287.2017.1375145
Kshetri N. Big data's role in expanding access to financial services in China. Int J Inf Manag. (2016) 36:297-308. doi: 10.1016/j.ijinfomgt.2015.11.014
Delabouglise A, Dao TH, Truong DB, Nguyen TT, Nguyen NT, Duboz R, et al. When private actors matter: information-sharing network and surveillance of Highly Pathogenic Avian Influenza in Vietnam. Acta Trop. (2015) 147:38-44. doi: 10.1016/j.actatropica.2015.03.025
Bonnet P, Bedane B, Bheenick KJ, Juanes X, Girardot B, Coste C, et al. The LIMS Community and its Collaborative Livestock Information Management System for Managing Livestock Statistics and Sharing Information in the SADC Region (Southern African Development Community). Scientific and Technical Information and Rural Development IAALD XIIIth World Congress, Apr 26-29. Montpellier (2010).
Brownson RC, Chriqui JF, Stamatakis KA. Understanding evidence-based public health policy. Am J Public Health. (2009) 99:1576-83. doi: 10.2105/AJPH.2008.156224
Nyborg K, Anderies JM, Dannenberg A, Lindahl T, Schill C, Schlüter M, et al. Social norms as solutions. Science. (2016) 354:42-3. doi: 10.1126/science.aaf8317
Calba C, Goutard FL, Vanholme L, Antoine-Moussiaux N, Hendrikx P, Saegerman C. The added-value of using participatory approaches to assess the acceptability of surveillance systems: the case of bovine tuberculosis in Belgium. PLoS ONE. (2016) 11:e0159041. doi: 10.1371/journal.pone.0159041
Pham HTT, Peyre M, Trinh TQ, Nguyen OC, Vu TD, Rukkwamsuk T, et al. Application of discrete choice experiment to assess farmers' willingness to report swine diseases in the Red River Delta region, Vietnam. Prev Vet Med. (2017) 138:28-36. doi: 10.1016/j.prevetmed.2017.01.002
Yousefi Nooraie R, Khan S, Gutberg J, Baker GR. A network analysis perspective to implementation: the example of health links to promote coordinated care. Eval Health Prof. (2018). doi: 10.1177/0163278718772887 [Epub ahead of print].
Fallon C, Joris G. Entre gestion de crise et vigilance: quand les médias et l'administration publique sont appelés à construire un référentiel partagé. Comm Organ. (2009) 35:60-9. doi: 10.4000/communicationorganisation.709
Antoine-Moussiaux N, Peyre M, Bonnet P, Bebay C, Bengoumi M, Tripodi A. The value chain approach in one health: conceptual framing and focus on present applications and challenges. Front Vet Sci. (2017) 4:206. doi: 10.3389/fvets.2017.00206
Lemoisson P, Passouant M. A framework for interactive knowledge construction during the building of a Community Information System dedicated to territorial practices [Un cadre pour la construction interactive de connaissances lors de la conception d'un observatoire des pratiques territoriales]. Cahiers Agric. (2012) 21:11-7. doi: 10.1684/agr.2012.0538
Gallo-Cajiao E, Archibald C, Friedman R, Steven R, Fuller RA, Game ET, et al. Crowdfunding biodiversity conservation. Conserv Biol. (2018)32:1426-1435. doi: 10.1111/cobi.13144
Godard O. Social decision making in the context of scientific controversies: the interplay of environmental issues, technological conventions and economic stakes. Glob Environ Change. (1992) 2:239-49. doi: 10.1016/0959-3780(92)90006-S
Lyytimäki J, Assmuth T, Hildén M. Unrecognized, concealed, or forgotten - the case of absent information in risk communication. J Risk Res. (2011) 14:757-73. doi: 10.1080/13669877.2011.571773
WHO. WHO Global Strategy for Containment of Antimicrobial Resistance. WHO/CDS/CSR/DRS/2001.2. Geneva: World Health Organization. (2001). p. 99.
WHO. (2014) Antimicrobial resistance: global report on surveillance 2014. Geneva: World Health Organization. 257 p.
PHAC (Public Health Agency of Canada). The Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) Annual Report 2013. Ottawa (2016). Available online at: https://www.canada.ca/en/public-health/services/surveillance/canadian-integrated-program-antimicrobial-resistance-surveillance-cipars/cipars-2013-annual-report.html (accessed May 4, 2018).
Aenishaenslin C., Häsler B., Ravel A., Schelling E., Parmley J., Stärk K., et al. A consolidated framework to understand and measure the added value of One Health Surveillance for antimicrobial resistance based on the Canadian experience. In: Proceedings of the European Scientific Conference on Applied Infectious Disease Epidemiology. Stockholm: ECDC (2017). p. 33.
Vandenberg O, Kozlakidis Z, Schrenzel J, Struelens MJ, Breuer J. Control of infectious diseases in the era of european clinical microbiology laboratory consolidation: new challenges and opportunities for the patient and for public health surveillance. Front Med. (2018) 5:15. doi: 10.3389/fmed.2018.00015
O'Brien TF, Stelling J. Integrated multilevel surveillance of the World's infecting microbes and their resistance to antimicrobial agents. Clin Microbiol Rev. (2011) 24:281-95. doi: 10.1128/CMR.00021-10
O'Brien TF, Stelling J. The world's microbiology laboratories can be a global microbial sensor network. Biomedica. (2014) 34:9-15. doi: 10.1590/S0120-41572014000500002