Background With its epicenter in Wuhan, China, the COVID-19 outbreak was declared a Public Health Emergency of International Concern by the World Health Organization (WHO). Consequently, many countries have implemented flight restrictions to China. China itself has imposed a lockdown of the population of Wuhan as well as the entire Hubei province. However, whether these two enormous measures have led to significant changes in the spread of COVID-19 cases remains unclear. Methods We analyzed the available data on the development of confirmed domestic and international COVID-19 cases before and after lockdown measures. We evaluated the correlation of domestic air traffic to the number of confirmed COVID-19 cases and determined the growth curves of COVID-19 cases within China before and after lockdown as well as after changes in COVID-19 diagnostic criteria. Results Our findings indicate a significant increase in doubling time from 2 days (95% CI: 1.9–2.6) to 4 days (95% CI: 3.5–4.3), after imposing lockdown. A further increase is detected after changing diagnostic and testing methodology to 19.3 (95% CI: 15.1–26.3), respectively. Moreover, the correlation between domestic air traffic and COVID-19 spread became weaker following lockdown (before lockdown: r = 0.98, P < 0.05 vs after lockdown: r = 0.91, P = NS). Conclusions A significantly decreased growth rate and increased doubling time of cases was observed, which is most likely due to Chinese lockdown measures. A more stringent confinement of people in high risk areas seems to have a potential to slow down the spread of COVID-19.
Background:With its epicenter in Wuhan, China, the COVID-19 outbreak was declared a pandemic by the World Health Organization (WHO). While many countries have implemented flight restrictions to China, an increasing number of cases with or without travel background to China are confirmed daily. These developments support concerns on possible unidentified and
With multiple virus epicenters, COVID-19 has been declared a pandemic by the World Health Organization. Consequently, many countries have implemented different policies to manage this crisis including curfew and lockdown. However, the efficacy of individual policies remains unclear with respect to COVID-19 case development. We analyzed available data on COVID-19 cases of eight majorly affected countries, Japan. Growth rates and doubling time of cases were calculated for the first 6 weeks after the initial cases were declared for each respective country and put into context with implemented policies. Although the growth rate of total confirmed COVID-19 cases in China has decreased, those for Japan have remained constant. For European countries, the growth rate of COVID-19 cases considerably increased during the second time interval.Interestingly, the rates for Germany, Spain, and France are the highest measured in the second interval and even surpass the numbers in Italy. Although the initial data in Asian countries are encouraging with respect to case development at the initial stage, the opposite is true for European countries. Based on our data, disease management in the 2 weeks following the first reported cases is of utmost importance. K E Y
Coronavirus disease 2019 (COVID‐19) reinfections could be a major aggravating factor in this current pandemic, as this would further complicate potential vaccine development and help to maintain worldwide virus pockets. To investigate this critical question, we conducted a clinical meta‐analysis including all available currently reported cases of potential COVID‐19 reinfections. We searched for all peer‐reviewed articles in the search engine of the National Center for Biotechnology Information. While there are over 30,000 publications on COVID‐19, only about 15 specifically target the subject of COVID‐19 reinfections. Available patient data in these reports was analyzed for age, gender, time of reported relapse after initial infection and persistent COVID‐19 positive polymerase chain reaction (PCR) results. Following the first episode of infection, cases of clinical relapse are reported at 34 (mean) ± 10.5 days after full recovery. Patients with clinical relapse have persisting positive COVID‐19 PCR testing results until 39 ± 9 days following initial positive testing. For patients without clinical relapse, positive testing was reported up to 54 ± 24 days. There were no reports of any clinical reinfections after a 70‐day period following initial infection.
Background: This ex-vivo study was performed to compare the impact of doxorubicin vs. liposomal doxorubicin on penetration depth in peritoneal tissue during Pressurized Intra-Peritoneal Aerosol Chemotherapy (PIPAC) via microcatheter (MC).Methods: Fresh post mortem swine peritoneum was cut into proportional sections. One group of samples was treated with PIPAC with Doxorubicin (D), and the other was treated with PIPAC with liposomal doxorubicin (LD). Tissue specimens were placed as follows: at the bottom of the plastic box (1), at the side wall (2), at the top cover (3) and the side of the box covered by a plastic tunnel (4). In-tissue doxorubicin penetration was measured using fluorescence microscopy on frozen thin sections.Results: Medium penetration levels with D were 325 µm (1), 152 µm (2), 84 µm (3) and 71 µm (4), respectively. Medium penetration levels with LD were significantly lower with 10 µm (1), 2 µm (2), 0 µm (3) and 0 µm (4), respectively. In most samples that were treated with LD no doxorubicin could be detected at all.Conclusion: Our data indicate that liposomal coating of doxorubicin and possibly other chemotherapeutical drugs might inhibit their interaction with the peritoneal surface. This inhibition appears to be relatively strong, since doxorubicin is partially undetectable due to liposomal coating. Further studies are warranted to investigate this interaction and its potential benefit in peritoneal applications.
SummaryThe aim of this study was to assess the immune response to parainfluenza virus type 3 (PIV3), rhinovirus 1B (RV1B) and intracellular Toll-like receptors (TLR) agonists in nasal epithelial cells (NECs) from patients with allergic rhinitis and healthy controls. NECs were obtained from eight patients with allergic rhinitis (AR) and 11 non-atopic healthy controls (HC) by nasal scraping, grown to confluence and exposed to PIV3, RV1B infection or TLR-3 and TLR-7/8 agonists. Interferon (IFN)-k1, IFN-a, IFNb and regulated on activation, normal T expressed and secreted (RANTES) release into the cell culture supernatants was assessed at 8, 24 and 48 h upon infection or 8 and 24 h after stimulation with poly(I:C) and R848. mRNA levels of IFNs, RANTES, interferon regulatory transcription factor (IRF)3, IRF7 and viral gene copy number were determined using real-time polymerase chain reaction (RT-PCR). PIV3 but not RV1B replication 48 h after infection was significantly lower (P < 0Á01) in NECs from AR patients compared to HC. PIV3 infection induced significantly less IFN-k1 (both protein and mRNA) in NECs from AR compared to HC. IFN-b mRNA expression and RANTES protein release and mRNA expression tended to be smaller in AR compared HC cells in response to both viruses. Stimulation with TLR-3 agonist [poly (I:C)] induced similar IFN-k1 and RANTES generation in AR and HC subjects. Viral infections in NECs induced IRF7 expression, which correlated with IFN and RANTES expression. These data suggest that virus proliferation rates and the immune response profile are different in nasal epithelial cells from patients with allergic rhinitis compared to healthy individuals.
Our ex vivo data suggest that PIPAC can be delivered via MC device. While local drug penetration is practically congruent to known PIPAC performance with MIP®, the MC offers a feasible, flexible, easy to handle and economic improvement compared to conventional PIPAC.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.