| Literature DB >> 35328903 |
Jieru Wang1, Xiaojie Zhu2, Chang Cai3, Xiaocheng Pan1, Chonglong Wang1.
Abstract
Biosecurity plays a critical role in preventing and controlling the introduction and spread of infectious diseases. The COVID-19 pandemic in China triggered a nationwide lockdown policy which reduced most of the daily activities of people, but the pig industry was encouraged to ensure the pork supply. An investigation of biosecurity practices in intensive pig farms across several provinces in China was conducted in June 2020 via questionnaire to evaluate the factors that may pose viral diseases risk to the farms during the lockdown period from January to May 2020. A total of 50 farms in 12 provinces of China were engaged. Fourteen of them were classified as positive farms since at least one viral disease was presented during this period, including porcine reproductive and respiratory syndrome (seven farms), porcine epidemic diarrhea (three farms), and pseudorabies (one farm). The other three farms only reported their disease positive status but refused to release disease names. The overall farm level prevalence of viral disease was 28.0% (95%CI: 16.3-42.5%). A logistic regression model was built to identify risk/protective factors for farm positivity. In the multivariable logistic regression model, the risk factor of dead pig 'removal by the others' (OR = 8.0, 95%CI: 1.5, 43.5) was found to be significantly associated with viral disease positivity. On-farm incineration pits are highly recommended to be the administered for the harmless treatment of dead pigs. This is not only crucial for controlling the transmission of viral diseases but also plays a key role in reducing activity in the illegal dead meat business. According to previous studies, factors such as adapting an all-in-all-out system, on-farm incineration pits, and requiring workers to wash their hands regularly would reduce the risk of virus transmission, even though these factors did not show significance in our study. The results of our study could help to design better surveillance strategies in China and other countries.Entities:
Keywords: biosecurity; intensive pig farms; lockdown period; practice; risk analysis; viral disease
Mesh:
Year: 2022 PMID: 35328903 PMCID: PMC8953524 DOI: 10.3390/ijerph19063215
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Names, descriptions, and coding of the 19 variables and their categories included in the study as potential risk factors for viral diseases in the pig farms in China.
| Variables | No. of Herds ( |
|---|---|
| Types of farms | |
| Commercial grow-to-finish swine farms | 3 |
| Commercial farrow-to-finish swine farms | 21 |
| Breeding swine farms | 19 |
| Wean-to-finish swine farms | 7 |
| Year of farm establishment | |
| Before ASF outbreak | 11 |
| After ASF outbreak | 39 |
| Total number of pigs in the farm | |
| >5000 | 12 |
| 2000~5000 | 17 |
| <2000 | 21 |
| Breeds in the farm | |
| Single species | 31 |
| Multispecies | 19 |
| Farms level all in/all out | |
| Yes | 38 |
| No | 12 |
| House level all in/all out | |
| Yes | 35 |
| No | 15 |
| Type of environment around the farm | |
| Village | 24 |
| Mountain or hill | 13 |
| Highway | 13 |
| Did you import any pigs between 1 January 2020 to 31 May 2020 and test these pigs before they were introduced? (Testing before introducing new pigs) | |
| Yes | 26 |
| No | 24 |
| If vehicles are required to be disinfected before entering the farm | |
| Yes | 50 |
| No | 1 |
| Are visitors allowed to enter the farm | |
| Yes | 0 |
| No | 50 |
| Did you sell any pigs between 1 January 2020 to 31 May 2020? (Selling activity from Jan to May 2020) | |
| Yes | 35 |
| No | 15 |
| Loading person when selling | |
| Workers | 42 |
| Buyers | 4 |
| Both | 4 |
| Coat changing before picking pigs | |
| Yes | 43 |
| No | 7 |
| Boot changing before picking pigs | |
| Yes | 43 |
| No | 7 |
| Hand washing before picking pigs | |
| Yes | 3 |
| No | 47 |
| Place of diagnosis | |
| Resident veterinarian | 39 |
| Township veterinary station | 2 |
| Services company | 3 |
| University | 1 |
| Other units | 5 |
| Have any animals on your farm ever tested positive for any viral diseases between 1 January 2020 to 31 May 2020?(Disease status in the past six month) | |
| Yes | 14 |
| No | 36 |
| Not sure | 0 |
| If yes, please write the disease name. | |
| PRRS 7 | |
| PED 3 | |
| PRRS 1 | |
| I don’t want to release the name. 3 | |
| Which method was used to test your pigs for those diseases? | |
| RT-PCR | 14 |
| Other methods | 0 |
| Does the farm have facilities or measures for on-farm harmless disposal?(On-farm harmless disposal) | |
| Yes | 50 |
| No | 0 |
| If yes, what facilities or measures were used? | |
| Removal by others | 8 |
| On-farm incineration pit | 42 |
Figure 1Geographical distribution of farms in the survey and their viral diseases status. The size of the circular chart and the number next to the province name both indicate the number of valid farms engaged in this survey. The colors on the circular charts represent the disease status of the farms, and the numbers represent how many farms have the specific disease status.
Univariable analyses of the variables that have potential risks to farm level viral disease positivity.
| Variables | Categories | Percentage (%) | Prevalence, 95%CI (%) | Odds Ratio, 95%CI | |
|---|---|---|---|---|---|
| Time point of establishment | 0.144 * | ||||
| After 2018 ASF outbreak | 22 | 45.5 (16.7–76.6) | 2.8 (0.7–11.3) | ||
| Before 2018 ASF outbreak | 78 | 23.1 (11.1–39.3) | 1.0 | ||
| Farm size | 0.375 | ||||
| >5000 | 24 | 41.7 (15.2–72.3) | 3.0 (0.6–14.8) | ||
| 2000~5000 | 34 | 29.4 (10.3–56.0) | 1.8 (0.4–8.0) | ||
| <2000 | 42 | 19.0 (5.4–41.9) | 1.0 | ||
| Number of breeds | 0.836 | ||||
| Only one | 62 | 29.0 (14.2–48.0) | 1.1 (0.3–4.1) | ||
| More than one | 38 | 26.3 (9.1–51.2) | 1.0 | ||
| Mountain or hill near farm (<3 km) | 0.239 | ||||
| Yes | 26 | 15.4 (1.9–45.4) | 0.8 (0.6–1.0) | ||
| No | 74 | 32.4 (18.0–49.8) | 1.0 | ||
| Highway near farm (<3 km) | 0.201 | ||||
| Yes | 26 | 15.4 (1.9–45.4) | 0.8 (0.6–1.0) | ||
| No | 74 | 32.4 (18.0–49.8) | 1.0 | ||
| Testing before introducing new pigs | 0.420 | ||||
| Yes | 48 | 33.3 (15.6–55.3) | 1.7 (0.5–5.8) | ||
| No | 52 | 23.1 (9.0–43.6) | 1.0 | ||
| Purchasing activity from Jan to May 2020 | 0.650 | ||||
| Yes | 52 | 30.8 (14.3–51.8) | 1.3 (0.4–4.6) | ||
| No | 48 | 25.0 (9.8–46.7) | 1.0 | ||
| Selling activity from Jan to May 2020 | 0.409 | ||||
| Yes | 70 | 31.4 (16.9–49.3) | 1.8 (0.4–7.8) | ||
| No | 30 | 20.0 (4.3–48.1) | 1.0 | ||
| House level all-in-all-out strategy | 0.891 | ||||
| No | 30 | 26.7 (7.8–55.1) | 1.0 | ||
| Yes | 70 | 28.6 (14.6–46.3) | 1.1 (0.3–4.3) | ||
| Disposal of dead pigs | 0.018 * | ||||
| Removal by others | 16 | 62.5 (24.5–91.5) | 6.1 (1.2–30.3) | ||
| On-farm incineration pit | 84 | 21.4 (10.3–36.8) | 1.0 | ||
| Coat changing requirement for workers | 0.384 | ||||
| Yes | 86 | 30.2 (17.2–46.1) | 2.6 (0.3–23.8) | ||
| No | 14 | 14.3 (0.4–57.9) | 1.0 | ||
| Boot-changing requirement for workers | 0.384 | ||||
| Yes | 86 | 30.2 (17.2–46.1) | 2.6 (0.3–23.8) | ||
| No | 14 | 14.3 (0.4–57.9) | 1.0 | ||
| Hand-washing requirement for workers | 0.186 * | ||||
| Yes | 6 | 66.7 (9.4–99.2) | 5.8 (0.5–70.2) | ||
| No | 94 | 25.5 (13.9–40.3) | 1.0 | ||
* Variables with p < 0.20 in the univariable analysis. They were kept to enter into the multivariable logistic model.
Multivariable logistic regression model for potential risk factors selected from univariable analyses.
| β | Odds Ratio, 95%CI | |||
|---|---|---|---|---|
| Farm established before 2018 ASF outbreak in China | −1.1 |
| 0.3 (0.1–1.6) | 0.178 |
| No hand-washing requirement for workers | −2.2 | 0.1 (0.0–1.5) | 0.100 | |
| Dead pig removal by others | 2.1 | 8.0 (1.5–43.5) | 0.016 | |
| Constant | 1.5 |
Note: The chart in the middle of the table was used to visualize the level of risk of each variable compared with the reference value of 1.0. Dots on the chart indicate the value of the odds ratio, and the interval bars represented the 95%CI of the odds ratio.