Differential effects of size-specific particulate matter on emergency department visits for respiratory and cardiovascular diseases in Guangzhou, China

Ge, Erjia; Lai, Kefang; Xiao, Xiong; Luo, Ming; Zheng, Fang; Zeng, Yanyan; Hong, Ji-Hyung; Zhong, Nanshan

doi:10.1016/j.envpol.2018.08.068

Cited by 69 publications

(27 citation statements)

References 49 publications

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“…Fourthly, many risk factors were not analyzed due to the lack of corresponding data, such as air pollution, patient socioeconomic status, private ownership of primary care providers, and healthcare utilization factors. [19,20] Fifthly, many potential confounding factors were not investigated. For examples, a follow-up interview with the ED patients, and ED doctors and other related clinicians.…”

Section: Discussionmentioning

confidence: 99%

Epidemiological characteristics and disease spectrum of emergency patients in two cities in China: Hong Kong and Shenzhen

Chen

Fan

Leung

2020

World Journal of Emergency Medicine

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Section: Discussionmentioning

confidence: 99%

Epidemiological characteristics and disease spectrum of emergency patients in two cities in China: Hong Kong and Shenzhen

Chen

Fan

Leung

2020

World Journal of Emergency Medicine

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“…Most of air quality studies reported that short-term exposure to particulate matter, PM 2.5 can be related to acute lower respiratory infection (Bates et al, 2018;Martins and Carrilho, 2020;Tan et al, 2019;Wu, 2019). However, not only PM 2.5 , but PM 10 was also found to be have a significant relation with hospitalization due to the respiratory illness and pneumonia (Cheng et al, 2020;Chew et al, 2020;Ge et al, 2018;Luong et al, 2016;Mäkelä et al, 2019;Nephew et al, 2020;Pun et al, 2017;Rooij et al, 2019;.…”

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confidence: 99%

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Sahoo

2020

Preprint

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SARS-CoV-2 (Coronavirus) disease represents the causative agent with a potentially fatal risk which is having great global human health concern. Earlier studies suggested that air pollutants and meteorological factors were considered as the risk factors for acute respiratory infection, which carries harmful pathogens and affects the immunity. The study intended to explore the correlation between air pollutants, meteorological factors and the daily reported infection cases caused by novel coronavirus in India. The daily positive infected cases, air pollution and meteorological factors in 288 districts were collected from January 30, 2020 to April 23, 2020 in India. Speraman’s correlation and generalised additive model were applied to investigate the correlations of four air pollutants (PM2.5, PM10, NO2 and SO2) and eight meteorological factors (Temp, DTR, RH, AH, AP, RF, WS and WD) with COVID-19 infected cases. The study indicated that a 10 µg/m3 increase during (Lag0-14) in PM2.5, PM10 and NO2 was resulted in 2.21% (95%CI: 1.13 to 3.29), 2.67% (95% CI: 0.33 to 5.01) and 4.56 (95% CI: 2.22 to 6.90) increase in daily counts of COVID 19 infected cases respectively. However, only 1 unit increase in meteorological factor levels in case of daily mean temperature and DTR during (Lag0-14) associated with 3.78% (95%CI: 1.81 to 5.75) and 1.82% (95% CI: -1.74 to 5.38) rise of COVID-19 infected cases respectively. In addition, SO2 and relative humidity were negatively associated with COVID-19 infected cases at Lag0-14 with decrease of 7.23% (95% CI: -10.99 to -3.47) and 1.11% (95% CI: -3.45 to 1.23) for SO2 and for relative humidity respectively. The study recommended that there is significant relationship between air pollutants and meteorological factors with COVID-19 infected cases, which substantially explain the effect of national lockdown and suggested positive implications for control and prevention of the spread of SARS-CoV-2 disease.

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“…WS represented average wind speed, 3 df was used to adjust for average wind speed. Besides, time was used as a variable to control the long-term trend effect using 3 df [22].…”

Section: Discussionmentioning

confidence: 99%

Risk effects of low temperature and high humidity on the spread of COVID-19 in California: Time series study

Fang

Wang

Pan

2020

Preprint

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Background Previous researches inferred that ‘summer’ might weaken COVID-19 transmission. However, with the warming weather coming, the COVID-19 pandemic was still intensifying. Methods This study aimed to investigate the associations between temperature, relative humidity, and COVID-19 cases using the Distributed Lag Non-linear Model (DLNM) from Jan 27th to July 15th, 2020, in California, US. Results It showed that as of July 15, 2020, there were 355 285 reported cases in California, where the temperature was between 6.33 °C and 30.72 °C and the relative humidity was between 23% and 100%. Temperature from 6.33 °C to 9 °C, relative humidity from 80–98% were the risky factors of COVID-19 transmission. It increased the risk of 95.4% at 6.33 °C (RR:1.954; CI: 1.032–3.701). It increased the risk of 70.3% when the humidity was 98% (RR: 1.703, CI: 1.049–2.765). When the temperature > 9 °C and the relative humidity < 80%, there was no statistical association. Conclusions This suggested that in winter with low temperature and high humidity, the spread of the COVID-19 would be severe due to weather factors. However, temperature and humidity were not related to the COVID-19 pandemic in summer. It did not mean that ‘summer’ would weaken the spread of COVID-19 in California. Therefore, special attention should be paid to the prevention and treatment of COVID-19 in the winter. And it cannot be ignored in summer, otherwise, it will also cause a counterattack against the epidemic.

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Differential effects of size-specific particulate matter on emergency department visits for respiratory and cardiovascular diseases in Guangzhou, China

Cited by 69 publications

References 49 publications

Epidemiological characteristics and disease spectrum of emergency patients in two cities in China: Hong Kong and Shenzhen

Epidemiological characteristics and disease spectrum of emergency patients in two cities in China: Hong Kong and Shenzhen

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Risk effects of low temperature and high humidity on the spread of COVID-19 in California: Time series study

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