| Literature DB >> 32827813 |
Roshan Wathore1, Ankit Gupta2, Hemant Bherwani2, Nitin Labhasetwar3.
Abstract
The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in unprecedented disease burden, healthcare costs, and economic impacts worldwide. Despite several measures, SARS-CoV-2 has been extremely impactful due to its extraordinary infection potential mainly through coronavirus-borne saliva respiratory and droplet nuclei of an infected person and its considerable stability on surfaces. Although the disease has affected over 180 countries, its extent and control are significantly different across the globe, making it a strong case for exploration of its behavior and dependence across various environmental pathways and its interactions with the virus. This has spurred efforts to characterize the coronavirus and understand the factors impacting its transmission and survival such as aerosols, air quality, meteorology, chemical compositions and characteristics of particles and surfaces, which are directly or indirectly associated with coronaviruses infection spread. Nonetheless, many peer-reviewed articles have studied these aspects but mostly in isolation; a complete array of coronavirus survival and transmission from an infected individual through air- and water-borne channels and its subsequent intractions with environmental factors, surfaces, particulates and chemicals is not comprehensively explored. Particulate matter (PM) is omnipresent with variable concentrations, structures and composition, while most of the surfaces are also covered by PM of different characteristics. Learning from the earlier coronavirus studies, including SARS and MERS, an attempt has been made to understand the survival of SARS-CoV-2 outside of the host body and discuss the probable air and water-borne transmission routes and its interactions with the outside environment. The present work 1) Helps appreciate the role of PM, its chemical constituents and surface characteristics and 2) Further identifies gaps in this field and suggests possible domains to work upon for better understanding of transmission and survival of this novel coronavirus.Entities:
Keywords: Air and water borne transmission; COVID-19; Environmental factors; SARS-CoV-2 survival; Surface characteristics
Year: 2020 PMID: 32827813 PMCID: PMC7402210 DOI: 10.1016/j.scitotenv.2020.141486
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963
Fig. 1Survival durations on inanimate surfaces and chemical compositions of factors influencing transmission and survival of SARS-CoV-2. (Reproduced from Wikipedia under CC license 4.0).
1van Doremalen et al. (2020) and Chin et al. (2020)
2 Composition of faecal matter taken from Rose et al. (2015) and Penn et al. (2018)
3US EPA (2020)
4Chandel et al. (2020)
Summary of COVID-19 studies on different environmental parameters and pollutants and their outcomes:
| Study location and details | Parameters explored | Major Outcome | Reference |
|---|---|---|---|
| 122 cities in China | Daily mean temperature, RH, air pressure, and wind speed. | Approximately linear relationship between mean temperature and COVID-19 confirmed cases was in the range of <3 °C | |
| 31 provinces in Mainland China | Ambient daily average temperature | Increasing ambient daily average temperature up to around 13 °C negatively associated with daily cases of COVID-19 | |
| 100 Chinese cities and 1005 US counties | Temperature and RH | Effective reproductive number (R) is reduced for both China and USA with increase in temperature and RH | |
| 55 Italian province capitals | PM10, O3 and Wind data from 2018 | Cities with more than 100 days of exceedance of PM10 or O3 guidelines exhibit higher infections. Low wind speed, high moisture and occurrences of foggy days associated with increased transmission. | |
| Jakarta, Indonesia | Minimum temperature, maximum temperature, average temperature, humidity and rainfall | Only average temperature was significantly correlated with the COVID-19 pandemic | |
| Chinese Provinces | Temperature and humidity | 1 °C (above 5 degrees) increase results in a 10% decrease in the spread of the virus. Very little probability of there being any relationship between humidity | |
| 2 Indian states and 3 Indian cities with 1 city in US as Control Case. | Temperature and Relative Humidity | Effect of temperature is greatly undermined by social distancing factor Effect of humidity is not conclusive. The overall impact of temperature and humidity gets confounded with other environmental factors like air pollution etc. | |
| All 50 US states and Washington DC | Average Humidity | Significant positive correlation between humidity and COVID-19 mortality | |
| 0.25 × 0.25° grid across China | Temperature, specific humidity, UV radiation (satellite derived) | Temperature (0–10 °C), specific humidity (2–6 g/kg), and UV-B radiation (< 1.5 MJ m−2 d) within the specified range may contribute to higher transmission risks for COVID-19 | |
| 30 Provincial capitals of China | Ambient temperature, diurnal temperature range, absolute humidity, migration scale index | Low temperature, mild diurnal temperature range and low humidity likely favor COVID-19 transmission | |
| USA (County-level) | Satellite derived PM2.5 (adjusted for 20 potential confounding factors) | Increase of 1 μg/m3 in PM2.5 associated with an 8% increase in the COVID-19 death rate | |
| 166 countries | Temperature and humidity | Both temperature and relative humidity negatively related to the daily cases and deaths of COVID-19. COVID-19 pandemic may be partially suppressed with temperature and humidity increases. | |
| 120 cities in China | Criteria pollutants: PM2.5, PM10, SO2, CO, NO2 and O3 association with daily confirmed cases | Short-term exposure to all criteria pollutants except SO2 associated with increased risk of infection. | |
| Northern Italy and Central Spain | Satellite derived NO2 and dispersion modeling | Long term exposure to NO2 can lead to higher fatality rates of COVID-19 | |
| 9 Asian cities in China, India, Pakistan and Indonesia | PM2.5 and PM10 | High PM2.5 exposure over a long period (10 years) found to significantly correlate with present COVID-19 mortality per unit reported cases. PM10 exposure did not exhibit significant correlation. |
Major components and constituents of Particulate Mattera.
| Component | Constituents |
|---|---|
| Organic compounds and materials of biological origin | PAH, alkanes, aliphatic acids, pollen, endotoxins, bacteria, fungi, and viruses, primary and seondary organic compounds etc. |
| Minerals | Si, Al, Ca, Mg, Fe, Ti, K |
| Water soluble ions | Cl−, NO3−, SO42−, Na+, K+, NH4+, Ca2+, Mg2+ |
| Trace Elements | Cd, Cr, Cu, Mn, Pb, V, Zn, Te, Co, Ni, Se, Sr, As, Sb |
| Carbonaceous compounds | Organic and Elemental Carbon based several compounds |
| Gaseous pollutants which can react with PM components | Ozone, carbon monoxide, sulfur dioxide, nitrogen oxides, methane, fluorinated gases etc. |
Data compiled from Simoneit, 2004; Adams et al., 2015; Chow et al., 2015; Yang et al., 2018
Fig. 2Role of PM and future research needs in the transmission and survival of SARS-CoV-2.