YEAR 2016 SURVEILLANCE DATA ANALYSIS OF CEREBRO-SPINAL MENINGITIS (CSM) CASES IN KEBBI, NORTH- WESTERN NIGERIA

This article articulates myself and my community’s journey navigating the Oblates of Mary Immaculate (OMI) records written historically about our People (the Bloods) in order to identify who our ancestors are. Through the examination of historical texts, records and materials written by the Oblate missionaries of North-Western Canada, we were able to discover the hidden lived experiences of our People. The purpose of this study was to provide new scholarly insights into the texts and records of the Oblates regarding the Blood People. This research took place at the Alberta Provincial Archives over a seven-month period. This article reviews who the Oblates of Mary Immaculate were, and what measures were used to uncover our ancestors in the Provincial Archives. Data analysis determined that the individual archival records fragmented Indigenous Peoples and their history; however, collectively these records blend together to tell a story.

Download Full-text

Mixture Markov regression model with application to mosquito surveillance data analysis

Biometrical Journal ◽

10.1002/bimj.201600137 ◽

2017 ◽

Vol 59 (3) ◽

pp. 462-477 ◽

Cited By ~ 1

Author(s):

Xin Gao ◽

Yurong R. Cao ◽

Nicholas Ogden ◽

Louise Aubin ◽

Huaiping P. Zhu

Keyword(s):

Data Analysis ◽

Regression Model ◽

Surveillance Data ◽

Mosquito Surveillance

Download Full-text

Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain

Water Science & Technology ◽

10.2166/wst.2016.002 ◽

2016 ◽

Vol 73 (7) ◽

pp. 1756-1767 ◽

Cited By ~ 5

Author(s):

G. Astray ◽

B. Soto ◽

D. Lopez ◽

M. A. Iglesias ◽

J. C. Mejuto

Keyword(s):

Data Analysis ◽

Prediction Models ◽

Good Tool ◽

Discharge Data ◽

Coefficient Of Correlation ◽

Hand Temperature ◽

Artificial Neural ◽

Input Variables ◽

Western Spain ◽

North Western

Transit data analysis and artificial neural networks (ANNs) have proven to be a useful tool for characterizing and modelling non-linear hydrological processes. In this paper, these methods have been used to characterize and to predict the discharge of Lor River (North Western Spain), 1, 2 and 3 days ahead. Transit data analyses show a coefficient of correlation of 0.53 for a lag between precipitation and discharge of 1 day. On the other hand, temperature and discharge has a negative coefficient of correlation (−0.43) for a delay of 19 days. The ANNs developed provide a good result for the validation period, with R2 between 0.92 and 0.80. Furthermore, these prediction models have been tested with discharge data from a period 16 years later. Results of this testing period also show a good correlation, with R2 between 0.91 and 0.64. Overall, results indicate that ANNs are a good tool to predict river discharge with a small number of input variables.

Download Full-text

Surveillance data analysis of revised national tuberculosis control program of Kangra, Himachal Pradesh

Journal of Family Medicine and Primary Care ◽

10.4103/2249-4863.120730 ◽

2013 ◽

Vol 2 (3) ◽

pp. 250 ◽

Cited By ~ 3

Author(s):

SurenderNikhil Gupta ◽

Naveen Gupta ◽

Shivani Gupta

Keyword(s):

Data Analysis ◽

Control Program ◽

Himachal Pradesh ◽

Surveillance Data ◽

Tuberculosis Control ◽

National Tuberculosis Control Program ◽

Tuberculosis Control Program ◽

National Tuberculosis ◽

National Tuberculosis Control

Download Full-text

Correlation between Local Eid-al-Fitr Homecoming (Mudik) with Coronavirus Disease-19 during Ramadhan Season Amidst Large-scale Social Distancing in Indonesia

Open Access Macedonian Journal of Medical Sciences ◽

10.3889/oamjms.2020.5369 ◽

2020 ◽

Vol 8 (T1) ◽

pp. 570-573

Author(s):

Meita Veruswati ◽

Al Asyary ◽

Rony Darmawansyah Alnur ◽

Guspianto Guspianto

Keyword(s):

Data Analysis ◽

Local Government ◽

Local Governments ◽

Large Scale ◽

Secondary Data ◽

Transmission Peak ◽

Surveillance Data ◽

Ministry Of Health ◽

Social Distancing ◽

The Difference

BACKGROUND: In anticipation of coronavirus disease (COVID)-19’s transmission peak, Eid-al-Fitr homecoming (mudik) has officially been banned by the Indonesian government interlocal but not local in welcoming this religious Muslim celebration. This local Mudik is held by traveling among regional provinces and is still allowed by each local government, including Java, which has the highest transmission of COVID-19 in Indonesia. AIM: This study aims to present the difference between COVID-19 status before and during local Mudik on Java during Ramadhan with the implementation of large-sale social distancing applied in Jakarta, Indonesia. METHODS: This research was employed by secondary data analysis that was obtained from surveillance data from related authorities, including the Ministry of Health and all local governments of Java, which consisted of four provinces and Jakarta. Incidence and suspect statuses of COVID-19, which were examined in the study, were presented in daily rates with before and during local Mudik in four provinces: Jawa Barat, Yogyakarta, Banten, and Jawa Tengah. RESULTS: The number of positive confirmed patients differed significantly with before and during local Mudik (p < 0.05; mean difference = −/negative values). CONCLUSION: This study’s findings showed that the local Mudik increased the number of COVID-19 cases in four provinces in Java, which these provinces were designated as Mudik destinations by travelers coming from Jakarta during the end of Ramadhan season.

Download Full-text