scholarly journals Spatio-temporal analysis of malaria incidence in the Peruvian Amazon Region between 2002 and 2013

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Veronica Soto-Calle ◽  
Angel Rosas-Aguirre ◽  
Alejandro Llanos-Cuentas ◽  
Emmanuel Abatih ◽  
Redgi DeDeken ◽  
...  
Keyword(s):  
Malaria Incidence ◽  
Temporal Analysis ◽  
Amazon Region ◽  
Peruvian Amazon ◽  
Spatio Temporal

scholarly journals Spatio-temporal analysis of malaria incidence at the village level in a malaria-endemic area in Hainan, China

2011 ◽  
Vol 10 (1) ◽  
Author(s):  
Liang Wen ◽  
Chengyi Li ◽  
Minghe Lin ◽  
Zhengquan Yuan ◽  
Donghui Huo ◽  
...  
Keyword(s):  
Endemic Area ◽  
Malaria Incidence ◽  
Temporal Analysis ◽  
Malaria Endemic Area ◽  
Village Level ◽  
Spatio Temporal ◽  
The Village

scholarly journals Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

2016 ◽  
Vol 11 (3) ◽  
Author(s):  
Leonardo Augusto Kohara Melchior ◽  
Francisco Chiaravalloti Neto
Keyword(s):  
Mortality Rate ◽  
Case Fatality Rate ◽  
Parasite Species ◽  
Malaria Incidence ◽  
Case Fatality ◽  
Temporal Analysis ◽  
The State ◽  
Fatality Rate ◽  
Malaria Mortality ◽  
Spatio Temporal

Since 2005, the State of Acre, western Amazon, Brazil, has reported the highest annual parasite incidence (API) of malaria among the Brazilian states. This study examines malaria incidence in Acre using spatial and spatio-temporal analysis based on an ecological time series study analyzing malaria cases and deaths for the time period 1992- 2014 and using secondary data. API indexes were calculated by age, sex, parasite species, ratio of <em>Plasmodium vivax</em> to <em>P. falciparum</em> malaria, malaria mortality rate and case fatality rate. SaTScan was used to detect spatial and spatio-temporal clusters of malaria cases and data were represented in the form of choropleth maps. A high-risk cluster of malaria was detected in Vale do Juruá and three low-risk clusters in Vale do Acre for both parasite species. Those younger than 19 years of age and females showed a high incidence of malaria in Vale do Juruá, but working-age males were the most affected in Vale do Acre. The malaria mortality rate showed a decreasing trend across the state, while the case fatality rate increased only in the micro-region of Rio Branco during the study period. We conclude that malaria is a focal disease in Acre showing different spatial and spatio-temporal patterns of cases and deaths that vary by age, sex, and parasite species. Malaria incidence is thought to be influenced by factors related to regional characteristics; therefore, appropriate disease and vector control strategies must be implemented at each locality.

scholarly journals On multifactorial drivers for malaria rebound in Brazil: a spatio-temporal analysis

2021 ◽  
Author(s):  
Mario JC Ayala ◽  
Leonardo S Bastos ◽  
Daniel A.M. Villela
Keyword(s):  
Plasmodium Falciparum ◽  
Plasmodium Vivax ◽  
Malaria Control ◽  
Amazon Basin ◽  
Malaria Incidence ◽  
Control Program ◽  
Brazilian Amazon ◽  
Temporal Analysis ◽  
Control Programs ◽  
Spatio Temporal

Background: Malaria incidence in Brazil reversed its decreasing trend when cases from recent years, as recent as 2015, exhibited an increase in the Brazilian Amazon basin, the area with highest transmission of Plasmodium vivax and Plasmodium falciparum. In fact, an increase of more than 20% in the years 2016 and 2017 revealed possible vulnerabilities in the national malaria-control program. Methods: We studied factors that are potentially associated with this reversal, including migration, economical activities, and deforestation, and weakening of investment in control programs. We analyze past incidences of malaria cases due to Plasmodium vivax and Plasmodium falciparum with a spatio-temporal Bayesian model using more than 5 million individual records of malaria cases from January of 2003 to December of 2018 in the Brazilian Amazon to establish the municipalities with unexpected increases in cases. Results: We observe an increase in imported cases from border countries in Roraima state and found small effects due to deforestation and change of occupations. Also, an overall funding reduction from 2013 to 2016 happened before an increase in malaria cases in five regions in Amazon basin, markedly for P. vivax incidence and especially, in Pará and Roraima States. Conclusion: Urban developments, discontinued funding for control programs, migration from border areas, deforestation activities, and different economic activities such as mining and agriculture appear linked to the rebound on malaria incidence. These multifactorial drivers show that malaria control programs require permanent attention towards elimination.

Spatio-Temporal Analysis of Frontal Midline Theta Rhythm in EEG during 3-D Maze Task

2009 ◽  
Vol 129 (10) ◽  
pp. 1778-1784
Author(s):  
Yasuaki Uehara ◽  
Keita Tanaka ◽  
Yoshinori Uchikawa ◽  
Bong-Soo Kim
Keyword(s):  
Theta Rhythm ◽  
Temporal Analysis ◽  
Maze Task ◽  
Frontal Midline Theta ◽  
Spatio Temporal

Spatio-temporal analysis and prediction of grain security in Shaanxi Province

2010 ◽  
Vol 17 (4) ◽  
pp. 770-775
Author(s):  
Ren YANG ◽  
Zhi-Yuan REN ◽  
Qian XU ◽  
Mei-Xia WANG
Keyword(s):  
Temporal Analysis ◽  
Shaanxi Province ◽  
Spatio Temporal ◽  
Grain Security

scholarly journals Spatio-Temporal Analysis of Water Quality Parameters in Machángara River with Nonuniform Interpolation Methods

Water ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 507 ◽  
Author(s):  
Iván Vizcaíno ◽  
Enrique Carrera ◽  
Margarita Sanromán-Junquera ◽  
Sergio Muñoz-Romero ◽  
José Luis Rojo-Álvarez ◽  
...  
Keyword(s):  
Water Quality ◽  
Temporal Analysis ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Interpolation Methods ◽  
Spatio Temporal

scholarly journals Spatio-temporal analysis of COVID-19 incidence rate using GIS: a case study—Tehran metropolitan, Iran

GeoJournal ◽  
2021 ◽  
Author(s):  
R. Nasiri ◽  
S. Akbarpour ◽  
AR. Zali ◽  
N. Khodakarami ◽  
MH. Boochani ◽  
...  
Keyword(s):  
Incidence Rate ◽  
Temporal Analysis ◽  
Spatio Temporal
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