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

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.

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

Journal of Nepal Geological Society ◽

10.3126/jngs.v58i0.24599 ◽

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.

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Spatio-temporal analysis of Romania's rural population access to sanitation services in the context of EU accession,

10.31235/osf.io/bm9g7 ◽

2016 ◽

Author(s):

Florin Constantin MIHAI

Keyword(s):

Rural Areas ◽

Rural Population ◽

Temporal Evolution ◽

Temporal Analysis ◽

Paper Analysis ◽

Waste Collection ◽

Acquis Communautaire ◽

Sanitation Services ◽

Spatio Temporal ◽

The Eu

This paper analysis the disparities between Romanian Counties regarding thespatio-temporal evolution of rural population acces to sanitation servicesfor pre-accession period (2003-2006) and the first two years since Romaniais part of the EU-27 (2007-2008) highlighting positive or negative changesoccurred in this period.Romanian counties were mapped and divided into fivetypological classes,using multivariate analysis such as hierarchicalcluster analysis method.Each class has different values of rural populationserved by waste collection services related to the Romania average(expressed in standard deviations).Limited access to sanitation servicesfrom rural areas lead to uncontrolled waste disposal.Despite improvement ofpublic access to sanitation services in rural areas compared to 2003 mostof population still lack access to waste collection services in 2008.Inthis context, implementation of the acquis communautaire on municipal wastemanagement is difficult to achieve in rural territory.

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Spatio-temporal analysis of differences in campylobacteriosis incidence between urban and rural areas in the Southern District Health Board, New Zealand

Spatial and Spatio-temporal Epidemiology ◽

10.1016/j.sste.2019.100304 ◽

2019 ◽

Vol 31 ◽

pp. 100304

Author(s):

Rodelyn Jaksons ◽

Beverley Horn ◽

Elaine Moriarty ◽

Elena Moltchanova

Keyword(s):

New Zealand ◽

Rural Areas ◽

Temporal Analysis ◽

Health Board ◽

District Health ◽

Southern District ◽

Spatio Temporal ◽

Urban And Rural Areas

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Household level spatio-temporal analysis of Plasmodium falciparum and Plasmodium vivax malaria in Ethiopia

Parasites & Vectors ◽

10.1186/s13071-017-2124-6 ◽

2017 ◽

Vol 10 (1) ◽

Cited By ~ 8

Author(s):

Dinberu Seyoum ◽

Delenasaw Yewhalaw ◽

Luc Duchateau ◽

Patrick Brandt ◽

Angel Rosas-Aguirre ◽

...

Keyword(s):

Plasmodium Falciparum ◽

Plasmodium Vivax ◽

Vivax Malaria ◽

Temporal Analysis ◽

Household Level ◽

Plasmodium Vivax Malaria ◽

Spatio Temporal

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Can electricity demand lead to air pollution? A spatio-temporal analysis of electricity demand with climatic conditions

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2020.110413 ◽

2021 ◽

Vol 136 ◽

pp. 110413

Author(s):

Jatin Bedi ◽

Durga Toshniwal

Keyword(s):

Air Pollution ◽

Temporal Analysis ◽

Climatic Conditions ◽

Electricity Demand ◽

Spatio Temporal

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

Scientific Reports ◽

10.1038/s41598-021-91306-z ◽

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.

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Mortality from Suicide in the Municipalities of Mainland Portugal: Spatio-Temporal Evolution between 1980 and 2015

Acta Médica Portuguesa ◽

10.20344/amp.9423 ◽

2018 ◽

Vol 31 (1) ◽

pp. 38 ◽

Cited By ~ 3

Author(s):

Adriana Loureiro ◽

Ricardo Almendra ◽

Cláudia Costa ◽

Paula Santana

Keyword(s):

Relative Risk ◽

Mortality Rate ◽

Rural Areas ◽

Suicide Risk ◽

Temporal Evolution ◽

Temporal Analysis ◽

Suicide Mortality ◽

Joinpoint Regression ◽

Mainland Portugal ◽

Spatio Temporal

Introduction: Suicide is considered a public health priority. It is a complex phenomenon resulting from the interaction of several factors, which do not depend solely on individual conditions. This study analyzes the spatio-temporal evolution of suicide mortality between 1980 and 2015, identifying areas of high risk, and their variation, in the 278 municipalities of Continental Portugal.Material and Methods: Based on the number of self-inflicted injuries and deaths from suicide and the resident population, the spatio-temporal evolution of the suicide mortality rate was assessed via: i) a Poisson joinpoint regression model, and ii) spatio-temporal clustering methods.Results: The suicide mortality rate evolution showed statistically significant increases over three periods (1980 - 1984; 1999 - 2002 and 2006 - 2015) and two statistically significant periods of decrease (1984 - 1995 and 1995 - 1999). The spatio-temporal analysis identified five clusters of high suicide risk (relative risk >1) and four clusters of low suicide risk (relative risk < 1).Discussion: The periods when suicide mortality increases seem to overlap with times of economic and financial instability. The geographical pattern of suicide risk has changed: presently, the suicide rates from the municipalities in the Center and North are showing more similarity with those seen in the South, thus increasing the ruralization of the phenomenon of suicide.Conclusion: Between 1980 and 2015 the spacio-temporal pattern of mortality from suicide has been changing and is a phenomenon that is currently experiencing a growing trend (since 2006) and is of higher risk in rural areas.

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