unstable transmission
Recently Published Documents


TOTAL DOCUMENTS

36
(FIVE YEARS 4)

H-INDEX

16
(FIVE YEARS 1)

2020 ◽  
Vol 103 (6) ◽  
pp. 2189-2197 ◽  
Author(s):  
Bartholomew N. Ondigo ◽  
Karen E. S. Hamre ◽  
Anne E. P. Frosch ◽  
George Ayodo ◽  
Michael T. White ◽  
...  

2020 ◽  
Vol 11 ◽  
pp. e00161
Author(s):  
Sana Aqeel ◽  
Ansari Naheda ◽  
Adil Raza ◽  
Wajihullah Khan

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0199415 ◽  
Author(s):  
Jamille Gregório Dombrowski ◽  
Rodrigo Medeiros de Souza ◽  
Natércia Regina Mendes Silva ◽  
André Barateiro ◽  
Sabrina Epiphanio ◽  
...  

2017 ◽  
Vol 13 (1) ◽  
pp. 1-6
Author(s):  
Supriyanto Supriyanto ◽  
Nunung Nurhayati ◽  
Dwi Sarwani Sri Rejeki

Malaria still becomes a public health problem in Indonesia although has declined the last decades. The incidences of malaria in Banyumas shows unstable transmission and still risk of epidemic . Thus, the spatial and temporal distribution is required as part of efforts towards the elimination of malaria in Banyumas. Temporal spatial statistical methods is used to identify a group of malaria incidence at the district level. Purely spatial clusters of malaria incidence from 2004 to 2015 shows that the disease is not distributed randomly in the study area. A total of nine districts of high risk is determined by analysis of Morans I. The analysis showed that by the Morans I test, there is spatial autocorrelation found in the percentage malaria incidence from 2004 to 2015 in Banyumas. The use of the model can provide a means to detect the spatial distribution, temporal, and spatiotemporal malaria, as well as to identify areas of high risk of malaria. This research may help in prioritizing resources on high-risk areas for malaria control in the future and towards the elimination of malaria in Banyumas.


2016 ◽  
Vol 15 (1) ◽  
Author(s):  
Daniel M. Parker ◽  
Jordi Landier ◽  
Lorenz von Seidlein ◽  
Arjen Dondorp ◽  
Lisa White ◽  
...  

2015 ◽  
Vol 6 (5) ◽  
pp. 17-20
Author(s):  
Joydeep Mukherjee ◽  
Pradeep Chakrabarty

Background: Conventionally, vivax malaria was called as benign malaria. But recent reports of severe vivax malaria were coming from different parts of the World. We studied to find out different attributes of patients, suffering from Plasmodium vivax to reveal some key pattern of severe vivax malaria. Methods: Retrospective, observational and cross-sectional study was conducted comprising first hundred malaria indoor cases in a tertiary hospital in Kolkata, India, having unstable transmission. Their various parameters were noted in MS-Excel software. Malaria species was identified and severe malaria cases were noted according to WHO criteria. Data was analysed with GraphPad Instat Software. Results: Among 57 vivax malaria cases, 16 (28.1%) were having severe malaria and among 32 falciparum malaria cases, 11 (34.4%) were having severe malaria; without significant difference between two species in incidence of severe malaria manifestations. Two (18.2%) patients suffering from mixed malaria had severe malaria. Jaundice was the commonest severe malaria manifestation. Conclusion: Incidence of severe vivax malaria was high. Severe malaria manifestations were present in vivax and falciparum cases, without significant difference.DOI: http://dx.doi.org/10.3126/ajms.v6i5.12094 Asian Journal of Medical Sciences Vol.6(5) 2015 17-20


2015 ◽  
Vol 92 (2) ◽  
pp. 294-301 ◽  
Author(s):  
Mary Lopez-Perez ◽  
Álvaro Álvarez ◽  
Sócrates Herrera ◽  
Myriam Arévalo-Herrera ◽  
Juan B. Gutierrez ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document