{"title":"灾害预警信息:基于巴西经验的挑战与机遇","authors":"Murilo Noli da Fonseca, Luciene Pimentel da Silva","doi":"10.1016/j.pdisas.2025.100440","DOIUrl":null,"url":null,"abstract":"<div><div>This research investigates the effectiveness of disaster communication messages in Brazil, with a focus on the structure and content of SMS messages sent out from 2018 to 2023. The Warning Response Model was used for coding. The analysis reveals that only 1.83 % of the 73,701 messages analyzed were complete; that is, they contain all the elements to be effective (source, hazard, location, guidance and time). The results also show that messages about natural hazards achieved the highest scores and that the states of Santa Catarina and Paraná stand out. In contrast, states such as Minas Gerais and Goiás achieved low scores regarding messages about technological risks. In addition, lacking geographical and time specifics, and failing to include details on the potential impacts compromise the effectiveness of the messages. The study highlights that the message length limit of 160 characters is an obstacle to effective communication, which can compromise the population's perception of risk, its adoption of protective actions. The research concludes that optimizing disaster communication messages is crucial to improve disaster response in Brazil, while it recommends using a multichannel system, the continuous training of civil defense agents, and greater community engagement to strengthen resilience.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100440"},"PeriodicalIF":2.6000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Disaster warning messages: challenges and opportunities based on Brazil's experience\",\"authors\":\"Murilo Noli da Fonseca, Luciene Pimentel da Silva\",\"doi\":\"10.1016/j.pdisas.2025.100440\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This research investigates the effectiveness of disaster communication messages in Brazil, with a focus on the structure and content of SMS messages sent out from 2018 to 2023. The Warning Response Model was used for coding. The analysis reveals that only 1.83 % of the 73,701 messages analyzed were complete; that is, they contain all the elements to be effective (source, hazard, location, guidance and time). The results also show that messages about natural hazards achieved the highest scores and that the states of Santa Catarina and Paraná stand out. In contrast, states such as Minas Gerais and Goiás achieved low scores regarding messages about technological risks. In addition, lacking geographical and time specifics, and failing to include details on the potential impacts compromise the effectiveness of the messages. The study highlights that the message length limit of 160 characters is an obstacle to effective communication, which can compromise the population's perception of risk, its adoption of protective actions. The research concludes that optimizing disaster communication messages is crucial to improve disaster response in Brazil, while it recommends using a multichannel system, the continuous training of civil defense agents, and greater community engagement to strengthen resilience.</div></div>\",\"PeriodicalId\":52341,\"journal\":{\"name\":\"Progress in Disaster Science\",\"volume\":\"26 \",\"pages\":\"Article 100440\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Disaster Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590061725000377\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Disaster Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590061725000377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Disaster warning messages: challenges and opportunities based on Brazil's experience
This research investigates the effectiveness of disaster communication messages in Brazil, with a focus on the structure and content of SMS messages sent out from 2018 to 2023. The Warning Response Model was used for coding. The analysis reveals that only 1.83 % of the 73,701 messages analyzed were complete; that is, they contain all the elements to be effective (source, hazard, location, guidance and time). The results also show that messages about natural hazards achieved the highest scores and that the states of Santa Catarina and Paraná stand out. In contrast, states such as Minas Gerais and Goiás achieved low scores regarding messages about technological risks. In addition, lacking geographical and time specifics, and failing to include details on the potential impacts compromise the effectiveness of the messages. The study highlights that the message length limit of 160 characters is an obstacle to effective communication, which can compromise the population's perception of risk, its adoption of protective actions. The research concludes that optimizing disaster communication messages is crucial to improve disaster response in Brazil, while it recommends using a multichannel system, the continuous training of civil defense agents, and greater community engagement to strengthen resilience.
期刊介绍:
Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery.
A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.