Disaster Medicine and Public Health Preparedness
Top medRxiv preprints most likely to be published in this journal, ranked by match strength.
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Coronavirus pandemic outbreak from China in the December 2019 and since then has quickly spread all over the world. National governments introduced policies aimed to reduce the probability to contract the virus, such as lockdown measures, in order to limit the outbreak. Lockdown fostered a debate about the effective need and the optimal duration of such measures. Indeed, these policies have a high price, being characterized by the alt of many productive activities. The aim of this note is to pro...
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BackgroundUsing social media surveillance data, this study aimed to assess public attention, risk perception, emotion, and behavioural response to the COVID-19 outbreak in real time. MethodsWe collected data from most popular social medias: Sina Weibo, Baidu search engine, and Ali e-commerce marketplace, from 1 Dec 2019 to 15 Feb 2020. Weibo post counts and Baidu searches were used to generate indices assessing public attention. Public intention and actual adoption of recommended protection mea...
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BackgroundWisconsin (WI) held a primary election in the midst of the COVID-19 pandemic. Live voting at polls was allowed despite concern over increasing the spread of COVID-19. In addition to 1.1 million absentee ballots cast, 453,222 persons voted live. The purpose of our study was to determine if an increase in COVID-19 activity was associated with the election. MethodsUsing the voting age population for the United States (US), WI, and its 3 largest counties, and daily new COVID-19 case repor...
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BackgroundEarly detection of disease outbreak is among the most critical role of the sub-national authorities as mandated by the health decentralization policy. Given the continuous growth of Internet penetration and dependencies of the society on the digital ecosystem, it is essential to investigate the potential innovations to improve the existing surveillance system using digital epidemiology. Several studies, including in Indonesia, have assessed the roles of Google Trends (GT) to improve de...
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BackgroundNeglected tropical diseases (NTDs), including dengue, chikungunya, lymphatic filariasis, and kala-azar, pose significant public health burdens in India. Despite WHO recommendations for enhanced disease surveillance and targeted communication strategies, little is known about public perceptions and discussions of these diseases across digital platforms. Understanding these perceptions can guide evidence-based policy making and public health messaging. MethodsWe conducted an in silico a...
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This study aims to provide an accessible and dynamic estimate method to project the Covid-19 trend and hopefully it will help inform policymakers to allocate the needed medical equipment and supplies for saving more lives. A set of newly developed Pandemic Projection Measures (PPM) had been successfully applied to project daily new cases across countries. During the development, numerous trial and error iterations had been performed and then improved with live data. The procedures and computatio...
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BackgroundIn December 2019, some COVID-19 cases were first reported and soon the disease broke out. As this dreadful disease spreads rapidly, the mass media has been active in community education on COVID-19 by delivering health information about this novel coronavirus. MethodsWe adopted the Huike database to extract news articles about coronavirus from major press media, between January 1st, 2020, to February 20th, 2020. The data were sorted and analyzed by Python software and Python package J...
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Stress on students is a condition that occurs when there is pressure at school that makes students feel burdened. This study aims to determine the factors related to stress in students who attend school with online media during the covid-19 pandemic at SDN Jayamulya 1 Kab. Karawang. This study uses a descriptive analytic design with a cross sectional approach with a population of 57 respondents and the sample used is 57 respondents. The results of this study there is a relationship between high ...
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BackgroundMobile Phone Dependence Syndrome (MPDS), a kind of addiction caused by extra phone use, is characterized by impairment of physical, mental, and social functioning. This study aimed to assess the prevalence of MPDS, injury due to overfocusing on phone, and explore MPDSs associated factors among middle school students in Guangzhou, China. Methods1928 questionnaires were collected from April 2023 to May 2023 in Liwan and Nansha districts of Guangzhou through multi-stage cluster sampling....
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The novel Corona-virus (COVID-2019) epidemic has posed a global threat to human life and society. The whole world is working relentlessly to find some solutions to fight against this deadly virus to reduce the number of deaths. Strategic planning with predictive modelling and short term forecasting for analyzing the situations based on the worldwide available data allow us to realize the future exponential behaviour of the COVID-19 disease. Time series forecasting plays a vital role in developin...
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Background and ObjectivesThe aim of this study is to predict the quantity of blood donations in major Chinese cities from 2023 to 2026. Blood is a scarce and perishable resource, and its availability in a particular area depends on the amount of blood donated in that area. Therefore, it is essential for healthcare providers and policymakers to have accurate predictions of future blood donation quantities in order to plan for transfusion treatments and operations. This study aims to provide insig...
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Background and objectivesThe COVID-19 pandemic has been recognized as a cause of direct and indirect psychological consequences that impact mental health such as acute stress disorders, anxiety, irritability, poor concentration, and insomnia. This study was planned to evaluate the sleep quality and mental health of undergraduate students amidst the COVID-19 lockdown of 2021. Materials and MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where 261 undergraduate ...
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Aim/purposeTo analyze the epidemiology of vitamin D deficiency in northern Henan province, to lay the foundation for prevention and treatment of vitamin D deficiency and the vitamin D related diseases. MethodsWe collected the basic information including gender, age, and vitamin D concentration of 22184 people who detected the 25 hydroxyvitamin D concentration in the Third Affiliated Hospital of Xinxiang Medical University from June 2020 to May 2023, analyzed the vitamin D deficiency distributio...
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AimsTo investigate the prognostic value of admission blood glucose (BG) in predicting COVID-19 outcomes, including poor composite outcomes (mortality/severity), mortality, and severity. Materials and methodsEligible studies evaluating the prognostic value of fasting BG (FBG) and random BG (RBG) levels in predicting COVID-19 outcomes were included and assessed for risk of bias with the Quality in Prognosis Studies tool. Random-effects high-vs-low meta-analysis followed by dose-response analysis ...
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After disasters, direct deaths and secondary health effects, such as diabetes and psychological distress, can occur. It is critical to compare the magnitudes of these risks to promote effective public health measures. In this study, we used the loss of happy life expectancy (LHpLE) to compare the risks associated with diabetes, psychological distress, and radiation-induced cancer after the 2011 Fukushima disaster. Two questionnaire surveys were conducted on people affected by the disaster to inv...
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COVI-19 is a variant of coronavirus diseases that has destabilised the entire world and whose cure as at mid-2020 has become elusive. Social media is ablaze with discussions around the pandemic. There is the dire need to delineate the on-going conversations on the infection with the intention of creating awareness on peoples reaction, opinion, action and recommendation that are inimical to the wellbeing of the populace. Hence, this study is geared towards performing thematic analysis of the disc...
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ObjectivesElucidating how people think and behave during a disease outbreak may provide valuable insight and help direct programs or surveillance to combat the spread of disease. As universities welcomed students back to their campuses following COVID-19 shutdowns, it became important to know students beliefs on COVID-19 and how these beliefs guided behaviors? The objective of this study was to determine how students at East Carolina University felt about COVID-19, which behaviors they exhibite...
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OBJECTIVEThis study aimed to identify the various factors associated with stress and how those factors affect academic performance among high school students in Lusaka BACKGROUNDThe word stress brings about the thoughts of depression, anxiety and other potentially life-threatening conditions in the mind of an individual. Every person is exposed to stress at some point in their lives, and it is an inevitable part of a students life as it takes a toll on their emotional well-being, academic perfo...
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PurposeTo assess the prevalence and severity of anxiety, depression, and stress among optometry students in Nigeria, and to identify demographic factors associated with mental distress. MethodsA cross-sectional, web-based survey was administered to optometry students from 11 Nigerian universities between 16 April and 18 November 2024. Mental health status was evaluated using the Depression, Anxiety, and Stress Scale-21 (DASS-21). Collected data included age, gender, year of study, marital statu...
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The ongoing pandemic of COVID-19 has aroused widespread concern around the world and poses a severe threat to public health worldwide. In this paper, the autoregressive integrated moving average (ARIMA) model was used to predict the epidemic trend of COVID-19 in mainland of China. We collected the cumulative cases, cumulative deaths, and cumulative recovery in mainland of China from January 20 to June 30, 2020, and divided the data into experimental group and test group. The ARIMA model was fitt...