scholarly journals Untangle contributions of meteorology condition and human mobility to tropospheric NO2 in Chinese mainland during COVID-19 pandemic in early 2020

2021 ◽  
Author(s):  
Zhang Yuxiang ◽  
Bo Haixu ◽  
Jiang Zhe ◽  
Wang Yu ◽  
Fu Yunfei ◽  
...  
Keyword(s):  
Nitrogen Dioxide ◽  
Human Mobility ◽  
Chinese Mainland ◽  
Anthropogenic Emissions ◽  
Large Reduction ◽  
Location Based Service ◽  
Migration Index ◽  
Tropospheric No2 ◽  
Novel Coronavirus ◽  
The City

Abstract In early 2020, unprecedented lockdowns and travel bans were implemented in Chinese mainland to stop the spread of novel coronavirus (COVID-19), which have led to large reduction of anthropogenic emissions. This provided a unique opportunity to isolate the effects from emission and meteorology on tropospheric nitrogen dioxide (NO2). Comparing the atmospheric NO2 in 2020 to 2017, we found the changes of emission have led to a -49.3 ± 23.5% reduction, which was ∼12% more than satellite observed reduction of -37.8 ± 16.3%. The discrepancy was mainly due to the changes of meteorology which have contributed to an 8.1 ± 14.2% increase of NO2. We also revealed that the emission induced reduction of NO2 has significantly negative correlations to human mobility, particularly that inside the city. The intra-city migration index derived from Baidu Location-Based-Service can explain 40.4%±17.7% variance of the emission induced reduction of NO2 in 29 megacities which each has a population of over 8 million in Chinese mainland.

scholarly journals Quantifying the impacts of human mobility restriction on the spread of COVID-19: an empirical analysis from 344 cities of China

2020 ◽  
Author(s):  
Jing Tan ◽  
Yiquan Xiong ◽  
Shaoyang Zhao ◽  
Chunrong Liu ◽  
Shiyao Huang ◽  
...  
Keyword(s):  
Human Mobility ◽  
Large Population ◽  
Disease Spread ◽  
Population Mobility ◽  
Population Sizes ◽  
The Difference ◽  
Novel Coronavirus ◽  
The Impact ◽  
The City ◽  
Over Time

AbstractObjectiveSince the outbreak of novel coronavirus pneumonia (COVID-19), human mobility restriction measures have raised controversies, partly due to inconsistent findings. Empirical study is urgently needed to reliably assess the causal effects of mobility restriction.MethodsOur study applied the difference-in-difference (DID) model to assess declines of population mobility at the city level, and used the log-log regression model to examine the effects of population mobility declines on the disease spread measured by cumulative or new cases of COVID-19 over time, after adjusting for confounders.ResultsThe DID model showed that a continual expansion of the relative declines over time in 2020. After four weeks, population mobility declined by 54.81% (interquartile ranges, −65.50% to −43.56%). The accrued population mobility declines were associated with significant reduction of cumulative COVID-19 cases throughout six weeks (i.e., 1% decline of population mobility was associated with 0.72% (95%CI 0.50% to 0.93%) reduce of cumulative cases for one week, 1.42% two weeks, 1.69% three weeks, 1.72% four weeks,1.64% five weeks and 1.52% six weeks). The impact on weekly new cases seemed greater in the first four weeks, but faded thereafter. The effects on cumulative cases differed by cities of different population sizes, with greater effects seen in larger cities.ConclusionPersistent population mobility restrictions are well deserved. However, a change in the degree of mobility restriction may be warranted over time, particularly after several weeks of rigorous mobility restriction. Implementation of mobility restrictions in major cities with large population sizes may be even more important.

scholarly journals Changes in mobility and socioeconomic conditions during the COVID-19 outbreak

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Marco Dueñas ◽  
Mercedes Campi ◽  
Luis E. Olmos
Keyword(s):  
Low Income ◽  
Urban Areas ◽  
Human Mobility ◽  
Policy Implications ◽  
Socioeconomic Conditions ◽  
Middle Income ◽  
Middle Income Countries ◽  
Containment Measures ◽  
Novel Coronavirus ◽  
The City

AbstractSince the outbreak of the 2019 novel coronavirus (COVID-19) pandemic, governments have been implementing containment measures aimed at mitigating the spread of the virus, including restrictions to human mobility. The ability to adapt to the pandemic and respond to containment measures can be bound by socioeconomic conditions, which are heterogeneous in large urban areas of low-income and middle-income countries. In this paper, we analyse mobility changes following the implementation of containment measures in Bogotá, Colombia. We characterise the mobility network before and during the pandemic and analyse its evolution and changes between January and July 2020. We observe a general reduction in mobility trends, but the overall connectivity between different areas of the city remains after the lockdown, reflecting the resilience of the mobility network. Then, we estimate a gravity model to assess the effect of socioeconomic conditions on mobility flows. We find that the responses to lockdown policies depend on the socioeconomic conditions of the population. Before the pandemic, the population with better socioeconomic conditions shows higher mobility flows. Since the lockdown, mobility presents a general decrease, but the population with worse socioeconomic conditions shows lower reductions in mobility flows. We conclude by deriving policy implications.

scholarly journals Human Mobility Restrictions and the Spread of the Novel Coronavirus (2019-nCoV) in China

2020 ◽  
Author(s):  
Hanming Fang ◽  
Long Wang ◽  
Yang Yang
Keyword(s):  
Human Mobility ◽  
Hubei Province ◽  
The Novel ◽  
Chinese Cities ◽  
Social Distancing ◽  
Spring Festival ◽  
The Social ◽  
Novel Coronavirus ◽  
The Impact ◽  
The City

AbstractWe quantify the causal impact of human mobility restrictions, particularly the lockdown of the city of Wuhan on January 23, 2020, on the containment and delay of the spread of the Novel Coronavirus (2019-nCoV). We employ a set of difference-in-differences (DID) estimations to disentangle the lockdown effect on human mobility reductions from other confounding effects including panic effect, virus effect, and the Spring Festival effect. We find that the lockdown of Wuhan reduced inflow into Wuhan by 76.64%, outflows from Wuhan by 56.35%, and within-Wuhan movements by 54.15%. We also estimate the dynamic effects of up to 22 lagged population inflows from Wuhan and other Hubei cities, the epicenter of the 2019-nCoV outbreak, on the destination cities’ new infection cases. We find, using simulations with these estimates, that the lockdown of the city of Wuhan on January 23, 2020 contributed significantly to reducing the total infection cases outside of Wuhan, even with the social distancing measures later imposed by other cities. We find that the COVID-19 cases would be 64.81% higher in the 347 Chinese cities outside Hubei province, and 52.64% higher in the 16 non-Wuhan cities inside Hubei, in the counterfactual world in which the city of Wuhan were not locked down from January 23, 2020. We also find that there were substantial undocumented infection cases in the early days of the 2019-nCoV outbreak in Wuhan and other cities of Hubei province, but over time, the gap between the officially reported cases and our estimated “actual” cases narrows significantly. We also find evidence that enhanced social distancing policies in the 63 Chinese cities outside Hubei province are effective in reducing the impact of population inflows from the epi-center cities in Hubei province on the spread of 2019-nCoV virus in the destination cities elsewhere.JEL CodesI18, I10.

scholarly journals A new model for COVID-19 control and its implementation in the city of Honghu, China: a case report

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
He-ran Wang ◽  
Meng-chun Gong ◽  
Jing-Yuan Sun ◽  
Jian Sun ◽  
Yi Guo ◽  
...  
Keyword(s):  
Management Strategy ◽  
Human Infection ◽  
Public Health Emergency ◽  
Medical Resources ◽  
Case Presentation ◽  
Management Measures ◽  
Rapid Spread ◽  
Medical Teams ◽  
Novel Coronavirus ◽  
The City

Abstract Background Novel coronavirus pneumonia has been the most serious worldwide public health emergency since being identified in December 2019. The rapid spread of the pandemic and the strong human to human infection rate of COVID-19 poses a great prevention challenge. There has been an explosion in the number of confirmed cases in several cities near Wuhan, including the highest in Honghu, Jinzhou. Owing to the limited admission capacity and medical resources, increasing numbers of suspected cases of COVID-19 infection were difficult to confirm or treat. Case presentation Following the arrival of the Guangdong medical aid team on 11 February, 2020, COVID-19 care in Honghu saw changes after a series of solutions were implemented based on the ‘Four-Early’ and ‘Four-centralization’ management measures. The ‘Four-Early’ measures are: early detection, early reporting, early quarantine, and early treatment for meeting an urgent need like the COVID-19 pandemic. ‘Four-centralization’ refers to the way in which recruited medical teams can make full use of medical resources to give patients the best treatment. These solutions successfully increased the recovery rate and reduced mortality among patients with COVID-19 in Honghu. Conclusions This management strategy is called the ‘Honghu Model’ which can be generalized to enable the prevention and management of COVID-19 worldwide.

Preliminary studies of the effect of aerosols on nitrogen dioxide photolysis rates in the city of São Paulo, Brazil

2005 ◽  
Vol 75 (1-2) ◽  
pp. 135-148 ◽  
Author(s):  
Regina Maura de Miranda ◽  
Maria de Fátima Andrade ◽  
Artemio Plana Fattori
Keyword(s):  
Nitrogen Dioxide ◽  
Sao Paulo ◽  
São Paulo ◽  
Photolysis Rates ◽  
The City

scholarly journals Urban influence on the concentration and composition of submicron particulate matter in central Amazonia

2018 ◽  
Author(s):  
Suzane S. de Sá ◽  
Brett B. Palm ◽  
Pedro Campuzano-Jost ◽  
Douglas A. Day ◽  
Weiwei Hu ◽  
...  
Keyword(s):  
Time Series ◽  
Particulate Matter ◽  
Air Quality ◽  
Nitrogen Oxides ◽  
Mass Concentration ◽  
Critical Role ◽  
Metropolitan Region ◽  
Anthropogenic Emissions ◽  
Organic Mass ◽  
The City

Abstract. Fundamental to quantifying the influence of human activities on climate and air quality is an understanding of how anthropogenic emissions affect the concentrations and composition of airborne particulate matter (PM). The central Amazon basin, especially around the city of Manaus, Brazil, has experienced rapid changes in the past decades due to ongoing urbanization. Herein, changes in the concentration and composition of submicron PM due to pollution downwind of the Manaus metropolitan region are reported as part of the GoAmazon2014/5 experiment. A high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) and a suite of other gas- and particle-phase instruments were deployed at the T3 research site, 70 km downwind of Manaus, during the wet season. At this site, organic components represented on average 79 ± 7 % of the non-refractory PM1 mass concentration, which was in the same range as several upwind sites. The organic PM1 was, however, considerably more oxidized at T3 compared to upwind measurements. Positive-matrix factorization (PMF) was applied to the time series of organic mass spectra collected at the T3 site, yielding three factors representing secondary processes (73 ± 15 % of total organic mass concentration) and three factors representing primary anthropogenic emissions (27 ± 15 %). Fuzzy c-means clustering (FCM) was applied to the afternoon time series of concentrations of NOy, ozone, total particle number, black carbon, and sulfate. Four clusters were identified and characterized by distinct airmass origins and particle compositions. Two clusters, Bkgd-1 and Bkgd-2, were associated with background conditions. Bkgd-1 appeared to represent near-field atmospheric PM production and oxidation of a day or less. Bkgd-2 appeared to represent material transported and oxidized for two or more days, often with out-of-basin contributions. Two other clusters, Pol-1 and Pol-2, represented the Manaus influence, one apparently associated with the northern region of Manaus and the other with the southern region of the city. A composite of the PMF and FCM analyses provided insights into the anthropogenic effects on PM concentration and composition. The increase in mass concentration of submicron PM ranged from 25 % to 200 % under polluted compared to background conditions, including contributions from both primary and secondary PM. Furthermore, a comparison of PMF factor loadings for different clusters suggested a shift in the pathways of PM production under polluted conditions. Nitrogen oxides may have played a critical role in these shifts. Increased concentrations of nitrogen oxides can shift pathways of PM production from HO2-dominant to NO-dominant as well as increase the concentrations of oxidants in the atmosphere. Consequently, the oxidation of biogenic and anthropogenic precursor gases as well as the oxidative processing of pre-existing atmospheric PM can be accelerated. The combined set of results demonstrates the susceptibility of atmospheric chemistry, air quality, and associated climate forcing to anthropogenic perturbations over tropical forests.

scholarly journals Mobility-Guided Modeling of the COVID-19 Pandemic in Metro Manila

2020 ◽  
Author(s):  
Bernhard Egwolf ◽  
O.P. Nicanor Austriaco
Keyword(s):  
The Philippines ◽  
The Novel ◽  
National Capital Region ◽  
Viral Spread ◽  
Mobility Data ◽  
National Capital ◽  
Metro Manila ◽  
The Government ◽  
Novel Coronavirus ◽  
The City

ABSTRACTCOVID-19 is a novel respiratory disease first identified in Wuhan, China, that is caused by the novel coronavirus, SARS-CoV-2. To better understand the dynamics of the COVID-19 pandemic in the Philippines, we have used real-time mobility data to modify the DELPHI Epidemiological Model recently developed at M.I.T., and to simulate the pandemic in Metro Manila. We have chosen to focus on the National Capital Region, not only because it is the nation’s demographic heart where over a tenth of the country’s population live, but also because it has been the epidemiological epicenter of the Philippine pandemic. Our UST CoV-2 model suggests that the government-imposed enhanced community quarantine (ECQ) has successfully limited the spread of the pandemic. It is clear that the initial wave of the pandemic is flattening, though suppression of viral spread has been delayed by the local pandemics in the City of Manila and Quezon City. Our data also reveals that replacing the ECQ with a General Community Quarantine (GCQ) will increase the forecasted number of deaths in the nation’s capital unless rigorous tracing and testing can be implemented to prevent a second wave of the pandemic.

scholarly journals Kegiatan Pemantauan Kasus Covid 19

2022 ◽  
Vol 1 (1) ◽  
pp. 207-213
Author(s):  
Indra Karana
Keyword(s):  
Community Service ◽  
Public Transportation ◽  
Family Members ◽  
Care Facility ◽  
Health Care Facility ◽  
Shortness Of Breath ◽  
Running Water ◽  
Novel Coronavirus ◽  
The City ◽  
At Home

ABSTRAKCOVID-19 adalah penyakit yang disebabkan Novel Coronavirus 2019. Gejalanya bergejala mirip dengan flu biasa, namun COVID-19 sampai saat ini memiliki fatalitas lebih tinggi dan virus ini juga menyebar dengan sangat cepat karena bisa pindah dari orang ke orang bahkan sebelum orang tersebut menunjukkan gejala. Cara isolasi mandiri dirumah yaitu selalu memakai masker dan membuang masker bekas ditempat yang ditentukan,  jika sakit (ada gejala demam, flu dan batuk) maka tetap di rumah. Jangan pergi bekerja, sekolah, ke pasar atau ke ruang publik untuk mencegah penularan masyarakat, manfaatkan fasilitas telemedicine atau sosial media kesehatan dan hindari transportasi publik. Beritahu dokter dan perawat tentang keluhan dan gejala, serta riwayat bekerja ke daerah terjangkit atau kontak dengan pasien COVID-19, selama dirumah, bisa bekerja di rumah. Gunakan kamar terpisah dari anggota keluarga lainya, dan jaga jarak 1 meter dari anggota keluarga, tentukan pengecekan suhu harian, amati batuk dan sesak nafas. Hindari pemakaian bersama peralatan makan dan mandi dan tempat tidur, terapkan perilaku hidup sehat dan bersih, serta konsumsi makanan bergizi, mencuci tangan dengan sabun dan air mengalir dan lakukan etika batuk dan bersin, jaga kebersihan dan kesehatan rumah dengan cairan desinfektan. Selalu berada di ruang terbuka dan berjemur di bawah sinar matahari setiap pagi (±15-30 menit), Hubungi segera fasilitas pelayanan kesehatan jika sakit berlanjut seperti sesak nafas dan demam tinggi, untuk mendapatkan perawatan lebih lanjut. Tujuan pengabdian masyarakat ini adalah untuk melakukan pemantauan kasus covid 19 di Kota Bandung. Kegiatan pengabdian masyarakat ini memberikan pelayanan dengan melakukan pemantauan agar mengetahui keadaan, kondisi dan perkembangan yang dialami oleh warga yang terpapar covid 19 di Kota Bandung. Hasil pengabdian masyarakat diperoleh seluruh warga yang terpapar covid 19 sudah dalam keadaan sehat dan pulih seperti sedia kala. Kata Kunci: Pemantauan kasus covid 19. ABSTRACT COVID-19 is a disease caused by the 2019 Novel Coronavirus. The symptoms are similar to the common cold, but COVID-19 has so far had a higher fatality and this virus also spreads very quickly because it can move from person to person even before the person shows symptoms. . The way to self-isolate at home is to always wear a mask and throw away used masks in the designated place, if you are sick (symptoms of fever, flu and cough) then stay at home. Do not go to work, school, to the market or to public spaces to prevent community transmission, take advantage of telemedicine facilities or health social media and avoid public transportation. Tell doctors and nurses about complaints and symptoms, as well as a history of working in infected areas or in contact with COVID-19 patients, while at home, you can work at home. Use a separate room from other family members, and keep a distance of 1 meter from family members, determine daily temperature checks, observe coughs and shortness of breath. Avoid sharing eating and bathing utensils and bedding, apply healthy and clean living habits, and consume nutritious food, wash hands with soap and running water and practice coughing and sneezing etiquette, keep your home clean and healthy with disinfectant liquid. Always be in an open space and bask in the sun every morning (±15-30 minutes), Contact the health care facility immediately if the illness persists such as shortness of breath and high fever, to get further treatment. The purpose of this community service is to monitor COVID-19 cases in the city of Bandung. This community service activity provides services by monitoring to find out the conditions, conditions, and developments experienced by residents exposed to COVID-19 in the city of Bandung. The results of community service were obtained that all residents who were exposed to COVID-19 were in good health and recovered as usual. Keywords: Monitoring cases of covid 19.

scholarly journals Sistem Informasi Geografis Rumah Makan Padang Di Kota Bogor Berbasis MobileGis

INOVA-TIF ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 32
Author(s):  
Fahmi Alamsyah
Keyword(s):  
Software Design ◽  
High Mobility ◽  
Adaptive Model ◽  
Location Based Service ◽  
Model Method ◽  
Activity Phase ◽  
Design Build ◽  
West Sumatra ◽  
Requirement Specifications ◽  
The City

<pre>Padang Restaurant (RM) or Warung Padang or Padang Restaurant is a food stall / restaurant / restaurant business that sells or serves a variety of Minangkabau culinary or cuisine originating from West Sumatra. With high mobility and technological advancements in this era will encourage people to want easy things in realizing their needs, one is looking for a Padang-eating house. Therefore, this research was built to create a Mobilegis-based Padang restaurant application using the location based service method and formula haversine formula that aims to facilitate Android smartphone users in finding and choosing the nearest Padang restaurant from the user's position and according to their choice. The system design used is the adaptive model method which includes the process activity phase which consists of scope, design, build, test and check presented in separate stages such as requirement specifications, software design, implementation, testing, etc. In the application the user is facilitated with there is a route feature that will guide to the Padang restaurant that has been previously selected. Conclusion What was obtained from this study was the result of the distribution of the Padang restaurant in the city of Bogor, the results of the analysis for calculating the distance of the nearest Padang restaurant using haversine. The results of the implementation of the distribution of Padang restaurants in the city of Bogor based on mobilegis.</pre>

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