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1.
Chinese Journal of Parasitology and Parasitic Diseases ; 40(5):689-691, 2022.
Article in Chinese | EMBASE | ID: covidwho-2319251

ABSTRACT

On December 13, 2020, Yutian County People's hospital reported one imported malaria case in Hotan, Xinjiang. The patient had worked and lived in Yaounde, Cameroon, from January to September 2020. He was infected with malaria twice in March and May 2020. Antimalarial treatment was administrated by the team doctor for 2-3 days in each treatment. The treatment was stopped after the symptoms improved. The patient returned to China on September 16 and was hospitalized on December 13 due to a high fever of 39! and upper respiratory symptoms. Multiple detections of COVID-19 nucleic acid showed negative results. Peripheral blood from the patient was taken for Plasmodium rapid diagnostic test (RDT), which showed a positive result suggesting non Plasmodium falciparum infection. Ring stage P. ovale was found in the blood smear. Nested PCR showed positive for P. ovale. A diagnosis of imported ovale malaria was made. The patient was administrated with 4 dihydroartemisinin piperaquine tablets and 3 primaquine phosphate tablets daily. The malaria parasite test became negative after 8 days of treatment. The patient was followed up for 3 months after discharge and had no symptoms of chills or fever.Copyright © 2022, National Institute of Parasitic Diseases. All rights reserved.

2.
Topics in Antiviral Medicine ; 31(2):216, 2023.
Article in English | EMBASE | ID: covidwho-2318367

ABSTRACT

Background: ASC10 is an oral double prodrug of the active antiviral ribonucleoside analog, ASC10-A (also known as beta-d-N4-hydroxycytidine), which is a potent inhibitor of SARS-CoV-2. ASC10 is rapidly metabolized into ASC10-A in vivo after oral dosing. Here, we report the results of the first-in-human, phase 1 study to determine the safety, tolerability, and pharmacokinetics (PK) of ASC10 in healthy subjects, and to assess the food effect on the pharmacokinetics. Method(s): This study included 2 parts. Part 1 (multiple-ascending-dose) consisted of 6 cohorts (8 or 12 subjects per cohort). Eligible subjects were randomized in a 3:1 ratio to receive either twice-daily (BID) doses of 50 to 800 mg ASC10 or placebo for 5.5 days, and were then followed for 7 days for safety. In Part 2 (food effect), 12 subjects were randomized in a 1:1 ratio to either 800 mg ASC10 in the fed state followed by 800 mg in the fasted state, or vice versa, with a 7-day washout period between doses. PK blood samples were collected and measured for ASC10-A along with ASC10 and molnupiravir. Safety assessments included monitoring of adverse events (AEs), measurement of vital signs, clinical laboratory tests, and physical examinations. Result(s): ASC10-A was the major circulating metabolite ( >99.94%) in subjects after oral dosing of ASC10. ASC10-A appeared rapidly in plasma, with a median Tmax of 1.00 to 2.00 h, and declined with a geometric t1/2 of approximately 1.10 to 3.04 h. After multiple dosing for 5.5 days, both Cmax and AUC of ASC10-A increased in a dose-proportional manner from doses of 50 to 800 mg BID without accumulation. of ASC10-A in the fed state occurred slightly later, with a median of 3.99 h postdose versus 2.00 h (fasted state). However, Cmax and AUC were very similar or the same between fed and fasted states. Thus, administration of ASC10 with food is unlikely to have an effect on exposure. The incidence of AEs was similar between subjects receiving ASC10 or placebo (both 66.7%) and 95.0% of AEs were mild. There were no serious adverse events as well as no clinically significant findings in clinical laboratory, vital signs, or electrocardiography. Conclusion(s): Results of this study showed that ASC10 was well tolerated, and the increase in plasma exposure of ASC10-A was dose proportional across the range of doses tested with no accumulation and no food effect. 800 mg ASC10 BID is selected for further studies in patients infected with SARS-CoV-2.

3.
Chinese General Practice ; 26(5):607-620, 2023.
Article in English | Scopus | ID: covidwho-2246738

ABSTRACT

Background The worldwide COVID-19 pandemic has turned into a global catastrophic public health crisis,and the conclusion about the risk factors of hospital death in COVID-19 patients is not uniform. Objective To explore risk factors of in-hospital death in patients with COVID-19 by a meta-analysis. Methods Case-control studies about risk factors of in-hospital death in COVID-19 patients were searched from databases of the Cochrane Library,ScienceDirect,PubMed,Medline,Wanfang Data,CNKI and CQVIP from inception to October 1,2021. Literature screening,data extraction and methodological quality assessment were conducted. Meta-analysis was performed using Stata 15.1. Meta-regression was used to explore the potential sources of heterogeneity. Results Eighty studies were included which involving 405 157 cases〔349 923 were survivors(86.37%),and 55 234 deaths(13.63%)〕,that were rated as being of high quality by the Newcastle-Ottawa Scale. Meta-analysis showed that being male〔OR=1.49,95%CI(1.41,1.57),P<0.001),older age〔WMD=10.44,95%CI(9.79,11.09),P<0.001〕,dyspnoea〔OR=2.09,95%CI(1.80,2.43),P<0.001〕,fatigue〔OR=1.49,95%CI(1.31,1.69),P<0.001〕,obesity〔OR=1.46,95%CI(1.43,1.50),P<0.001〕,smoking〔OR=1.18,95%CI (1.14,1.23),P<0.001〕,stroke〔OR=2.26,95%CI(1.41,3.62),P<0.001〕,kidney disease〔OR=3.62,95%CI (3.26,4.03),P<0.001〕,cardiovascular disease〔OR=2.34,95%CI(2.21,2.47),P<0.001〕,hypertension〔OR=2.23,95%CI(2.10,2.37),P<0.001〕,diabetes〔OR=1.84,95%CI(1.74,1.94),P<0.001〕,cancer〔OR=1.86,95%CI (1.69,2.05),P<0.001〕,pulmonary disease〔OR=2.38,95%CI(2.19,2.58),P<0.001〕,liver disease〔OR=1.65,95%CI(1.36,2.01),P<0.001〕,elevated levels of white blood cell count〔WMD=2.03,95%CI(1.74,2.32),P<0.001〕,neutrophil count〔WMD=1.77,95%CI(1.49,2.05),P<0.001〕,total bilirubin〔WMD=3.19,95%CI(1.96,4.42),P<0.001〕,aspartate transaminase〔WMD=13.02,95%CI(11.70,14.34),P<0.001〕,alanine transaminase 〔WMD=2.76,95%CI(1.68,3.85),P<0.001〕,lactate dehydrogenase〔WMD=166.91,95%CI(150.17,183.64),P<0.001〕,blood urea nitrogen〔WMD=3.11,95%CI(2.61,3.60),P<0.001〕,serum creatinine〔WMD=22.06,95%CI (19.41,24.72),P<0.001〕,C-reactive protein〔WMD=76.45,95%CI (71.33,81.56),P<0.001〕,interleukin-6 〔WMD=28.21,95%CI(14.98,41.44),P<0.001〕,and erythrocyte sedimentation rate〔WMD=8.48,95%CI(5.79,11.17),P<0.001〕were associated with increased risk of in-hospital death for patients with COVID-19,while myalgia〔OR=0.73,95%CI(0.62,0.85),P<0.001〕,cough〔OR=0.87,95%CI(0.78,0.97),P=0.013〕,vomiting〔OR=0.73,95%CI (0.54,0.98),P=0.030〕,diarrhoea〔OR=0.79,95%CI(0.69,0.92),P=0.001〕,headache〔OR=0.55,95%CI(0.45,0.68),P<0.001〕,asthma〔OR=0.73,95%CI(0.69,0.78),P<0.001〕,low body mass index〔WMD=-0.58,95%CI (-1.10,-0.06),P=0.029〕,decreased lymphocyte count〔WMD=-0.36,95%CI(-0.39,-0.32),P<0.001〕,decreased platelet count 〔WMD=-38.26,95%CI(-44.37,-32.15),P<0.001〕,increased D-dimer〔WMD=0.79,95%CI(0.63,0.95),P<0.001〕,longer prothrombin time〔WMD=0.78,95%CI(0.61,0.94),P<0.001〕,lower albumin〔WMD =-1.88,95%CI(-2.35,-1.40),P<0.001〕,increased procalcitonin〔WMD=0.27,95%CI(0.24,0.31),P<0.001〕,and increased cardiac troponin〔WMD=0.04,95%CI(0.03,0.04),P<0.001〕were associated with decreased risk of in-hospital death due to COVID-19. According to the meta-regression result,the heterogeneity in gender,renal disease,cardiovascular diseases,asthma,white blood cell count,neutrophil count,platelet count,hemoglobin,and urea nitrogen differed siangificnatly by country(P<0.05). Conclusion The risk of in-hospital death due to COVID-19 may be increased by 25 factors(including being male,older age,dyspnoea,fatigue,obesity,smoking,stroke,kidney disease,cardiovascular disease,hypertension,diabetes,cancer,pulmonary disease,liver disease,elevated levels of white blood cells,neutrophil count,total bilirubin,aspartate transaminase,alanine transaminase,lactate dehydrogenase,blood urea nitrogen,serum creatinine,C-reactive protein,interleukin-6,and erythrocyte sedimentation rate),and may be decreased by 13 factors(including myalgia,cough,vomiting,diarrhoea,headache,asthma,low body mass index,decreased lymphocyte count and platelet count,increased D-dimer,longer prothrombin time,lower albumin,increased procalcitonin and cardiac troponin). The conclusion drawn from this study needs to be further confirmed by high-quality,multicenter,large-sample,real-world studies. © 2023 Chinese General Practice. All rights reserved.

4.
Chinese General Practice ; 26(5):607-620, 2023.
Article in Chinese | Scopus | ID: covidwho-2237526

ABSTRACT

Background The worldwide COVID-19 pandemic has turned into a global catastrophic public health crisis,and the conclusion about the risk factors of hospital death in COVID-19 patients is not uniform. Objective To explore risk factors of in-hospital death in patients with COVID-19 by a meta-analysis. Methods Case-control studies about risk factors of in-hospital death in COVID-19 patients were searched from databases of the Cochrane Library,ScienceDirect,PubMed,Medline,Wanfang Data,CNKI and CQVIP from inception to October 1,2021. Literature screening,data extraction and methodological quality assessment were conducted. Meta-analysis was performed using Stata 15.1. Meta-regression was used to explore the potential sources of heterogeneity. Results Eighty studies were included which involving 405 157 cases〔349 923 were survivors(86.37%),and 55 234 deaths(13.63%)〕,that were rated as being of high quality by the Newcastle-Ottawa Scale. Meta-analysis showed that being male〔OR=1.49,95%CI(1.41,1.57),P<0.001),older age〔WMD=10.44,95%CI(9.79,11.09),P<0.001〕,dyspnoea〔OR=2.09,95%CI(1.80,2.43),P<0.001〕,fatigue〔OR=1.49,95%CI(1.31,1.69),P<0.001〕,obesity〔OR=1.46,95%CI(1.43,1.50),P<0.001〕,smoking〔OR=1.18,95%CI (1.14,1.23),P<0.001〕,stroke〔OR=2.26,95%CI(1.41,3.62),P<0.001〕,kidney disease〔OR=3.62,95%CI (3.26,4.03),P<0.001〕,cardiovascular disease〔OR=2.34,95%CI(2.21,2.47),P<0.001〕,hypertension〔OR=2.23,95%CI(2.10,2.37),P<0.001〕,diabetes〔OR=1.84,95%CI(1.74,1.94),P<0.001〕,cancer〔OR=1.86,95%CI (1.69,2.05),P<0.001〕,pulmonary disease〔OR=2.38,95%CI(2.19,2.58),P<0.001〕,liver disease〔OR=1.65,95%CI(1.36,2.01),P<0.001〕,elevated levels of white blood cell count〔WMD=2.03,95%CI(1.74,2.32),P<0.001〕,neutrophil count〔WMD=1.77,95%CI(1.49,2.05),P<0.001〕,total bilirubin〔WMD=3.19,95%CI(1.96,4.42),P<0.001〕,aspartate transaminase〔WMD=13.02,95%CI(11.70,14.34),P<0.001〕,alanine transaminase 〔WMD=2.76,95%CI(1.68,3.85),P<0.001〕,lactate dehydrogenase〔WMD=166.91,95%CI(150.17,183.64),P<0.001〕,blood urea nitrogen〔WMD=3.11,95%CI(2.61,3.60),P<0.001〕,serum creatinine〔WMD=22.06,95%CI (19.41,24.72),P<0.001〕,C-reactive protein〔WMD=76.45,95%CI (71.33,81.56),P<0.001〕,interleukin-6 〔WMD=28.21,95%CI(14.98,41.44),P<0.001〕,and erythrocyte sedimentation rate〔WMD=8.48,95%CI(5.79,11.17),P<0.001〕were associated with increased risk of in-hospital death for patients with COVID-19,while myalgia〔OR=0.73,95%CI(0.62,0.85),P<0.001〕,cough〔OR=0.87,95%CI(0.78,0.97),P=0.013〕,vomiting〔OR=0.73,95%CI (0.54,0.98),P=0.030〕,diarrhoea〔OR=0.79,95%CI(0.69,0.92),P=0.001〕,headache〔OR=0.55,95%CI(0.45,0.68),P<0.001〕,asthma〔OR=0.73,95%CI(0.69,0.78),P<0.001〕,low body mass index〔WMD=-0.58,95%CI (-1.10,-0.06),P=0.029〕,decreased lymphocyte count〔WMD=-0.36,95%CI(-0.39,-0.32),P<0.001〕,decreased platelet count 〔WMD=-38.26,95%CI(-44.37,-32.15),P<0.001〕,increased D-dimer〔WMD=0.79,95%CI(0.63,0.95),P<0.001〕,longer prothrombin time〔WMD=0.78,95%CI(0.61,0.94),P<0.001〕,lower albumin〔WMD =-1.88,95%CI(-2.35,-1.40),P<0.001〕,increased procalcitonin〔WMD=0.27,95%CI(0.24,0.31),P<0.001〕,and increased cardiac troponin〔WMD=0.04,95%CI(0.03,0.04),P<0.001〕were associated with decreased risk of in-hospital death due to COVID-19. According to the meta-regression result,the heterogeneity in gender,renal disease,cardiovascular diseases,asthma,white blood cell count,neutrophil count,platelet count,hemoglobin,and urea nitrogen differed siangificnatly by country(P<0.05). Conclusion The risk of in-hospital death due to COVID-19 may be increased by 25 factors(including being male,older age,dyspnoea,fatigue,obesity,smoking,stroke,kidney disease,cardiovascular disease,hypertension,diabetes,cancer,pulmonary disease,liver disease,elevated levels of white blood cells,neutrophil count,total bilirubin,aspartate transaminase,alanine transaminase,lactate dehydrogenase,blood urea nitrogen,serum creatinine,C-reactive protein,interleukin-6,and erythrocyte sedimentation rate),and may be decreased by 13 factors(including myalgia,cough,vomiting,diarrhoea,headache,asthma,low body mass index,decreased lymphocyte count and platelet count,increased D-dimer,longer prothrombin time,lower albumin,increased procalcitonin and cardiac troponin). The conclusion drawn from this study needs to be further confirmed by high-quality,multicenter,large-sample,real-world studies. © 2023 Chinese General Practice. All rights reserved.

5.
Progress in Biochemistry and Biophysics ; 49(12):2253-2265, 2022.
Article in English | Web of Science | ID: covidwho-2229873

ABSTRACT

The2022Nobel Prize in Physiology or Medicine was awarded to Swedish biologist Svante Paabo forhis decisive contribution to paleoanthropogenomics and human origins.There are various theories about theorigin of human beings,and the current mainstream view is:out of the African doctrine.In other words,ancienthumans had about three times of migrations.The first time wasHomo erectus,the second was Neanderthals andDenisovans,and the third was the ancestors of modern humans.All migrated from Africa to Eurasia.Whilepioneering a new discipline,paleoanthropogenomics,Svante Paabo has been refining the"Out of Africa Theory".With the help of various biological techniques,he delved into the origin of human beings from the perspective ofgenomics and found that some genetic imprints from ancient humans were retained in our bodies.For example,the STAT2gene and TLR gene associated with immunity,the EPAS1gene that contributes to hypoxic respirationand the six genes of chromosome3are highly positively correlated with the incidence of COVID-19.Thisresearch means that we can go back to the root of certain diseases,rather than limiting our eyes to the genesthemselves,and exploring where a gene comes from will be a new way of studying diseases.We summarized hisinnovations in related biotechnology in the process of research,his exploration of ancient humans based onmitochondrial and nuclear genes and related results,and introduced some genes derived from ancient humans andtheir related information

6.
International Journal of Technology Assessment in Health Care ; 38(Supplement 1):S107, 2022.
Article in English | EMBASE | ID: covidwho-2221691

ABSTRACT

Introduction. Multi-criteria decision analysis (MCDA) is a useful tool in complex decision-making situations and has been used in medical fields to evaluate treatment options and drug selection. We aimed to provide valuable insights on the use ofMCDAin health care through examining the research focus of existing studies, major fields, major applications, most productive authors and countries, and most common journals in the domain using a scientometric and bibliometric analysis. Methods. Publications related to MCDA in health care were identified by searching the Web of Science Core Collection on 14 July 2021. Three bibliometric software programs (VOSviewer, Bibliometrix, and CiteSpace) were used to conduct the analysis. Results. A total of 410 publications were identified from 196 academic journals (average yearly growth rate of 32% from 1999 to 2021), with 23,637 co-cited references by 871 institutions from 70 countries or regions. The USA was the most productive country (n=80), while the Universiti Pendidikan Sultan Idris (n=16), Universite de Montreal (n= 13), and Syreon Research Institute (n=12) were the most productive institutions. The biggest nodes in every cluster of author networks were Aos Alaa Zaidan, Mireille Goetghebeur, and Zoltan Kalo. The top journals in terms of number of articles (n=17) and citations (n=1,673) were Value in Health and the Journal of Medical Systems, respectively. The research hotspots mainly included the analytic hierarchy process (AHP), decision-making, health technology assessment, and healthcare waste management. In the recent literature there was more emphasis on coronavirus disease 2019 (COVID-19) and fuzzy Technique for Order Preference by Similarities to Ideal Solution (TOPSIS). Big data, telemedicine, TOPSIS, and the fuzzy AHP, which are well-developed and important themes, may be the trends in future research. Conclusions. This study provides a holistic picture of the MCDArelated literature published in health care. MCDA has a broad application in different topic areas and would be helpful for practitioners, researchers, and decision makers working in health care when faced with complex decisions. It can be argued that the door is still open for improving the role ofMCDAin health care, both in its technologies and its application.

7.
New Journal of Chemistry. ; 2023.
Article in English | EMBASE | ID: covidwho-2186153

ABSTRACT

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), is a highly infectious disease with a significant impact on global public health security, and the development of effective antiviral drugs is warranted. In this study, based on HEK293 membrane chromatography (CMC) model that overexpresses angiotensin-converting enzyme 2 (ACE2), we screened six compounds with long retention time on ACE2h/CMC, namely BU-1 to BU-6, from the biphenyl furanocoumarin compounds previously synthesized by our team. The binding properties of the screened compounds to ACE2 were investigated by frontier analysis. Cytotoxicity assay, virtual molecular docking assay and pseudo-viral invasion assay were used to examine the affinity and potential antiviral activity of the selected compounds towards ACE2 protein. The virtual molecular docking results showed that BU-1, BU-2 and BU-5 could form significant hydrogen bonds with hotspot amino acid residues on the ACE2 receptor. And BU-1, BU-2 and BU-5 significantly inhibited the ability of SARS-COV-2 pseudovirus to enter ACE2h cells. Therefore, BU-1, BU-2 and BU-5 have the potential to be used as lead compounds for further modification to develop more effective anti-SARS-CoV-2 drugs. Copyright © 2023 The Royal Society of Chemistry.

8.
18th International Conference on Intelligent Computing, ICIC 2022 ; 13394 LNCS:777-792, 2022.
Article in English | Scopus | ID: covidwho-2085271

ABSTRACT

The outbreak of COVID-19 has had a significant impact on the world. The prediction of COVID-19 can conduct the distribution of medical supplies and prevent further transmission. However, the spread of COVID-19 is affected by various factors, so the prediction results of previous studies are limited in practical application. A deep learning model with multi-channel combined multiple factors including space, time, and environment (STE-COVIDNet) is proposed to predict COVID-19 infection accurately in this paper. The attention mechanism is applied to score each environment to reflect its impact on the spread of COVID-19 and obtain environmental features. The experiments on the data of 48 states in the United States prove that STE-COVIDNet is superior to other advanced prediction models in performance. In addition, we analyze the attention weights of the environment of the 48 states obtained by STE-COVIDNet. It is found that the same environmental factors have inconsistent effects on COVID-19 transmission in different regions and times, which explains why researchers have varying results when studying the impact of environmental factors on transmission of COVID-19 based on data from different areas. STE-COVIDNet has a certain explainability and can adapt to the environmental changes, which ultimately improves our predictive performance. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

9.
Lwt-Food Science and Technology ; 167, 2022.
Article in English | Web of Science | ID: covidwho-2069457

ABSTRACT

Campylobacter is one of the most common foodborne pathogens worldwide. A new smartphone-assisted high-throughput integrated color-sensing platform, called the HICS platform, was developed for the rapid detection of Campylobacter coli. This platform was based on the visual loop-mediated isothermal amplification method. Using this system, as many as 64 samples could be assessed in less than an hour after enrichment. 60 meat samples were tested to compare the performance of the HICS platform and other methods. Having the consistent detection result with TaqMan qPCR (Quantitative Real-time Polymerase Chain Reaction), the HICS platform was able to reliably detect C. coli in meat samples, and its limit of detection is 550 CFU/mL and 120 copies/mu L, which was 10-fold higher than that of the PCR (Polymerase Chain Reaction) method. To conclude, considering that our platform showed robust performance and does not require any expensive equipment, it can also be reliably applied for the high-throughput detection of other pathogens.

10.
Journal of Medical Pest Control ; 38(2):160-163, 2022.
Article in Chinese | Scopus | ID: covidwho-2056260

ABSTRACT

Objective To analyze the transmission characteristics of family clustering of Corona Virus Disease 2019 (COVID-19) in a town in Tianjin, and to study new epidemiological investigation method applied for the epidemic. Methods The field epidemiological method was applied to investigate confirmed, suspected cases and close contacts of COVID-19, and this clustering epidemic was analyze;and real-time fluorescence PCR (RT-PCR) assay was used for 2019-nCoV nucleic acid testing. Results A total of 11 confirmed cases and 1 suspected case, with three generations of transmission and median generation interval of 6 (2-26) days were involved in current clustering epidemic, the confirmed cases were infectious at the end of the incubation period, the recurrence rate within the families was 33. 33% (19/57), and the epidemiological investigation information acquired through case narration were deviated compared with the trace investigated by police force and the information provided by close contacts. Conclusion The COVID-19 can cause the family clustering spread, and it may infectious at the end of the incubation period. It is necessary to strengthen the trace and management of close contacts during clustering epidemics, and multiple methods adopted making for acquiring epidemiological investigation information. © 2022, Editorial Department of Medical Pest Control. All rights reserved.

13.
Journal of University of Science and Technology of China ; 52(6), 2022.
Article in English | Scopus | ID: covidwho-2026840

ABSTRACT

The coronavirus disease 2019 (COVID-19) epidemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused millions of deaths worldwide. Therefore, it is critical to understand the biological basis of SARS-CoV-2 to develop novel approaches to control its spread. The SARS-CoV-2 nucleocapsid (N) protein is an important diagnostic and potent therapeutic target of the disease, as it is involved in numerous important functions in the viral life cycle. Several studies have explained the structural and functional aspects of the SARS-CoV-2 N protein. This review summarizes the currently available data on the evolutionarily conserved N protein of SARS-CoV-2 by providing detailed information on the structural and multifunctional characteristics of the N protein. © 2022 The Author(s).

14.
Advanced Functional Materials ; 2022.
Article in English | Web of Science | ID: covidwho-1995522

ABSTRACT

With the rapid progress in nanomaterials and biochemistry, there has been an explosion of interest in biomolecule-modified quantum dots (QDs) for biomedical applications. Metal chalcogenide quantum dots (MCQDs), as the most widely studied QDs, have attracted tremendous attention in the biomedical field on account of their unique and excellent optical properties and the ease of biomolecular modifications. Herein, important advances in MCQDs over recent years are reviewed, from materials design to biomedical applications. Especially, this review focuses on the challenges encountered in the applications of MCQDs in biomedical fields and how these problems can be solved by rational design of synthesis methods and modifications, which have opened a universal route to develop the functionalized MCQDs. Moreover, recent processes in bioimaging, biosensing, and cancer therapy based on MCQDs are examined, including the rapid detection and diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This review provides broad insights into MCQDs in the biomedical field and will inspire material researchers to develop MCQDs in the future.

15.
IPRI JOURNAL ; 22(1):106-150, 2022.
Article in English | Web of Science | ID: covidwho-1970011

ABSTRACT

Poverty governance in developing countries constitutes an important part of global poverty governance as it is a major obstacle to the sustainable development of human society. Bangladesh has carried out numerous economic as well as trade liberalization reforms since the early 1990s with sustained and accelerated economic growth and formulated a series of measures to reduce poverty, with remarkable results. However, Bangladesh is still stuck in the paradox of a poverty trap regardless of achieving poverty reduction. The sudden outbreak of the COVID-19 epidemic in 2019, gravely impacted the poverty reduction efforts made in Bangladesh, large number of poverty-stricken people returned to poverty, exceeding the number of extremely poor people. Although series of poverty reduction measures have taken place in Bangladesh, yet it has not solved the poverty problem in the country. Based on the "Household income and Expenditure Survey, released by Bangladesh Bureau of Statistics, this paper analyzes the current situation and the development trend of poverty in Bangladesh by combining some international poverty indexes. Finally, the paper explains the actual poverty situation of Bangladesh, its causes,, and recommends some relevant measures.

16.
14th International Conference on Cross-Cultural Design, CCD 2022 Held as Part of the 24th HCI International Conference, HCII 2022 ; 13313 LNCS:230-240, 2022.
Article in English | Scopus | ID: covidwho-1919665

ABSTRACT

Social media is one of the most significant sources of information in modern people’s life. Due to the large quantity of user base and public opinions, when people read a blog post, the different tendencies of comments may affect their views on the event to a certain extent. This paper, taking the COVID-19 epidemic as an example, investigated the impact of Weibo (a popular social software in China) comments on readers’ sentiments. In this paper, text mining technology was adopted to collect data including the blogs and the comments under each blog, and the NLPIR-Parser platform was used to analyze the sentiment of the comments. Finally, the conclusion that the sentiments of other comments tend to follow the sentiments of the first comments was drawn. Based on the research results, this paper also gave some enlightenment on social media management and suggestions of public opinions oversight. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

17.
11th IEEE Integrated STEM Education Conference, ISEC 2021 ; : 91-98, 2021.
Article in English | Scopus | ID: covidwho-1861127

ABSTRACT

The COVID-19 virus has caused a large-scale global outbreak and has become a major public health issue 1. Although there are several vaccines, herd immunity will likely take a long time to establish, and it is not clear whether the existing vaccines are completely effective against evolved versions of the virus. The COVID-19 virus as well as other respiratory viruses can be spread through coughing, sneezing, skin contact, etc., and can enter the human body from the eyes, nasal cavity, and oral cavity. © 2021 IEEE.

18.
Atmospheric Environment: X ; : 100168, 2022.
Article in English | ScienceDirect | ID: covidwho-1777918

ABSTRACT

In recent years, the United States power sector emissions of CO2 and NOx have decreased due to declining coal and increasing natural gas and renewables in the fuel-mix. In April 2020, the COVID-19 social restrictions in the United States led to a decline in electricity demand from the commercial and industrial sectors. In this study, we estimate the changes in the emissions of CO2 and NOx from the U.S. power sector due to three factors: 1) weather, 2) the fuel-mix change in the past five years, and 3) the COVID-19 social restrictions. We use a multivariate adaptive regression splines (MARS) model to separate the impacts of outdoor temperature and type-of-day from the COVID-19 on power generation, and the daily operation status of 3013 power units to account for the fuel-mix change. We find that electricity demand changes due to COVID occurred mostly from March to June 2020, with electricity demand generally returning to 2015–2019 levels starting in July 2020. We find the U.S. power sector CO2 emissions, reported by EPA, dropped by 29.8 MTCO2 (−26%) in April 2020, relative to the average April emissions between 2015 and 2019. Of that reduction, we attribute declines of 18.3 ± 4.0 MTCO2 (−18 ± 4%) to the COVID-19 lockdowns, declines of 13.7 ± 4.2 MTCO2 (−12 ± 4%) to a fuel-mix change, and increases of 2.3 ± 1.1 MTCO2 (+2 ± 1%) due to weather variability compared to the five prior years. For the same month, the power sector NOx emissions dropped by 27.6 thousand metric tons (−42%) in April 2020, relative to the past five-year monthly average. Of that reduction, we attribute declines of 10.5 ± 2.4 thousand metric tons (−22 ± 5%) to the COVID-19 lockdowns, declines of 18.5 ± 2.5 thousand metric tons (−28 ± 4%) to a fuel-mix change, and increases of 1.4 ± 0.6 thousand metric tons (+2 ± 1%) due to weather variability. This result highlights the importance of accounting for weather and fuel-mix changes when estimating the impact of COVID-19 on the power sector emissions.

19.
Journal of Geo-Information Science ; 23(2):236-245, 2021.
Article in Chinese | Scopus | ID: covidwho-1639184

ABSTRACT

Since the outbreak of COVID-19, countries around the world have shown different time-series characteristics. Studying the characteristics of the development patterns of different countries and revealing the dominant factors behind them can provide references for future prevention and control strategies. In order to reveal the similarities and differences between the epidemic time series in different countries, this article extracts the standard deviation, Hurst index, cure rate, growth time, average growth rate, and prevention and control efficiency of the daily time series of new cases in the main epidemic countries for pedigree clustering. We also analyzes the causes of clustering results from the aspects of economics, medical treatment, and humanistic conflicts. The results show that the global epidemic development model can be divided into three categories: C-type, S-type, and I-type. The time series of C-type countries are characterized by continuous fluctuations and rising, and the cure rate is low. The reason is that humanistic conflicts are not conducive to epidemic prevention and control. Economic and medical resources have become scarce after a long period of large consumption. It is recommended to strengthen publicity and guidance in prevention and control, change concepts, and coordinate the allocation of economic and medical resources. The time series of S-type countries is characterized by a rapid rise and then an immediate decline, and eventually maintains a stable trend. The overall cure rate is relatively high. The reason is that these countries have domestic stability, high economic and medical standards, and timely prevention and control measures. It is recommended to strengthen international cooperation and scientific research, and prepare for the possible second epidemic. The time series of I-shaped countries is characterized by a slow rise, the overall development trend is unstable, and the cure rate is low. The reason is that its outbreak is relatively late and less severe. Most of the economic and medical levels and humanistic conflicts are not conducive to epidemic prevention and control. It is recommended to learn better prevention and control experience, implement strict isolation measures, try to meet the material needs during the epidemic, and optimize treatment methods. 2021, Science Press. All right reserved.

20.
Zhonghua Yu Fang Yi Xue Za Zhi ; 56(2): 103-107, 2022 Feb 06.
Article in Chinese | MEDLINE | ID: covidwho-1600048

ABSTRACT

Influenza is an infectious respiratory disease caused by the influenza viruses. Older people, infants and people with underlying medical conditions could have a higher risk of severe influenza symptoms and complications. The co-infection of Coronavirus Diseases 2019 (COVID-19) with influenza viruses could lead to the complication of prevention, diagnosis, control, treatment, and recovery of COVID-19. Influenza vaccine and COVID-19 vaccine overlapped in target populations, vaccination time, and inoculation units. Although there was insufficient evidence on the immunogenicity and safety of co-administration of influenza vaccine and COVID-19 vaccine, World Health Organization and some countries recommended co-administration of inactivated influenza vaccine and COVID-19 vaccine. This review summarized domestic and international vaccination policies and research progress, and put forward corresponding suggestions in order to provide scientific support for the formulation of vaccination strategy on seasonal influenza vaccine and COVID-19 vaccine.


Subject(s)
COVID-19 , Influenza Vaccines , Influenza, Human , Aged , COVID-19 Vaccines , China , Humans , Infant , Influenza, Human/epidemiology , Influenza, Human/prevention & control , Pandemics/prevention & control , SARS-CoV-2 , Seasons , Vaccination
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