An Imported Case of BA.2 Lineage of Omicron Variant COVID-19—Guangdong Province,China,December 28,2021

On December 19,2021,a 31-year-old male boarded a flight from Bhubaneswar,India to Mumbai,India,and then another flight from Mumbai to Muscat,Oman.On December 24,he returned from Muscat to Guangzhou by airplane and was transferred to a centralized isolation hotel in Foshan.He was sampled on the third day of the quarantine,and the result returned to be coronavirus disease 2019(COVID-19)positive on December 27,2021.He was transported to the Guangzhou Eighth People’s Hospital for isolated treatment by negative pressure ambulance on the same day.The case had two lungs focal inflamed according to the chest CT examination.

First Human Infection with Avian Influenza H9N2—Guangdong Province,China,2020

A case of avian influenza H9N2 was detected in a human in Zhuhai City,Guangdong Province through routine influenza surveillance on March 30,2020.The patient was a 3-year-old child who developed fever and cough on March 22.A pharyngeal swab was collected on March 23,and the novel coronavirus nucleic acid test was negative.On March 26,the pharyngeal swab was sent to Zhuhai CDC for influenza virus tests and was found to be H9 influenza A positive,and on March 30,Guangdong Provincial CDC reexamined the pharyngeal swabs as positive for influenza A(H9N2).

First Imported Case of SARS-CoV-2 Omicron Subvariant BA.2.12.1-Guangdong Province,China,April 30,2022

On April 23,2022,an international flight KQ880 from Nairobi,Kenya arrived at Guangzhou Baiyun International Airport,Guangzhou City,Guangdong Province.All passengers were transferred to the quarantine hotel for routine 14-day medical observation and regularly tested of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)nucleic acid.One of the patients,a 27-year-old Chinese male,reported positive SARS-CoV-2 nucleic acid on April 27,2022.The patient had a history of full coronavirus disease 2019(COVID-19)vaccination and denied exposure to other COVID-19 cases in the past 14 days.After diagnosis,he was transferred to Guangzhou Eighth People’s Hospital for treatment.

A machine learning vibrational spectroscopy protocol for spectrum prediction and spectrum-based structure recognition

Vibrational spectroscopy is one of the most commonly applied techniques for determining molecular structures.Conventional applications often involve extensive expertise or expensive first-principles computational effort in order to establish one-to-one spectrum-structure relationships.Here we developed a machine-learning protocol to correlate spectral fingerprints with local molecular structures.Our protocol enables not only quick and accurate prediction of infrared(IR)absorption and Raman vibrational spectra based on molecular structures,but more importantly,also enables structure recognition of chemical groups from vibrational spectral features.IR and Raman spectral features arising from different selection rules were recurrently fed to the model to achieve a nearly zero error rate in structure recognition.Both the spectrum prediction and structure recognition models have good transferability,implying a high possibility of being extended to various spectral or non-spectral characteristics.This machine learning protocol may provide impovements to real-time field applications in many areas of spectroscopy.