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. 2024 Apr 12:4:100177.
doi: 10.1016/j.dialog.2024.100177. eCollection 2024 Jun.

Reducing consequences of extreme heat: The role of weather information access

Affiliations

Reducing consequences of extreme heat: The role of weather information access

Nguyen Duc Kien et al. Dialogues Health. .

Abstract

This study investigates the impact of weather information sources on consequences associated with extreme heat events, employing a cross-sectional survey conducted on hospitalized individuals who have experienced heat stress in Central Vietnam. Multiple information channels, including official agencies and social media, were found to significantly reduce the Cost of Illness (COI) associated with heat-related ailments. Social media, in particular, emerged as a potent tool for climate adaptation. Improving the clarity and accessibility of weather information through official channels is crucial, especially for households with varying income levels. Demographic factors such as age and gender should be considered when fine-tuning communication strategies, with special attention given to individuals with underlying medical conditions, who are particularly susceptible to extreme heat effects. These findings underscore the need to maximize the reach of weather-related information and reduce economic burdens on affected populations. This provides valuable insights for policymakers aiming to bolster climate resilience in vulnerable regions like Vietnam, emphasizing the significance of diverse information sources and tailored communication in climate change adaptation.

Keywords: Climate adaptation; Extreme heat events; Vietnam; Vulnerable groups; Weather information sources.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
The study sites in Central Vietnam.
Fig. 2
Fig. 2
Percentages of respondents access to different sources of weather information.
Fig. 3
Fig. 3
Unconditional log(COI) kernel density distributions.

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