Spatio-Temporal Data Comparisons for Global Highly Pathogenic Avian Influenza (HPAI) H5N1 Outbreaks

Highly pathogenic avian influenza subtype H5N1 is a zoonotic disease and control of the disease is one of the highest priority in global health. Disease surveillance systems are valuable data sources for various researches and management projects, but the data quality has not been paid much attention in previous studies. Based on data from two commonly used databases (Office International des Epizooties (OIE) and Food and Agriculture Organization of the United Nations (FAO)) of global HPAI H5N1 outbreaks during the period of 2003–2009, we examined and compared their patterns of temporal, spatial and spatio-temporal distributions for the first time. OIE and FAO data showed similar trends in temporal and spatial distributions if they were considered separately. However, more advanced approaches detected a significant difference in joint spatio-temporal distribution. Because of incompleteness for both OIE and FAO data, an integrated dataset would provide a more complete picture of global HPAI H5N1 outbreaks. We also displayed a mismatching profile of global HPAI H5N1 outbreaks and found that the degree of mismatching was related to the epidemic severity. The ideas and approaches used here to assess spatio-temporal data on the same disease from different sources are useful for other similar studies.

[1]  I. Capua,et al.  Avian influenza infection in birds: a challenge and opportunity for the poultry veterinarian. , 2009, Poultry science.

[2]  I. Brown.  Summary of Avian Influenza Activity in Europe, Asia, and Africa, 2006–2009 , 2010, Avian diseases.

[3]  J. Slingenbergh,et al.  Agro-ecological features of the introduction and spread of the highly pathogenic avian influenza (HPAI) H5N1 in northern Nigeria. , 2008, Geospatial health.

[4]  Declan Butler,et al.  Mashups mix data into global service , 2006, Nature.

[5]  Alan Boyde,et al.  Analysis of a three-dimensional point pattern with replication , 1993 .

[6]  M. Salman,et al.  The role of veterinary epidemiology and veterinary services in complying with the World Trade Organization SPS agreement. , 2005, Preventive veterinary medicine.

[7]  S. Babin.  Using syndromic surveillance systems to detect pneumonic plague , 2009, Epidemiology and Infection.

[8]  J. Kaiser.  A One-Size-Fits-All Flu Vaccine? , 2006, Science.

[9]  D. Pfeiffer,et al.  An analysis of the spatial and temporal patterns of highly pathogenic avian influenza occurrence in Vietnam using national surveillance data. , 2007, Veterinary journal.

[10]  K. Stärk,et al.  Comparative assessment of passive surveillance in disease-free and endemic situation: Example of Brucella melitensis surveillance in Switzerland and in Bosnia and Herzegovina , 2008, BMC veterinary research.

[11]  M. Gilbert,et al.  Mapping H5N1 highly pathogenic avian influenza risk in Southeast Asia , 2008, Proceedings of the National Academy of Sciences.

[12]  Vincent Martin,et al.  EARLY WARNING, DATABASE, AND INFORMATION SYSTEMS FOR AVIAN INFLUENZA SURVEILLANCE 1 , 2007 .

[13]  Michael P. Ward,et al.  Identifying spatio-temporal patterns of transboundary disease spread: examples using avian influenza H5N1 outbreaks , 2009, Veterinary research.

[14]  Y. Guan,et al.  Avian flu: H5N1 virus outbreak in migratory waterfowl , 2005, Nature.

[15]  Tiejun Wang,et al.  Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns. , 2009, Geospatial health.

[16]  G. Gao,et al.  Highly Pathogenic H5N1 Influenza Virus Infection in Migratory Birds , 2005, Science.

[17]  J. Pinto,et al.  International organisations and their role in helping to protect the worldwide community against natural and intentional biological disasters. , 2006, Revue scientifique et technique.

[18]  Stephanie Fitchett,et al.  Comparing national and global data collection systems for reporting, outbreaks of H5N1 HPAI. , 2010, Preventive veterinary medicine.

[19]  A. Ersbøll,et al.  The space–time clustering of highly pathogenic avian influenza (HPAI) H5N1 outbreaks in Bangladesh , 2010, Epidemiology and Infection.

[20]  J. Rushton,et al.  Impact of avian influenza outbreaks in the poultry sectors of five South East Asian countries (Cambodia, Indonesia, Lao PDR, Thailand, Viet Nam) outbreak costs, responses and potential long term control , 2005 .

[21]  I. Brown,et al.  Surveillance, prevention and disease management of avian influenza in the European Union , 2006 .

[22]  M. Nielen,et al.  Ecologic risk factor investigation of clusters of avian influenza A (H5N1) virus infection in Thailand. , 2009, The Journal of infectious diseases.

[23]  D. Alexander.  Summary of Avian Influenza Activity in Europe, Asia, Africa, and Australasia, 2002–2006 , 2007, Avian diseases.

[24]  Peter J. Diggle,et al.  SPLANCS: spatial point pattern analysis code in S-Plus , 1993 .

[25]  E. Holmes,et al.  The evolution of epidemic influenza , 2007, Nature Reviews Genetics.

[26]  K. Stöhr.  Avian influenza and pandemics--research needs and opportunities. , 2005, The New England journal of medicine.

[27]  D J Alexander,et al.  A review of avian influenza in different bird species. , 2000, Veterinary microbiology.

[28]  M. Gilbert,et al.  Anatidae Migration in the Western Palearctic and Spread of Highly Pathogenic Avian Influenza H5N1 Virus , 2006, Emerging infectious diseases.