A quantitative prioritisation of human and domestic animal pathogens in Europe.
A quantitative prioritisation of human and domestic animal pathogens in Europe.
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DOI:
10.1371/journal.pone.0103529
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Baylis M
中科院分区:
文献类型:
--
作者:
McIntyre KM;Setzkorn C;Hepworth PJ;Morand S;Morse AP;Baylis M
Disease or pathogen risk prioritisations aid understanding of infectious agent impact within surveillance or mitigation and biosecurity work, but take significant development. Previous work has shown the H-(Hirsch-)index as an alternative proxy. We present a weighted risk analysis describing infectious pathogen impact for human health (human pathogens) and well-being (domestic animal pathogens) using an objective, evidence-based, repeatable approach; the H-index. This study established the highest H-index European pathogens. Commonalities amongst pathogens not included in previous surveillance or risk analyses were examined. Differences between host types (humans/animals/zoonotic) in pathogen H-indices were explored as a One Health impact indicator. Finally, the acceptability of the H-index proxy for animal pathogen impact was examined by comparison with other measures. 57 pathogens appeared solely in the top 100 highest H-indices (1) human or (2) animal pathogens list, and 43 occurred in both. Of human pathogens, 66 were zoonotic and 67 were emerging, compared to 67 and 57 for animals. There were statistically significant differences between H-indices for host types (humans, animal, zoonotic), and there was limited evidence that H-indices are a reasonable proxy for animal pathogen impact. This work addresses measures outlined by the European Commission to strengthen climate change resilience and biosecurity for infectious diseases. The results include a quantitative evaluation of infectious pathogen impact, and suggest greater impacts of human-only compared to zoonotic pathogens or scientific under-representation of zoonoses. The outputs separate high and low impact pathogens, and should be combined with other risk assessment methods relying on expert opinion or qualitative data for priority setting, or could be used to prioritise diseases for which formal risk assessments are not possible because of data gaps.
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DOI:
10.1016/s0140-6736(12)61729-2
发表时间:
2012-12-15
期刊:
Lancet (London, England)
影响因子:
--
作者:
Vos T;Flaxman AD;Naghavi M;Lozano R;Michaud C;Ezzati M;Shibuya K;Salomon JA;Abdalla S;Aboyans V;Abraham J;Ackerman I;Aggarwal R;Ahn SY;Ali MK;Alvarado M;Anderson HR;Anderson LM;Andrews KG;Atkinson C;Baddour LM;Bahalim AN;Barker-Collo S;Barrero LH;Bartels DH;Basáñez MG;Baxter A;Bell ML;Benjamin EJ;Bennett D;Bernabé E;Bhalla K;Bhandari B;Bikbov B;Bin Abdulhak A;Birbeck G;Black JA;Blencowe H;Blore JD;Blyth F;Bolliger I;Bonaventure A;Boufous S;Bourne R;Boussinesq M;Braithwaite T;Brayne C;Bridgett L;Brooker S;Brooks P;Brugha TS;Bryan-Hancock C;Bucello C;Buchbinder R;Buckle G;Budke CM;Burch M;Burney P;Burstein R;Calabria B;Campbell B;Canter CE;Carabin H;Carapetis J;Carmona L;Cella C;Charlson F;Chen H;Cheng AT;Chou D;Chugh SS;Coffeng LE;Colan SD;Colquhoun S;Colson KE;Condon J;Connor MD;Cooper LT;Corriere M;Cortinovis M;de Vaccaro KC;Couser W;Cowie BC;Criqui MH;Cross M;Dabhadkar KC;Dahiya M;Dahodwala N;Damsere-Derry J;Danaei G;Davis A;De Leo D;Degenhardt L;Dellavalle R;Delossantos A;Denenberg J;Derrett S;Des Jarlais DC;Dharmaratne SD;Dherani M;Diaz-Torne C;Dolk H;Dorsey ER;Driscoll T;Duber H;Ebel B;Edmond K;Elbaz A;Ali SE;Erskine H;Erwin PJ;Espindola P;Ewoigbokhan SE;Farzadfar F;Feigin V;Felson DT;Ferrari A;Ferri CP;Fèvre EM;Finucane MM;Flaxman S;Flood L;Foreman K;Forouzanfar MH;Fowkes FG;Franklin R;Fransen M;Freeman MK;Gabbe BJ;Gabriel SE;Gakidou E;Ganatra HA;Garcia B;Gaspari F;Gillum RF;Gmel G;Gosselin R;Grainger R;Groeger J;Guillemin F;Gunnell D;Gupta R;Haagsma J;Hagan H;Halasa YA;Hall W;Haring D;Haro JM;Harrison JE;Havmoeller R;Hay RJ;Higashi H;Hill C;Hoen B;Hoffman H;Hotez PJ;Hoy D;Huang JJ;Ibeanusi SE;Jacobsen KH;James SL;Jarvis D;Jasrasaria R;Jayaraman S;Johns N;Jonas JB;Karthikeyan G;Kassebaum N;Kawakami N;Keren A;Khoo JP;King CH;Knowlton LM;Kobusingye O;Koranteng A;Krishnamurthi R;Lalloo R;Laslett LL;Lathlean T;Leasher JL;Lee YY;Leigh J;Lim SS;Limb E;Lin JK;Lipnick M;Lipshultz SE;Liu W;Loane M;Ohno SL;Lyons R;Ma J;Mabweijano J;MacIntyre MF;Malekzadeh R;Mallinger L;Manivannan S;Marcenes W;March L;Margolis DJ;Marks GB;Marks R;Matsumori A;Matzopoulos R;Mayosi BM;McAnulty JH;McDermott MM;McGill N;McGrath J;Medina-Mora ME;Meltzer M;Mensah GA;Merriman TR;Meyer AC;Miglioli V;Miller M;Miller TR;Mitchell PB;Mocumbi AO;Moffitt TE;Mokdad AA;Monasta L;Montico M;Moradi-Lakeh M;Moran A;Morawska L;Mori R;Murdoch ME;Mwaniki MK;Naidoo K;Nair MN;Naldi L;Narayan KM;Nelson PK;Nelson RG;Nevitt MC;Newton CR;Nolte S;Norman P;Norman R;O'Donnell M;O'Hanlon S;Olives C;Omer SB;Ortblad K;Osborne R;Ozgediz D;Page A;Pahari B;Pandian JD;Rivero AP;Patten SB;Pearce N;Padilla RP;Perez-Ruiz F;Perico N;Pesudovs K;Phillips D;Phillips MR;Pierce K;Pion S;Polanczyk GV;Polinder S;Pope CA 3rd;Popova S;Porrini E;Pourmalek F;Prince M;Pullan RL;Ramaiah KD;Ranganathan D;Razavi H;Regan M;Rehm JT;Rein DB;Remuzzi G;Richardson K;Rivara FP;Roberts T;Robinson C;De Leòn FR;Ronfani L;Room R;Rosenfeld LC;Rushton L;Sacco RL;Saha S;Sampson U;Sanchez-Riera L;Sanman E;Schwebel DC;Scott JG;Segui-Gomez M;Shahraz S;Shepard DS;Shin H;Shivakoti R;Singh D;Singh GM;Singh JA;Singleton J;Sleet DA;Sliwa K;Smith E;Smith JL;Stapelberg NJ;Steer A;Steiner T;Stolk WA;Stovner LJ;Sudfeld C;Syed S;Tamburlini G;Tavakkoli M;Taylor HR;Taylor JA;Taylor WJ;Thomas B;Thomson WM;Thurston GD;Tleyjeh IM;Tonelli M;Towbin JA;Truelsen T;Tsilimbaris MK;Ubeda C;Undurraga EA;van der Werf MJ;van Os J;Vavilala MS;Venketasubramanian N;Wang M;Wang W;Watt K;Weatherall DJ;Weinstock MA;Weintraub R;Weisskopf MG;Weissman MM;White RA;Whiteford H;Wiersma ST;Wilkinson JD;Williams HC;Williams SR;Witt E;Wolfe F;Woolf AD;Wulf S;Yeh PH;Zaidi AK;Zheng ZJ;Zonies D;Lopez AD;Murray CJ;AlMazroa MA;Memish ZA
通讯作者:
Memish ZA
DOI:
10.1098/rstb.2001.0888
发表时间:
2001-07-29
影响因子:
6.3
作者:
Taylor, LH;Latham, SM;Woolhouse, MEJ
通讯作者:
Woolhouse, MEJ
影响因子:
64.8
作者:
Jones KE;Patel NG;Levy MA;Storeygard A;Balk D;Gittleman JL;Daszak P
通讯作者:
Daszak P
影响因子:
168.9
作者:
Murray, Christopher J. L.;Vos, Theo;Lopez, Alan D.
通讯作者:
Lopez, Alan D.
影响因子:
2.8
作者:
Cardoen, Sabine;Van Huffel, Xavier;Dierick, Katelijne
通讯作者:
Dierick, Katelijne