Hurricanes and hashtags: Characterizing online collective attention for natural disasters.
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ABSTRACT:
SUBMITTER: Arnold MV
PROVIDER: S-EPMC8153433 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The relationship between natural disasters and communicable diseases is frequently misconstrued. The risk for outbreaks is often presumed to be very high in the chaos that follows natural disasters, a fear likely derived from a perceived association between dead bodies and epidemics. However, the risk factors for outbreaks after disasters are associated primarily with population displacement. The availability of safe water and sanitation facilities, the degree of crowding, the underlying health status of the population, and the availability of healthcare services all interact within the context of the local disease ecology to influence the risk for communicable diseases and death in the affected population. We outline the risk factors for outbreaks after a disaster, review the communicable diseases likely to be important, and establish priorities to address communicable diseases in disaster settings.
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Project description:OBJECTIVE:To estimate the long-run mortality effects of Hurricanes Katrina and Rita on seniors with diabetes. RESEARCH DESIGN AND METHODS:We performed a retrospective cohort analysis of Medicare enrollment and claims data covering four states and ?10 years. Affected individuals were identified by whether they lived in a county that suffered a high impact and were stratified by whether they moved to a different county following the storms. Propensity scores matched affected and comparison subjects based on demographic and socioeconomic characteristics and the presence of chronic conditions. Our sample consisted of 170,328 matched affected subjects. RESULTS:The affected subjects had a nearly 40% higher all-cause mortality risk in the 1st month after the storms, but the difference fell to <6% by the end of the full observation period. The mortality risks of heart disease and nephritis also exhibited the largest differences immediately following the storms. Among the affected subjects, the all-cause mortality risk was higher for those who moved to a different county, with an especially large difference among those who moved to an affected county. CONCLUSIONS:The propensity matching procedure resulted in the comparison and affected groups having similar observable characteristics. However, we only examined the extreme outcome of mortality, our definition of affected was somewhat crude, and our sample did not include individuals enrolled in Medicare Advantage. Our findings highlight the importance of the immediate response to disasters, yet also demonstrate the long-lasting impact disasters can have.
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Project description:BackgroundAlthough past research has focused on COVID-19-related frames in the news media, such research may not accurately capture and represent the perspectives of people from diverse backgrounds. Additionally, research on the public attention to COVID-19 as reflected through frames on social media is scarce.ObjectiveThis study identified the frames about the COVID-19 pandemic in the public discourse on Twitter, which voices diverse opinions. This study also investigated the amount of public attention to those frames on Twitter.MethodsWe collected 22 trending hashtags related to COVID-19 in the United States and 694,582 tweets written in English containing these hashtags in March 2020 and analyzed them via thematic analysis. Public attention to these frames was measured by evaluating the amount of public engagement with frames and public adoption of those frames.ResultsWe identified 9 frames including "public health guidelines," "quarantine life," "solidarity," "evidence and facts," "call for action," "politics," "post-pandemic life," "shortage panic," and "conflict." Results showed that some frames such as "call for action" are more appealing than others during a global pandemic, receiving greater public adoption and engagement. The "call for action" frame had the highest engagement score, followed by "conflict" and "evidence and facts." Additionally, "post-pandemic life" had the highest adoption score, followed by "call for action" and "shortage panic." The findings indicated that the frequency of a frame on social media does not necessarily mean greater public adoption of or engagement with the frame.ConclusionsThis study contributes to framing theory and research by demonstrating how trending hashtags can be used as new user-generated data to identify frames on social media. This study concludes that the identified frames such as "quarantine life" and "conflict" and themes such as "isolation" and "toilet paper panic" represent the consequences of the COVID-19 pandemic. The consequences could be (1) exclusively related to COVID-19, such as hand hygiene or isolation; (2) related to any health crisis such as social support of vulnerable groups; and (3) generic that are irrespective of COVID-19, such as homeschooling or remote working.
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