scholarly journals Spatiotemporal transmission dynamics of co-circulating dengue, Zika, and chikungunya viruses in Fortaleza, Brazil: 2011–2017

2020 ◽  
Vol 14 (10) ◽  
pp. e0008760
Author(s):  
Lilit Kazazian ◽  
Antonio S. Lima Neto ◽  
Geziel S. Sousa ◽  
Osmar José do Nascimento ◽  
Marcia C. Castro
Keyword(s):  
Spatial Clustering ◽  
Scan Statistics ◽  
Transmission Dynamics ◽  
Competitive Interactions ◽  
Time Intervals ◽  
Spatial And Temporal Scales ◽  
The City ◽  
Spatiotemporal Transmission ◽  
Neighborhood Level ◽  
Time Scan

The mosquito-borne viruses dengue (DENV), Zika (ZIKV), and chikungunya (CHIKV), now co-endemic in the Americas, pose growing threats to health worldwide. However, it remains unclear whether there exist interactions between these viruses that could shape their epidemiology. This study advances knowledge by assessing the transmission dynamics of co-circulating DENV, ZIKV, and CHIKV in the city of Fortaleza, Brazil. Spatiotemporal transmission dynamics of DENV, ZIKV, and CHIKV were analyzed using georeferenced data on over 210,000 reported cases from 2011 to 2017 in Fortaleza, Brazil. Local spatial clustering tests and space-time scan statistics were used to compare transmission dynamics across all years. The transmission of co-circulating viruses in 2016 and 2017 was evaluated at fine spatial and temporal scales using a measure of spatiotemporal dependence, the τ-statistic. Results revealed differences in the diffusion of CHIKV compared to previous DENV epidemics and spatially distinct transmission of DENV/ZIKV and CHIKV during the period of their co-circulation. Significant spatial clustering of viruses of the same type was observed within 14-day time intervals at distances of up to 6.8 km (p<0.05). These results suggest that arbovirus risk is not uniformly distributed within cities during co-circulation. Findings may guide outbreak preparedness and response efforts by highlighting the clustered nature of transmission of co-circulating arboviruses at the neighborhood level. The potential for competitive interactions between the arboviruses should be further investigated.

scholarly journals Analysis of Spatiotemporal Characteristics of Pandemic SARS Spread in Mainland China

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Chunxiang Cao ◽  
Wei Chen ◽  
Sheng Zheng ◽  
Jian Zhao ◽  
Jinfeng Wang ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Mainland China ◽  
Emerging Infectious Diseases ◽  
Epidemiological Data ◽  
Transmission Dynamics ◽  
Bayesian Maximum Entropy ◽  
Covariance Model ◽  
Spatial And Temporal Scales ◽  
Epidemiological Characteristics ◽  
Spatiotemporal Transmission

Severe acute respiratory syndrome (SARS) is one of the most severe emerging infectious diseases of the 21st century so far. SARS caused a pandemic that spread throughout mainland China for 7 months, infecting 5318 persons in 194 administrative regions. Using detailed mainland China epidemiological data, we study spatiotemporal aspects of this person-to-person contagious disease and simulate its spatiotemporal transmission dynamics via the Bayesian Maximum Entropy (BME) method. The BME reveals that SARS outbreaks show autocorrelation within certain spatial and temporal distances. We use BME to fit a theoretical covariance model that has a sine hole spatial component and exponential temporal component and obtain the weights of geographical and temporal autocorrelation factors. Using the covariance model, SARS dynamics were estimated and simulated under the most probable conditions. Our study suggests that SARS transmission varies in its epidemiological characteristics and SARS outbreak distributions exhibit palpable clusters on both spatial and temporal scales. In addition, the BME modelling demonstrates that SARS transmission features are affected by spatial heterogeneity, so we analyze potential causes. This may benefit epidemiological control of pandemic infectious diseases.

scholarly journals Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Pandji Wibawa Dhewantara ◽  
Andri Ruliansyah ◽  
M. Ezza Azmi Fuadiyah ◽  
Endang Puji Astuti ◽  
Mutiara Widawati
Keyword(s):  
Population Data ◽  
Northern Region ◽  
Space Time ◽  
Scan Statistics ◽  
Distribution Model ◽  
Monthly Data ◽  
Risk Areas ◽  
Surrounding Areas ◽  
The City ◽  
Time Scan

Four dengue serotypes threatened more than 200 million people and has spread to over 400 districts in Indonesia. Furthermore, 26 districts in most densely populated province, West Java, have been declared as hyperendemic areas. Cimahi is an endemic city with the highest population (14,969 people per square kilometer). Evidence on distribution pattern of dengue cases is required to discover the spread of dengue cases in Cimahi. A study has been conducted to detect clusters of dengue incidence during 2007-2013. A temporal spatial analysis was performed using SaTScan™ software incorporated confirmed dengue monthly data from the Municipality Health Office and population data from a local Bureau of Statistics. A retrospective space-time analysis with a Poisson distribution model and monthly precision was performed. Our results revealed a significant most likely cluster (p&lt;0.001) throughout period of study. The most likely cluster was detected in the centre of the city and moved to the northern region of Cimahi. Cimahi, Karangmekar, and Cibabat village were most likely cluster in 2007-2010 (p &lt;0.001; RR = 2.16-2.98; pop at risk 12% total population); Citeureup were detected as the most likely cluster in 2011-2013 (p &lt;0.001; RR 5.77), respectively. Temporaly, clusters were detected in the first quarter of each year each. In conclusion, a dynamic spread of dengue initiated from the centre to its surrounding areas during the period 2007-2013. Our study suggests the use of GIS to strengthen case detection and surveillance. An in-depth investigation to relevant risk factors in high-risk areas in Cimahi city is encouraged.

scholarly journals Revealing spatiotemporal transmission patterns and stages of COVID-19 in China using individual patients’ trajectory data

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Tao Cheng ◽  
Tianhua Lu ◽  
Yunzhe Liu ◽  
Xiaowei Gao ◽  
Xianghui Zhang
Keyword(s):  
General Public ◽  
Policy Making ◽  
Human Mobility ◽  
Policy Implications ◽  
Evidence Based ◽  
Strong Positive Correlation ◽  
Trajectory Data ◽  
Spatial And Temporal Scales ◽  
The City ◽  
Spatiotemporal Transmission

AbstractGauging viral transmission through human mobility in order to contain the COVID-19 pandemic has been a hot topic in academic studies and evidence-based policy-making. Although it is widely accepted that there is a strong positive correlation between the transmission of the coronavirus and the mobility of the general public, there are limitations to existing studies on this topic. For example, using digital proxies of mobile devices/apps may only partially reflect the movement of individuals; using the mobility of the general public and not COVID-19 patients in particular, or only using places where patients were diagnosed to study the spread of the virus may not be accurate; existing studies have focused on either the regional or national spread of COVID-19, and not the spread at the city level; and there are no systematic approaches for understanding the stages of transmission to facilitate the policy-making to contain the spread.To address these issues, we have developed a new methodological framework for COVID-19 transmission analysis based upon individual patients’ trajectory data. By using innovative space–time analytics, this framework reveals the spatiotemporal patterns of patients’ mobility and the transmission stages of COVID-19 from Wuhan to the rest of China at finer spatial and temporal scales. It can improve our understanding of the interaction of mobility and transmission, identifying the risk of spreading in small and medium-sized cities that have been neglected in existing studies. This demonstrates the effectiveness of the proposed framework and its policy implications to contain the COVID-19 pandemic.

scholarly journals Will Peri-Urban Cydia pomonella (Lepidoptera: Tortricidae) Challenge Local Eradication?

Insects ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 207 ◽  
Author(s):  
Rachael Horner ◽  
Georgia Paterson ◽  
James T.S. Walker ◽  
George L.W. Perry ◽  
Rodelyn Jaksons ◽  
...  
Keyword(s):  
New Zealand ◽  
Spatial Interpolation ◽  
Spatial Clustering ◽  
Cydia Pomonella ◽  
Codling Moth ◽  
Catch Rate ◽  
Trap Catch ◽  
Urban Populations ◽  
Host Trees ◽  
The City

Codling moth, Cydia pomonella (Lepidoptera: Tortricidae), is a phytosanitary pest of New Zealand’s export apples. The sterile insect technique supplements other controls in an eradication attempt at an isolated group of orchards in Hawke’s Bay, New Zealand. There has been no attempt in New Zealand to characterize potential sources of uncontrolled peri-urban populations, which we predicted to be larger than in managed orchards. We installed 200 pheromone traps across Hastings city, which averaged 0.32 moths/trap/week. We also mapped host trees around the pilot eradication orchards and installed 28 traps in rural Ongaonga, which averaged 0.59 moths/trap/week. In Hastings, traps in host trees caught significantly more males than traps in non-host trees, and spatial interpolation showed evidence of spatial clustering. Traps in orchards operating the most stringent codling moth management averaged half the catch rate of Hastings peri-urban traps. Orchards with less rigorous moth control had a 5-fold higher trap catch rate. We conclude that peri-urban populations are significant and ubiquitous, and that special measures to reduce pest prevalence are needed to achieve area-wide suppression and reduce the risk of immigration into export orchards. Because the location of all host trees in Hastings is not known, it could be more cost-effectively assumed that hosts are ubiquitous across the city and the area treated accordingly.

ID: 89: RESIDENTIAL SEGREGATION AND SPATIAL CLUSTERING OF COLONOSCOPY RESOURCES WITHIN THE CITY OF CHICAGO

2016 ◽  
Vol 64 (4) ◽  
pp. 936.2-937 ◽  
Author(s):  
K Naylor ◽  
O Kassim ◽  
K Kim
Keyword(s):  
Spatial Clustering ◽  
Census Bureau ◽  
Geospatial Analysis ◽  
Unequal Distribution ◽  
South Side ◽  
White Race ◽  
Census Tracts ◽  
Population Demographic ◽  
The City ◽  
Hispanic White

BackgroundIn Illinois for the year 2015, colorectal cancer (CRC) is projected to cause 2,090 deaths, making it the leading cause of non-tobacco related cancer mortality. African American or black Illinois residents have an approximately 7% greater incidence and a 30% higher mortality rate when compared to white residents. Guideline consistent CRC screening is known to increase early diagnosis and reduce cancer related death. Colonoscopy is the most commonly performed screening modality and diagnostic colonoscopy is required for follow up of abnormal non-invasive screening tests.The City of Chicago is home to 2.7 million residents, of whom 31% are non-Hispanic white and 37% are non-Hispanic black. Chicago is known to have significant residential racial segregation with 69% of the total non-Hispanic black population living within communities located south of Roosevelt Avenue, on Chicago's south side. Relatively homogenous minority communities, such as Chicago's south side, are prone to the development of healthcare inequities that may result in the development of healthcare disparities.ObjectiveThe objective of this study was to use geographic information systems and geospatial analysis to investigate the spatial distribution of healthcare facilities that perform colonoscopy within the City of Chicago.MethodsPopulation demographic data by census block was obtained from the U.S. Census Bureau, 2009–2013 American Community Survey 5-Year Estimates. The locations of facilities performing colonoscopy procedures were identified through internet search; review of Illinois Department of Public Health hospital listings; and ambulatory surgery center (ASC) accreditation listings. Each facility was contacted by phone to confirm performance of on-site colonoscopy and to obtain the number of on-site endoscopy procedure rooms. The addresses of facilities were geocoded using GPS Visualizer. City of Chicago census tract boundaries were mapped using U.S. Census Bureau Tiger Line shapefiles. Maps were created and geospatial analysis was performed using Esri ArcMap version 10.2.ResultsWithin the City of Chicago, a total of 41 facilities were identified that perform on-site colonoscopy. Of the 41 facilities, 26 were hospital-based and 15 were ASC-based. 10 of 26 (38%) Hospital-based colonoscopy sites and 3 of 15 (20%) ASC-based colonoscopy sites were located on Chicago's south side. There were a total of 134 endoscopy procedure rooms reported across the 41 facilities. 30 of the 134 (22%) endoscopy procedure rooms were located on Chicago's south side. Spatial overlap was observed between areas with clustering of endoscopy procedure rooms and census tracts with greater than 80% non-Hispanic white race.ConclusionsThere is an unequal distribution of colonoscopy facilities and endoscopy procedure rooms across the City of Chicago with geographic clustering of colonoscopy infrastructure observed on Chicago's north side within census tracts comprised of greater than 80% non-Hispanic white race. Census tracts containing high proportions of non-Hispanic black race were clustered on Chicago's south side within areas with a relative paucity of colonoscopy infrastructure. The spatial clustering of colonoscopy procedure rooms represents a healthcare resource inequity that may contribute to the persistence of disparities in CRC related mortality among non-Hispanic black communities in Chicago.

Reconceptualizing the Public Spaces of New Urban Areas in Hanoi: The End or the New of Public-Making?

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Minh-Tung Tran ◽  
◽  
Tien-Hau Phan ◽  
Ngoc-Huyen Chu ◽  
◽  
...  
Keyword(s):  
Public Space ◽  
Urban Areas ◽  
Public Spaces ◽  
The Public ◽  
Doi Moi ◽  
The World ◽  
Relationship Of ◽  
The Relationship ◽  
The City ◽  
Neighborhood Level

Public spaces are designed and managed in many different ways. In Hanoi, after the Doi moi policy in 1986, the transfer of the public spaces creation at the neighborhood-level to the private sector has prospered na-ture of public and added a large amount of public space for the city, directly impacting on citizen's daily life, creating a new trend, new concept of public spaces. This article looks forward to understanding the public spaces-making and operating in KDTMs (Khu Do Thi Moi - new urban areas) in Hanoi to answer the question of whether ‘socialization’/privatization of these public spaces will put an end to the urban public or the new means of public-making trend. Based on the comparison and literature review of studies in the world on public spaces privatization with domestic studies to see the differences in the Vietnamese context leading to differences in definitions and roles and the concept of public spaces in KDTMs of Hanoi. Through adducing and analyzing practical cases, the article also mentions the trends, the issues, the ways and the technologies of public-making and public-spaces-making in KDTMs of Hanoi. Win/loss and the relationship of the three most important influential actors in this process (municipality, KDTM owners, inhabitants/citizens) is also considered to reconceptualize the public spaces of KDTMs in Hanoi.

ENTREPRENEURIAL ACTIVITIES MODELING IN THE HOSPITALITY INDUSTRY BASED ON THE USE OF LAND CADASTRAL VALUATION INDICATORS

2017 ◽  
Author(s):  
Raisa Kozhukhіvska ◽  
◽  
Оlena Sakovska ◽  
Keyword(s):  
Financial Support ◽  
Hospitality Industry ◽  
The State ◽  
Practical Significance ◽  
Time Intervals ◽  
Main Disadvantage ◽  
Entrepreneurial Activities ◽  
The City ◽  
Cluster Level

The article examines the organizational basis of modeling entrepreneurial activities in the hospitality industry based on the use of indicators of cadastral assessment of land. The analysis of practical aspects of updating the results of cadastral assessment of lands of settlements of Cherkassy region has been carried out. It is stated that the cadastral assessment should take into account market situations and trends as much as possible. For the territories of localities the term of actualization in the context of revaluation should be minimum and economically justified. It is designated that the updating of the results of the state cadastral assessment of land requires significant modernization aimed at improving the quality of land assessment work and adequate replenishment of budgets at all levels. The mechanism and features of performance of works on actualization of the state cadastral estimation of the lands of settlements in the territory of Cherkassy region have been analyzed. As a result of the study, it has been found that the main disadvantage of modeling the cadastral assessment of land settlements is: the duration of time intervals between rounds of revaluation, which causes rapid aging of information. The reason for this case is related with the financial support of the works and their scale. Mechanisms for prompt updating of information on the value of land for entrepreneurial activities in the hospitality industry in Cherkassy region have been proposed. The considered method of determining the normative monetary valuation of land takes into account the most important indicators of this industry and is practically significant in collecting information and calculating all indicators in conducting cadastral valuation of land for entrepreneurial activities in the hospitality industry of Cherkassy region. The practical significance of the study is to assess the cadastral condition of land and calculate the specific cadastral value of the city of Uman, as the territory where the hospitality industry is the most developed in Cherkassy region. Due to the clarification of the specific indicator of cadastral value, the price of one square meter of such objects will increase which will allow to proportionally increase the tax component and increase the profitability of budgets at the cluster level

scholarly journals Identifying Stress Landscapes in Boston Neighborhoods

2018 ◽  
Vol 7 ◽  
pp. 216495611880305 ◽  
Author(s):  
F. Garrett Conyersm ◽  
Helene M Langevin ◽  
Gary J Badger ◽  
Darshan H Mehta
Keyword(s):  
Health Problems ◽  
Aggressive Driving ◽  
Negative Behaviors ◽  
Unequal Treatment ◽  
Policy Interventions ◽  
Medical Centers ◽  
Academic Medical ◽  
The Relationship ◽  
The City ◽  
Neighborhood Level

Background Chronic stress plays a role in the development of health disparities. However, the relationship between neighborhood stressors and stress-related health problems and behaviors is unknown. In the city of Boston, Massachusetts, 3 neighborhoods, while within a 3 mile radius, have widely divergent life expectancies. This work aims to investigate and compare perceived neighborhood-level stressors, stress-related negative behaviors, and stress-related health problems in these neighborhoods. Methods Three hundred twenty-six participants were surveyed from the neighborhoods. Participants were asked to rate (1) 27 neighborhood stressors, (2) 16 stress-related negative behaviors, and (3) 13 stress-related health problems using a 1 to 5 Likert-type scale. Differences in responses between neighborhoods were analyzed using Kruskal–Wallis and χ2 tests. Results The highest neighborhood stressors overall were related to finance, unequal treatment, and unsafe bike/pedestrian access. The highest stress-related health problems were related to substance abuse and obesity, and the largest stress-related behaviors were related to poor diet, intolerance, and aggressive driving. There were significant differences across neighborhoods ( P < .05) for 18 of the 27 neighborhood stressors, 8 of the 10 stress-related health problems, and 12 of the 15 stress-related behaviors. Conclusions There is marked contrast in stress landscapes between the 3 neighborhoods in Boston despite their geographical proximity. This finding potentially serves as an explanation for the drastic differences in health outcomes, even though these neighborhoods are equidistant from academic medical centers. Strategies for improving the health of individuals should incorporate the unique stressors at the neighborhood level. Further research is needed to investigate how specifically neighborhood stressors influence the health of residents, thereby informing what policy interventions might be useful.

Do Housing Vacancies Induce More Crime? A Spatiotemporal Regression Analysis

2019 ◽  
Vol 66 (11) ◽  
pp. 1579-1605 ◽  
Author(s):  
Xiaojin Chen ◽  
Patrick Rafail
Keyword(s):  
Regression Analysis ◽  
Collective Efficacy ◽  
Large Scale ◽  
Spillover Effect ◽  
Property Crime ◽  
Drug Offense ◽  
Community Based Programs ◽  
The City ◽  
Housing Vacancy ◽  
Neighborhood Level

This study aims to investigate the longitudinal associations between patterns of housing vacancies, neighborhood social disorder, and crime in the city of New Orleans. Using large-scale administrative and contextual data collected from the year 2012 to 2018, our spatiotemporal regression analysis provides empirical evidence for the salient effects of housing vacancy on neighborhood level of property crime and violence. In addition, the spillover effect of housing vacancy is observed on the neighborhood level of drug offense, property crime, and violence. These results potentially identify vacant properties as a modifiable target for intervention to reduce urban crime and suggest that community-based programs aiming to enhance informal social control and collective efficacy may be as important as broken window policing programs.

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