Response of air quality to short-duration high-strength human tourism activities at a natural scenic spot: a case study in Zhangjiajie, China

Juan, Du; Liu, Chunqiong; Wu, Bo; Zhang, Jiao; Huang, Yi; Shi, Kai

doi:10.1007/s10661-021-09366-7

Cited by 6 publications

(6 citation statements)

References 48 publications

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“…Paradox between adequate sanitation and rainfall in dengue fever cases (Oliveira et al, 2023) x x x Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction (Yu et al, 2018) x Response of air quality to short-duration high-strength human tourism activities at (Du et al, 2021) x DELOS: Desarrollo Local Sostenible, Curitiba, v.17, n.55, p. 01-17, 2024 a natural scenic spot: a case study in Zhangjiajie, China Slow 0.1 Hz Breathing and Body Posture Induced Perturbations of RRI and Respiratory Signal Complexity and Cardiorespiratory Coupling (Matić et al, 2020) x…”

Section: Resultados E Discussõesmentioning

confidence: 99%

“…O estudo da dengue realizado por Filho et al (2021) Em relação aos artigos indicados na busca "ρDCCAsearch AND environmental science", são tratados assuntos sobre a temperatura e a umidade relativa do ar (Brito;Araújo;Zebende, 2019;Lim et al, 2013), radiação solar (Nogueira, 2019), qualidade do ar (Du et al, 2021), mercados de carbono (Yin;Zhu;Fan, 2023;Zhang et al, 2020), material particulado absorvível (Kang et al, 2013;Chen, 2018), entre outros (Pereira et al, 2022). Porém, os três artigos do termo "ρDCCAsearch AND dengue" relacionam as questões ambientais como fatores relevantes para a propagação da dengue.…”

Section: Doençaunclassified

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O potencial do método ρDCCA nas ciências da saúde: uma revisão integrativa com foco na Dengue

Oliveira,

Cardoso

2024

Rev. DELOS

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Introdução: Doenças, incluindo doenças tropicais negligenciadas, representam um problema significativo para a saúde pública em todo o mundo, sendo a dengue uma grande preocupação. Os países de baixa e média renda são particularmente afetados por essas doenças. A ocorrência de epidemias, como a transmissão da dengue, é influenciada pelas mudanças climáticas e variáveis ambientais. Objetivo: O estudo tem o objetivo de aprimorar a compreensão do método ρDCCA no campo das ciências da saúde, explorando artigos relacionados à doenças, especialmente a dengue, e considerando as influências de aspectos ambientais, por meio de uma revisão integrativa. Método: Este artigo apresenta uma metodologia de revisão da literatura, incluindo a definição de critérios de inclusão, análise dos resultados dos estudos selecionados e apresentação e discussão dos resultados. Os artigos foram selecionados com base no uso do método ρDCCA e termos associados. A busca utilizou palavras-chave relacionadas ao método associado a dengue, doenças, epidemias e ciências ambientais. Resultados: Ao analisar os estudos relacionados, verificou-se que o método ρDCCA é pouco explorado em relação aos termos propostos na metodologia. Apenas 0,43% dos artigos analisados tratam da dengue, doenças, epidemias e ciências ambientais e os artigos apresentaram resultados interessantes, ressaltando que o método pode ser aplicado em futuras pesquisas nesses campos. Conclusão: Apesar do número limitado de estudos, os artigos selecionados contribuíram para um melhor entendimento de questões relacionadas a ciência da saúde, evidenciando as potencialidades do método. Assim, é necessário ampliar as pesquisas nessas áreas para expandir o conhecimento e a aplicação do ρDCCA, a fim de desenvolver estratégias mais eficazes que podem colaborar no controle de doenças, avaliar os efeitos das variáveis ambientais e encontrar soluções para problemas de saúde pública.

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Section: Resultados E Discussõesmentioning

confidence: 99%

Section: Doençaunclassified

O potencial do método ρDCCA nas ciências da saúde: uma revisão integrativa com foco na Dengue

Oliveira,

Cardoso

2024

Rev. DELOS

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“…The previous determination method was an oversaturation strategy. For example, on July 17, 2021, after three newly confirmed cases were found in Zhangjiajie, the government blocked and isolated all people in Zhangjiajie, including approximately 11,900 tourists and tested for nucleic acid, which may be an excessive epidemic prevention strategy to a certain extent ( 29 ). Owing to the excessive number of stranded people, allocation of living resources, insufficient capacity of the local medical and epidemic prevention system, and possible shortage of human, material, and medical resources, resulted in the consumption of unnecessary human and social resources.…”

Section: Discussionmentioning

confidence: 99%

Epidemic history investigation: a new method of finding close contacts

Liu

et al. 2023

Front. Public Health

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IntroductionCoronavirus disease 2019 has become a major global public health concern in December 2019. However, finding and excluding close contacts of COVID-19 infectors is a critical but difficult issue. This study aimed to introduce a new method of epidemiological investigation named space–time companions, which was adopted in Chengdu, China, in November 2021.MethodsAn observational investigation was conducted during a small outbreak of COVID-19 in Chengdu, China in November 2021. A new method of epidemiological investigation called space–time companion was adopted in this outbreak, which was defined as the one who stayed in the same spatiotemporal grid (range: 800 m * 800 m) with the confirmed COVID-19 infector for more than 10 min in the last 14 days. A flow chart was used to describe the screening process of space–time companions in detail and illustrate the space–time companion epidemic management method.ResultsThe COVID-19 epidemic outbreak in Chengdu was effectively controlled for approximately one incubation period (14 days). After four rounds of space–time companions screening, more than 450,000 space–time companions were screened, including 27 COVID-19 infectors. Moreover, in the subsequent rounds of nucleic acid testing for all people in the city, no infected person were found proving the end of this epidemic outbreak.ConclusionThe space–time companion provides a new idea for screening close contacts of the COVID-19 infector and other similar infectious diseases, which can serve as a supplement to traditional epidemiological history surveys to verify and avoid missing close contacts.

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“…For example, Shi ( 2014 ) used the DCCA method to reveal that the relationship between ambient dioxins and precipitation (or PM 10 ) manifested a long-term cross-correlation at the time scale ranging from 1 month to 1 year. Du et al ( 2021 ) applied DCCA method to report that the high-frequency mode of NO 2 between urban area and scenic spots in Zhangjiajie at different time scales showed long-term cross-correlation at 24-h time scale. He ( 2016 ) used DCCA method to find that there was a long-term cross-correlation between pollutants and meteorology at a 10-year time scale, and it was more obvious in rural areas.…”

Section: Introductionmentioning

confidence: 99%

Response of cross-correlations between high PM2.5 and O3 with increasing time scales to the COVID-19: different trends in BTH and PRD

Bao

Liu

et al. 2023

Environ Monit Assess

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The air pollution in China currently is characterized by high fine particulate matter (PM 2.5 ) and ozone (O 3 ) concentrations. Compared with single high pollution events, such double high pollution (DHP) events (both PM 2.5 and O 3 are above the National Ambient Air Quality Standards (NAAQS)) pose a greater threat to public health and environment. In 2020, the outbreak of COVID-19 provided a special time window to further understand the cross-correlation between PM 2.5 and O 3 . Based on this background, a novel detrended cross-correlation analysis (DCCA) based on maximum time series of variable time scales (VM-DCCA) method is established in this paper to compare the cross-correlation between high PM 2.5 and O 3 in Beijing-Tianjin-Heibei (BTH) and Pearl River Delta (PRD). At first, the results show that PM 2.5 decreased while O 3 increased in most cities due to the effect of COVID-19, and the increase in O 3 is more significant in PRD than in BTH. Secondly, through DCCA, the results show that the PM 2.5 -O 3 DCCA exponents α decrease by an average of 4.40% and 2.35% in BTH and PRD respectively during COVID-19 period compared with non-COVID-19 period. Further, through VM-DCCA, the results show that the PM 2.5 -O 3 VM-DCCA exponents in PRD weaken rapidly with the increase of time scales, with decline range of about 23.53% and 22.90% during the non-COVID-19 period and COVID-19 period respectively at 28-h time scale. BTH is completely different. Without significant tendency, its is always higher than that in PRD at different time scales. Finally, we explain the above results with the self-organized criticality (SOC) theory. The impact of meteorological conditions and atmospheric oxidation capacity (AOC) variation during the COVID-19 period on SOC state are further discussed. The results show that the characteristics of cross-correlation between high PM 2.5 and O 3 are the manifestation of the SOC theory of atmospheric system. Relevant conclusions are important for the establishment of regionally targeted PM 2.5 -O 3 DHP coordinated control strategies.

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Response of air quality to short-duration high-strength human tourism activities at a natural scenic spot: a case study in Zhangjiajie, China

Cited by 6 publications

References 48 publications

O potencial do método ρDCCA nas ciências da saúde: uma revisão integrativa com foco na Dengue

O potencial do método ρDCCA nas ciências da saúde: uma revisão integrativa com foco na Dengue

Epidemic history investigation: a new method of finding close contacts

Response of cross-correlations between high PM2.5 and O3 with increasing time scales to the COVID-19: different trends in BTH and PRD

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