中国长三角地区猪繁殖与呼吸综合征病毒流行性Meta分析

doi:10.11843/j.issn.0366-6964.2025.11.037

Abstract

Abstract:

This study aims to systematically evaluate and analyze the prevalence of porcine reproductive and respiratory syndrome virus (PRRSV) in pig populations within the Yangtze River Delta region of China, providing a scientific basis for effective prevention and control strategies. A comprehensive literature search was conducted across five major databases: China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP Chinese Science and Technology Journals Database, PubMed, and Science Direct. Studies on the prevalence of PRRSV in pig populations in the Yangtze River Delta region, collected since the outbreak of PRRSV in China in 1995, was systematically reviewed and subjected to Meta-analysis. A total of 36 articles were included in the Meta-analysis, involving 28 767 pigs, of which 8 277 tested positive for PRRSV. The overall prevalence of PRRSV in pig populations in the Yangtze River Delta region was 35.8% (95% CI: 0.266, 0.456). Among the provinces, Anhui exhibited the highest prevalence at 51.5% (95% CI: 0.321, 0.706), followed by Jiangsu at 45.0% (95% CI: 0.315, 0.589) and Shanghai at 41.2% (95% CI: 0.211, 0.629). Zhejiang had the lowest prevalence at 31.0% (95% CI: 0.213, 0.416). The highest infection rate was observed in suckling piglets (34.1%; 95% CI: 0.181, 0.521), followed by nursery pigs (30.4%; 95% CI: 0.077, 0.598), and finishing pigs (21.5%; 95% CI: 0.115, 0.333). The subgroup analysis and meta-regression analysis revealed that the heterogeneity in the studies was not associated with sampling location, sampling time, diagnostic methods, clinical symptoms, pig developmental stage, or study quality (P>0.05). However, factors such as sample type, feeding practices, and health status were found to significantly affect the prevalence of PRRSV (P < 0.05). The prevalence of PRRSV in pig populations within the Yangtze River Delta region was high. It is essential to maintain continuous monitoring of PRRSV infections, especially the free-range pig and suckling piglets. Additionally, the development and implementation of targeted prevention and control strategies is critical for reducing the risk of viral transmission.

Key words: Yangtze River Delta region, porcine reproductive and respiratory syndrome virus, Meta-analysis, prevalence

CLC Number:

S851.3

WU Hanyu, XIA Xinyue, XU Yigang, SONG Houhui, WANG Jing, YANG Yongchun. Meta-analysis of Porcine Reproductive and Respiratory Syndrome Virus Prevalence in China's Yangtze River Delta Region[J]. Acta Veterinaria et Zootechnica Sinica, 2025, 56(11): 5801-5816.

Figures/Tables 7

Table 1

Fig. 1

Table 2

Basic information and quality scores of included literatures"

研究文献 Study ID	采样时间 Sampling time	采样地(省/市) Region (Province/City)	PRRSV抗原和核酸检测 Detection of PRRSV-Ag and RNA			质量评分 Quality score	文献质量 Study quality
研究文献 Study ID	采样时间 Sampling time	采样地(省/市) Region (Province/City)	诊断方法 Diagnose method	阳性样本/总样本 Positive/total samples	检出率/% (95% CI) Detection rate (95% CI)	质量评分 Quality score	文献质量 Study quality
Han et al, 2019^[15]	2016—2017	浙江、江苏 Zhejiang, Jiangsu	ELISA	85/88	0.97 (0.90, 0.99)	4	中等
Jiang et al, 2010^[16]	2006—2007	浙江 Zhejiang	RT-PCR	22/76	0.29 (0.20.0.40)	6	中等
Li et al, 2024^[17]	2021—2022	浙江、江苏 Zhejiang, Jiangsu	RT-qPCR	147/511	0.29 (0.25, 0.33)	7	高
Peng et al, 2017^[18]	2012—2015	长三角地区 Yangtze River Delta	RT-PCR	1 543/2 424	0.64 (0.62.0.66)	6	中等
Rao et al, 2014^[19]	2009—2012	浙江 Zhejiang	RT-qPCR	10/60	0.17 (0.09, 0.28)	6	中等
Wang et al, 2022^[20]	2020	安徽、江苏 Anhui, Jiangsu	RT-PCR	2/13	0.15 (0.04.0.42)	2	低
Wang et al, 2017^[21]	2004—2012	上海 Shanghai	RT-PCR	518/1 499	0.35 (0.32, 0.37)	6	中等
Wang et al, 2015^[22]	2011—2012	上海、江苏 Shanghai, Jiangsu	RT-PCR	5/52	0.10 (0.04, 0.21)	6	中等
Zhou et al, 2022^[23]	2017—2022	浙江、安徽、江苏 Zhejiang, Anhui, Jiangsu	RT-PCR	52/215	0.24 (0.19, 0.30)	8	高
Zhou et al, 2024^[24]	2021—2022	浙江 Zhejiang	MLPA	78/88	0.89 (0.80, 0.94)	4	中等
柏坤桃等, 2008^[25] Bo et al, 2008^[25]	2003—2008	江苏 Jiangsu	RT-PCR	120/372	0.32 (0.28, 0.37)	6	中等
杜庆川, 2024^[26] Du et al, 2024^[26]	2020—2022	江苏 Jiangsu	RT-PCR	1 850/5 620	0.33 (0.32.0.34)	6	中等
顾秋成, 2017^[27] Gu et al, 2017^[27]	2014—2015	安徽 Anhui	RT-PCR	44/211	0.21 (0.16, 0.27)	4	中等
顾小根等, 2002^[28] Gu et al, 2002^[28]	1998—2001	浙江 Zhejiang	ELISA、病毒分离	82/654	0.13 (0.10.0.15)	5	中等
金一春等, 2021^[29] Jin et al, 2021^[29]	2016—2020	上海 Shanghai	RT-PCR	3/5 728	0.00 (0.00.0.00)	6	中等
鞠厚斌等, 2009^[30] Ju et al, 2009^[30]	2006—2009	上海 Shanghai	RT-qPCR	444/1 050	0.25 (0.23, 0.27)	6	中等
李凌光等, 2022^[31] Li et al, 2022^[31]	2019—2022	长三角区域 Yangtze River Delta	RT-PCR	95/277	0.34 (0.29.0.40)	9	高
李玉峰等, 2003^[32] Li et al, 2003^[32]	2001	上海 Shanghai	RT-PCR	18/18	1.00 (0.82, 1.00)	3	低
刘爱军等, 2019^[33] Liu et al, 2019^[33]	2018	浙江 Zhejiang	RT-PCR	8/137	0.06 (0.03, 0.11)	6	中等
刘茂军等, 2009^[34] Liu et al, 2009^[34]	2009	江苏 Jiangsu	RT-PCR	9/21	0.43 (0.24.0.63)	4	中等
刘瑞琳, 2024^[35] Liu et al, 2024^[35]	2021—2023	江苏、上海、浙江 Jiangsu, Shanghai, Zhejiang	RT-PCR	81/285	0.28 (0.23, 0.34)	7	高
刘晓东等, 2014^[36] Liu et al, 2014^[36]	2012	浙江 Zhejiang	RT-PCR	121/247	0.49 (0.43, 0.55)	5	中等
钱琨等, 2011^[37] Qian et al, 2011^[37]	2007—2010	江苏 Jiangsu	RT-PCR	18/45	0.40 (0.27.0.55)	4	中等
沈艳等, 2021^[38] Shen et al, 2021^[38]	2016—2020	安徽 Anhui,	RT-qPCR	200/1 189	0.17 (0.15, 0.19)	9	高
童武等, 2011^[39] Tong et al, 2011^[39]	2010	江苏、上海、浙江 Jiangsu, Shanghai, Zhejiang	RT-PCR	24/65	0.37 (0.26.0.49)	4	中等
王建等, 2015^[40] Wang et al, 2015^[40]	2004—2012	上海 Shanghai	RT-PCR	641/1 629	0.39(0.37.0.42)	9	高
王倩等, 2019^[41] Wang et al, 2019^[41]	2015—2019	安徽 Anhui,	RT-qPCR	375/1 391	0.27 (0.25, 0.29)	5	中等
王强等, 2010^[42] Wang et al, 2010^[42]	2001—2004	安徽 Anhui,	RT-PCR	326/625	0.52 (0.48, 0.56)	8	高
吴瑕等, 2021^[43] Wu et al, 2021^[43]	2017—2020	江苏、上海、浙江 Jiangsu, Shanghai, Zhejiang	RT-PCR	179/357	0.50 (0.45, 0.55)	5	中等
徐丽华等, 2022^[41] Xu et al, 2022^[41]	2017—2020	浙江 Zhejiang	RT-PCR	450/1 963	0.23 (0.21, 0.25)	6	中等
徐丽华等, 2013^[44] Xu et al, 2013^[44]	2004—2009	浙江 Zhejiang	RT-PCR	61/109	0.56 (0.47.0.65)	7	高
叶俊平等, 2007^[45] Ye et al, 2007^[45]	2005—2006	江苏 Jiangsu	RT-PCR	108/211	0.51 (0.44, 0.58)	7	高
叶向阳等, 1999^[46] Ye et al, 1999^[46]	1999	浙江、上海 Zhejiang, Shanghai	ELISA	67/240	0.28 (0.23.0.34)	3	低
张维谊等, 2008^[47] Zhang et al, 2008^[47]	2005—2007	上海 Shanghai	RT-qPCR	240/695	0.35 (0.15, 0.31)	6	中等
赵永旺等, 2010^[48] Zhao et al, 2010^[48]	未知	江苏 Jiangsu	ELISA	18/186	0.10 (0.31, 0.38)	6	中等
祝闰琦等, 2020^[49] Zhu et al, 2020^[49]	2017—2018	安徽 Anhui	RT-qPCR	223/416	0.56 (0.51, 0.61)	8	高

Table 2

Fig. 2

Fig. 3

Fig. 4

Table 3

Correlation analysis of PRRSV epidemic risk factors in the Yangtze River Delta region"

风险因子 Risk factors	文献数量 No.studies	样本总数 No.tested	阳性数目 Positive	流行率/% (CI 95%)	异质性 Heterogeneity			Meta回归分析 Meta-regression
风险因子 Risk factors	文献数量 No.studies	样本总数 No.tested	阳性数目 Positive	流行率/% (CI 95%)	χ²	P-value	I²	P-value	Cofficient(95% CI)	R²/%	T²
采样地点 Region								0.117	-0.051(-0.116, 0.013)	3.56%	0.041
安徽 Anhui	8	3 473	1 517	51.5(0.321, 0.706)	755.35	0.000	99.07%
江苏 Jiangsu	14	2 262	1 029	45.0(0.315, 0.589)	483.56	0.000	97.31%
上海 Shanghai	14	13 795	3 515	41.2(0.211, 0.629)	6 782.46	0.000	99.81%
浙江 Zhejiang	14	3 520	967	31.0(0.213, 0.416)	363.43	0.000	96.42%
方法 Method								0.502	0.042(-0.083, 0.166)	-1.94%	0.039
ELISA	4	1 168	252	36.6(0.092, 0.699)	342.05	0.000	99.12%
RT-PCR	26	23 310	6 771	35.6(0.239, 0.483)	8 460.11	0.000	99.70%
RT-qPCR	5	4 201	1 176	26.2(0.170, 0.360)	185.86	0.000	97.84%
MLPA	1	88	78	88.6(0.80, 0.94)	NA	NA	NA
样本类型 Sample type								0.045^*	0.155(-0.004, 0.306)	19.82%	0.019
血清 Serum	8	7 420	469	21.9(0.054, 0.451)	1 472.20	0.000	99.53%
组织 Tissue	15	7 070	2 143	37.9(0.304, 0.456)	564.68	0.000	97.52%
采样时间 Sampling time								0.596	-0.031(-0.147, 0.086)	-3.41%	0.040
1995—2004	4	1 537	493	48.6(0.217, 0.759)	309.24	0.000	99.03%
2005—2014	15	8 394	3 808	37.5(0.23, 0.47)	603.65	0.000	97.68%
2015—2024	15	18 278	3 838	33.5(0.193, 0.495)	5 709.35	0.000	99.76%
养殖模式 Breeding mode								0.033^*	0.203(0.018, 0.388)	18.57%	0.021
规模化 Scale farming	23	20 217	4 214	25.5(0.194, 0.404)	5 478.19	0.000	99.60%
散养 Free-range farming	4	755	346	44.6(0.336, 0.559)	24.025	0.000	87.51%
发育阶段 Development stage								0.516	-0.038(-0.156, 0.081)	-5.10%	0.043
哺乳仔猪 Lactating piglets	7	2 192	357	34.1(0.181, 0.521)	197.00	0.000	96.95%
保育猪 Nursery pig	5	2 241	410	30.4(0.077, 0.598)	463.11	0.000	99.14%
育肥猪 Fattening pigs	12	6 070	959	21.5(0.115, 0.333)	999.36	0.000	98.90%
健康状况 Health status								0.005^*	-0.240(-0.403, -0.078)	22.40%	0.031
无症状 Asymptomatic	7	9 133	722	11.4(0.013, 0.292)	1 863.27	0.000	99.68%
有症状 Symptomatic	26	51 055	31 943	38.1(0.233, 0.541)	19 994.23	0.000	99.88%
临床症状 Clinical symptoms								0.346	0.214(-0.274, 0.703)	0.32%	0.091
繁殖障碍 Reproductive disorders	7	2 369	296	31.3(0.110, 0.562)	545.87	0.000	98.90%
呼吸道疾病 Respiratory diseases	4	369	214	56.2(0.165, 0.919)	106.86	0.000	97.19%
文献质量 Literature quality								0.419	0.051(-0.075, 0.177)	-1.80%	0.039
高 High	10	5 467	1 944	38.1(0.29, 0.48)	443.09	0.000	97.97%
中 Medium	23	24 005	6 315	32.2(0.21, 0.45)	8 117.41	0.000	99.73%
低 Low	3	271	87	35.3(0.04, 0.98)	NA	NA

Table 3

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序号 No.	文献质量评估工具 Tools for assessing the quality of literature
1	样本框架是否适合解决目标猪群的问题? Was the sample frame appropriate to address the target pig?
2	研究是否采用了合适的抽样方法? Were study participants sampled in an appropriate way?
3	样本量是否足够? Was the sample size adequate?
4	数据分析是否覆盖了目标样本? Was the data analysis conducted with sufficient coverage of the identified sample?
5	是否采用了有效的方法计算发病率? Were valid methods used for the identification of the condition?
6	是否以标准、可靠的方式评估所有样本? Was the condition measured in a standard, reliable way for all participants?
7	是否进行了适当的统计分析? Was there appropriate statistical analysis?
8	研究对象和研究环境是否详细描述? Were the study subjects and the setting described in detail?

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Meta-analysis of Porcine Reproductive and Respiratory Syndrome Virus Prevalence in China's Yangtze River Delta Region

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