| Literature DB >> 33816082 |
Khaiwal Ravindra1, Akshi Goyal2, Suman Mor2.
Abstract
The fast spread of SARS-CoV-2 presented a worldwide challenge to public health, economy, and educational system, affecting wellbeing of human society. With high transmission rates, there are increasing evidences of COVID-19 spread via bioaerosols from an infected person. The current review was conducted to examine airborne pollen impact on COVID-19 transmission and to identify the major gaps for post-pandemic research. The study used all key terms to identify revenant literature and observation were collated for the current research. Based on existing literature, there is a potential association between pollen bioaerosols and COVID-19. There are few studies focusing the impact of airborne pollen on SARS-CoV-2, which could be useful to advance future research. Allergic rhinitis and asthma patients were found to have pre-modified immune activation, which could help to provide protection against COVID-19. However, does airborne pollen acts as a potent carrier for SARS-CoV-2 transport, dispersal and its proliferation still require multidisciplinary research. Further, a clear conclusion cannot be drawn due to limited evidence and hence more research is needed to show how pollen bioaerosols could affect virus survivals. The small but growing literature review focuses on searching for every possible answer to provide additional security layers to overcome near future corona-like infectious diseases.Entities:
Keywords: AAAAI, American Academy of Allergy, Asthma & Immunology; ACE-2, angiotensin-converting enzyme 2; ARDS, acute respiratory distress syndrome; Airborne pollen; Allergic rhinitis; Asthma; Bioaerosols; CCDC, Chinese Centre for Disease Control and Prevention; CDC, Centers for Disease Control and Prevention; CESM, Community Earth System Model; CMAQ, Community Multiscale Air Quality; COPD, chronic obstructive pulmonary diseases; COVID-19; ERS, European Respiratory Society; FLI, flu-like illnesses; GINA, Global Initiative for Asthma; H1N1, Influenza A virus subtype H1N1; H5N1, avian influenza virus; IgE, Immunoglobulin E; LDT, long-distance transport; MERS, Middle East respiratory syndrome; NHC, National Health Commission; RSV, Respiratory Syncytial Virus infection; SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus-2; STaMPS, Simulator of Timing and Magnitude of Pollen Season; Virus; WAO, World Allergy Organisation; WHO, World Health Organization; WRF, Weather Research Forecasting
Year: 2021 PMID: 33816082 PMCID: PMC7999829 DOI: 10.1016/j.scs.2021.102887
Source DB: PubMed Journal: Sustain Cities Soc ISSN: 2210-6707 Impact factor: 7.587
Fig. 1Overview summarizing the effect of pollen aerosols along with meteorological parameters on COVID-19.
Fig. 2Modes of transmission and dispersal of COVID-19.
Fig. 3Historical flu-like epidemics emerged at the tail-end of every flu-season. Where grey curves indicate the occurrence of different flu-seasons of that year and vertical dash-lines depict the emergence of historical pandemics from 1889-2015 in the Northern hemisphere. (Image taken from- Fox et al., 2017).
Effect of various meteorological parameters on COVID-19 cases.
| Meteorological parameter | Country | Key findings | References |
|---|---|---|---|
| China | Asymmetric nexus between temperature and COVID-19 in 10 affected provinces, three shows positive, two negatives and five mixed trends | ||
| Iran | No significant correlation between temperature and COVID-19 outbreak | ||
| China (Wuhan) | No significance of an increase in temperature is observed to slow down the COVID-19 cases | ||
| Korea | Significantly non-linear relationship between temperature and COVID‐19 cases | ||
| Spain | Insignificant impact between temperature on COVID-19 transmission | ||
| ″Belt and Road” countries | Non-linear correlation between temperature and COVID-19 in 127 countries | ||
| Turkey | Negative correlation between humidity and number of COVID-19 cases (81 provinces) | ||
| Iran | Reverse relationship between humidity and COVID-19 | ||
| ″Belt and Road” countries | Non-linear correlation between relative humidity and COVID-19 in 127 countries | ||
| China | No significant relationship between COVID-19 and absolute humidity | Shi, Dong et al. (2020a) and Shi, Gao et al. (2020b) | |
| Italy | Positive correlation between precipitation and COVID-19 transmission | ||
| Jakarta (Indonesia) | Rainfall was not significantly correlated with COVID-19 | ||
| Iran | No correlation between rainfall and COVID-19 cases | ||
| Turkey | Shows a positive correlation between wind and COVID-19 cases | ||
| Iran | Significant inverse relationship between wind and COVID-19 infection rate |
Summary of studies in relation to allergic rhinitis, asthma and COVID-19.
| Country | No. of COVID-19 cases | Key findings | Reference |
|---|---|---|---|
| China | 1590 | No asthmatic patient involved among 1590 COVID-19 patients | |
| Wuhan, China | 140 | No patients were found to have asthma or allergic rhinitis | |
| New York, USA | 737 | Pre-existing eosinophils found in asthmatic patients, protective against COVID-19 with decreased mortality | |
| China | 138 | With a prevalence of 1.1 %–2.9 %, chronic obstructive pulmonary diseases (COPD) are less common in COVID‐19 cases | |
| Prato, Italy | 275 | Very low prevalence of asthmatics patients among admitted COVID‐19 patients | |
| China | 2143 | No asthmatic patient among pediatric cases of COVID-19 | |
| China | 110 | Ratio of asthma and allergic rhinitis were far lower than those of domestic morbidity among COVID-19 patients. | Shi, Dong et al. (2020a) and Shi, Gao et al. (2020b) |
| Italy | 12,055 | allergic children have higher counts of eosinophils and no symptom of dyspnea than COVID-19 patient |
Fig. 4Possible features of allergic diseases or asthma patients that are found associated with reduced potential for the severity of COVID-19.