Study on Dynamic Change of Land Usage in Hongta District Based on Sentinel-2

This work utilizes Sentinel-2A L1C remote sensing photographs from the years 2018, 2020, and 2022 to identify the different land use categories in the study area using the support vector machine (SVM) technique. The accuracy of categorization is greater than 90%. This research explores four factors of the dynamic change in land use in Hongta District from 2018 to 2022: the proportion of various types of land;the extent of something like the changing land usage;land use transfer;and the dynamic degree of the change in land use. According to the study's results, the proportion of cultivated and grassland land grew, while the quantity of barren and construction land fell by 1.90 percent, 0.03 percent, and 0.69 percent, respectively. The water system land portion of total area increased by 2.58 percent and 0.13 percent, respectively. After comparing the two research periods, the entire dynamic degree of the second stage is determined to be 3.5 percent lower than that of the first stage, and the pace of land use change is quite sluggish, which may be associated with the worldwide COVID-19 outbreak in 2020. The outcomes of the research may give the natural resources department the knowledge it needs to manage land resources properly. © 2023 SPIE.

Detection and quantification of sars-cov-2 wastewater treatment plants from different cities in chile, towards to a permanent sentinel surveillance.

Background: The quantification of SARS-CoV-2 in wastewater is a tool that allows determining the trend of viral circulation in a particular geographical area. Aim(s): To quantify the SARS-CoV-2 virus in 15 wastewater treatment plants in different Chilean cities to establish a comparison with the variables of: I) Active cases per 100,000 inhabitants;ii) daily positivity (novel cases);and iii) phases of the lockdown strategy. Method(s): SARS-CoV-2 was concentrated from wastewater samples. To obtain the number of virus genomes per liter, absolute quantification was performed using qRT-PCR. Result(s): Between January and June 2021, 253 samples were processed, all of which were positive for the presence of the virus. Likewise, it will be determined that the rate of active cases per 100,000 inhabitants is the variable that best fits the trends obtained with the quantification of the viral load in wastewater. Conclusion(s): The quantification of SARS- CoV-2 in wastewater as a continuous strategy is an efficient tool to determine the trend of the viral circulation in a delimited geographical area and, combined with genomic surveillance, it can constitute an ideal sentinel surveillance alert on future outbreaks.Copyright © 2022, Sociedad Chilena de Infectologia. All rights reserved.

Comprehensive surveillance of acute respiratory infections during the COVID-19 pandemic: a methodological approach using sentinel networks, Castilla y León, Spain, January 2020 to May 2022.

BackgroundSince 1996, epidemiological surveillance of acute respiratory infections (ARI) in Spain has been limited to seasonal influenza, respiratory syncytial virus (RSV) and potential pandemic viruses. The COVID-19 pandemic provides opportunities to adapt existing systems for extended surveillance to capture a broader range of ARI.AimTo describe how the Influenza Sentinel Surveillance System of Castilla y León, Spain was rapidly adapted in 2020 to comprehensive sentinel surveillance for ARI, including influenza and COVID-19.MethodsUsing principles and methods of the health sentinel network, we integrated electronic medical record data from 68 basic surveillance units, covering 2.6% of the regional population between January 2020 to May 2022. We tested sentinel and non-sentinel samples sent weekly to the laboratory network for SARS-CoV-2, influenza viruses and other respiratory pathogens. The moving epidemic method (MEM) was used to calculate epidemic thresholds.ResultsARI incidence was estimated at 18,942 cases per 100,000 in 2020/21 and 45,223 in 2021/22, with similar seasonal fold increases by type of respiratory disease. Incidence of influenza-like illness was negligible in 2020/21 but a 5-week epidemic was detected by MEM in 2021/22. Epidemic thresholds for ARI and COVID-19 were estimated at 459.4 and 191.3 cases per 100,000 population, respectively. More than 5,000 samples were tested against a panel of respiratory viruses in 2021/22.ConclusionExtracting data from electronic medical records reported by trained professionals, combined with a standardised microbiological information system, is a feasible and useful method to adapt influenza sentinel reports to comprehensive ARI surveillance in the post-COVID-19 era.

Respiratory syncytial virus surge in 2022 caused by lineages already present before the COVID-19 pandemic.

In 2022, Austria experienced a severe respiratory syncytial virus (RSV) epidemic with an earlier-than-usual start (Weeks 35/2021-45/2022) and increased numbers of pediatric patients in emergency departments. This surge came 2 years after a season with no cases detected as a result of coronavirus disease 2019 nonpharmaceutical interventions. We analyzed epidemiologic patterns and the phylodynamics of RSV based on approximately 30 800 respiratory specimens collected year-round over 10 years from ambulatory and hospitalized patients from 248 locations in Austria. Genomic surveillance and phylogenetic analysis of 186 RSV-A and 187 RSV-B partial glycoprotein sequences collected from 2018 to 2022 revealed that the 2022/2023 surge was driven by RSV-B in contrast to the surge in the 2021/2022 season that was driven by RSV-A. Whole-genome sequencing and phylodynamic analysis indicated that the RSV-B strain GB5.0.6a was the predominant genotype in the 2022/2023 season and emerged in late 2019. The results provide insight into RSV evolution and epidemiology that will be applicable to future monitoring efforts with the advent of novel vaccines and therapeutics.

Pan-Respiratory Disease Surveillance in Southeast Asia: Past, Present and Future

The Global Influenza Surveillance and Response System (GISRS) was established by WHO in 1952 to conduct surveillance for influenza to inform strain selection for seasonal vaccines and to monitor for influenza pandemics. In 2016 WHO initiated a pilot project to add RSV to influenza surveillance platforms;this was disrupted by the SARS CoV-2 pandemic, and SARS CoV-2 was the first pathogen to be incorporated into influenza sentinel surveillance on a wide scale. This resulted in a "GISRS-plus" surveillance network for influenza and SARS CoV-2 that is now being standardized by WHO. In the wake of the SARS CoV-2 pandemic, there is global interest and funding to support pan-respiratory disease surveillance, which could result in expanding influenza/SARS CoV-2 surveillance platforms to include other pathogens and enhancing event- and indicator-based surveillance. Challenges with expanding sentinel surveillance include overburdening sentinel surveillance systems, reduced number of samples collected and loss of data quality for influenza and SARS CoV-2;thus, other types of surveillance for respiratory diseases might also be considered. This talk describes CDC-supported influenza surveillance platforms in Southeast Asia and recent successes and challenges in adding SARS CoV-2 to this surveillance. It discusses potential risks and benefits to GISRS-plus surveillance created by including other pathogens. Finally, it discusses decision-making steps on which methods to use for collecting data on respiratory viruses.Copyright © 2023

Sentinel satellite data monitoring of air pollutants with interpolation methods in Guayaquil, Ecuador

In Ecuador, there is a limitation on air quality monitoring due to the cost of monitoring networks. Although air quality monitoring stations are instruments for air measurement, they do not cover an entire city due to their scope. Satellite remote sensing is now an effective tool to study atmospheric pollutants and has been applied to continuously assess a region and overcome the limitations of fixed stations. Despite the application of satellite data for air quality monitoring, there are some limitations, such as measurement frequency, cloud cover and wide spatial resolution, which do not allow the assessment of air pollution in cities. Therefore, downscaling, applying interpolation methods, is essential for continuous air quality monitoring at smaller scales. For this research, Nitrogen Dioxide (NO2) data from the Sentinel-5 satellite percussor was used in the city of Guayaquil for January–December 2020, which is considered before, during and after the COVID-19 quarantine. This mid-size port city does not have a permanent monitoring network, which prevents us from knowing the air quality. Due to the limitation of pixel size, this study used satellite data to apply interpolation techniques and reduce pixels to assess air quality. Two categories of interpolation were selected: deterministic and stochastic. The empirical Bayesian kriging (EBK) interpolation obtained a R2 of 0.9546, which was superior to the other methods applied. Therefore, the EBK method had the best accuracy for tropospheric NO2 concentration. Finally, the method used in this research can help monitor air quality in cities lacking continuous monitoring networks, as the reduction of the pixel size gives us a better pattern of pollutants.

COVID-19 impact on EuroTravNet infectious diseases sentinel surveillance in Europe.

BACKGROUND: The COVID-19 pandemic resulted in a sharp decline of post-travel patient encounters at the European sentinel surveillance network (EuroTravNet) of travellers' health. We report on the impact of COVID-19 on travel-related infectious diseases as recorded by EuroTravNet clinics. METHODS: Travelers who presented between January 1, 2019 and September 30, 2021 were included. Comparisons were made between the pre-pandemic period (14 months from January 1, 2019 to February 29, 2020); and the pandemic period (19 months from March 1, 2020 to September 30, 2021). RESULTS: Of the 15,124 visits to the network during the 33-month observation period, 10,941 (72%) were during the pre-pandemic period, and 4183 (28%) during the pandemic period. Average monthly visits declined from 782/month (pre-COVID-19 era) to 220/month (COVID-19 pandemic era). Among non-migrants, the top-10 countries of exposure changed after onset of the COVID-19 pandemic; destinations such as Italy and Austria, where COVID-19 exposure peaked in the first months, replaced typical travel destinations in Asia (Thailand, Indonesia, India). There was a small decline in migrant patients reported, with little change in the top countries of exposure (Bolivia, Mali). The three top diagnoses with the largest overall decreases in relative frequency were acute gastroenteritis (-5.3%), rabies post-exposure prophylaxis (-2.8%), and dengue (-2.6%). Apart from COVID-19 (which rose from 0.1% to 12.7%), the three top diagnoses with the largest overall relative frequency increase were schistosomiasis (+4.9%), strongyloidiasis (+2.7%), and latent tuberculosis (+2.4%). CONCLUSIONS: A marked COVID-19 pandemic-induced decline in global travel activities is reflected in reduced travel-related infectious diseases sentinel surveillance reporting.

Understanding Patient Experiences with Overactive Bladder

INTRODUCTION AND OBJECTIVE: Overactive bladder (OAB) is highly prevalent, affecting millions of Americans, and poses a significant symptom burden. The purpose of this study was to understand patient experiences with OAB and the impact of these experiences on OAB treatment. METHOD(S): People with symptoms of OAB were recruited from a tertiary care clinic and from an online health research portal to complete semi-structured interviews regarding their OAB experiences. The interviews were recorded, transcribed, coded, and inductively analyzed to identify emerging themes. RESULT(S): We performed 19 interviews and identified several key themes central to the patient experience, including symptom impact and severity, knowledge, stigma, self-efficacy, and regret. We considered these themes along the following stages of the patient's OAB journey. Symptom Development and Awareness: The routine of self-care is insidious and normalized, making realization of a lifestyle that is centered around voiding less obvious to patients, leading to a delay of care-seeking. Participants noted restrictions on all aspects of life. Adjectives used to describe symptom impact included "annoyance, depression, humiliation and desperation." Care-Seeking: Participants expressed coping behaviors during onset and gradual worsening of symptoms, however many recounted a "sentinel event" that heightened their severity perception and served as a cue to action. Routine primary care visit screenings and friend recommendations were additional cues to action. Reasons for careseeking delay included lack of OAB knowledge, stigma, and embarrassment. Experiences with Therapy: Participants recognized that treatment outcomes depended on their engagement. Some individuals regretted their lack of self-advocacy and self-efficacy. Participants highlighted internal barriers (forgetfulness, doubting treatment effectiveness) and external barriers (comorbidities, COVID- 19) to therapy adherence. Among those with high self-efficacy, fear of treatment failure, calendar tools, and social support networks facilitated treatment compliance (Figure 1). CONCLUSION(S): Living with OAB affects patients physically, mentally, and socially. Gaining a better understanding of OAB experiences can help physicians tailor their practice to meet patients' needs.

ASPO effect (Preventive and Compulsory Social Isolation) in the atmosphere of the southwest of the province of Buenos Aires, Argentina

In 2020, Argentina implemented Preventive and Compulsory Social Isolation (ASPO) in the context of the global pandemic caused by the COVID-19 virus. This historical event has led to a decline in economic activities and the movement of the population. Current studies show a decrease in greenhouse gases harmful to health in the atmosphere due to health measures applied to contain the virus. Southwest Buenos Aires (Argentine Republic) is not exempt from these effects. The article aims to analyze the variations of the NO2 levels in pre-pandemic scenarios and during the pandemic. These results indicated a gradual decrease of NO2 related to the decrease in traffic and anthropogenic activities throughout the region, with a significant impact in big cities.

Breast Cancer-Related Lymphedema and its Relationship to Major Landmark Trials in Surgical Oncology and Radiation Oncology

INTRODUCTION: Many landmark trials have challenged the need for extensive axillary surgery and radiation in breast cancer patients. De-escalation of axillary treatment could potentially result in less breast cancer-related lymphedema (BCRL). Our study aims to define the incidence and trends of BRCL over the last 15 years. METHOD(S): Since 2005, our institution has prospectively screened breast cancer patients for lymphedema during and after treatment with a Perometer. 2,334 women diagnosed with breast cancer with baseline arm volume measurements and at least 2 follow-up measurements were divided into 3 cohorts based on date of surgery (Cohort 1: 2005-2010, Cohort 2:2011-2016, Cohort 3: 2016-2022). The cohorts were selected to coincide with publications of the landmark trials NSABP B-32, ASCOG Z0011, ASCOG Z1071, and EORTC 10981-22023 AMAROS which demonstrated safety in reducing the number of axillary lymph node dissections (ALND). Lymphedema was defined as a relative volume change of 10% or greater from preoperative baseline at least 3 months post-operatively. In cases of bilateral surgery, the weight-adjusted arm volume change equation was utilized. Cohort, age, BMI, axillary surgery type, chemotherapy timing, radiation type, and surgery type were all included in the multivariate analysis. RESULT(S): The overall incidence of BCRL was 12.8%, with a 29.6% incidence for those undergoing ALND and a 6.4% incidence for those undergoing sentinel lymph node biopsy. While the number of ALND performed decreased between cohorts (Figure 1), there was no significant difference in BCRL between assigned cohorts (HR 1.02 (95% CI [0.69, 1.51], p=0.930 for cohort 3 vs cohort 1). On multivariate analysis, significant associations with development of BCRL were identified with older age (HR 1.02;95% CI [1.01, 1.03], p=0.002), higher BMI (HR 1.05;95% CI [1.04, 1.07], p< 0.0001) and ALND (HR increased the risk of (HR 3.67;95% CI [2.62, 5.13], p< .0001). Regional lymph node radiation was not significantly associated with BCRL. CONCLUSION(S): Despite a reduction in the number of ALND performed over time, we did not see a dramatic reduction in the incidence of BCRL. Interestingly, between cohort 2 and cohort 3 there was a stable incidence of ALND which could be related to the COVID pandemic with an increase in more advanced cancers and a decrease in the ability to screen patients for BCRL during that time period.

Genomic Surveillance of SARS-CoV-2 in Healthcare Workers: A Critical Sentinel Group for Monitoring the SARS-CoV-2 Variant Shift.

SARS-CoV-2 genome surveillance is important for monitoring risk groups and health workers as well as data on new cases and mortality rate due to COVID-19. We characterized the circulation of SARS-CoV-2 variants from May 2021 to April 2022 in the state of Santa Catarina, southern Brazil, and evaluated the similarity between variants present in the population and healthcare workers (HCW). A total of 5291 sequenced genomes demonstrated the circulation of 55 strains and four variants of concern (Alpha, Delta, Gamma and Omicron-sublineages BA.1 and BA.2). The number of cases was relatively low in May 2021, but the number of deaths was higher with the Gamma variant. There was a significant increase in both numbers between December 2021 and February 2022, peaking in mid-January 2022, when the Omicron variant dominated. After May 2021, two distinct variant groups (Delta and Omicron) were observed, equally distributed among the five Santa Catarina mesoregions. Moreover, from November 2021 to February 2022, similar variant profiles between HCW and the general population were observed, and a quicker shift from Delta to Omicron in HCW than in the general population. This demonstrates the importance of HCW as a sentinel group for monitoring disease trends in the general population.

The epidemiological pattern of seasonal influenza in four sentinel sites in Iraq.

Introduction: Influenza is an acute viral infection with significant morbidity and mortality. It occurs annually each winter, which is called seasonal influenza, and is preventable through safe vaccine. Aim: The aim of this work is to know the epidemiological pattern of patients with seasonal influenza in Iraqi sentinel sites. Methods: A cross-sectional study was carried out on records of patients who attended four sentinel sites and registered to have influenza-like illness (ILI) or severe acute respiratory infection (SARI), and laboratory investigated. Results: The total number of cases was 1124; 36.2% of them aged 19-39 years; 53.9% were female; 74.9% lived in urban areas; 64.3% diagnosed as ILI; and 35.7% as SARI; 15.9% had diabetes, 12.7% had heart disease, 4.8% had asthma, 3% had a chronic lung disease, and 2% had hematological disease; 94.6% did not get influenza vaccine. About COVID-19 vaccine, 69.4% were not vaccinated, 3.5% got only one dose, and 27.1% completed two doses. Only the SARI cases needed admission; among them, 95.7% were cured. 6.5% were diagnosed with influenza-A virus, 26.1% had COVID-19, and 67.5% were negative. Among those with influenza, 97.3% had H3N2 subtype and 2.7% had H1N1 pdm09. Conclusions: The percentage of influenza virus in Iraq is relatively small. The age, classification of case (ILI or SARI), having diabetes, heart disease, or immunological disease, and taking COVID-19 vaccine have a significant association with influenza. Recommendations: It is needed for similar sentinel sites in other health directorates and for rising health education about seasonal influenza and its vaccine.

An assessment of the current epidemiological and laboratory capacities for influenza-like illnesses and severe acute respiratory infection surveillance, Yemen 2022.

Background and Objectives: We aim to re-activate influenza sentinel surveillance system in Yemen after disruption related to repurposing for COVID-19 pandemic. WHO Country Office (CO) in collaboration with Yemen's Ministry of Public Health and Population (MOPH&P) jointly conducted an assessment mission to assess the current situation of the influenza sentinel surveillance system and assess its capacity to detect influenza epidemics and monitor trends in circulating influenza and other respiratory viruses of epidemic and pandemic potential. This study presents the results of the assessment for three sentinel sites located in Aden, Taiz, and Hadramout/Mukalla. Methodology: A mixed methods approach was used to guide the assessment process and to help achieve the objectives. Data were collected as follows: desk review of the sentinel sites records and data; interviews with stakeholders, including key informants and partners; and direct observation through field visits to the sentinel sites, MOPH&P and the Central Public Health Laboratory (CPHL). Two assessment checklists were used: assessment of sentinel sites for SARI surveillance, and checklist for assessment of availability of SARI sentinel surveillance. Results and Conclusion: COVID-19 has affected health systems and services, and this was demonstrated in this assessment. The influenza sentinel surveillance system in Yemen is not effectively functional; however, there is plenty of room for improvement if investment in the system's restructuring, training, building technical and laboratory capacities, and conducting continuous and regular supervision visits.

Changes in NO2 and O3 levels due to the pandemic lockdown in the industrial cities of Tehran and Arak, Iran using Sentinel 5P images, Google Earth Engine (GEE) and statistical analysis.

Air pollution has very damaging effects on human health. In recent years the Coronavirus disease (COVID-19) pandemic has created a worldwide economic disaster. Although the consequences of the COVID-19 lockdowns have had severe effects on economic and social conditions, these lockdowns also have also left beneficial effects on improving air quality and the environment. This research investigated the impact of the COVID-19 lockdown on NO2 and O3 pollutants changes in the industrial and polluted cities of Arak and Tehran in Iran. Based on this, the changes in NO2 and O3 levels during the 2020 lockdown and the same period in 2019 were investigated in these two cities. For this purpose, the Sentinel-5P data of these two pollutants were used during the lockdown period from November 19 to December 05, 2020, and at the same time before the pandemic from November 19 to December 05, 2019. For better results, the effect of climatic factors such as rain and wind in reducing pollution was removed. The obtained results indicate a decrease in NO2 and O3 levels by 3.5% and 6.8% respectively in Tehran and 20.97% and 5.67% in Arak during the lockdown of 2020 compared to the same time in 2019. This decrease can be caused by the reduction in transportation and socio-economic and industrial activities following the lockdown measures. This issue can be a solid point to take a step toward controlling and reducing pollution in non-epidemic conditions by implementing similar standards and policies in the future.

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.

A Novel Ontological Approach to Track Social Determinants of Health in Primary Care

The associated morbidity and mortality from COVID-19 and the public health response to prevent the spread of the virus has repeatedly demonstrated the significant impact of social determinants of health (SDoH) and social inequities on health outcomes. Social prescriptions are interventions aimed at tackling SDoH. In 2019, NHS-England committed to support the use of social prescribing across England. NHS-England commissioned the Oxford-Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) sentinel network to monitor the distribution of social prescribing services within English primary care and, within that, monitor the impact of the COVID-19 pandemic response on SDoH. To track incidence of people presenting to primary care with SDoH-related issues, we implemented an ontological approach to curate SDoH indicators in computerised medical records (CMR) using the Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT). These indicators were then extracted from the RCGP-RSC sentinel network database to present weekly incidence rates per 10,000 people to assess the impact of the pandemic on these SDoH. Pre- versus peri-pandemic, we observed an increase in the recording of several of our SDoH indicators;namely issues related to homelessness, unemployment, mental health, harmful substance use and financial difficulties. As far as we are aware, this is the first time that routinely collected primary care CMR data has been utilised for the monitoring and surveillance of SDoH and demonstrates the feasibility of this approach for future surveillance. © 2022, Springer Nature Switzerland AG.

Comparative retrieval approaches for concentrated Suspended Particulate Matter (CSPM) detection in the Ganges using Sentinel-2 and Cloud Computing

In this paper, there are four distinct models utilized for the retrieval of CSPM from the Sentinel 2A/2B satellite imageries by using cloud computing techniques. In this study, a comparative analysis of different CSPM models was carried out at three different sites (Haridwar, Varanasi, and Hooghly). The study reveals that there are significant changes in CSPM in the Ganges in three different periods such as pre, during, and post-COVID. Noteworthy, fewer anthropogenic activities have generated important transformations in aquatic environments during the COVID. © 2023 IEEE.

Community Health Nurses' Role in Genetic Sequencing: A Prospect for Health Team Preparedness Against Covid-19

Genetic sequencing is a scientific process of reading genetic material using advanced technology. Through genetic sequencing, we can better comprehend super-spreader events and outbreaks, and strengthen national public health responses. A better understanding of the transmission of viruses, the severity of patient illness, and mortality rates can be gained by combining this information with that from the IDSP and patient reports. Connecting the dots between the data and the host's genetics, immunology, clinical outcomes, and risk factors is also possible. Many roadblocks must be overcome before raw sequence data can be put to direct clinical application. Since DNA sequencing has so many potential applications in the field of nursing, it ought to be a required topic for students in the profession. Group wellness Preparing patients for procedures, identifying those most at risk, doing sentinel surveillance, and conducting in-depth studies are all areas in which nurses can be of assistance. The goals of this paper are twofold: (1) to present the notion of genetic sequencing and (2) to highlight the role of Community health nurses. To reduce the impact of pandemics and endemics and improve nursing care, Western countries are seeing an uptick in the participation of nurse scientists in genetic sequencing;the case of newborn screening provides a particularly apt example.Copyright © 2023, Institute of Medico-legal Publication. All rights reserved.

TIME-SERIES ANALYSIS OF AIR QUALITY IN MAJOR CITIES IN THE PHILIPPINES DURING THE COVID-19 PANDEMIC THROUGH SENTINEL-5

Air pollution causes respiratory ailments and drives climate change. Air quality is driven by emissions from various sources, weather patterns, and transport of pollutants. Satellite analysis of pollutants in the atmosphere can provide temporally consistent and spatially wide measurements. In this study, the monthly concentrations of Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Carbon Monoxide (CO), and Ozone (O3) from the Sentinel-5 Tropospheric Monitoring Instrument (TROPOMI) were analyzed in four major cities in the Philippines, representing different climate types. Satellite-based measurements of land surface temperature and rainfall were used to investigate meteorological effects to air pollutants. Seasonal patterns were observed in the time series of NO2, O3 and CO alongside rainfall and LST. During the dry season, high LST and low precipitation is observed to be associated with increase in NO2, O3, and CO concentrations. On the other hand, wet seasons show decreases in concentrations of air pollutants, consistent with the washout effect. The NO2 average concentration in NCR is 1.9, 2.1, 2.3 times higher than in Metro Cebu, Davao City, and Legazpi City, respectively. In contrast, SO2 average concentration is highest in Legazpi City due to the nearby active volcano by a maximum factor of 1.8 compared to other cities. In addition, air quality changes brought about by community quarantines were examined since the onset of the COVID-19 crisis. Transition from the pre-quarantine period to the first lockdown shows sudden decrease by 28% in satellite-based retrievals of NO2 in NCR, mainly due to reduced anthropogenic emissions. As tiers of community quarantines were introduced, an increase in pollutant concentrations was observed, returning to pre-pandemic air quality as the guidelines ease physical and economic restrictions. Monitoring and analyzing the patterns in concentration of air pollutants in relation to meteorological and anthropogenic drivers can help in the air quality management in the country. © 43rd Asian Conference on Remote Sensing, ACRS 2022.

The impact of influenza viruses and influenza vaccination coverage in Italy in the 2021-2022 season: the InfluNet integrated surveillance system and the introduced news

Introduction: In Italy, the InfluNet integrated influenza surveillance system, during the 2021-2022 season, in the middle of the SARS-CoV-2 pandemic, was adequately modified and strengthened to support the monitoring of the spread of the SARS-CoV-2 virus. The present work aims to describe the impact of the 2021-2022 flu season on the Italian population, also in the light of the changes introduced in the InfluNet surveillance system. For a complete assessment of the impact of influenza viruses, the influenza vaccination coverage achieved during the season was also evaluated. Materials and methods: InfluNet is based on a network of sentinel physicians made up of general practitioners and pediatricians, recruited by the Italian Regions, who report cases of Influenza Like Illness (ILI) observed among their patients. Sentinel physicians (sentinel flow) and other doctors working in hospitals (hospital flow) also collaborate in the collection of biological samples for the identification of circulating viruses. To evaluate the impact of ILI on the Italian population, overall incidence (per 1,000 assisted) was calculated, as well as stratified by age group. Furthermore, vaccination coverage (%) in the total Italian population and by age group were also calculated. Results: The 2021-2022 season was characterized by limited circulation of flu viruses. At the end of December 2021, the incidence of ILI reached an initial peak of 5.16 cases per 1,000 assisted. A second peak was identified, also very contained, at the end of March 2022, equal to 5.25 cases per 1,000 assisted. Virological surveillance made it possible to characterize the two waves: the first was mainly supported by the circulation of respiratory syncytial virus, especially in children under five years of age, while the second wave was characterized by the circulation of influenza viruses. 14.4% of clinical samples analyzed by InfluNet network laboratories were found to be positive for influenza viruses. Among the positive samples, 82.9% belonged to the A(H3N2) virus and 29.3% tested positive for SARS-CoV-2. Vaccination coverage in the 2021-2022 season, which decreased in all age groups, was 20.5% in the general population and 58.1% in the elderly population. Discussion and conclusions: In Italy, the 2021-2022 season marked the return of the circulation of influenza viruses after the start of the COVID-19 pandemic, though in a moderate intensity. The InfluNet surveillance system is turning into a respiratory virus monitoring system and has made it possible, this season, to characterize the trend of ILI and to attribute the increase in cases to the various respiratory viruses. Vaccination coverage decreased compared to the previous season. The adoption of preventive measures in recent seasons has profoundly changed the epidemiology of ILI and respiratory viruses in terms of intensity and seasonality. The accumulation of susceptible population, especially in the pediatric age groups, has partly allowed a greater circulation of respiratory viruses in the 2021-2022 season and will also presumably allow it in future seasons. It is therefore increasingly important to vaccinate against flu to reduce serious complications and deaths, especially in the fragile population.