scholarly journals Epidemiology of HIV Infection in the Amhara Region of Ethiopia, 2015 to 2018 Surveillance Data Analysis

2020 ◽  
Vol Volume 12 ◽  
pp. 307-314
Author(s):  
Etsehiwot Debe Worku ◽  
Mulusew Andualem Asemahagn ◽  
Melese Linger Endalifer
Keyword(s):  
Data Analysis ◽  
Hiv Infection ◽  
Surveillance Data ◽  
Amhara Region

scholarly journals Surveillance data analysis on Measles cases, Anambra State, Nigeria, 2011-2016

2018 ◽  
Vol 73 ◽  
pp. 266-267
Author(s):  
C. Obagha ◽  
S. Gidado ◽  
B. Uba ◽  
S. Ajisegiri ◽  
P. Nguku ◽  
...  
Keyword(s):  
Data Analysis ◽  
Surveillance Data ◽  
Anambra State

Rising HIV infection in Victoria: an analysis of surveillance data

2004 ◽  
Vol 28 (3) ◽  
pp. 217-219 ◽  
Author(s):  
Jane Hocking ◽  
Cathy Keenan ◽  
Michael Catton ◽  
Alan Breschkin ◽  
Rebecca Guy ◽  
...  
Keyword(s):  
Hiv Infection ◽  
Surveillance Data

National measles surveillance data analysis, 2005 to 2009, Ethiopia

2016 ◽  
Vol 8 (3) ◽  
pp. 27-37 ◽  
Author(s):  
Bezabih Beyene Belay ◽  
G libanos G Selassie Ghidey ◽  
Ademe Tegegne Aysheshim ◽  
Jima Wayessa Daddi ◽  
Enqueselassie Fikre
Keyword(s):  
Data Analysis ◽  
Surveillance Data

scholarly journals The role of socio-demographic determinants in the geo-spatial distribution of newly diagnosed HIV infections in small areas of Catalonia (Spain)

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Cristina Agustí ◽  
Núria Font-Casaseca ◽  
Francesc Belvis ◽  
Mireia Julià ◽  
Núria Vives ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Hiv Infection ◽  
Urban Areas ◽  
Western Europe ◽  
Hiv Infections ◽  
National Registry ◽  
Surveillance Data ◽  
Newly Diagnosed ◽  
Hiv Diagnosis ◽  
Incident Cases

Abstract Background Spatial visualization of HIV surveillance data could improve the planning of programs to address the HIV epidemic. The objectives of the study were to describe the characteristics and the spatial distribution of newly diagnosed HIV infection in Catalonia and to identify factors associated with HIV infection rates. Methods Surveillance data from the national registry were presented in the form of descriptive and ring maps and used to study the spatial distribution of new HIV diagnoses in Catalonia (2012–2016) and associated risk factors at the small area level (ABS, acronym for “basic health area” in Catalan). Incident cases were modeled using the following as predictors: type of municipality, prevalence of young men and migrant groups, GBMSM activity indicators, and other variables at the aggregated level. Results New HIV diagnoses are heterogeneously distributed across Catalonia. The predictors that proved to be significantly associated with a higher rate of new HIV diagnoses were ABS located in the city of Barcelona (IRR, 2.520; P < 0.001), a higher proportion of men aged 15–44 years (IRR, 1.193; P = 0.003), a higher proportion of GBMSM (IRR, 1.230; P = 0.030), a higher proportion of men from Western Europe (IRR, 1.281; P = 0.003), a higher proportion of men from Latin America (IRR, 1.260; P = 0.003), and a higher number of gay locations (IRR, 2.665; P < 0.001). No association was observed between the HIV diagnosis rate and economic deprivation. Conclusions Ring maps revealed substantial spatial associations for the rate of new HIV diagnoses. New HIV diagnoses are concentrated in ABS located in urban areas. Our results show that, in the case of HIV infection, the socioeconomic deprivation index on which the Catalan government bases its budget allocation policies among the ABS should not be the only criterion used.

Mixture Markov regression model with application to mosquito surveillance data analysis

2017 ◽  
Vol 59 (3) ◽  
pp. 462-477 ◽  
Author(s):  
Xin Gao ◽  
Yurong R. Cao ◽  
Nicholas Ogden ◽  
Louise Aubin ◽  
Huaiping P. Zhu
Keyword(s):  
Data Analysis ◽  
Regression Model ◽  
Surveillance Data ◽  
Mosquito Surveillance

Sharply rising prevalence of HIV infection in Bali: a critical assessment of the surveillance data

2013 ◽  
Vol 24 (8) ◽  
pp. 633-637 ◽  
Author(s):  
P P Januraga ◽  
L P L Wulandari ◽  
P Muliawan ◽  
S Sawitri ◽  
L Causer ◽  
...  
Keyword(s):  
Hiv Infection ◽  
Critical Assessment ◽  
Surveillance Data

scholarly journals A Five-Year Trend Analysis of Malaria Surveillance Data in Selected Zones of Amhara Region, Northwest Ethiopia

2020 ◽  
Author(s):  
Damtie Lankir ◽  
Samrawit Solomn ◽  
Addisu Gize
Keyword(s):  
Trend Analysis ◽  
Diagnostic Test ◽  
Clinical Malaria ◽  
Northwest Ethiopia ◽  
Surveillance Data ◽  
Risk Of Infection ◽  
Amhara Region ◽  
Malaria Surveillance ◽  
Microsoft Excel ◽  
Public Health Institute

Abstract Background: Trend analysis of malaria surveillance data is essential to inform stakeholders on progress towards malaria control. From the total 387,096 cases of malaria reported in Amhara region in 2017, 167,079 (43.2%) cases were in Central, North and West Gondar zones. From this total figure of zones, 15,445 (9.2%) were ≤5 years which contributes 4 % of cases in the region. So, the purpose of this study was to analyze trends of malaria parasite in Selected Zones of Amhara Region, Northwest Ethiopia Methods: A Retrospective study was conducted on purposely selected Central, North and West Gondar zones from July 1- 30/ 2018. Data were collected, entered, cleaned, analyzed and interpreted using Microsoft Excel-2010. Different tables, figures and maps were used to present results. Result: A total of 2,827,722 cases have been received a diagnostic test of; Microscopy 1,712,193(60.56%) and Rapid Diagnostic Test (RDT) 1,115,529(39.44%). Trends of total patients treated as confirmed and clinical malaria cases in July 2017- June 2018 were decreased to 139297 (14%) as compared from July 2015- June 2016, 249571(25%). From total cases received diagnostic tests only 1,003,391 (36%) were confirmed and clinical cases treated with antimalaria. Of these Plasmodium falciparum and vivax malaria cases were confirmed to be 1,002,946 (99.96%) and clinical malaria cases were 445(0.04%), respectively. Conclusion: Risk of infection and diagnostic effort were high in West Gondar Zone. The Amhara public health institute including health Bureau, stakeholders and all responsible bodies should give special standing to highest malaria districts of West Gondar zone.

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