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巴基斯坦北部边境地区选定地区小反刍动物疫病的流行情况及相关危险因素。

Prevalence and associated risk factors of peste des petits ruminants in selected districts of the northern border region of Pakistan.

机构信息

College of Animal Husbandry & Veterinary Medicine, Southwest Minzu University, Chengdu, 610041, China.

Department of Clinical Studies, Faculty of Veterinary and Animal Sciences, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi 46000, Pakistan.

出版信息

BMC Vet Res. 2024 May 24;20(1):225. doi: 10.1186/s12917-024-04033-8.

Abstract

BACKGROUND

Peste des Petits Ruminants (PPR) is a world organization for animal health (WOAH) notifiable and economically important transboundary, highly communicable viral disease of small ruminants. PPR virus (PPRV) belongs to the genus Morbillivirus of the family Paramyxoviridae.

AIM

The present cross-sectional epidemiological investigation was accomplished to estimate the apparent prevalence and identify the risk factors linked with peste des petits ruminants (PPR) in the previously neglected northern border regions of Pakistan.

METHOD

A total of 1300 samples (serum = 328; swabs = 972) from 150 flocks/herds were compiled from sheep (n = 324), goats (n = 328), cattle (n = 324), and buffaloes (n = 324) during 2020-2021 and tested using ELISA for detection of viral antibody in sera or antigen in swabs.

RESULTS

An overall apparent prevalence of 38.7% (504 samples) and an estimated true prevalence (calculated by the Rogan and Gladen estimator) of 41.0% (95% CI, 38.0-44 were recorded in the target regions. The highest apparent prevalence of 53.4% (85 samples) and the true prevalence of 57.0%, 95% Confidence Interval (CI) were documented in the Gilgit district and the lowest apparent prevalence of 53 (25.1%) and the true prevalence of 26.0%, 95% Confidence Interval (CI), 19.0-33.0) was reported in the Swat district. A questionnaire was designed to collect data about associated risk factors that were put into a univariable logistic regression to decrease the non-essential assumed risk dynamics with a P-value of 0.25. ArcGIS, 10.8.1 was used to design hotspot maps and MedCalc's online statistical software was used to calculate Odds Ratio (OR). Some of the risk factors significantly different (P < 0.05) in the multivariable logistic regression were flock/herd size, farming methods, nomadic animal movement, and outbreaks of PPR. The odds of large-sized flocks/herds were 1.7 (OR = 1.79; 95% Confidence Interval (CI) = 0.034-91.80%) times more likely to be positive than small-sized. The odds of transhumance and nomadic systems were 1.1 (OR = 1.15; 95% Confidence Interval (CI) = 0.022-58.64%) and 1.0 (OR = 1.02; 95% Confidence Interval (CI) = 0.020-51.97%) times more associated to be positive than sedentary and mixed farming systems, respectively. The odds of nomadic animal movement in the area was 0.7 (OR = 0.57; 95% Confidence Interval (CI) = 0.014-38.06%) times more associated to be positive than in areas where no nomadic movement was observed. In addition, the odds of an outbreak of PPR in the area were 1.0 (OR = 1.00; 95% Confidence Interval (CI) = 0.018-46.73%) times more associated to be positive than in areas where no outbreak of PPR was observed.

CONCLUSIONS

It was concluded that many northern regions considered endemic for PPR, large and small ruminants are kept and reared together making numerous chances for virus transmission dynamic, so a big threats of disease spread exist in the region. The results of the present study would contribute to the global goal of controlling and eradicating PPR by 2030.

摘要

背景

小反刍兽疫(PPR)是世界动物卫生组织(WOAH)通报的一种具有重要经济意义的、高度传染性的小反刍动物病毒性疾病。小反刍兽疫病毒(PPRV)属于副黏病毒科麻疹病毒属。

目的

本横断面流行病学调查旨在评估巴基斯坦北部被忽视的边境地区小反刍兽疫(PPR)的流行率,并确定与该病相关的风险因素。

方法

2020-2021 年,从绵羊(n=324)、山羊(n=328)、牛(n=324)和水牛(n=324)中采集了 1300 份血清(n=328)和拭子(n=972),共 150 个羊群/畜群。使用酶联免疫吸附试验(ELISA)检测血清中的病毒抗体或拭子中的抗原。

结果

在所研究的地区,总流行率为 38.7%(504 份样本),估计的真实流行率(根据罗根和格拉登估计器计算)为 41.0%(95%置信区间,38.0-44)。吉尔吉特地区的流行率最高,为 53.4%(85 份样本),真实流行率为 57.0%,95%置信区间为 53.0-61.0%;斯瓦特地区的流行率最低,为 53%(25.1%),真实流行率为 26.0%,95%置信区间为 20.0-33.0%。设计了一份问卷来收集与相关风险因素有关的数据,并将这些数据纳入单变量逻辑回归分析,以减少非必要的假设风险动态,临界 P 值为 0.25。使用 ArcGIS 10.8.1 设计热点地图,并使用 MedCalc 的在线统计软件计算比值比(OR)。在多变量逻辑回归分析中,一些风险因素有显著差异(P<0.05),包括畜群/畜群规模、养殖方式、游牧动物移动和 PPR 暴发。大型畜群/畜群的阳性可能性是小型畜群/畜群的 1.7 倍(OR=1.79;95%置信区间,0.034-91.80%)。游牧和游牧系统的阳性可能性分别是固定和混合养殖系统的 1.1 倍(OR=1.15;95%置信区间,0.022-58.64%)和 1.0 倍(OR=1.02;95%置信区间,0.020-51.97%)。在该地区,游牧动物移动的阳性可能性是在没有游牧动物移动的地区的 0.7 倍(OR=0.57;95%置信区间,0.014-38.06%)。此外,该地区发生 PPR 暴发的阳性可能性是在没有 PPR 暴发的地区的 1.0 倍(OR=1.00;95%置信区间,0.018-46.73%)。

结论

研究表明,许多被认为是小反刍兽疫地方性流行的北部地区,大、小反刍动物一起饲养和养殖,为病毒传播动态提供了许多机会,因此该地区存在着疾病传播的巨大威胁。本研究的结果将有助于实现到 2030 年控制和消灭小反刍兽疫的全球目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d83/11118733/d310ba730f1c/12917_2024_4033_Fig1_HTML.jpg

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