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  1. Article ; Online: Impact of international travel dynamics on domestic spread of 2019-nCoV in India: origin-based risk assessment in importation of infected travelers.

    Gunthe, Sachin S / Patra, Satya S

    Globalization and health

    2020  Volume 16, Issue 1, Page(s) 45

    Abstract: The recent pandemic caused by the 2019 outbreak of novel coronavirus (2019-nCoV or COVID-19) has affected more than 3.0 million people resulting ~ 212,000 deaths across 215 countries/territories as on 28th April 2020. The importation of the cases owing ... ...

    Abstract The recent pandemic caused by the 2019 outbreak of novel coronavirus (2019-nCoV or COVID-19) has affected more than 3.0 million people resulting ~ 212,000 deaths across 215 countries/territories as on 28th April 2020. The importation of the cases owing to enormous international travels from the affected countries is the foremost reason for local cycle of transmission. For a country like India, the second most populous country in the world with ~ 1.35 billion population, the management and control of 2019-nCoV domestic spread heavily relied on effective screening and strict quarantine of passengers arriving at various international airports in India from affected countries. Here, by extracting the data from FLIRT, an online airline database for more than 800 airlines, and scanning more than 180,000 flights and 39.9 million corresponding passenger seats during 4th - 25th March, we show that India experienced the highest risk index of importing the passengers from middle eastern airports. Contrary to perception, travelers from China imposed lowest risk of importing the infected cases in India. This is clearly evident form the fact that while the number of infected cases were on the peak in China India was one of the least affected countries. The number of cases in India started exhibiting a sharp increase in the infected cases only after the European countries and USA recorded large number of infected cases. We further argue that while the number of cases in middle eastern countries may still be very low, the airports in middle eastern countries, particularly Dubai, being one of the largest transit hubs for international passengers, including arriving in India, might have posed a higher risk of getting infected with 2019-nCoV. We suggest that any future travel related disease infection screening at the airports should critically assess the passengers from major transit hubs in addition to affected country of origin.
    MeSH term(s) Aircraft ; Airports ; COVID-19 ; China/epidemiology ; Communicable Diseases, Imported ; Coronavirus Infections/epidemiology ; Coronavirus Infections/transmission ; Disease Outbreaks/prevention & control ; Humans ; India/epidemiology ; Mass Screening/methods ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/transmission ; Quarantine ; Risk Assessment/methods ; Travel ; Travel-Related Illness
    Keywords covid19
    Language English
    Publishing date 2020-05-12
    Publishing country England
    Document type Journal Article
    ISSN 1744-8603
    ISSN (online) 1744-8603
    DOI 10.1186/s12992-020-00575-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Mechanisms and Pathways for Coordinated Control of Fine Particulate Matter and Ozone.

    Ojha, Narendra / Soni, Meghna / Kumar, Manish / Gunthe, Sachin S / Chen, Ying / Ansari, Tabish U

    Current pollution reports

    2022  , Page(s) 1–11

    Abstract: Purpose of review: Fine particulate matter (PM: Recent findings: Global warming has led to a general increase in biogenic emissions, which can enhance the formation of O: Summary: Atmospheric chemistry including the role of biogenic emissions, ... ...

    Abstract Purpose of review: Fine particulate matter (PM
    Recent findings: Global warming has led to a general increase in biogenic emissions, which can enhance the formation of O
    Summary: Atmospheric chemistry including the role of biogenic emissions, aerosol-radiation interactions, boundary layer, and regional-scale transport are the key aspects that need to be carefully considered in the formulation of mitigation pathways. Therefore, a thorough understanding of the chemical effects of the emission reductions, changes in photolytic rates and boundary layer due to perturbation of solar radiation, and the effect of meteorological/seasonal changes are needed on a regional basis. Statistical emulators and machine learning approaches can aid the cumbersome process of multi-sector multi-species source attribution.
    Language English
    Publishing date 2022-08-15
    Publishing country Switzerland
    Document type Journal Article ; Review
    ISSN 2198-6592
    ISSN (online) 2198-6592
    DOI 10.1007/s40726-022-00229-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Black carbon over tropical Indian coast during the COVID-19 lockdown: inconspicuous role of coastal meteorology.

    Vaishya, Aditya / Raj, Subha S / Singh, Aishwarya / Sivakumar, Swetha / Ojha, Narendra / Sharma, Som Kumar / Ravikrishna, Raghunathan / Gunthe, Sachin S

    Environmental science and pollution research international

    2023  Volume 30, Issue 15, Page(s) 44773–44781

    Abstract: Black carbon (BC) aerosols critically impact the climate and hydrological cycle. The impact of anthropogenic emissions and coastal meteorology on BC dynamics, however, remains unclear over tropical India, a globally identified hotspot. In this regard, we ...

    Abstract Black carbon (BC) aerosols critically impact the climate and hydrological cycle. The impact of anthropogenic emissions and coastal meteorology on BC dynamics, however, remains unclear over tropical India, a globally identified hotspot. In this regard, we have performed in situ measurements of BC over a megacity (Chennai, 12° 59' 26.5″ N, 80° 13' 51.8″ E) on the eastern coast of India during January-June 2020, comprising the period of COVID-19-induced strict lockdown. Our measurements revealed an unprecedented reduction in BC concentration by an order of magnitude as reported by other studies for various other pollutants. This was despite having stronger precipitation during pre-lockdown and lesser precipitation washout during the lockdown. Our analyses, taking mesoscale dynamics into account, unravels stronger BC depletion in the continental air than marine air. Additionally, the BC source regime also shifted from a fossil-fuel dominance to a biomass burning dominance as a result of lockdown, indicating relative reduction in fossil fuel combustion. Considering the rarity of such a low concentration of BC in a tropical megacity environment, our observations and findings under near-natural or background levels of BC may be invaluable to validate model simulations dealing with BC dynamics and its climatic impacts in the Anthropocene.
    MeSH term(s) Humans ; Air Pollutants/analysis ; COVID-19 ; Meteorology ; India ; Communicable Disease Control ; Respiratory Aerosols and Droplets ; Fossil Fuels/analysis ; Carbon/analysis ; Environmental Monitoring
    Chemical Substances Air Pollutants ; Fossil Fuels ; Carbon (7440-44-0)
    Language English
    Publishing date 2023-01-26
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-25370-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Impact of international travel dynamics on domestic spread of 2019-nCoV in India: origin-based risk assessment in importation of infected travelers

    Gunthe, Sachin S / Patra, Satya S

    Global Health

    Abstract: The recent pandemic caused by the 2019 outbreak of novel coronavirus (2019-nCoV or COVID-19) has affected more than 3.0 million people resulting ~ 212,000 deaths across 215 countries/territories as on 28th April 2020. The importation of the cases owing ... ...

    Abstract The recent pandemic caused by the 2019 outbreak of novel coronavirus (2019-nCoV or COVID-19) has affected more than 3.0 million people resulting ~ 212,000 deaths across 215 countries/territories as on 28th April 2020. The importation of the cases owing to enormous international travels from the affected countries is the foremost reason for local cycle of transmission. For a country like India, the second most populous country in the world with ~ 1.35 billion population, the management and control of 2019-nCoV domestic spread heavily relied on effective screening and strict quarantine of passengers arriving at various international airports in India from affected countries. Here, by extracting the data from FLIRT, an online airline database for more than 800 airlines, and scanning more than 180,000 flights and 39.9 million corresponding passenger seats during 4th - 25th March, we show that India experienced the highest risk index of importing the passengers from middle eastern airports. Contrary to perception, travelers from China imposed lowest risk of importing the infected cases in India. This is clearly evident form the fact that while the number of infected cases were on the peak in China India was one of the least affected countries. The number of cases in India started exhibiting a sharp increase in the infected cases only after the European countries and USA recorded large number of infected cases. We further argue that while the number of cases in middle eastern countries may still be very low, the airports in middle eastern countries, particularly Dubai, being one of the largest transit hubs for international passengers, including arriving in India, might have posed a higher risk of getting infected with 2019-nCoV. We suggest that any future travel related disease infection screening at the airports should critically assess the passengers from major transit hubs in addition to affected country of origin.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #245111
    Database COVID19

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  5. Article ; Online: Impact of international travel dynamics on domestic spread of 2019-nCoV in India

    Gunthe, Sachin S. / Patra, Satya S.

    Globalization and health, 16(1):45

    origin-based risk assessment in importation of infected travelers

    2020  

    Abstract: The recent pandemic caused by the 2019 outbreak of novel coronavirus (2019-nCoV or COVID-19) has affected more than 3.0 million people resulting ~ 212,000 deaths across 215 countries/territories as on 28th April 2020. The importation of the cases owing ... ...

    Abstract The recent pandemic caused by the 2019 outbreak of novel coronavirus (2019-nCoV or COVID-19) has affected more than 3.0 million people resulting ~ 212,000 deaths across 215 countries/territories as on 28th April 2020. The importation of the cases owing to enormous international travels from the affected countries is the foremost reason for local cycle of transmission. For a country like India, the second most populous country in the world with ~ 1.35 billion population, the management and control of 2019-nCoV domestic spread heavily relied on effective screening and strict quarantine of passengers arriving at various international airports in India from affected countries. Here, by extracting the data from FLIRT, an online airline database for more than 800 airlines, and scanning more than 180,000 flights and 39.9 million corresponding passenger seats during 4th – 25th March, we show that India experienced the highest risk index of importing the passengers from middle eastern airports. Contrary to perception, travelers from China imposed lowest risk of importing the infected cases in India. This is clearly evident form the fact that while the number of infected cases were on the peak in China India was one of the least affected countries. The number of cases in India started exhibiting a sharp increase in the infected cases only after the European countries and USA recorded large number of infected cases. We further argue that while the number of cases in middle eastern countries may still be very low, the airports in middle eastern countries, particularly Dubai, being one of the largest transit hubs for international passengers, including arriving in India, might have posed a higher risk of getting infected with 2019-nCoV. We suggest that any future travel related disease infection screening at the airports should critically assess the passengers from major transit hubs in addition to affected country of origin.
    Keywords COVID-19 ; India ; Travel risk assessment ; Airport screening ; covid19
    Language English
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Identification and physico-chemical characterization of microplastics in marine aerosols over the northeast Arabian Sea.

    Kaushik, Ankush / Gupta, Priyansha / Kumar, Ashwini / Saha, Mahua / Varghese, Emil / Shukla, Garima / Suresh, K / Gunthe, Sachin S

    The Science of the total environment

    2023  Volume 912, Page(s) 168705

    Abstract: Microplastics (MPs) in the atmosphere can undergo long-range transport from emission regions to pristine terrestrial and oceanic ecosystems. Due to their inherent toxic and hazardous characteristics, MPs pose serious risks to both human well-being and ... ...

    Abstract Microplastics (MPs) in the atmosphere can undergo long-range transport from emission regions to pristine terrestrial and oceanic ecosystems. Due to their inherent toxic and hazardous characteristics, MPs pose serious risks to both human well-being and the equilibrium of ecosystem. The present study outlines the comprehensive characterization, spanning physical and chemical attributes of MPs associated with atmospheric aerosols. Total suspended particulates (TSPs) were collected on a quartz fibre filter by operating a high-volume sampler for 24 h during distinct years (March, 2016 and November, 2020) at a coastal location in the northeast Arabian Sea. Subsequent to the sampling, a series of techniques were applied including density separation. The assessment and scrutiny of the MPs was carried out using stereo-zoom microscopy with supplementary validation using advanced fluorescence microscopy for enhanced precision in identification. Our comparative assessment suggests peroxide treatment followed by density separation could be a robust procedure for the definitive identification and characterization of MPs in the atmosphere. Average total abundance of MPs was found to be 1.30 ± 0.14 n/m
    Language English
    Publishing date 2023-11-23
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.168705
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Metals in coarse ambient aerosol as markers for source apportionment and their health risk assessment over an eastern coastal urban atmosphere in India.

    Panda, Upasana / Boopathy, R / Gadhavi, H S / Renuka, K / Gunthe, Sachin S / Das, Trupti

    Environmental monitoring and assessment

    2021  Volume 193, Issue 5, Page(s) 311

    Abstract: ... Ambient ... ...

    Abstract Ambient PM
    MeSH term(s) Adult ; Aerosols/analysis ; Air Pollutants/analysis ; Child ; Environmental Monitoring ; Humans ; India ; Particle Size ; Particulate Matter/analysis ; Risk Assessment ; Seasons
    Chemical Substances Aerosols ; Air Pollutants ; Particulate Matter
    Language English
    Publishing date 2021-04-29
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 782621-7
    ISSN 1573-2959 ; 0167-6369
    ISSN (online) 1573-2959
    ISSN 0167-6369
    DOI 10.1007/s10661-021-09057-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Exploring the potential of machine learning for simulations of urban ozone variability.

    Ojha, Narendra / Girach, Imran / Sharma, Kiran / Sharma, Amit / Singh, Narendra / Gunthe, Sachin S

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 22513

    Abstract: Machine learning (ML) has emerged as a powerful technique in the Earth system science, nevertheless, its potential to model complex atmospheric chemistry remains largely unexplored. Here, we applied ML to simulate the variability in urban ozone ( ... ...

    Abstract Machine learning (ML) has emerged as a powerful technique in the Earth system science, nevertheless, its potential to model complex atmospheric chemistry remains largely unexplored. Here, we applied ML to simulate the variability in urban ozone (O
    Language English
    Publishing date 2021-11-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-01824-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Impact of international travel dynamics on domestic spread of 2019-nCoV in India

    Sachin S. Gunthe / Satya S. Patra

    Globalization and Health, Vol 16, Iss 1, Pp 1-

    origin-based risk assessment in importation of infected travelers

    2020  Volume 7

    Abstract: Abstract The recent pandemic caused by the 2019 outbreak of novel coronavirus (2019-nCoV or COVID-19) has affected more than 3.0 million people resulting ~ 212,000 deaths across 215 countries/territories as on 28th April 2020. The importation of the ... ...

    Abstract Abstract The recent pandemic caused by the 2019 outbreak of novel coronavirus (2019-nCoV or COVID-19) has affected more than 3.0 million people resulting ~ 212,000 deaths across 215 countries/territories as on 28th April 2020. The importation of the cases owing to enormous international travels from the affected countries is the foremost reason for local cycle of transmission. For a country like India, the second most populous country in the world with ~ 1.35 billion population, the management and control of 2019-nCoV domestic spread heavily relied on effective screening and strict quarantine of passengers arriving at various international airports in India from affected countries. Here, by extracting the data from FLIRT, an online airline database for more than 800 airlines, and scanning more than 180,000 flights and 39.9 million corresponding passenger seats during 4th – 25th March, we show that India experienced the highest risk index of importing the passengers from middle eastern airports. Contrary to perception, travelers from China imposed lowest risk of importing the infected cases in India. This is clearly evident form the fact that while the number of infected cases were on the peak in China India was one of the least affected countries. The number of cases in India started exhibiting a sharp increase in the infected cases only after the European countries and USA recorded large number of infected cases. We further argue that while the number of cases in middle eastern countries may still be very low, the airports in middle eastern countries, particularly Dubai, being one of the largest transit hubs for international passengers, including arriving in India, might have posed a higher risk of getting infected with 2019-nCoV. We suggest that any future travel related disease infection screening at the airports should critically assess the passengers from major transit hubs in addition to affected country of origin.
    Keywords COVID-19 ; India ; Travel risk assessment ; Airport screening ; Public aspects of medicine ; RA1-1270 ; covid19
    Subject code 950
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: SARS-CoV, MERS-CoV, and 2019-nCoV viruses: an overview of origin, evolution, and genetic variations.

    Krishnamoorthy, Sarayu / Swain, Basudev / Verma, R S / Gunthe, Sachin S

    Virusdisease

    2020  Volume 31, Issue 4, Page(s) 411–423

    Abstract: Coronaviruses are single stranded RNA viruses usually present in bats (reservoir hosts), and are generally lethal, highly transmissible, and pathogenic viruses causing sever morbidity and mortality rates in human. Several animals including civets, camels, ...

    Abstract Coronaviruses are single stranded RNA viruses usually present in bats (reservoir hosts), and are generally lethal, highly transmissible, and pathogenic viruses causing sever morbidity and mortality rates in human. Several animals including civets, camels, etc. have been identified as intermediate hosts enabling effective recombination of these viruses to emerge as new virulent and pathogenic strains. Among the seven known human coronaviruses SARS-CoV, MERS-CoV, and SARS-CoV-2 (2019-nCoV) have evolved as severe pathogenic forms infecting the human respiratory tract. About 8096 cases and 774 deaths were reported worldwide with the SARS-CoV infection during year 2002; 2229 cases and 791 deaths were reported for the MERS-CoV that emerged during 2012. Recently ~ 33,849,737 cases and 1,012,742 deaths (data as on 30 Sep 2020) were reported from the recent evolver SARS-CoV-2 infection. Studies on epidemiology and pathogenicity have shown that the viral spread was potentially caused by the contact route especially through the droplets, aerosols, and contaminated fomites. Genomic studies have confirmed the role of the viral spike protein in virulence and pathogenicity. They target the respiratory tract of the human causing severe progressive pneumonia affecting other organs like central nervous system in case of SARS-CoV, severe renal failure in MERS-CoV, and multi-organ failure in SARS-CoV-2. Herein, with respect to current awareness and role of coronaviruses in global public health, we review the various factors involving the origin, evolution, and transmission including the genetic variations observed, epidemiology, and pathogenicity of the three potential coronaviruses variants SARS-CoV, MERS-CoV, and 2019-nCoV.
    Keywords covid19
    Language English
    Publishing date 2020-10-16
    Publishing country India
    Document type Journal Article ; Review
    ZDB-ID 2846993-8
    ISSN 2347-3517 ; 2347-3584
    ISSN (online) 2347-3517
    ISSN 2347-3584
    DOI 10.1007/s13337-020-00632-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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