tetano
Editor, Senior Moderator
Prev Vet Med
. 2021 Mar 5;190:105317.
doi: 10.1016/j.prevetmed.2021.105317. Online ahead of print.
Infection and risk factors of human and avian influenza in pigs in south China
Fangyu Ding[SUP] 1 [/SUP], Yin Li[SUP] 2 [/SUP], Baoxu Huang[SUP] 2 [/SUP], John Edwards[SUP] 2 [/SUP], Chang Cai[SUP] 3 [/SUP], Guihong Zhang[SUP] 4 [/SUP], Dong Jiang[SUP] 5 [/SUP], Qian Wang[SUP] 6 [/SUP], Ian D Robertson[SUP] 7 [/SUP]
Affiliations
Abstract
The coinfection of swine influenza (SI) strains and avian/human-source influenza strains in piggeries can contribute to the evolution of new influenza viruses with pandemic potential. This study analyzed surveillance data on SI in south China and explored the spatial predictor variables associated with different influenza infection scenarios in counties within the study area. Blood samples were collected from 7670 pigs from 534 pig farms from 2015 to 2017 and tested for evidence of infection with influenza strains from swine, human and avian sources. The herd prevalences for EA H1N1, H1N1pdm09, classic H1N1, HS-like H3N2, seasonal human H1N1 and avian influenza H9N2 were 88.5, 64.5, 60.3, 57.8, 12.9 and 10.3 %, respectively. Anthropogenic factors including detection frequency, chicken density, duck density, pig density and human population density were found to be better predictor variables for three influenza infection scenarios (infection with human strains, infection with avian strains, and coinfection with H9N2 avian strain and at least one swine strain) than were meteorological and geographical factors. Predictive risk maps generated for the four provinces in south China highlighted that the areas with a higher risk of the three infection scenarios were predominantly clustered in the delta area of the Pearl River in Guangdong province and counties surrounding Poyang Lake in Jiangxi province. Identification of higher risk areas can inform targeted surveillance for influenza in humans and pigs, helping public health authorities in designing risk-based SI control strategies to address the pandemic influenza threat in south China.
Keywords: Pandemic potential; Risk maps; Spatial predictor variables; Swine influenza.
. 2021 Mar 5;190:105317.
doi: 10.1016/j.prevetmed.2021.105317. Online ahead of print.
Infection and risk factors of human and avian influenza in pigs in south China
Fangyu Ding[SUP] 1 [/SUP], Yin Li[SUP] 2 [/SUP], Baoxu Huang[SUP] 2 [/SUP], John Edwards[SUP] 2 [/SUP], Chang Cai[SUP] 3 [/SUP], Guihong Zhang[SUP] 4 [/SUP], Dong Jiang[SUP] 5 [/SUP], Qian Wang[SUP] 6 [/SUP], Ian D Robertson[SUP] 7 [/SUP]
Affiliations
- PMID: 33744674
- DOI: 10.1016/j.prevetmed.2021.105317
Abstract
The coinfection of swine influenza (SI) strains and avian/human-source influenza strains in piggeries can contribute to the evolution of new influenza viruses with pandemic potential. This study analyzed surveillance data on SI in south China and explored the spatial predictor variables associated with different influenza infection scenarios in counties within the study area. Blood samples were collected from 7670 pigs from 534 pig farms from 2015 to 2017 and tested for evidence of infection with influenza strains from swine, human and avian sources. The herd prevalences for EA H1N1, H1N1pdm09, classic H1N1, HS-like H3N2, seasonal human H1N1 and avian influenza H9N2 were 88.5, 64.5, 60.3, 57.8, 12.9 and 10.3 %, respectively. Anthropogenic factors including detection frequency, chicken density, duck density, pig density and human population density were found to be better predictor variables for three influenza infection scenarios (infection with human strains, infection with avian strains, and coinfection with H9N2 avian strain and at least one swine strain) than were meteorological and geographical factors. Predictive risk maps generated for the four provinces in south China highlighted that the areas with a higher risk of the three infection scenarios were predominantly clustered in the delta area of the Pearl River in Guangdong province and counties surrounding Poyang Lake in Jiangxi province. Identification of higher risk areas can inform targeted surveillance for influenza in humans and pigs, helping public health authorities in designing risk-based SI control strategies to address the pandemic influenza threat in south China.
Keywords: Pandemic potential; Risk maps; Spatial predictor variables; Swine influenza.