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21.
All together to fight COVID-19
Sara Momtazmanesh, Hans D. Ochs, Lucina Q. Uddin, Matjaž Perc, John M. Routes, Duarte Nuno Vieira, Waleed Al-Herz, Safa Baris, Carolina Prando, Laszlo Rosivall, Amir Hamzah Abdul Latiff, Timo Ulrichs, Vasili Roudenok, Juan Carlos Aldave Becerra, Deepak B. Salunke, Ekaterini Goudouris, Antonio Condino-Neto, Anzhela Stashchak, Oleksandr Kryvenko, Mykola Stashchak, Anastasia Bondarenko, Nima Rezaei, 2020, polemic, discussion, commentary

Abstract: Novel coronavirus disease (COVID-19), named a pandemic by the WHO, is the current global health crisis. National and international collaboration are indispensable for combating COVID-19 and other similar potential outbreaks. International efforts to tackle this complex problem have led to remarkable scientific advances. Yet, as a global society, we can and must take additional measures to fight this pandemic. Undoubtedly, our approach toward COVID-19 was not perfect, and testing has not been deployed fast enough to arrest the epidemic early on. It is critical that we revise our approaches to be more prepared for pandemics as a united body by promoting global cooperation and commitment.
Keywords: COVID-19, coronavirus, pandemic, disease dynamics, exponential growth, virality
Published: 12.11.2020; Views: 190; Downloads: 48
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22.
City size and the spreading of COVID-19 in Brazil
Haroldo V. Ribeiro, Andre S. Sunahara, Jack Sutton, Matjaž Perc, Quentin S. Hanley, 2020, original scientific article

Abstract: The current outbreak of the coronavirus disease 2019 (COVID-19) is an unprecedented example of how fast an infectious disease can spread around the globe (especially in urban areas) and the enormous impact it causes on public health and socio-economic activities. Despite the recent surge of investigations about different aspects of the COVID-19 pandemic, we still know little about the effects of city size on the propagation of this disease in urban areas. Here we investigate how the number of cases and deaths by COVID-19 scale with the population of Brazilian cities. Our results indicate small towns are proportionally more affected by COVID-19 during the initial spread of the disease, such that the cumulative numbers of cases and deaths per capita initially decrease with population size. However, during the long-term course of the pandemic, this urban advantage vanishes and large cities start to exhibit higher incidence of cases and deaths, such that every 1% rise in population is associated with a 0.14% increase in the number of fatalities per capita after about four months since the first two daily deaths. We argue that these patterns may be related to the existence of proportionally more health infrastructure in the largest cities and a lower proportion of older adults in large urban areas. We also find the initial growth rate of cases and deaths to be higher in large cities; however, these growth rates tend to decrease in large cities and to increase in small ones over time.
Keywords: COVID-19, coronavirus, scaling, city size, epidemic, prediction
Published: 12.11.2020; Views: 172; Downloads: 106
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23.
COLOSS survey: global impact of COVID-19 on bee research
Raffaele Dall’Olio, Tjeerd Blacquiere, Maria Bouga, Robert Brodschneider, Norman L Carreck, Panuwan Chantawannakul, Vincent Dietemann, Lotta Fabricius Kristiansen, Anna M. Gajda, Aleš Gregorc, Asli Ozkirim, Christian Pirk, Victoria Soroker, Geoffrey R. Williams, Peter Neumann, review article

Abstract: The socio-economic impacts of COVID-19 on society have yet to be truly revealed; there is no doubt that the pandemic has severely affected the daily lives of most of humanity. It is to be expected that the research activities of scientists could be impacted to varying degrees, but no data exist on how COVID-19 has affected research specifically. Here, we show that the still ongoing COVID-19 pandemic has already diversely and negatively affected bee research at a global level. An online survey disseminated through the global COLOSS honey bee research association showed that every participant (n = 230 from 56 countries) reported an impact on one or more of their activities. Activities that require travelling or the physical presence of people (meetings and conferences, teaching and extension) were affected the most, but also laboratory and field activities, daily operations, supervision and other activities were affected to varying degrees. Since the basic activities are very similar for many research fields, it appears as if our findings for bee research can be extrapolated to other fields. In the light of our data, we recommend that stakeholders such as governments and funding bodies who support research should facilitate the wide implementation of web-based information technology required for efficient online communication for research and education, as well as adequately loosened restriction measures with respect to field and laboratory work. Finally, increased flexibility in administration and extension of research grants and fellowships seem to be needed. It is apparent that adequate responses by all stakeholders are required to limit the impact of COVID-19 and future pandemics on bee science and other research fields.
Keywords: COLOSS, Apis mellifera, coronavirus, COVID-19, honey bee, pandemic, research, extension
Published: 12.11.2020; Views: 160; Downloads: 67
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24.
Izbruh nCOV 19 in letne olimpijske igre na Japonskem
Jure Hudobivnik, 2020, undergraduate thesis

Abstract: Izbruh novega korona virusa, Covid-19, je močno pretresel ves svet. V diplomski nalogi smo se osredotočili na čim bolj enostavno razlago osnovnih podatkov o virusu in njegovem izbruhu in predstavili časovnico o tem, kako se je vse začelo in kako se je virus širil.
Keywords: korona virus, Covid-19, izbruh, ukrepi, olimpijske igre
Published: 11.11.2020; Views: 208; Downloads: 58
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25.
Supplementary material for paper Modeling compliance with COVID-19 prevention guidelines: the critical role of trust in science
Nejc Plohl, Bojan Musil, 2021, original scientific article

Abstract: The coronavirus pandemic is one of the biggest health crises of our time. In response to this global problem, various institutions around the world had soon issued evidence-based prevention guidelines. However, these guidelines, which were designed to slow the spread of COVID-19 and contribute to public well-being, are (deliberately) disregarded by some individuals. In the present study, we aimed to develop and test a multivariate model that could help us identify individual characteristics that make a person more/less likely to comply with COVID-19 prevention guidelines. A total of 525 attentive participants completed the online survey. The results of structural equation modeling (SEM) show that COVID-19 risk perception and trust in science both independently predict compliance with COVID-19 prevention guidelines, while the remaining variables in the model (political conservatism, religious orthodoxy, conspiracy ideation and intellectual curiosity) do so via the mediating role of trust in science. The described model exhibited an acceptable fit ([chi sup]2(1611) = 2485.84, [rho]<.001, CFI=.91, RMSEA=.032, SRMR=.055). These findings thus provide empirical support for the proposed multivariate model and underline the importance of trust in science in explaining the different levels of compliance with COVID-19 prevention guidelines.
Keywords: coronavirus, covid-19, prevention guidelines, compliance, trust in science
Published: 10.11.2020; Views: 257; Downloads: 68
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26.
Podatki COVID-19 sledilnika
2020, complete scientific database or corpus

Abstract: Projekt zbira, analizira in objavlja podatke o širjenju koronavirusa SARS-CoV-2, ki povzroča bolezen COVID-19 v Sloveniji. Javnosti želimo omogočiti čim boljši pregled nad razsežnostjo težave in pravilno oceno tveganja. Podatke zbiramo iz različnih javno dostopnih virov, od sobote, 28. marca dalje pa imamo vzpostavljeno tudi direktno povezavo z zdravstvenimi zavodi in NIJZ. Ti nam pošiljajo strukturirane podatke, ki jih potem validiramo in oblikujemo v obliko, primerno za vizualizacije in predstavitev javnosti, kakor tudi za nadaljne delo pri razvoju modelov in napovedi. Ker so podatki iz medijev in nekaterih drugih virov kdaj tudi nejasni in nedosledni, preglednica vključuje tudi opombe o virih in sklepanju na podlagi nepopolnih podatkov. COVID-19 Sledilnik je odprto podatkovni in odprto kodni projekt, ki ne bi bil mogoč brez številnih vnosov in komentarjev v bazo bolj ali manj anonimnih posameznikov, sodelavcev, znancev, kolegov ter izmenjave idej skupnosti na Slacku. Gre za "crowdsourced" projekt, kjer lahko vsak prispeva tako, da vnese kakšen nov vir ali informacijo iz svojega okolja - enostavno jo dodate kot komentar na katerokoli polje v dokumentu. Veseli bomo tudi podatkov iz bolnišnic, štabov Civilne zaščite ipd ali pa zgolj javne podpore v zahtevi za transparentno in ažurno objavljanje podatkov.
Keywords: COVID-19, SARS-CoV-2 coronavirus, COVID-19 sledilnik
Published: 09.11.2020; Views: 2342; Downloads: 64
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27.
Modeling compliance with COVID-19 prevention guidelines
Nejc Plohl, Bojan Musil, 2020, original scientific article

Abstract: The coronavirus pandemic is one of the biggest health crises of our time. In response to this global problem, various institutions around the world had soon issued evidence-based prevention guidelines. However, these guidelines, which were designed to slow the spread of COVID-19 and contribute to public well-being, are (deliberately) disregarded by some individuals. In the present study, we aimed to develop and test a multivariate model that could help us identify individual characteristics that make a person more/less likely to comply with COVID-19 prevention guidelines. A total of 525 attentive participants completed the online survey. The results of structural equation modeling (SEM) show that COVID-19 risk perception and trust in science both independently predict compliance with COVID-19 prevention guidelines, while the remaining variables in the model (political conservatism, religious orthodoxy, conspiracy ideation and intellectual curiosity) do so via the mediating role of trust in science. The described model exhibited an acceptable fit (χ2(1611) = 2485.84, p < .001, CFI = .91, RMSEA = .032, SRMR = .055). These findings thus provide empirical support for the proposed multivariate model and underline the importance of trust in science in explaining the different levels of compliance with COVID-19 prevention guidelines.
Keywords: coronavirus, covid-19, prevention guidelines, compliance, trust in science
Published: 09.11.2020; Views: 224; Downloads: 143
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28.
Research data and software for paper Forecasting COVID-19
Matjaž Perc, Nina Gorišek Miksić, Mitja Slavinec, Andraž Stožer, 2020, original scientific article

Abstract: The World Health Organization declared the coronavirus disease 2019 a pandemic on March 11th, pointing to the over 118,000 cases in over 110 countries and territories around the world at that time. At the time of writing this manuscript, the number of confirmed cases has been surging rapidly past the half-million mark, emphasizing the sustained risk of further global spread. Governments around the world are imposing various containment measures while the healthcare system is bracing itself for tsunamis of infected individuals that will seek treatment. It is therefore important to know what to expect in terms of the growth of the number of cases, and to understand what is needed to arrest the very worrying trends. To that effect, we here show forecasts obtained with a simple iteration method that needs only the daily values of confirmed cases as input. The method takes into account expected recoveries and deaths, and it determines maximally allowed daily growth rates that lead away from exponential increase toward stable and declining numbers. Forecasts show that daily growth rates should be kept at least below 5% if we wish to see plateaus any time soon - unfortunately far from reality in most countries to date. We provide an executable as well as the source code for a straightforward application of the method on data from other countries.
Keywords: COVID-19, pandemic, disease dynamics, exponential growth, virality
Published: 06.11.2020; Views: 289; Downloads: 124
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29.
Forecasting COVID-19
Matjaž Perc, Nina Gorišek Miksić, Mitja Slavinec, Andraž Stožer, 2020, short scientific article

Abstract: The World Health Organization declared the coronavirus disease 2019 a pandemic on March 11th, pointing to the over 118,000 cases in over 110 countries and territories around the world at that time. At the time of writing this manuscript, the number of confirmed cases has been surging rapidly past the half-million mark, emphasizing the sustained risk of further global spread. Governments around the world are imposing various containment measures while the healthcare system is bracing itself for tsunamis of infected individuals that will seek treatment. It is therefore important to know what to expect in terms of the growth of the number of cases, and to understand what is needed to arrest the very worrying trends. To that effect, we here show forecasts obtained with a simple iteration method that needs only the daily values of confirmed cases as input. The method takes into account expected recoveries and deaths, and it determines maximally allowed daily growth rates that lead away from exponential increase toward stable and declining numbers. Forecasts show that daily growth rates should be kept at least below 5% if we wish to see plateaus any time soon - unfortunately far from reality in most countries to date. We provide an executable as well as the source code for a straightforward application of the method on data from other countries.
Keywords: COVID-19, pandemic, disease dynamics, exponential growth, virality
Published: 06.11.2020; Views: 201; Downloads: 46
.pdf Full text (639,28 KB); This document is also a collection of 1 document!

30.
Poučevanje tehnike in tehnologije na daljavo
Katja Krecenbaher Mernik, 2020, master's thesis

Abstract: V letošnjem šolskem letu so se na področju izobraževanja dogajale velike spremembe zaradi širjenja covid-19 in zaprtja vseh izobraževalnih ustanov v mesecu marcu. Poučevanje se je nenadoma začelo izvajati na daljavo in marsikatere ustanove in njihovi zaposleni so se morali hitro seznaniti z nepoznano situacijo ter prilagoditi način dela. Poučevanje na daljavo zajema sinhrono in asinhrono poučevanje, ključno pri tem pa je, da sta učitelj in učenec pri delu prostorsko ločena. Tudi pri poučevanju tehnike in tehnologije so se morali učitelji poslužiti drugačnih metod in oblik dela. V opravljeni raziskavi smo naredili pregled in analizo poučevanja tehnike in tehnologije na daljavo. Vprašalnik je zajemal več sklopov vprašanj, ki so raziskovali uporabljene oblike poučevanja, mnenje o uporabnosti in enostavnosti uporabe raznih spletnih pripomočkov, odnos učiteljev do uporabe takšnih pripomočkov, namero za nadaljnje vključevanje takšnih oblik poučevanja ter primere dobrih praks pri poučevanju na daljavo. Raziskava je pokazala, da so učitelji večinoma uporabljali asinhrono obliko poučevanja na daljavo ter da se je pogostost uporabe določenih oblik poučevanja spremenila. Nekaterim je bila izkušnja težavna, večina učiteljev pa meni, da je bila izkušnja kljub temu poučna. Spletni pripomočki se jim zdijo uporabni in za delo prijetni.
Keywords: covid-19, izobraževanje, tehnika in tehnologija, poučevanje na daljavo
Published: 04.11.2020; Views: 403; Downloads: 275
.pdf Full text (3,65 MB)

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