Corrigendum to “Prevalence and associated risk factors for mental health problems among female university students during COVID-19 pandemic: A cross-sectional study findings from Dhaka, Bangladesh” [Heliyon 8 (10) (October 2022) Article e10890]

Nahar, Zabun; Sohan, Md.; Supti, Kaniz Farzana; Hossain, Moazzem; Shahriar, Mohammad; Bhuiyan, Mohiuddin Ahmed; Islam, Md Rabiul

doi:10.1016/j.heliyon.2023.e13880

Heliyon

2023

DOI: 10.1016/j.heliyon.2023.e13880

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Corrigendum to “Prevalence and associated risk factors for mental health problems among female university students during COVID-19 pandemic: A cross-sectional study findings from Dhaka, Bangladesh” [Heliyon 8 (10) (October 2022) Article e10890]

Zabun Nahar¹,

Md. Sohan²,

Kaniz Farzana Supti³

et al.

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Potential Use of Artificial Intelligence (AI) in Disaster Risk and Emergency Health Management: A Critical Appraisal on Environmental Health

Bari,

Ahmed,

Ahamed

et al. 2023

Environ�Health�Insights

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The risk evaluation of natural disasters is an obstacle to ensuring healthcare services during catastrophic events worldwide. Therefore, timely and appropriate environmental health risk evaluation is essential. In this study, we incorporated the information from databases such as PubMed, Google Scholar, and Scopus. We performed this study to explore the feasibility of using artificial intelligence (AI) in disaster risk and emergency health management. Natural disasters have some phenomenon that is bound to happen. So, we can use AI to inform healthcare authorities about environmental health risks and emergency medical management. The recent innovations in technology have created novel opportunities for improving healthcare services across the world. AI technology would be the backbone of the fourth industrial revolution because we are entering an AI-based world this decade. Therefore, we suggest the authorities consider this positive aspect of AI technology to minimize the disastrous outcomes of any catastrophic events.

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Potential Use of Artificial Intelligence (AI) in Disaster Risk and Emergency Health Management: A Critical Appraisal on Environmental Health

Bari,

Ahmed,

Ahamed

et al. 2023

Environ�Health�Insights

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Corrigendum to “Prevalence and associated risk factors for mental health problems among female university students during COVID-19 pandemic: A cross-sectional study findings from Dhaka, Bangladesh” [Heliyon 8 (10) (October 2022) Article e10890]

Cited by 1 publication

References 0 publications

Potential Use of Artificial Intelligence (AI) in Disaster Risk and Emergency Health Management: A Critical Appraisal on Environmental Health

Potential Use of Artificial Intelligence (AI) in Disaster Risk and Emergency Health Management: A Critical Appraisal on Environmental Health

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