Epidemiological investigation of feline infectious peritonitis in cats living in Harbin, Northeast China from 2017 to 2019 using a combination of an EvaGreen-based real-time RT-PCR and serum chemistry assays.

Feline infectious peritonitis (FIP) is caused by the FIP virus (FIPV), a highly virulent mutant form of feline coronavirus (FCoV). This disease is one of the most important infectious diseases in cats, and it is associated with high mortality, particularly among younger cats. In this study, we isolated a wild-type FIPV HRB-17 epidemic strain from the blood sample of household pet cat exhibiting the characteristic wet-form FIP symptoms, which has been confirmed further by animal infection. Further, we developed an EvaGreen-based real-time RT-PCR assay for the accurate detection of FCoV based on the amplification of the highly conserved FIPV N gene. Then, using a combination of the real-time RT-PCR approach and a serum chemistry assay, we performed an epidemiological survey of FIPV infection in cats living in Harbin City, Northeast China. The results indicated that the EvaGreen-based real-time RT-PCR assay can be used for screening FCoV infection in the affected cats at an analytical detection limit of 8.2 × 101 viral genome copies/µL, but could not effectively distinguish FIPVs from FECVs. Additionally, the results of the epidemiological survey investigating feline blood samples (n = 1523) collected between July 2017 to July 2019 revealed an FIPV prevalence of approximately 12% (189/1523). Maybe, the prevalence would be less than 12% due to the real-time RT-PCR assay could not accurately differentiate FIPV and FECV. Nevertheless, it still highlighted the severity of the FIP epidemic in cats and reiterated the urgent need to develop effective anti-FIP therapeutic agents and anti-FIPV vaccines. As pet cats are household animals, risk communication and continuous region-extended surveillance cat programs are recommended.

To buy or not buy food online: The impact of the COVID-19 epidemic on the adoption of e-commerce in China.

Drawing on a recent online survey combined with city-level data, this paper examines the impact of the COVID-19 on consumers' online food purchase behavior in the short term. To address the potential endogeneity issues, we adopt an instrumental variable (IV) strategy, using the distance from the surveyed city to Wuhan as the instrumental variable. We show that our IV method is effective in minimizing potential bias. It is found that the share of confirmed COVID-19 cases increases the possibility of consumers purchasing food online. This is more likely to be the case for young people having a lower perceived risk of online purchases and living in large cities. Despite some limitations, this paper has policy implications for China and other countries that have been influenced by the COVID-19 epidemic. Specifically, government support and regulation should focus on (i) ensuring the safety of food sold on the internet, (ii) protecting the carrier from becoming infected, and (iii) providing financial support to the poor since they may have difficulties in obtaining access to food living in small cities. Moreover, how to help those who are unable to purchase food online because of their technical skills (e.g., the elderly who are not familiar with smart phones or the internet) also deserves more attention for the government and the public.