scholarly journals A spatio-temporal analysis of dengue spread in a Brazilian dry climate region

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Aloísio S. Nascimento Filho ◽  
Thiago B. Murari ◽  
Paulo Ferreira ◽  
Hugo Saba ◽  
Marcelo A. Moret
Keyword(s):  
Statistical Analysis ◽  
Time Scale ◽  
Cross Correlation ◽  
Spatial Arrangement ◽  
Temporal Analysis ◽  
Climatic Conditions ◽  
Metropolitan Region ◽  
Climate Region ◽  
Spatio Temporal ◽  
Economic Regions

AbstractWe investigated the relation between the spread, time scale, and spatial arrangement of dengue in Bahia, a Brazilian dry climate region, for the period 2000 to 2009. The degree of cross-correlation is calculated for 15 economic regions. We propose a multiscale statistical analysis to datasets of dengue cases in order to verify the effect of infection dispersal on the economic regions from the metropolitan region of Salvador. Our empirical results support a significant and persistent cross-correlation between most regions, reinforcing the idea that economic regions or climatic conditions are non-statistically significant in the spread of dengue in the State of Bahia. Our main contribution lies in the cross-correlation results revealing multiple aspects related to the propagation of dengue in dry climate regions.

scholarly journals A Spatio-Temporal Analysis of Dengue Spread in a Brazilian Dry Climate Region

2020 ◽  
Author(s):  
Aloísio Nascimento Filho ◽  
Thiago Murari ◽  
Paulo Ferreira ◽  
Hugo Saba ◽  
Marcelo Moret
Keyword(s):  
Statistical Analysis ◽  
Time Scale ◽  
Cross Correlation ◽  
Spatial Arrangement ◽  
Temporal Analysis ◽  
Metropolitan Region ◽  
Empirical Results ◽  
Climate Region ◽  
Spatio Temporal ◽  
Economic Regions

Abstract We investigated the relation between the spread, time scale, and spatial arrangement of dengue in Bahia, a Brazilian dry climate region, for the period 2000 to 2009. The degree of cross-correlation is calculated for 15 economic regions. We apply a multiscale statistical analysis to datasets of dengue cases in order to verify the effect of infection dispersal on the economic regions from the metropolitan region of Salvador. Our empirical results support a significant and persistent cross-correlation between most economic regions, reinforcing the idea that there are no economic, environmental or climatic barriers to the spread of dengue. Our main contribution lies in the cross-correlation results revealing multiple aspects related to the propagation of dengue for dry climate regions.

scholarly journals Effects of Climate Change and Heterogeneity of Local Climates оn the Development of Malaria Parasite (Plasmodium vivax) in Moscow Megacity Region

2019 ◽  
Vol 16 (5) ◽  
pp. 694 ◽  
Author(s):  
Varvara Mironova ◽  
Natalia Shartova ◽  
Andrei Beljaev ◽  
Mikhail Varentsov ◽  
Mikhail Grishchenko
Keyword(s):  
Rural Areas ◽  
Vivax Malaria ◽  
Temporal Analysis ◽  
Climatic Conditions ◽  
Integral Index ◽  
Mean Values ◽  
Sum Of Effective Temperatures ◽  
Spatio Temporal ◽  
Temperature Records ◽  
Historical Temperature

The article presents the results of a spatio-temporal analysis of the changes of the favorability of climatic conditions for the transmission of vivax malaria in the Moscow megacity and its surroundings during the period from 1977 to 2016. Using the historical temperature records at urban and rural weather stations, we calculated the key indicators of climate favorability for malaria transmission, viz. the sum of effective temperatures, the duration of the season of effective infectiveness, and a new integral index of climate favorability. We demonstrated a dramatic increase of all three indicators, which accelerated after 1984, and a high spatial heterogeneity among them. Due to the urban heat island effect, the degree of climatic favorability is especially high in the densely urbanized areas of Moscow megacity compared with the suburban and rural areas. Climatic conditions for vivax malaria in Moscow are better now than before. The season of effective infectiveness continues in the central part of the city for 25 days longer, and the integral index of climate favorability is 85% higher in comparison to mean values over the rural surroundings. The study contains an alert regarding the risk of malaria resurgence in the Moscow region in the case of the sufficient importation of cases from abroad.

scholarly journals Nepal, a multi-hazard risk country: Spatio-temporal analysis

2019 ◽  
Vol 58 ◽  
pp. 145-152
Author(s):  
Ganesh Kumar Jimee ◽  
Kimiro Meguro ◽  
Amod Mani Dixit
Keyword(s):  
Temporal Analysis ◽  
Significant Loss ◽  
Climatic Conditions ◽  
Decision Makers ◽  
Economic Conditions ◽  
Tectonic Processes ◽  
Active Tectonic ◽  
Spatio Temporal ◽  
The Impact ◽  
Complex Geology

Nepal, though covers small area of the earth, exposes complex geology with active tectonic processes, high peaks, sloppy terrain and climatic variation. Combination of such geo-physical and climatic conditions with existing poor socio-economic conditions, unplanned settlements, rapidly increasing population and low level of awareness has put the country in highest risk to multi-hazard events. Fires, floods, landslides and epidemics are the most frequent hazard events, which have cumulatively caused a significant loss of lives and property every year. However, due to diversity in physiographic, climatic and socio-economic conditions within the country, the type, frequency and degree of the impact of such events differs in different places. During the period of 46 years (1971-2016), an average of 2 events have been occurred causing 3 deaths/missing every day. Disaster events occurred most frequently during the months of April, July and August, while relatively lesser number of events have been reported during January, November and December. However, earthquakes have been reported in different months, regardless with the season. This paper is an effort to analyse the spatial distribution and temporal variation of disaster events in Nepal. Further it has drawn a trend of disasters occurrence in Nepal, which will help the decision makers and other stakeholders for formulating Disaster Risk Management (DRM) plan and policies on one hand and heighten citizens’ awareness of against disasters on the other.

scholarly journals Dynamics and spatio-temporal distribution of geomagnetic disturbances during periods of increased solar activity and magnetic storms

2020 ◽  
Vol 196 ◽  
pp. 02009
Author(s):  
Oksana Mandrikova ◽  
Anastasia Rodomanskay
Keyword(s):  
Cross Correlation ◽  
Temporal Distribution ◽  
Temporal Analysis ◽  
Auroral Zone ◽  
Magnetic Storms ◽  
Magnetic Data ◽  
Geomagnetic Disturbances ◽  
Short Period ◽  
Adaptive Thresholds ◽  
Spatio Temporal

A detailed spatio-temporal analysis of magnetic data was performed during the periods of magnetic storms on October 02, 2013 and September 27, 2019 based on measurements of the station network. In this work, we used a method developed by us for the analysis of magnetic data, based on the use of wavelet transform and adaptive thresholds. The method allows us to identify short-period field disturbances and estimate their intensity from the data of the H-component of the geomagnetic field. The features of the occurrence and propagation of geomagnetic disturbances in the auroral zone and at meridionally located stations have been studied. Dynamic spectra of disturbances of different intensity and duration are obtained. The paper confirms the possibility of occurrence of short-period weak geomagnetic disturbances at stations from high latitudes to the equator, preceding magnetic storms and correlating with fluctuations of the southern Bz-component of the interplanetary magnetic field and increases in the auroral indices of geomagnetic activity. Cross-correlation dependences of the intensity of geomagnetic disturbances on the parameters of the interplanetary medium during magnetic storms were obtained from the data of the network of magnetic stations. A statistically significant influence of the magnitude of the scope of the Bz-component of the IMF and the speed of the solar wind on the development of magnetic storms during the initial and main phases of magnetic storms was revealed.

scholarly journals Spatio-temporal analysis between the incidence of COVID-19 and human development in Mato Grosso do Sul, Brazil

2021 ◽  
Author(s):  
Amaury de Souza ◽  
Marcel Carvalho Abreu ◽  
José Francisco de Oliveira-Júnior
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Temporal Analysis ◽  
The State ◽  
Metropolitan Region ◽  
Spatial Correlations ◽  
Mato Grosso ◽  
Development Index ◽  
Spatio Temporal ◽  
Mato Grosso Do Sul

AbstractObjetiveTo analyze the spatial distribution of the Covid-19 incidence and its correlation with the municipal human development index (IDHM) in the state of Mato Grosso do Sul (MS), Brazil.MethodsThis is an ecological, exploratory and analytical study whose units of analysis were the 79 municipalities that make up the state of MS. Covid-19 incidence coefficients, death numbers, lethality rate, mortality rate and Human Development Index for municipalities (IDHM) in the period from March 2020 to December 31, 2020 were used. spatial correlations between the variables mentioned above.ResultsThe incidence of Covid-19 has spatial dependence with moderate positive correlation and formation of clusters located in the Metropolitan Region of Campo Grande (RMCG) and municipalities in the region.ConclusionThe uneven mapping of Covid-19 and its relationship with IDHM in the Ministry of Health can contribute to actions to address the regional pandemic.

Retail Development in Urban Canada

2013 ◽  
Vol 4 (1) ◽  
pp. 32-48 ◽  
Author(s):  
Ron Buliung ◽  
Tony Hernandez
Keyword(s):  
Point Processes ◽  
Kernel Estimation ◽  
Temporal Analysis ◽  
Metropolitan Region ◽  
Commercial Activity ◽  
Spatial Point Processes ◽  
Retail Development ◽  
Greater Toronto Area ◽  
Spatio Temporal ◽  
Using Data

During the last decade, rapid changes have occurred in the retail economy of North America that has brought about a functional transformation of retailing. Using data from a longitudinal database of commercial activity, this paper explores spatio-temporal patterns of retail development within Canada’s largest metropolitan region, the Greater Toronto Area (GTA). The paper provides an overview of the evolution of retailing in Canada and spatio-temporal analysis of the developing retail structure of the GTA. The work is situated within the branch of spatial statistics concerned with the description of spatial point processes. Bivariate kernel estimation and the G function are used to describe spatial patterns of retailing over time and by retail format type. The results highlight the wave of power centre retailing that swept across the GTA between 1996 and 2005. The paper concludes with a discussion of the gap between policy and planning and an emerging retail reality.

Sign in / Sign up

Export Citation Format

Share Document