Difference of Omicron variant infection and influence factors between people with and without HIV infection (preprint)

Background There are mixed findings in the literature regarding the association between HIV status and the risk of COVID-19 infection. Thus, we aimed to estimate the association between characteristics of HIV infection and the risk of COVID-19 Infection in a Chinese sample.Methods We conducted a cross-sectional survey of 1995 people living with HIV (PLWH) and 3503 HIV-negative adults in Ningbo, China. We compared the prevalence rates of the SARS-CoV-2 infection and the long nucleic acid conversion time (more than 2 weeks) among PLWH and HIV-negative participants, respectively. In addition, we explored the risk factors associated with SARS-CoV-2 infection and the long nucleic acid conversion time among the two groups.Results Overall, 1485/1995 (74.4%) PLWH and 2864/3503 (81.8%) HIV-negative people were infected with SARS-CoV-2. Among the SARS-CoV-2-infected participants, 437/1485 (29.4%) PLWH and 649/2864 (22.7%) HIV-negative people had the long nucleic acid conversion time. After controlling for the potential confounders, the rate of the SARS-CoV-2 infection was lower among the PLWH than the HIV-negative group (adjusted OR = 0.836, 95% CI = 0.706–0.990). However, PLWH had a significantly higher risk of the long nucleic acid conversion time after the SARS-CoV-2 infection (adjusted OR = 1.417, 95% CI = 1.176–1.707) than the HIV negative participants. Compared with those who did not receive ART, PLWH adults who received ART significantly had the increased risk of SARS-CoV-2 infection. Furthermore, HIV-negative participants receiving COVID-19 vaccines significantly displayed the decreased likelihood of the long nucleic acid conversion time after the SARS-CoV-2 infection.Conclusions Our study indicates that different HIV Infection status was significantly and differently associated with the SARS-CoV-2 infection and the long nucleic acid conversion time. However, the further studies are needed to confirm the effect of ART and COVID-19 vaccines on SARS-CoV-2 infection in PLWH.

Distribution and impacts on the geological environment of antiviral drugs in major waters of Wuhan, China

This study investigated water samples collected from the surface water and groundwater in Wuhan City, Hubei Province, China in different stages of the outbreak of the coronavirus disease 2019 (hereinafter referred to as COVID-19) in the city, aiming to determine the distribution characteristics of antiviral drugs in the city’s waters. The results are as follows. The main hydrochemical type of surface water and groundwater in Wuhan was Ca-HCO3. The major chemical components in the groundwater had higher concentrations and spatial variability than those in the surface water. Two antiviral drugs and two glucocorticoids were detected in the surface water, groundwater, and sewage during the COVID-19 outbreak. Among them, chloroquine phosphate and cortisone had higher detection rates of 32.26% and 25.80%, respectively in all samples. The concentrations of residual drugs in East Lake were higher than those in other waters. The main drug detected in the waters in the later stage of the COVID-19 outbreak in Wuhan was chloroquine phosphate, whose detection rates in the surface water and the groundwater were 53.85% and 28.57%, respectively. Moreover, the detection rate and concentration of chloroquine phosphate were higher in East Lake than in Huangjia Lake. The groundwater containing chloroquine phosphate was mainly distributed along the river areas where the groundwater was highly vulnerable. The residual drugs in the surface water and the groundwater had lower concentrations in the late stage of the COVID-19 outbreak than in the middle of the outbreak, and they have not yet caused any negative impacts on the ecological environment.©2022 China Geology Editorial Office.

Green recovery or pollution rebound? Evidence from air pollution of China in the post-COVID-19 era.

Under the strict control measures, China has achieved phased victory in combating with the COVID-19, production activities have gradually returned to normal. This paper examined whether air pollution was rebounded or realized green recovery in the post-COVID-19 era with a dataset of weather normalized pollutant concentrations using difference-in-differences models. Results showed that air pollution experienced a significant decline due to the wide range of control measures. With entering the post-epidemic period, air pollution raised due to the orderly production resumption. Specifically, production resumption increased the PM2.5 concentrations of lockdown cities and non-lockdown cities by 43.2% (22.3 µg/m3) and 35.9% (17.3 µg/m3) compared with that in the period of COVID-19 breakout. Although the economic activities of China have been gradually recovered, PM2.5 concentrations were 8.8-11.2 µg/m3 lower than the level of pre-epidemic period. In addition, the environmental effects varied across cities. With the process of production resumption, the PM2.5 concentrations of cities with higher GDP, higher secondary industry output, more private cars and higher export volume rebounded less. Most developed cities realized green recovery by economy growth and air quality improvement, such as Beijing and Shanghai. While cities with heavy industry reflected pollution rebound with slow economy recovery, such as Shenyang and Harbin. Understanding the environmental effects of control measure and production resumption can provide crucial information for developing epidemic recovery policies and dealing with pollution issues for both China and other countries.