Housing and respiratory health: Exposures, health effects and interventions

Housing quality and affordability are well established as social determinants of health through direct and indirect mechanisms. Respiratory illnesses related to housing are nearly all the result of housing disrepair that allows intrusion into the home of environmental agents that are directly or indirectly associated with disease. Structural deficiencies such as leaks, cracks in the foundation or holes in the home's exterior can facilitate the presence of mould, which is causally linked to the development of asthma and is associated with exacerbation of asthma symptoms in children and adults. Indoor cleanliness can also contribute to the presence of mice and cockroaches. Proper ventilation can improve air quality, reducing exposure to PM, VOCs and infectious respiratory agents. Disparities in exposure to the housing conditions associated with respiratory disease are readily apparent across socioeconomic lines. Low-income families are less likely to be able to afford the costs of maintaining a home, which prevents them from making repairs that could improve respiratory health.Copyright © ERS 2023.

Performance and Early Results from the Earth Surface Mineral Dust Source Investigation (EMIT) Imaging Spectroscopy Mission

The Earth Surface Mineral Dust Source Investigation (EMIT) acquires new observations of the Earth from a state-of-the-art, optically fast F/1.8 visible to short wavelength infrared imaging spectrometer with high signal-to-noise ratio and excellent spectroscopic uniformity. EMIT was launched to the International Space Station from Cape Canaveral, Florida, on July 14, 2022 local time. The EMIT instrument is the latest in a series of more than 30 imaging spectrometers and testbeds developed at the Jet Propulsion Laboratory, beginning with the Airborne Imaging Spectrometer that first flew in 1982. EMIT's science objectives use the spectral signatures of minerals observed across the Earth's arid and semi-arid lands containing dust sources to update the soil composition of advanced Earth System Models (ESMs) to better understand and reduce uncertainties in mineral dust aerosol radiative forcing at the local, regional, and global scale, now and in the future. EMIT has begun to collect and deliver high-quality mineral composition determinations for the arid land regions of our planet. Over 1 billion high-quality mineral determinations are expected over the course of the one-year nominal science mission. Currently, detailed knowledge of the composition of the Earth's mineral dust source regions is uncertain and traced to less than 5,000 surface sample mineralogical analyses. The development of the EMIT imaging spectrometer instrumentation was completed successfully, despite the severe impacts of the COVID-19 pandemic. The EMIT Science Data System is complete and running with the full set of algorithms required. These tested algorithms are open source and will be made available to the broader community. These include calibration to measured radiance, atmospheric correction to surface reflectance, mineral composition determination, aggregation to ESM resolution, and ESM runs to address the science objectives. In this paper, the instrument characteristics, ground calibration, in-orbit performance, and early science results are reported. © 2023 IEEE.

Identification and characterization of quaternary ammonium compounds in Flemish indoor dust by ion-mobility high-resolution mass spectrometry.

Quaternary ammonium compounds (QACs) are a class of surfactants commonly used in disinfecting and cleaning products. Their use has substantially increased during the COVID-19 pandemic leading to increasing human exposure. QACs have been associated with hypersensitivity reactions and an increased risk of asthma. This study introduces the first identification, characterization and semi-quantification of QACs in European indoor dust using ion-mobility high-resolution mass spectrometry (IM-HRMS), including the acquisition of collision cross section values (DTCCSN2) for targeted and suspect QACs. A total of 46 indoor dust samples collected in Belgium were analyzed using target and suspect screening. Targeted QACs (n = 21) were detected with detection frequencies ranging between 4.2 and 100 %, while 15 QACs showed detection frequencies > 90 %. Semi-quantified concentrations of individual QACs showed a maximum of 32.23 µg/g with a median ∑QAC concentration of 13.05 µg/g and allowed the calculation of Estimated Daily Intakes for adults and toddlers. Most abundant QACs matched the patterns reported in indoor dust collected in the United States. Suspect screening allowed the identification of 17 additional QACs. A dialkyl dimethyl ammonium compound with mixed chain lengths (C16:C18) was characterized as a major QAC homologue with a maximum semi-quantified concentration of 24.90 µg/g. The high detection frequencies and structural variabilities observed call for more European studies on potential human exposure to these compounds. For all targeted QACs, drift tube IM-HRMS derived collision cross section values (DTCCSN2) are reported. Reference DTCCSN2 values allowed the characterization of CCS-m/z trendlines for each of the targeted QAC classes. Experimental CCS-m/z ratios of suspect QACs were compared with the CCS-m/z trendlines. The alignment between the two datasets served as an additional confirmation of the assigned suspect QACs. The use of the 4bit multiplexing acquisition mode with consecutive high-resolution demultiplexing confirmed the presence of isomers for two of the suspect QACs.

Prospective Aquatic Brandscaping Megaproject Addressing Climate Change and Coronavirus of the Coastal Californias: The Intersection of Natural and Anthropic 2020 AD Impacts

In the future, the coastal Californias territories of Mexico and the USA, here referred to as "the Region, " may be adversely affected by some degree of climate change and possibly by some sea-level rise social stress issues, but only if no infrastructural adaptation is undertaken to successfully cope with these geophysical and hydrometeorological stressors. Geoengineering efforts no doubt will be impacted by the drastic socioeconomic effects introduced during 2020 into the Region's major metropolitan areas by the COVID-19 pandemic. Harshening Region-wide desert climate regime changes and seaport sea-level rise effects will necessitate vast and enormous geographical changes to the supportive economies as well as the demographics of Mexico's Estado Libre y Soberano de Baja California and the USA's Southwest, which includes the coastal State of California. Basic governmental obligation is to ensure robust population health. In this incident of epistemic trespass, the authors speculate on some of the most important infrastructure developments and population shifts that might occur in the Region in the near-term (2030-2050). Comity is essential for peaceful bi-national prosperity in this aridic, internationally-shared hinterland of North America that includes part of the western USA's Great Basin. For too many years, freshwater consumers on either side of the Region's international border have been forced to live in suspension between advertised zombie megaproject plans and the bleak civil society engendered by aborted, unsatisfactorily modified or non-materialized megaprojects. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Characterization and Source Apportionment of PM in Handan—A Case Study during the COVID-19

Handan is a typical city affected by regional particulate pollution. In order to investigate particulate matter (PM) characterization, source contributions and health risks for the general populations, we collected PM samples at two sites affected by a pollution event (12–18 May 2020) during the COVID-19 pandemic and analyzed the major components (SNA, OCEC, WSIIs, and metal elements). A PCA-MLR model was used for source apportionment. The carcinogenic and non-carcinogenic risks caused by metal elements in the PM were assessed. The results show that the renewal of old neighborhoods significantly influences local PM, and primarily the PM10;the average contribution to PM10 was 27 μg/m3. The source apportionment has indicated that all other elements came from dust, except Cd, Pb and Zn, and the contribution of the dust source to PM was 60.4%. As PM2.5 grew to PM10, the PM changed from basic to acidic, resulting in a lower NH4+ concentration in PM10 than PM2.5. The carcinogenic risk of PM10 was more than 1 × 10−6 for both children and adults, and the excess mortality caused by the renewal of the community increased by 23%. Authorities should pay more attention to the impact of renewal on air quality. The backward trajectory and PSCF calculations show that both local sources and short-distance transport contribute to PM—local sources for PM10, and short-distance transport in southern Hebei, northern Henan and northern Anhui for PM2.5, SO2 and NO2. © 2023 by the authors.

Smart Embedded Framework of Real-Time Pollution Monitoring and Alert System

The sustainability and progress of humanity depend on a clean, pollution-free environment, which is essential for good health and hygiene. Huge indoor auditorium does not have proper ventilation for air flow so when the auditorium is crowded the carbon di-oxide is emitted and it stays there for many days this may be a chance to spreading of COVID-19 and other infectious diseases. Without proper ventilation virus may present in the indoor auditorium. In the proposed system, emissions are detected by air, noise, and dust sensors. If the signal limit is exceeded, a warning is given to the authorities via an Android application and WiFi, and data is stored in cloud networks. In this active system, CO2 sensor, noise sensor, dust sensor, Microcontroller and an exhaust fan are used. This ESP-32 based system is developed in Arduino Integrated Development Environment (Aurdino IDE) to monitor air, dust and noise pollution in an indoor auditorium to prevent unwanted health problems related to noise and dust. More importantly, using IoT Android Application is developed in Embedded C, which continuously records the variation in levels of 3 parameters mentioned above in cloud and display in Android screen. Also, it sends an alert message to the users if the level of parameters exceeds the minimum and maximum threshold values with more accuracy and sensitivity. Accuracy and sensitivity of this products are noted which is very high for various input values. © 2022 IEEE.

SARS-CoV-2 EPIDEMIC FIRST WAVE: THE IMPACT OF PARTIAL AND COMPLETE LOCKDOWNS ON ROAD-DEPOSITED SEDIMENTS IN KUWAIT

This research aims to find the impact of the nationwide partial and complete lockdowns on the environmental quality of Kuwait. This objective was accomplished by collecting roadside deposited sediments (n=54) at three periods during the first wave of the SARS-CoV-2 epidemic (complete-lockdown, partial-lockdown, and re-opening) from different locations in Kuwait and then analyzing them via ICP-AES for the presence of heavy metals and later applying various pollution indices. Extensive analysis of 162 subsamples showed that virtually all the minimum values were associated with the complete lockdown period (9 out of 10 elements). Pearson's correlation coefficients indicate that all elements are positively correlated except for Cu-Cd, Cu-Cr, and Co-V, suggesting that the sediments share a common source. Except for cadmium and copper, almost all sediments showed low ecological risk potential (Eri < 40). The lowest risk index was during the complete lockdown (RI=162.2). The full lockdown period had marginally lower geo-accumulation indices and classes than the partial lockdown and re-opening periods. The improvement in sediment quality between the different periods was minimal due to low levels of commitment in the governmental curfew leave permissions, the continuity of Kuwait municipality manual and mechanical road cleanup processes during lockdowns, and the associated energy consumption with emissions resulting from extended indoor stay. © 2023, ALÖKI Kft., Budapest, Hungary.

The Nasa Earth Venture Instrument, Earth Surface Mineral Dust Source Investigation (Emit)

The NASA Earth Venture Instrument mission, Earth Surface Mineral Dust Source Investigation ( EMIT), is planned for launch to the International Space Station on a SpaceX rocket in May of 2022. EMIT's science objectives are to reduce uncertainty in the direct radiative forcing effect of mineral dust in the Earth system today and assess future changes in the effect under a range of climate scenarios. The development of the EMIT imaging spectrometer instrumentation and other systems has proceeded successfully despite the severe impacts of the COVID pandemic. The status and plans for the imaging spectrometer, calibration, ground system, in-orbit checkout, and prime science measurement observation phase are reported.

Effects of allergen extract exchange in children and adolescents receiving house dust mite allergen immunotherapy during the Covid-19 pandemic: Real-life data

Background: In our country, allergen extracts (AEs) for house-dust mite (HDM) allergen immunotherapy (AIT), were provided by two companies which are Novohelisen Depot and Alutard SQ. During the Covid-19 pandemics, Novohelisen DepotHDM allergens could not be imported due to the unforeseen reasons. In order to ensure the continuity of AIT, consent obtained patients were treated with the AE of the other company. In this study, it was aimed to determine the frequencies of local and systemic side effects (SEs), clinical response, and the effect of AE change on these parameters during the Covid-19 pandemics. Method(s): 59 patients aged >= 5 years, followed up with the diagnosis of allergic rhinoconjunctivitis (ARC) and/or allergic asthma, and clinically related HDM allergy were included in the study. Demographic data of the patients and SEs during the treatment were recorded from the onset of subcutaneous AIT (SCIT) until September 2021. A transition protocol was created in order to maintain maximum effectiveness and minimize potential SEs of AIT after AE switching. After thetransition protocol, the frequency of SEs, and symptoms and medication scores were recorded during each AIT visit. Result(s): Of 59 patients, 38 (64.4%) were male, 27 (45.7%) had ARC and 32 (54.2%) had both allergic asthma and ARC. Age at the onset of AIT was 12 (6-17) years, and duration of the treatment was 30 (8-48) months. In this study 29 patients received Alutard-SQ (group 1) and 30 patients, Novohelisen-Depot (group 2). 19 patients in group 2 switched to AE of Alutard SQ. During the treatment period, 1209 Novohelisen Depot and 1504 Alutard SQ injections were administered and a total of 140 (5.2%) local reactions (LRs), 50 (1.8%) large local reactions (LLRs), and 7 (0.25%) systemic reactions (SRs) were observed. In group 2, 61 (8.3%) LRs and 1 (0.13%) SR were observed before switching, 5 (1.4%) LRs and neither LLR nor SR were observed after switching. Adherence to SCIT has been increased from 49.1% to 79.6% and the decrease in symptom and medication scores in the pre-transition period continued after switching. Conclusion(s): During the Covid-19 pandemics, HDM AEs transition protocol was safe in terms of local and systemic side effects, and AIT was effective.

Coarse particulate matter air quality in East Asia: implications for fine particulate nitrate

Air quality network data in China and South Korea show very high year-round mass concentrations of coarse particulate matter (PM), as inferred by the difference between PM10 and PM2.5. Coarse PM concentrations in 2015 averaged 52 µg m-3 in the North China Plain (NCP) and 23 µg m-3 in the Seoul Metropolitan Area (SMA), contributing nearly half of PM10. Strong daily correlations between coarse PM and carbon monoxide imply a dominant source from anthropogenic fugitive dust. Coarse PM concentrations in the NCP and the SMA decreased by 21 % from 2015 to 2019 and further dropped abruptly in 2020 due to COVID-19 reductions in construction and vehicle traffic. Anthropogenic coarse PM is generally not included in air quality models but scavenges nitric acid to suppress the formation of fine particulate nitrate, a major contributor to PM2.5 pollution. GEOS-Chem model simulation of surface and aircraft observations from the Korea–United States Air Quality (KORUS-AQ) campaign over the SMA in May–June 2016 shows that consideration of anthropogenic coarse PM largely resolves the previous model overestimate of fine particulate nitrate. The effect is smaller in the NCP which has a larger excess of ammonia. Model sensitivity simulations for 2015–2019 show that decreasing anthropogenic coarse PM directly increases PM2.5 nitrate in summer, offsetting 80 % the effect of nitrogen oxide and ammonia emission controls, while in winter the presence of coarse PM increases the sensitivity of PM2.5 nitrate to ammonia and sulfur dioxide emissions. Decreasing coarse PM helps to explain the lack of decrease in wintertime PM2.5 nitrate observed in the NCP and the SMA over the 2015–2021 period despite decreases in nitrogen oxide and ammonia emissions. Continuing decrease of fugitive dust pollution means that more stringent nitrogen oxide and ammonia emission controls will be required to successfully decrease PM2.5 nitrate.

Measurement of Phthalates in Settled Dust in University Dormitories and Its Implications for Exposure Assessment

Six phthalates: dimethyl phthalate (DMP), diethyl phthalate (DEP), di(n-butyl) phthalate (DnBP), butyl benzyl phthalate (BBzP), di(2-ethylhexyl) phthalate (DEHP), and di(n-octyl) phthalate (DOP) in settled dust on different indoor surfaces were measured in 30 university dormitories. A Monte Carlo simulation was used to estimate college students' exposure via inhalation, non-dietary ingestion, and dermal absorption based on measured concentrations. The detection frequencies for targeted phthalates were more than 80% except for DEP (roughly 70%). DEHP was the most prevalent compound in the dust samples, followed by DnBP, DOP, and BBzP. Statistical analysis suggested that phthalate levels were higher in bedside dust than that collected from table surfaces, indicating a nonuniform distribution of dust-phase phthalates in the sleep environment. The simulation showed that the median DMP daily intake was 0.81 μg/kg/day, which was the greatest of the targeted phthalates. For the total exposures to all phthalates, the mean contribution of exposures during the daytime and sleeping time was 54% and 46%, respectively.

Conceptual Design of a UVC-LED Air Purifier to Reduce Airborne Pathogen Transmission—A Feasibility Study

Existing indoor closed ultraviolet-C (UVC) air purifiers (UVC in a box) have faced technological challenges during the COVID-19 breakout, owing to demands of low energy consumption, high flow rates, and high kill rates at the same time. A new conceptual design of a novel UVC-LED (light-emitting diode) air purifier for a low-cost solution to mitigate airborne diseases is proposed. The concept focuses on performance and robustness. It contains a dust-filter assembly, an innovative UVC chamber, and a fan. The low-cost dust filter aims to suppress dust accumulation in the UVC chamber to ensure durability and is conceptually shown to be easily replaced while mitigating any possible contamination. The chamber includes novel turbulence-generating grids and a novel LED arrangement. The turbulent generator promotes air mixing, while the LEDs inactivate the pathogens at a high flow rate and sufficient kill rate. The conceptual design is portable and can fit into ventilation ducts. Computational fluid dynamics and UVC ray methods were used for analysis. The design produces a kill rate above 97% for COVID and tuberculosis and above 92% for influenza A at a flow rate of 100 L/s and power consumption of less than 300 W. An analysis of the dust-filter performance yields the irradiation and flow fields.

Rising surface ozone due to anthropogenic activities and its impact on COVID-19 related deaths in Delhi, India.

The rapidity and global spread of the COVID-19 pandemic have left several vital questions in the research community requiring coordinated investigation and unique perspectives to explore the relationship between the spread of disease and air quality. Previous studies have focused mainly on the relation of particulate matter concentration with COVID-19-related mortalities. In contrast, surficial ozone has not been given much attention as surface ozone is a primary air pollutant and directly impacts the respiratory system of humans. Hence, we analyzed the relationship between surface ozone pollution and COVID-19-related mortalities. In this study, we have analyzed the variability of various atmospheric pollutants (particulate matter (PM2.5 and PM10), Nitrogen dioxide (NO2), Carbon monoxide (CO), and Ozone) in the National Capital Region (NCR) of India during 2020-2021 using station data and investigated the relationship of the air-quality parameters with the COVID-19 related deaths. In northern parts of India, the concentration of particulate matter (PM2.5 and PM10), Nitrogen dioxide (NO2), Carbon monoxide (CO), and Ozone remain high during the pre- and post-monsoon seasons due to dust loading and crop residue burning (after winter wheat in April & summer rice in November). The westerly wind brings the polluted airmass from western and northwestern parts to Delhi and National Capital Region during April-June and October-November, and meteorological conditions help raise the concentration of these pollutants. Due to long solar hours and high CO concentrations, the ozone concentration is higher from April to June and September. While comparing major air quality parameters with COVID-19-related deaths, we found a good relationship between surface ozone and COVID-19 mortality in Delhi. We also observed a time lag relationship between ozone concentration and mortality in Delhi, so the exposure to Ozone in a large population of Delhi may have augmented the rise of COVID-19-related deaths. The analysis suggested that ozone has a significant relationship with COVID-19 related mortality in Delhi in comparison to other parameters.

Assessment of house dust trace elements and human exposure in Ankara, Turkey.

One of the impacts of the COVID-19 pandemic is leading people remain at homes longer than ever. Considering the elongation of the time people spend indoors, the potential health risks caused by contaminants including heavy metals in indoor environments have become even more critical. The purpose of this study was to evaluate the levels and sources of heavy metals in indoor dust, to assess the exposure to heavy metals via indoor dust, and to estimate the associated health risk. The highest median value was measured for Zn (263 µg g-1), while the lowest median concentration value was observed for Cd (0.348 µg g-1). The levels of elements measured in the current study were found to be within the ranges reported in the other parts of the world, mostly close to the lower end of the range. House characteristics such as proximity to the main street, presence of pets, number of occupants, and age of the building were the house characteristics influencing the observed higher concentrations of certain heavy metals in houses. Enrichment factor values range between 1.79 (Cr) and 20.4 (Zn) with an average EF value of 8.80 ± 6.80 representing that the targeted elements are enriched (EF>2) in indoor dust in Ankara. Positive matrix factorization results showed that the heavy metals in the house dust in the study area are mainly contributed from sources namely outdoor dust, carpets/furniture, solders, wall paint/coal combustion, and cigarette smoke. Carcinogenic and non-carcinogenic risk values from heavy metals did not exceed the safe limits recommended by EPA. The highest carcinogenic risk level was caused by Cr. The risk through ingestion was higher than inhalation, and the risk levels were higher for children than for adults.

Integral Assessment of Atmospheric Air Quality in the Largest Cities of Russia Based on TROPOMI (Sentinel-5P) Data for 2019–2020

This paper considers the level of atmospheric air pollution of the 20 largest cities in Russia in 2019–2020. The data used for the study is initially collected by a TROPOMI instrument (on the Sentinel-5P satellite), including measurements of carbon monoxide, formaldehyde, nitrogen dioxide, sulfur dioxide, and aerosol (aerosol index). The measurements were obtained using the cloud-based platform, Google Earth Engine, which presents L3 level data available for direct analysis. The Tropomi Air Quality Index (TAQI) integrates available TROPOMI measurements into a single indicator. The calculation results showed that most of the cities under consideration (15 out of 20) have a low or higher than usual level of pollution. Formaldehyde (35.7%) and nitrogen dioxide (26.4%) play the main role in the composition of pollution particles. A significant share is occupied by sulfur dioxide (16.4%). The contribution of carbon monoxide and aerosol averages 10.8 and 10.6%, respectively. Air pollution in cities is caused by both natural (wildfires, dust storms) and anthropogenic (seasonal migrations of the population, restrictions due to the COVID-19 pandemic) factors. Estimating atmospheric pollution levels in urban areas using an integral index based on remote data (such as TAQI) can be considered as a valuable information addition to existing ground-based measuring systems within the multisensory paradigm.

Opening spatial hinges with mindful writing practice: negotiating Philip Pullman's secret commonwealth

This article enquires how ‘spatial hinges' between author Philip Pullman's series The Book of Dust and different sites are unexpected and elusive, but may opened by mindfulness. Natalie Goldberg's mindful writing practice techniques are used as an interpretative instrument to measure this hinging together of parallel worlds. The research data amalgamates interviews with Oxford fantasy tour guides conducted before COVID 19 restrictions with writing sprints about Lockdown walks in both a local park and on a guided tour of ‘Philip Pullman's Oxford'. The data reveals how a secret commonwealth of elves and fairies infuse the parks with otherworldly, unexpected and exaggerated bucolic awakenings and intersubjectivity, exposing ancient mythical places, including a holloway. On a tour of Oxford, the imaginative storytelling techniques of the guide include impromptu flights of fancy and tilted perspectives that contribute to an atmosphere of unlikeliness, suggestive of Pullman's texts. In addition, an experience of getting lost or ‘de-touring', leads to unexpected encounters with the affective mystical presence of Pullman's novels. The findings conclude that mindfulness may create a state of attunement to the reverberations of the opening of spatial hinges, allowing stories to reveal themselves spontaneously.

What does lockdown smell like? Understanding the COVID-19 pandemic through smell

This paper contributes to understandings of COVID society by offering insights into the lived experience of lockdown. It reveals how larger social and economic impacts of the virus unfold in one suburban town in New Zealand. Employing "smellwalks,” it mobilizes smell as an empirical tool to understand lockdown experience. Drawing from the "sensory turn” this method recognizes smell as a way of knowing social existence and gleaning non-discursive and embodied insights into the global pandemic. This paper endeavors to develop sensory methodology within urban sociology by revealing how smell furthers understandings of place and modes of being during lockdown. It argues changes in suburban smells signal disruption to daily life as a result of the government's social and economic pandemic-response measures. For instance, the empty cold smell of the mall usually warm and bustling with activity, conveys the isolation and loss of social connectedness produced by lockdown restrictions. Similarly, the dry smell of concrete dust created by the closure and demolition of a high-street bank reflects the slowing of the national economy. Attention to smell enables insight into new modes of being for residents that involve heightened anxiety around viral contagion and a slower, quieter, environmentally cleaner way of life.

Deployment and surface operations of the SEIS instrument onboard the InSight mission

On November 26th, 2018, the InSight spacecraft successfully landed on Mars after a 6-month journey. After a long deployment and commissioning phase, the SEIS (Seismic Experiment for Interior Structure) instrument was ready to monitor seismic events on the Elysium Planitia plain on the surface of Mars, coupled with the APSS (Auxiliary Payload Sensor Suite) weather station equipped with a magnetometer, wind sensors, and a pressure sensor. The InSight mission goal is to characterize the deep interior structure of Mars, including the thickness and structure of the crust, the composition and structure of the mantle, and the size of the core. Its nominal duration of two years (2019–2020) has yielded unprecedented results with the detection of the first Martian seismic events ever recorded, and the in-depth characterization of its atmosphere with the best weather station ever deployed on Mars. InSight has collected an outstanding amount of high-quality measurements that the scientific community will spend many years analyzing. The extended mission has started and covers the years 2021 and 2022. This paper will describe the operations of the SEIS experiment on Mars since landing, as well as the challenges of operating this instrument. Energy becomes increasingly limited for payloads on Mars due to a significant amount of dust accumulated on the solar panels and the many dust storms in the Martian atmosphere. A new activity was decided for the extended mission in 2021 which consisted in burying the seismometer cable (or tether) with Martian regolith collected locally using the robotic arm, in order to reduce the seismic noise from that subsystem. Preparation activities, testing, results, associated challenges and lessons learned will be presented. Moreover, the paper will address the challenges faced in carrying out operations with COVID-related constraints, as finding oneself operating a seismometer on Mars from home can be challenging. Finally, management of periods of solar conjunctions, during which communication between Earth and Mars is unavailable, will be addressed. © 2022 IAA

Risk assessment of exposure to the Middle Eastern dust storms in Iran

The aims of this study were to i) assess the relationship between COVID-19 cases with PM10 concentration and ii) investigation premature deaths due to cardiovascular (M-CVD) and respiratory (M-RD) diseases in three classification levels (PM10<50 mu g m(-3) in normal days, 50-200 mu g m(-3) in dusty days, and >200 mu g m(-3) in MED storm), by using daily averages of PM10 concentrations. The number of M-CVD and M-RD were estimated by concentration-response model, per 10(5) people during 2017 to 2021. The results showed that 187, 183, 163, 215, and 206 days were observed with the PM10 concentrations lower than 50 mu g m(-3) during 2017 to 2021, and 178, 180, 200, 150, and 149 days were subtotal with exceeding PM10 from the WHO guideline (50 mu g m(-3)), respectively. A positive correlation (r(2)=0.33, p < 0.05) was found to be between the number of COVID-19 cases and PM10 mean concentrations (r = 0.589, p = 0.046). Our findings showed that the highest M-CVD and M-RD were among exposed people at dusty days (50 < PM10 <= 200 mu g m(-3)) in 2019. The total M-CVD and M-RD from 2017 to 2021 were 11.78 and 12.2, 18.25 and 17.4, 22.29 and 23.78, 10.33 and 7.6, 10.37 and 9.95 per 10(5) people, respectively which 31.48% of health effects were related to PM10 concentrations more than 200 mu g m(-3).

Airborne antibiotic resistome and human health risk in railway stations during COVID-19 pandemic.

Antimicrobial resistance is recognized as one of the greatest public health concerns. It is becoming an increasingly threat during the COVID-19 pandemic due to increasing usage of antimicrobials, such as antibiotics and disinfectants, in healthcare facilities or public spaces. To explore the characteristics of airborne antibiotic resistome in public transport systems, we assessed distribution and health risks of airborne antibiotic resistome and microbiome in railway stations before and after the pandemic outbreak by culture-independent and culture-dependent metagenomic analysis. Results showed that the diversity of airborne antibiotic resistance genes (ARGs) decreased following the pandemic, while the relative abundance of core ARGs increased. A total of 159 horizontally acquired ARGs, predominantly confering resistance to macrolides and aminoglycosides, were identified in the airborne bacteria and dust samples. Meanwhile, the abundance of horizontally acquired ARGs hosted by pathogens increased during the pandemic. A bloom of clinically important antibiotic (tigecycline and meropenem) resistant bacteria was found following the pandemic outbreak. 251 high-quality metagenome-assembled genomes (MAGs) were recovered from 27 metagenomes, and 86 genera and 125 species were classified. Relative abundance of ARG-carrying MAGs, taxonomically assigned to genus of Bacillus, Pseudomonas, Acinetobacter, and Staphylococcus, was found increased during the pandemic. Bayesian source tracking estimated that human skin and anthropogenic activities were presumptive resistome sources for the public transit air. Moreover, risk assessment based on resistome and microbiome data revealed elevated airborne health risks during the pandemic.