The impact of mass vaccination policy and control measures on lumpy skin disease cases in Thailand: insights from a Bayesian structural time series analysis

被引:7
作者
Punyapornwithaya, Veerasak [1 ,2 ,3 ]
Arjkumpa, Orapun [4 ]
Buamithup, Noppawan [5 ]
Jainonthee, Chalita [1 ,2 ]
Salvador, Roderick [6 ]
Jampachaisri, Katechan [7 ]
机构
[1] Chiang Mai Univ, Fac Vet Med, Res Ctr Vet Biosci & Vet Publ Hlth, Chiang Mai, Thailand
[2] Chiang Mai Univ, Fac Vet Med, Vet Publ Hlth & Food Safety Ctr Asia Pacific VPHCA, Chiang Mai, Thailand
[3] Chiang Mai Univ, Fac Vet Med, Dept Vet Biosci & Vet Publ Hlth, Chiang Mai, Thailand
[4] Dept Livestock Dev, Reg Livestock Off 4, Khon Kaen, Thailand
[5] Dept Livestock Dev, Bangkok, Thailand
[6] Cent Luzon State Univ, Coll Vet Sci & Med, Sci City Of Munoz, Nueva Ecija, Philippines
[7] Naresuan Univ, Fac Sci, Dept Math, Phitsanulok, Thailand
关键词
lumpy skin disease; intervention; mass vaccination; Bayesian structural time series; causal impact; Thailand; CAUSAL IMPACT; COVID-19; PREVENTION; VIRUS; MODEL;
D O I
10.3389/fvets.2023.1301546
中图分类号
S85 [动物医学(兽医学)];
学科分类号
0906 ;
摘要
Introduction: In 2021, Thailand reported the highest incidence of lumpy skin disease (LSD) outbreaks in Asia. In response to the widespread outbreaks in cattle herds, the government's livestock authorities initiated comprehensive intervention measures, encompassing control strategies and a national vaccination program. Yet, the efficacy of these interventions remained unevaluated. This research sought to assess the nationwide intervention's impact on the incidence of new LSD cases through causal impact analysis.Methods: Data on weekly new LSD cases in Thailand from March to September 2021 was analyzed. The Bayesian structural time series (BSTS) analysis was employed to evaluate the causal relationship between new LSD cases in the pre-intervention phase (prior to the vaccination campaign) and the post-intervention phase (following the vaccination campaign). The assessment involved two distinct scenarios, each determined by the estimated effective intervention dates. In both scenarios, a consistent decline in new LSD cases was observed after the mass vaccination initiative, while other control measures such as the restriction of animal movement, insect control, and the enhancement of the active surveillance approach remained operational throughout the pre-intervention and the post-intervention phases.Results and discussion: According to the relative effect results obtained from scenario A and B, it was observed that the incidence of LSD cases exhibited reductions of 119% (95% Credible interval [CrI]: -121%, -38%) and 78% (95% CrI: -126, -41%), respectively. The BSTS results underscored the significant influence of these interventions, with a Bayesian one-sided tail-area probability of p < 0.05. This model-based study provides insight into the application of BSTS in evaluating the impact of nationwide LSD vaccination based on the national-level data. The present study is groundbreaking in two respects: it is the first study to quantify the causal effects of a mass vaccination intervention on the LSD outbreak in Thailand, and it stands as the only endeavor of its kind in the Asian context. The insights collected from this study hold potential value for policymakers in Thailand and other countries at risk of LSD outbreaks.
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页数:9
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共 56 条
[21]   Interrupted time series analysis in drug utilization research is increasing: systematic review and recommendations [J].
Jandoc, Racquel ;
Burden, Andrea M. ;
Mamdani, Muhammad ;
Levesque, Linda E. ;
Cadarette, Suzanne M. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2015, 68 (08) :950-956
[22]   Neethling vaccine proved highly effective in controlling lumpy skin disease epidemics in the Balkans [J].
Klement, Eyal ;
Broglia, Alessandro ;
Antoniou, Sotiria-Eleni ;
Tsiamadis, Vangelis ;
Plevraki, E. ;
Petrovic, Tamas ;
Polacek, Vladimir ;
Debeljak, Zoran ;
Miteva, Aleksandra ;
Alexandrov, Tsviatko ;
Marojevic, Drago ;
Pite, Ledi ;
Kondratenko, Vanja ;
Atanasov, Zoran ;
Gubbins, Simon ;
Stegeman, Arjan ;
Abrahantes, Jose Cortinas .
PREVENTIVE VETERINARY MEDICINE, 2020, 181
[23]   Interruption time series analysis using autoregressive integrated moving average model: evaluating the impact of COVID-19 on the epidemic trend of gonorrhea in China [J].
Li, Yanyan ;
Liu, Xingyan ;
Li, Xinxiao ;
Xue, Chenlu ;
Zhang, Bingjie ;
Wang, Yongbin .
BMC PUBLIC HEALTH, 2023, 23 (01)
[24]   Understanding the research advances on lumpy skin disease: A comprehensive literature review of experimental evidence [J].
Liang, Zhengji ;
Yao, Kaishen ;
Wang, Shasha ;
Yin, Juanbin ;
Ma, Xiaoqin ;
Yin, Xiangping ;
Wang, Xiangwei ;
Sun, Yuefeng .
FRONTIERS IN MICROBIOLOGY, 2022, 13
[25]   Clinicopathological and molecular studies on cattle naturally infected with lumpy skin diseases in selected districts of Wolaita Zone, Southern Ethiopia [J].
Mathewos, Mesfin ;
Dulo, Fistum ;
Tanga, Zewdneh ;
Sombo, Melaku .
BMC VETERINARY RESEARCH, 2022, 18 (01)
[26]   First Report of Lumpy Skin Disease in Myanmar and Molecular Analysis of the Field Virus Isolates [J].
Maw, Min Thein ;
Khin, Myint Myint ;
Hadrill, David ;
Meki, Irene Kasindi ;
Settypalli, Tirumala Bharani Kumar ;
Kyin, Maung Maung ;
Myint, Win Win ;
Thein, Wai Zin ;
Aye, Ohnmar ;
Palamara, Elisa ;
Win, Ye Tun ;
Cattoli, Giovanni ;
Lamien, Charles Euloge .
MICROORGANISMS, 2022, 10 (05)
[27]   Identifying the patterns and sizes of the first lumpy skin disease outbreak clusters in Northern Thailand with a high degree of dairy farm aggregation using spatio-temporal models [J].
Modethed, Wittawat ;
Singhla, Tawatchai ;
Boonsri, Kittikorn ;
Pringproa, Kidsadagon ;
Sthitmatee, Nattawooti ;
Vinitchaikul, Paramintra ;
Sansamur, Chalutwan ;
Kreausukon, Khwanchai ;
Punyapornwithaya, Veerasak .
PLOS ONE, 2023, 18 (11)
[28]   Modelling epidemic growth models for lumpy skin disease cases in Thailand using nationwide outbreak data, 2021-2022 [J].
Moonchai, Sompop ;
Himakalasa, Adsadang ;
Rojsiraphisal, Thaned ;
Arjkumpa, Orapun ;
Panyasomboonying, Pawares ;
Kuatako, Noppasorn ;
Buamithup, Noppawan ;
Punyapornwithaya, Veerasak .
INFECTIOUS DISEASE MODELLING, 2023, 8 (01) :282-293
[29]   Perception of low social pressure and lack of capacity reduces vaccination compliance - The case of lumpy skin disease [J].
Morgenstern, Michal ;
Sok, Jaap ;
Klement, Eyal .
TRANSBOUNDARY AND EMERGING DISEASES, 2022, 69 (05) :E2779-E2788
[30]   Forecasting the Trends of Covid-19 and Causal Impact of Vaccines Using Bayesian Structural time Series and ARIMA [J].
Navas Thorakkattle M. ;
Farhin S. ;
khan A.A. .
Annals of Data Science, 2022, 9 (05) :1025-1047