tetano
Editor, Senior Moderator
Infect Dis Rep
. 2023 Dec 19;16(1):1-12.
doi: 10.3390/idr16010001. Trends and Spatiotemporal Patterns of Avian Influenza Outbreaks in Italy: A Data-Driven Approach
Francesco Branda[SUP] 1 [/SUP], Sandra Mazzoli[SUP] 2 [/SUP], Massimo Pierini[SUP] 2 3 [/SUP], Massimo Ciccozzi[SUP] 1 [/SUP]
Affiliations
In recent years, the unprecedented spread of the Avian Influenza Viruses (AIVs) among birds and mammals has caused devastation in animal populations, including poultry, wild birds, and some mammals, damaging farmers' livelihoods and the food trade. Given the urgency of the situation, it is particularly important that scientists and the public can access research results and data as soon as possible. The main aim of this study is to present a global open-access dataset of Avian Influenza outbreaks to enable researchers and policymakers (i) to rapidly detect, and respond to animal outbreaks as the first line of defense; (ii) to conduct epidemiological and virological investigations around animal outbreaks and human infections; and (iii) to communicate the risk. We show the potential use of this dataset to the research community by analyzing the most updated information on past and current Highly Pathogenic Avian Influenza (HPAI) outbreaks in domestic poultry and wild birds over the period from October 2021 to July 2023 in Italy. In addition, we applied indices borrowed from Economics (such as Homogeneity, Specialization, and Location Index) to the wild birds dataset to show their possible usage in epidemiology.
Keywords: H5N1; HPAI; avian influenza; bird flu; epidemiology; open data; poultry; public health; virus surveillance; wild birds.
. 2023 Dec 19;16(1):1-12.
doi: 10.3390/idr16010001. Trends and Spatiotemporal Patterns of Avian Influenza Outbreaks in Italy: A Data-Driven Approach
Francesco Branda[SUP] 1 [/SUP], Sandra Mazzoli[SUP] 2 [/SUP], Massimo Pierini[SUP] 2 3 [/SUP], Massimo Ciccozzi[SUP] 1 [/SUP]
Affiliations
- PMID: 38391583
- DOI: 10.3390/idr16010001
In recent years, the unprecedented spread of the Avian Influenza Viruses (AIVs) among birds and mammals has caused devastation in animal populations, including poultry, wild birds, and some mammals, damaging farmers' livelihoods and the food trade. Given the urgency of the situation, it is particularly important that scientists and the public can access research results and data as soon as possible. The main aim of this study is to present a global open-access dataset of Avian Influenza outbreaks to enable researchers and policymakers (i) to rapidly detect, and respond to animal outbreaks as the first line of defense; (ii) to conduct epidemiological and virological investigations around animal outbreaks and human infections; and (iii) to communicate the risk. We show the potential use of this dataset to the research community by analyzing the most updated information on past and current Highly Pathogenic Avian Influenza (HPAI) outbreaks in domestic poultry and wild birds over the period from October 2021 to July 2023 in Italy. In addition, we applied indices borrowed from Economics (such as Homogeneity, Specialization, and Location Index) to the wild birds dataset to show their possible usage in epidemiology.
Keywords: H5N1; HPAI; avian influenza; bird flu; epidemiology; open data; poultry; public health; virus surveillance; wild birds.