| 2 | COVID-19 compared to other epidemic coronavirus diseases and theflu显示文摘Coronaviruses are among the largest group of known positive-sense RNA viruses with a wide range of animal hosts as reservoir. In the last two decades,newly evolved coronaviruses such as the severe acute respiratory syndrome coronavirus(SARS-CoV) which caused the infamous 2002 outbreak, the Middle East respiratory syndrome coronavirus(MERS-CoV) which caused an outbreak in 2012, and now the SARS-CoV-2 [responsible for the current coronavirus disease 2019(COVID-19)] have all posed notable threats to global public health.But, how does the current COVID-19 outbreak compare with previous coronaviruses diseases? In this review, we look at the key differences between SARS-CoV, MERS-CoV, and SARS-CoV-2, and examine challenges in determining accurate estimates of the severity of COVID-19. We discuss coronavirus outbreaks in light of key outbreak severity indicators including,disease fatality, pathogen novelty, ease of transmission, geographical range, and outbreak preparedness. Finally, we review clinical trials of emerging treatment modalities and provide recommendations on the control of COVID-19 based on the mode of transmission of the coronaviruses. We also recommend the development and use of a standardized predictive epidemic severity models to inform future epidemic response. | James A Ayukekbong Michel L Ntemgwa Solange A Ayukekbong Eta E Ashu Terence A Agbor | 2020 | World Journal of Clinical Infectious Diseases2020，10，1： | 1 |
| 3 | Feasibility of iFISH patterns in hematologic malignancies among Congolese patients at Kinshasa University clinics显示文摘Objective: To analyze the feasibility of detecting Ph1 in leukemia patients in the Kinshasa University Clinics in the Democratic Republic of Congo, at KU Leuven, Belgium.Methods: Bone marrow and peripheral blood samples with chronic myeloid leukemia,acute myeloid leukemia or acute leukocytes leukemia were obtained from 32 patients in Kinshasa University clinics in the Democratic Republic of Congo and transferred to KU Leuven in Belgium for i FISH feasibility. Ph^1 was detected by using a remote analysis of interphase fluorescence in situ hybridization(i FISH).Results: Out of the 32 patients involved in this study, 65.6%(n = 21) of the cases were successfully tested, of which 52.4%(n = 11) were i FISH positives for the variant t(9;22)(presence of Ph^1) in chronic myeloid leukemia samples and 47.6%(n = 10) negatives in all subtypes of hematological malignancies. However, there was a female predominance in chronic myeloid leukemia samples Ph^1-positives by i FISH, whereas no sexual influence was observed on acute subtypes of leukemia.Conclusions: i FISH analysis is feasible on samples obtained from remote sites in the Democratic Republic of Congo. However, the optimization of the sample storage is necessary to further improve i FISH's performance. | Mireille Solange Nganga Nkanga Benjamin Longo-Mbenza Peter Vandenberghe Fons Verdonck Venant Tchokonte-Nana Nkama Claude Nlandu Roth Laure Mapapa Miakassissa Paul Roger Beia Kazadi Antoine Lufimbo Katawandja Jacques Bikaula Ngwidiwo Ntolo Jean-Pierre Mufuta Kuanda Thomas Solo Mbombo Aurore Cecilia Orphée Beia | 2017 | Asian Pacific Journal of Tropical Biomedicine2017，7，12： | 0 |
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