scholarly journals Statistical Distribution of Lassa Fever in Edo State, Nigeria

2021 ◽  
pp. 88-96
Author(s):  
Nwaigwe, Chrysogonus Chinagorom ◽  
Bartholomew, Desmond Chekwube ◽  
Eze, Petra Adachukwu
Keyword(s):  
Goodness Of Fit ◽  
Lassa Fever ◽  
Statistical Distribution ◽  
Lassa Virus ◽  
Goodness Of Fit Test ◽  
Republic Of Guinea ◽  
Edo State ◽  
The Republic ◽  
Discrete Uniform ◽  
Access To Food

Lassa fever is a severe viral infection caused by the Lassa virus and spread by contact with excretions or secretions of infected rats gaining access to food and water inside human houses and other human activity areas. Sierra Leone, the Republic of Guinea, Nigeria, and Liberia are among the nations where it is endemic with a high number of deaths recorded yearly due to Lassa fever. In Nigeria, one of the states with the highest incidence is Edo. In order to reduce and predict the spread of Lassa fever in Edo state, the trend of the disease needs to be understood. Knowledge of the statistical distribution of a disease is one of the best ways to understand the trend of the disease. Currently, existing research on the statistical distribution of Lassa fever is very rare. The present work is an attempt to initiate research on the statistical distribution of Lassa fever with data obtained on weekly cases of Lassa Fever in Edo State, Nigeria. Based on the Kolmogorov Smirnoff and Anderson Darling’s goodness of fit test for fitting distribution, the Geometric distribution outfitted the weekly confirmed incidences of Lassa fever in Edo State, Nigeria when compared with the Discrete Uniform and Poisson distributions. The study further revealed that on the average, two Lassa fever cases is recorded per week in Edo State within the study period. This number of cases per week is on the high side and should be immediately looked into.

scholarly journals Detection of Lassa Virus Antinucleoprotein Immunoglobulin G (IgG) and IgM Antibodies by a Simple Recombinant Immunoblot Assay for Field Use

1998 ◽  
Vol 36 (11) ◽  
pp. 3143-3148 ◽  
Author(s):  
J. ter Meulen ◽  
K. Koulemou ◽  
T. Wittekindt ◽  
K. Windisch ◽  
S. Strigl ◽  
...  
Keyword(s):  
Amino Acid Level ◽  
Lassa Fever ◽  
Immunoglobulin M ◽  
Lassa Virus ◽  
Serum Samples ◽  
Predictive Values ◽  
Immunoblot Assay ◽  
Republic Of Guinea ◽  
Igm Antibodies ◽  
The Republic

The nucleoprotein of Lassa virus, strain Josiah, was expressed inEscherichia coli as an N-terminally truncated, histidine-tagged recombinant protein. Following affinity purification the protein was completely denatured and spotted onto nitrocellulose membrane. A total of 1 μg of protein was applied for detection of Lassa virus antibodies (LVA) in a simple immunoblot assay. Specific anti-Lassa immunoglobulin M (IgM) antibodies could be detected by increasing the amount of protein to 5 μg. A panel of 913 serum specimens from regions in which Lassa virus was endemic and from regions in which Lassa virus was not endemic was used for evaluating the sensitivity and specificity of the LVA immunoblot in comparison to those of an indirect immunofluorescence (IIF) assay. The sera originated from field studies conducted in the Republic of Guinea (570 serum samples) and Liberia (99 serum samples), from inpatients of the clinical department of the Bernhard-Nocht-Institute, Hamburg, Germany (94 serum samples), and from healthy German blood donors (150 serum samples). In comparison to the IIF assay the LVA immunoblot assay had a specificity of 90.0 to 99.3%, depending on the origin of the specimens. The sensitivity was found to be highest for the Guinean samples (90.7%) and was lower for the Liberian samples (75%). Acute Lassa fever was diagnosed by PCR in 12 of 59 (20.3%) patients with fever of unknown origin (FUO) from the Republic of Guinea. On admission to the hospital, nine Lassa fever patients (75%) were reactive by the IgM immunoblot assay. One of the patients was infected with a new Lassa variant, which showed 10.4% variation on the amino acid level in comparison to the prototype strain of Lassa virus, Josiah. Seven PCR-negative patients were reactive by immunoblotting. The positive and negative predictive values of a single IgM immunoblot result for acute, PCR-confirmed Lassa fever were therefore 53.6 and 93.0%, respectively. Because of its high negative predictive value, a single IgM immunoblot result will be valuable for excluding acute Lassa fever for cases of FUO in areas where Lassa fever is endemic.

scholarly journals Results of the Verification of the Statistical Distribution Model of Microseismicity Emission Characteristics

2016 ◽  
Vol 61 (3) ◽  
pp. 489-496
Author(s):  
Aleksander Cianciara
Keyword(s):  
Distribution Function ◽  
Weibull Distribution ◽  
Goodness Of Fit ◽  
Cumulative Distribution Function ◽  
Statistical Distribution ◽  
Cumulative Distribution ◽  
Distribution Model ◽  
Emission Characteristics ◽  
Goodness Of Fit Test ◽  
Empirical Cumulative Distribution Function

Abstract The paper presents the results of research aimed at verifying the hypothesis that the Weibull distribution is an appropriate statistical distribution model of microseismicity emission characteristics, namely: energy of phenomena and inter-event time. It is understood that the emission under consideration is induced by the natural rock mass fracturing. Because the recorded emission contain noise, therefore, it is subjected to an appropriate filtering. The study has been conducted using the method of statistical verification of null hypothesis that the Weibull distribution fits the empirical cumulative distribution function. As the model describing the cumulative distribution function is given in an analytical form, its verification may be performed using the Kolmogorov-Smirnov goodness-of-fit test. Interpretations by means of probabilistic methods require specifying the correct model describing the statistical distribution of data. Because in these methods measurement data are not used directly, but their statistical distributions, e.g., in the method based on the hazard analysis, or in that that uses maximum value statistics.

scholarly journals Statistical Distribution of Rainfall in Kurdistan-Iraq Region

2020 ◽  
Vol 30 (4) ◽  
pp. 18
Author(s):  
Meeran Akram Fawzee ◽  
Samira M. Salh ◽  
Slahaddin A. Ahmed
Keyword(s):  
Goodness Of Fit ◽  
Extreme Value ◽  
Rainfall Amount ◽  
Statistical Distribution ◽  
Rainfall Series ◽  
Goodness Of Fit Test ◽  
Chi Square ◽  
Anderson Darling ◽  
Best Fit ◽  
General Extreme Value

Study the statistical distribution for rainfall is important to know the behaviour of the rainfall series and to know the most frequently rainfall amount in each month. Five statistical distribution were applied on Sulaimani, Erbil and Duhok rainfall series for the period (1941-2017) except Duhok (1944-2017). These distributions were Gamma(3P), Weibul(3P), Earlang (3P), Normal and General extreme value. Kolmogrove-Semirnov, Anderson-Darling and Chi-Square goodness of fit test were used to know the best fit distribution from these five distributions.

cccccImmunological screening of Lassa Virus among Health workers and Contacts of patients of Lassa fever in Ondo State

Immunobiology ◽  
2021 ◽  
pp. 152076
Author(s):  
Joseph Ojonugwa Shaibu ◽  
Olumuyiwa Babalola Salu ◽  
Olufemi Samuel Amoo ◽  
Ifeoma Idigbe ◽  
Adesola Zaidat Musa ◽  
...  
Keyword(s):  
Health Workers ◽  
Lassa Fever ◽  
Lassa Virus ◽  
Ondo State

Naming the Baga: Problems in the Identity of a Guinean Cultural Amalgamation

2021 ◽  
pp. 1-26
Author(s):  
Frederick John Lamp
Keyword(s):  
Sierra Leone ◽  
Language Group ◽  
Cultural Groups ◽  
Republic Of Guinea ◽  
Hierarchical Relationship ◽  
The Republic

Abstract Along the coast of the Republic of Guinea, the term “Baga” has been used to cover a large amalgamation of cultural groups, always previously misinterpreted. There are five dialect groups called Baga within the Temne language group. The question raised here concerns the etymology of the name Baga, as it has evolved in juxtaposition to the name Temne in Sierra Leone. It is an attempt to parse the intricate use of language to describe the historical and hierarchical relationship between these two segments of the same group.

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