scholarly journals Spatiotemporal analysis of distribution of pest and predator in corn crops

2021 ◽  
Vol 88 ◽  
Author(s):  
Marcello Neiva de Mello ◽  
Carlos Tadeu dos Santos Dias ◽  
Elias Silva de Medeiros ◽  
Ivan Carlos Fernandes Martins ◽  
Lourival Dias Campos
Keyword(s):  
Spatiotemporal Analysis

Novel Spatiotemporal Analysis for Exploring a-Cell Differentiation

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2128-P
Author(s):  
MIWA HIMURO ◽  
TAKESHI MIYATSUKA ◽  
LUKA SUZUKI ◽  
MASAKI MIURA ◽  
TAKEHIRO KATAHIRA ◽  
...  
Keyword(s):  
Cell Differentiation ◽  
Spatiotemporal Analysis ◽  
A Cell

Spatiotemporal Analysis of AIDS Incidence Among Adults in Brazil

2016 ◽  
Vol 14 (6) ◽  
pp. 466-475 ◽  
Author(s):  
Elisangela Aparecida da Silva Lizzi ◽  
Altacilio Aparecido Nunes ◽  
Edson Zangiacomi Martinez
Keyword(s):  
Spatiotemporal Analysis

scholarly journals Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wei Liu ◽  
Dongming Wang ◽  
Shuiqiong Hua ◽  
Cong Xie ◽  
Bin Wang ◽  
...  
Keyword(s):  
Population Density ◽  
Disease Surveillance ◽  
Influence Factors ◽  
Spatiotemporal Analysis ◽  
Disease Surveillance System ◽  
Local Aggregation ◽  
Short Time ◽  
Effective Public Health ◽  
Global And Local ◽  
Spatial Transmission

AbstractFew study has revealed spatial transmission characteristics of COVID-19 in Wuhan, China. We aimed to analyze the spatiotemporal spread of COVID-19 in Wuhan and its influence factors. Information of 32,682 COVID-19 cases reported through March 18 were extracted from the national infectious disease surveillance system. Geographic information system methods were applied to analysis transmission of COVID-19 and its influence factors in different periods. We found decrease in effective reproduction number (Rt) and COVID-19 related indicators through taking a series of effective public health measures including restricting traffic, centralized quarantine and strict stay-at home policy. The distribution of COVID-19 cases number in Wuhan showed obvious global aggregation and local aggregation. In addition, the analysis at streets-level suggested population density and the number of hospitals were associated with COVID-19 cases number. The epidemic situation showed obvious global and local spatial aggregations. High population density with larger number of hospitals may account for the aggregations. The epidemic in Wuhan was under control in a short time after strong quarantine measures and restrictions on movement of residents were implanted.

scholarly journals Spatiotemporal analysis of the runaway distribution function from synchrotron images in an ASDEX Upgrade disruption

2021 ◽  
Vol 87 (1) ◽  
Author(s):  
M. Hoppe ◽  
L. Hesslow ◽  
O. Embreus ◽  
L. Unnerfelt ◽  
G. Papp ◽  
...  
Keyword(s):  
Radial Profile ◽  
Spatiotemporal Analysis ◽  
High Energy ◽  
Synchrotron Emission ◽  
Analytic Model ◽  
Runaway Electrons ◽  
Radial Density ◽  
Radial Density Profile ◽  
Argon Injection ◽  
Seed Population

Synchrotron radiation images from runaway electrons (REs) in an ASDEX Upgrade discharge disrupted by argon injection are analysed using the synchrotron diagnostic tool Soft and coupled fluid-kinetic simulations. We show that the evolution of the runaway distribution is well described by an initial hot-tail seed population, which is accelerated to energies between 25–50 MeV during the current quench, together with an avalanche runaway tail which has an exponentially decreasing energy spectrum. We find that, although the avalanche component carries the vast majority of the current, it is the high-energy seed remnant that dominates synchrotron emission. With insights from the fluid-kinetic simulations, an analytic model for the evolution of the runaway seed component is developed and used to reconstruct the radial density profile of the RE beam. The analysis shows that the observed change of the synchrotron pattern from circular to crescent shape is caused by a rapid redistribution of the radial profile of the runaway density.

scholarly journals 1535. Impact of Defunding Family Planning Health Centers on Gonorrhea and Chlamydia Cases in Iowa: A Spatiotemporal Analysis

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S768-S768
Author(s):  
Megan L Srinivas ◽  
Eileen Yang ◽  
Weiming Tang ◽  
Joseph Tucker
Keyword(s):  
Family Planning ◽  
Low Income ◽  
Rural Areas ◽  
Spatiotemporal Analysis ◽  
Incidence Rates ◽  
Health Centers ◽  
Transmitted Infection ◽  
Missed Opportunities ◽  
Linear Regression Modeling ◽  
The Impact

Abstract Background Fifteen states have defunded family planning health centers (FPHCs), causing thousands to be left without health services. This has accelerated in the COVID-19 era. FPHCs provide low-income individuals in rural areas with essential primary care services, including sexually transmitted infection prevention, testing, and treatment. The purpose of this analysis is to use spatiotemporal methods to examine the impact of FPHC closures in Iowa on the reported number of gonorrhea and chlamydia cases at the county level. Methods This analysis investigates the association between FPHC closures and changes in the number of gonorrhea and chlamydia cases between 2016 and 2018. Iowa implemented defunding policies for family planning clinics, resulting in four FPHC closures in June 2017. 2016 pre-closure STI incidence rates were compared to 2018 post-closure rates. Gonorrhea and chlamydia rates in the four Iowa counties with clinic closures were compared to the 95 Iowa counties without closures. T tests were used to compare changes in reported gonorrhea and chlamydia rates in the two settings. Linear regression modeling was used to determine the relationship between clinic closures and changes in gonorrhea and chlamydia cases. Results The gonorrhea burden in Iowa increased from 83 cases per 100,000 people in 2016 to 153.8 cases per 100,000 people in 2018. The four counties with clinic closures experienced a significantly larger increase (absolute 217 cases per 100,000 population) in their gonorrhea rate compared to counties without FPHC closures (absolute 121 cases per 100,000 population). There was also a significant relationship between clinic closures and increasing gonorrhea rates (p = 0.0015). Over the three-year period, there was no change in chlamydia rates (p = 0.1182). However, there was a trend towards counties with more FPHC closures having a higher number of chlamydia cases (p = 0.057). Conclusion Despite the fact that many STI diagnoses are made and reported by FPHCs, our data suggest that clinic closures may have contributed to an increase in gonorrhea and chlamydia cases. This is consistent with delayed diagnoses and missed opportunities for providing essential STI services to vulnerable and under-served rural residents. Legislative action is urgently needed to curtail this trend. Disclosures All Authors: No reported disclosures

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