Rapid assessment of public interest in drought and its likely drivers in South Africa.

Q3 Medicine Journal of Emergency Management Pub Date : 2024-04-03 DOI:10.5055/jem.0834
Robyn J Bayne, Des Pyle, Masterson Chipumuro, Roman Tandlich
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Abstract

The monthly search volumes for drought were extracted from Google® for South Africa using the Keywordsevery-where.com plugin from January 2004 until June 2022. To identify the potential qualitative drivers for such public interest the following data extracted by the plugin were investigated and analysed: the drought-related keywords, the long-tail keywords similar to drought, and the "people also searched for category" from the South African users. The Google Trends monthly score was extracted for South Africa and the Eastern Cape Province, and specific local municipalities/towns/cities in the province. The aim was to assess the relative significance of the drought interest in comparison to public interest in other search terms. The results of the Kruskal-Wallis analyses of variance by ranks showed that there was a statistically significant difference between individual values of the monthly search volumes for drought in South Africa, as a function of time of data extraction (5 percent level of significance; p-value ≤ 4.7 × 10-14). The monthly search volumes increased with time, which is based on the results of the Mann-Kendall test at a 5 percent level of significance (p-value ≤ 0.0092). Analyses of the Google Trends scores indicate that the relative interest in drought in South Africa and the Eastern Cape Province increased with time between January 2004 and June 2022 (the Mann-Kendall test at a 5 percent level of significance; p-value = 0.0011). The population's searches for drought were relatively low when compared to other search terms on Google. Drought adaptation of the South African community could be considered a driver of the Google searches for drought, but it is a marginal topic compared to other topics in Google searches. It might be necessary to increase this significance by investigating the "Google-search patterns for droughts" in the areas of Tshikaro, Mafusini, Cofimvaba, and Nxotsheni in the Eastern Cape Province of South Africa.
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快速评估南非公众对干旱及其可能驱动因素的兴趣。
从 2004 年 1 月到 2022 年 6 月,我们使用 Keywordsevery-where.com 插件从 Google® 中提取了南非的干旱月搜索量。为了确定这种公众兴趣的潜在定性驱动因素,对插件提取的以下数据进行了调查和分析:与干旱相关的关键词、与干旱相似的长尾关键词以及南非用户的 "也搜索过的人 "类别。提取了南非和东开普省以及该省特定市/镇/城市的谷歌趋势月度得分。目的是评估与其他搜索词的公众兴趣相比,干旱兴趣的相对重要性。Kruskal-Wallis 等级方差分析结果表明,南非干旱月搜索量的个体值与数据提取时间的函数之间存在显著的统计学差异(显著性水平为 5%;P 值 ≤ 4.7 × 10-14)。月搜索量随着时间的推移而增加,这是基于 5% 显著性水平的 Mann-Kendall 检验结果(p 值≤ 0.0092)。对谷歌趋势得分的分析表明,在 2004 年 1 月至 2022 年 6 月期间,南非和东开普省对干旱的相对兴趣随着时间的推移而增加(5% 显著性水平的 Mann-Kendall 检验;p 值 = 0.0011)。与谷歌上的其他搜索词相比,人们对干旱的搜索相对较少。南非社区对干旱的适应可以说是谷歌搜索干旱的一个驱动因素,但与谷歌搜索的其他主题相比,这只是一个边缘主题。也许有必要通过调查南非东开普省 Tshikaro、Mafusini、Cofimvaba 和 Nxotsheni 地区的 "谷歌搜索干旱模式 "来提高其重要性。
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来源期刊
Journal of Emergency Management
Journal of Emergency Management Medicine-Emergency Medicine
CiteScore
1.20
自引率
0.00%
发文量
67
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