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预测构树(paper mulberry)的主要花粉季节。

Predicting the main pollen season of Broussonetia Papyrifera (paper mulberry) tree.

机构信息

The Allergy & Asthma Institute, Islamabad, Pakistan.

Department of Computer Science, National University of Modern Languages, Rawalpindi, Pakistan.

出版信息

PLoS One. 2024 Feb 2;19(2):e0296878. doi: 10.1371/journal.pone.0296878. eCollection 2024.

DOI:10.1371/journal.pone.0296878
PMID:38306347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10836668/
Abstract

Paper mulberry pollen, declared a pest in several countries including Pakistan, can trigger severe allergies and cause asthma attacks. We aimed to develop an algorithm that could accurately predict high pollen days to underpin an alert system that would allow patients to take timely precautionary measures. We developed and validated two prediction models that take historical pollen and weather data as their input to predict the start date and peak date of the pollen season in Islamabad, the capital city of Pakistan. The first model is based on linear regression and the second one is based on phenological modelling. We tested our models on an original and comprehensive dataset from Islamabad. The mean absolute errors (MAEs) for the start day are 2.3 and 3.7 days for the linear and phenological models, respectively, while for the peak day, the MAEs are 3.3 and 4.0 days, respectively. These encouraging results could be used in a website or app to notify patients and healthcare providers to start preparing for the paper mulberry pollen season. Timely action could reduce the burden of symptoms, mitigate the risk of acute attacks and potentially prevent deaths due to acute pollen-induced allergy.

摘要

构树花粉在包括巴基斯坦在内的多个国家被宣布为害虫,它可引发严重过敏反应,并导致哮喘发作。我们旨在开发一种算法,能够准确预测高花粉日,以支持预警系统,使患者能够及时采取预防措施。我们开发并验证了两个预测模型,这些模型将历史花粉和天气数据作为输入,以预测巴基斯坦首都伊斯兰堡花粉季节的开始日期和高峰期。第一个模型基于线性回归,第二个模型基于物候建模。我们在来自伊斯兰堡的原始和综合数据集上测试了我们的模型。线性和物候模型的开始日期的平均绝对误差(MAE)分别为 2.3 和 3.7 天,而高峰期的 MAE 分别为 3.3 和 4.0 天。这些令人鼓舞的结果可用于网站或应用程序,通知患者和医疗保健提供者开始为构树花粉季节做准备。及时采取行动可以减轻症状负担,降低急性发作的风险,并可能防止因急性花粉引起的过敏反应而导致死亡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/2efb602320f2/pone.0296878.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/cd7cb22721a6/pone.0296878.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/8d6d9204548b/pone.0296878.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/d033e8e9b999/pone.0296878.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/cbf1961dc6a4/pone.0296878.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/646729a4f1f1/pone.0296878.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/2efb602320f2/pone.0296878.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/cd7cb22721a6/pone.0296878.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/8d6d9204548b/pone.0296878.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/d033e8e9b999/pone.0296878.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/cbf1961dc6a4/pone.0296878.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/646729a4f1f1/pone.0296878.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0895/10836668/2efb602320f2/pone.0296878.g006.jpg

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本文引用的文献

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Sci Total Environ. 2024 Jan 1;906:167800. doi: 10.1016/j.scitotenv.2023.167800. Epub 2023 Oct 12.
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Predicting the start, peak and end of the Betula pollen season in Bavaria, Germany.
预测德国巴伐利亚州桦树花粉季节的开始、高峰和结束。
Sci Total Environ. 2019 Nov 10;690:1299-1309. doi: 10.1016/j.scitotenv.2019.06.485. Epub 2019 Jun 30.
4
Pollen of Broussonetia papyrifera: An emerging aeroallergen associated with allergic illness in Taiwan.构树花粉:一种与台湾地区过敏疾病相关的新兴空气过敏原。
Sci Total Environ. 2019 Mar 20;657:804-810. doi: 10.1016/j.scitotenv.2018.11.324. Epub 2018 Nov 22.
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Allergy and Asthma Care in the Mobile Phone Era.移动电话时代的过敏与哮喘护理。
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