The impact of past pandemics on economic and gender inequalities

This paper estimates how previous major pandemic events affected economic and gender inequalities in the short- to medium run. We consider the impact of six major pandemic episodes – H3N2 Flu (1968), SARS (2003), H1N1 Swine Flu (2009), MERS (2012), Ebola (2014), and Zika (2016) – on cross-country inequalities in samples of 46–167 countries observed over 1950–2019. Results show that the past pandemics have moderately increased income inequality in the affected countries in the period of four to five years after the pandemic’s start. On the other hand, we do not find any robust negative impacts on wealth inequality. The results concerning gender inequality are less consistent, but we find some evidence of declining gender equality among the hardest hit countries. Moreover, the gender gap in unemployment grew within the four years after the onset of the pandemic.     

Home alone? Effect of weather-induced behaviour on spread of SARS-CoV-2 in Germany

In early 2020 the world was struck by the epidemic of novel SARS-CoV-2 virus. Like many others, German government has introduced severe contact restrictions to limit the spread of infection. This paper analyses effects of weather on the spread of the disease under the described circumstances. We demonstrate that regions reported lower growth rates of the number of the infection cases after days with higher temperatures, no rain and low humidity. We argue that this effect is channelled through human behaviour. The evidence suggests that “good” weather attracts individuals to outdoor (safer) environments, thus, deterring people from indoor (less safe) environments. Understanding this relationship is important for improving the measures aiming at combating the spread of the virus.     

Automatic lung segmentation in COVID-19 patients: Impact on quantitative computed tomography analysis

PurposeTo assess the impact of lung segmentation accuracy in an automatic pipeline for quantitative analysis of CT images.MethodsFour different platforms for automatic lung segmentation based on convolutional neural network (CNN), region-growing technique and atlas-based algorithm were considered. The platforms were tested using CT images of 55 COVID-19 patients with severe lung impairment. Four radiologists assessed the segmentations using a 5-point qualitative score (QS). For each CT series, a manually revised reference segmentation (RS) was obtained. Histogram-based quantitative metrics (QM) were calculated from CT histogram using lung segmentationsfrom all platforms and RS. Dice index (DI) and differences of QMs (ΔQMs) were calculated between RS and other segmentations.ResultsHighest QS and lower ΔQMs values were associated to the CNN algorithm. However, only 45% CNN segmentations were judged to need no or only minimal corrections, and in only 17 cases (31%), automatic segmentations provided RS without manual corrections. Median values of the DI for the four algorithms ranged from 0.993 to 0.904. Significant differences for all QMs calculated between automatic segmentations and RS were found both when data were pooled together and stratified according to QS, indicating a relationship between qualitative and quantitative measurements. The most unstable QM was the histogram 90th percentile, with median ΔQMs values ranging from 10HU and 158HU between different algorithms.ConclusionsNone of tested algorithms provided fully reliable segmentation. Segmentation accuracy impacts differently on different quantitative metrics, and each of them should be individually evaluated according to the purpose of subsequent analyses.     

Exploring human-animal host interactions and emergence of COVID-19: Evolutionary and ecological dynamics

The novel coronavirus disease (COVID-19) that emerged in December 2019 had caused substantial morbidity and mortality at the global level within few months. It affected economies, stopped travel, and isolated individuals and populations around the world. Wildlife, especially bats, serve as reservoirs of coronaviruses from which the variant Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) emerged that causes COVID-19. In this review, we describe the current knowledge on COVID-19 and the significance of wildlife hosts in its emergence. Mammalian and avian coronaviruses have diverse host ranges with distinct lineages of coronaviruses. Recombination and reassortments occur more frequently in mixed-animal markets where diverse viral genotypes intermingle. Human coronaviruses have evolved through gene gains and losses primarily in interfaces where wildlife and humans come in frequent contact. There is a gap in our understanding of bats as reservoirs of coronaviruses and there is a misconception that bats periodically transmit coronaviruses to humans. Future research should investigate bat viral diversity and loads at interfaces between humans and bats. Furthermore, there is an urgent need to evaluate viral strains circulating in mixed animal markets, where the coronaviruses circulated before becoming adapted to humans. We propose and discuss a management intervention plan for COVID-19 and raise questions on the suitability of current containment plans. We anticipate that more virulent coronaviruses could emerge unless proper measures are taken to limit interactions between diverse wildlife and humans in wild animal markets.     

Is social distancing a boon or bane for persons who stutter during COVID-19 pandemic?

The Covid-19 pandemic is an ongoing crisis and is colloquially known as the corona virus pandemic. As no specific treatment protocol are available for this viral infection, social distancing is considered as one of the remedies to prevent the infection. This study aimed to investigate the anxiety issues in persons who stutter (PWS). A total of 110 (55 PWS and 55 Neuro-typical Adults) were enrolled for the study. A questionnaire comprising of two parts on social anxiety and consequences of social distancing was administered on the participants. The results showed that PWS felt more socially anxious. PWS opined that they were comfortable during the corona virus lockdown period, as the situation demanded them to speak minimally to strangers. Neuro-typical adults, on the other hand, reported that they did not observe any change with respect to the social communication skills during lockdown.     

An analytical study of the factors that influence COVID-19 spread

The outbreak of the coronavirus disease 2019 (COVID-19) continues to constitute an international public health emergency. Seasonality is a long-recognized attribute of many viral infections of humans. Nevertheless, the relationship between environmental factors and the spread of infection, particularly for person-to-person communicable diseases, remains poorly understood. This study explores the relationship between environmental factors and the incidence of COVID-19 in 188 countries with reported COVID-19 cases as of April 13, 2020. Here we show that COVID-19 growth rates peaked in temperate zones in the Northern Hemisphere during the outbreak period, while they were lower in tropical zones. The relationships between COVID-19 and environmental factors were resistant to the potentially confounding effects of air pollution, sea level, and population. To prove the effect of those factors, study, and analysis of the prevalence of COVID-19 in Italy, Spain, and China was undertaken. A fuzzy logic system was designed to predict the effects of that variables on the rate of viral spread of COVID-19.     

A genomic screen for yeast mutants defective in mitophagy

Mitochondria autophagy (mitophagy) is the process of selective degradation of mitochondria that has an important role in mitochondrial quality control. To gain insight into the molecular mechanism of mitophagy, we screened a yeast knockout library for strains that are defective in mitophagy. We found 32 strains that showed a complete or partial block of mitophagy. One of the genes identified, YLR356W, is required for mitophagy, but not for macroautophagy or other types of selective autophagy. The deletion of YLR356W partially inhibits mitophagy during starvation, whereas there is almost complete inhibition at post-log phase. Accordingly, we hypothesize that Ylr356w is required to detect or present aged or dysfunctional mitochondria when cells reach the post-log phase.     

新型冠状病毒肺炎疫情对高校微生物学教学带来的挑战与发展机遇

突如其来的新型冠状病毒肺炎疫情使得网上在线教学成为这段时间的唯一教学方式。这一方面给高校的广大师生提出了新的挑战,但同时也给近年来一直进行的高等教育开放式教育教学改革发展潮流按下了加速键。《微生物学通报》以"第十七届全国微生物学教学和科研及成果产业化研讨会"为契机邀稿组织出版的这期"高等院校教学主题刊",很好地反映了近年来在开放式教育形势下我国微生物学教学改革与人才培养的最新进展和发展态势,其中也有文章介绍了疫情期间选择和使用线上教学技术的经验。期望该主题刊的出版有助于进一步促进广大微生物学教师强化互联网意识,打造"互联网+"思维,重塑课堂教学形态,通过广大教师间的教改经验交流与合作,进一步促进我国微生物学课程建设水平与教学质量的全面提升。