LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 12

Search options

  1. Article: The impact of Russo-Ukrainian war, COVID-19, and oil prices on global food security.

    Al-Rousan, Nadia / Al-Najjar, Hazem / Al-Najjar, Dana

    Heliyon

    2024  Volume 10, Issue 8, Page(s) e29279

    Abstract: Context: Light of recent global upheavals, including volatile oil prices, the Russo-Ukrainian conflict, and the COVID-19 pandemic this study delves into their profound impact on the import and export dynamics of global foodstuffs. With rising staple ... ...

    Abstract Context: Light of recent global upheavals, including volatile oil prices, the Russo-Ukrainian conflict, and the COVID-19 pandemic this study delves into their profound impact on the import and export dynamics of global foodstuffs. With rising staple food prices reminiscent of the 2010-2011 global food crisis, understanding these shifts comprehensively is imperative.
    Objective: Our objective is to evaluate this impact by examining six independent variables (year, month, Brent crude oil, COVID-19, the Russo-Ukrainian conflict) alongside six food indicators as dependent variables. Employing Pearson's correlation, linear regression, and seasonal autoregressive integrated moving averages (SARIMA), we scrutinize intricate relationships among these variables.
    Results and conclusions: Our findings reveal varying degrees of association, notably highlighting a robust correlation between Brent crude oil and food indicators. Linear regression analysis suggests a positive influence of the Russo-Ukrainian conflict, Brent oil on food price indices, and COVID-19. Furthermore, integrating SARIMA enhances predictive accuracy, offering insights into future projections.
    Significance: Finally, this research has a significant role in providing a valuable analysis into the intricate dynamics of global food pricing, informing decision-making amidst global challenges and bridging critical gaps in prior research on forecasting food price indices.
    Language English
    Publishing date 2024-04-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e29279
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Article ; Online: Data analysis of coronavirus COVID-19 epidemic in South Korea based on recovered and death cases.

    Al-Rousan, Nadia / Al-Najjar, Hazem

    Journal of medical virology

    2020  Volume 92, Issue 9, Page(s) 1603–1608

    Abstract: Coronavirus epidemic caused an emergency in South Korea. The first infected case came to light on 20 January 2020 followed by 9583 more cases that were reported by 29 March 2020. This indicates that the number of confirmed cases is increasing rapidly, ... ...

    Abstract Coronavirus epidemic caused an emergency in South Korea. The first infected case came to light on 20 January 2020 followed by 9583 more cases that were reported by 29 March 2020. This indicates that the number of confirmed cases is increasing rapidly, which can cause a nationwide crisis for the country. The aim of this study is to fill a gap between previous studies and the current rate of spreading of COVID-19 by extracting a relationship between independent variables and the dependent ones. This study statistically analyzed the effect of factors such as sex, region, infection reasons, birth year, and released or diseased date on the reported number of recovered and deceased cases. The results found that sex, region, and infection reasons affected both recovered and deceased cases, while birth year affected only the deceased cases. Besides, no deceased cases are reported for released cases, while 11.3% of deceased cases positive confirmed after their deceased. Unknown reason of infection is the main variable that detected in South Korea with more than 33% of total infected cases.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; COVID-19/epidemiology ; COVID-19/mortality ; COVID-19/virology ; Disease Outbreaks ; Factor Analysis, Statistical ; Female ; Humans ; Male ; Middle Aged ; Mortality ; Patient Outcome Assessment ; Public Health Surveillance ; Republic of Korea/epidemiology ; Risk Factors ; SARS-CoV-2 ; Sex Factors ; Young Adult
    Keywords covid19
    Language English
    Publishing date 2020-06-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.25850
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 1320: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article ; Online: Developing a Sustainable Machine Learning Model to Predict Crop Yield in the Gulf Countries

    Hamzeh F. Assous / Hazem AL-Najjar / Nadia Al-Rousan / Dania AL-Najjar

    Sustainability, Vol 15, Iss 9392, p

    2023  Volume 9392

    Abstract: Crop yield prediction is one of the most challenging tasks in agriculture. It is considered to play an important role and be an essential step in decision-making processes. The goal of crop prediction is to establish food availability for the coming ... ...

    Abstract Crop yield prediction is one of the most challenging tasks in agriculture. It is considered to play an important role and be an essential step in decision-making processes. The goal of crop prediction is to establish food availability for the coming years, using different input variables associated with the crop yield domain. This paper aims to predict the yield of five of the Gulf countries’ crops: wheat, dates, watermelon, potatoes, and maize (corn). Five independent variables were used to develop a prediction model, namely year, rainfall, pesticide, temperature changes, and nitrogen (N) fertilizer; all these variables are calculated by year. Moreover, this research relied on one of the most widely used machine learning models in the field of crop yield prediction, which is the neural network model. The neural network model is used because it can predict complex relationships between independent and dependent variables. To evaluate the performance of the prediction models, different statistical evaluation metrics are adopted, including mean square error (MSE), root-mean-square error (RMSE), mean bias error (MBE), Pearson’s correlation coefficient, and the determination coefficient. The results showed that all Gulf countries are affected mainly by four independent variables: year, temperature changes, pesticides, and nitrogen (N) per year. Moreover, the average of the best crop yield prediction results for the Gulf countries showed that the RMSE and R 2 are 0.114 and 0.93, respectively. This provides initial evidence regarding the capability of the neural network model in crop yield prediction.
    Keywords crop yield prediction ; food security ; neural network ; gulf countries ; Pearson’s correlation ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 006
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Article ; Online: Can COVID-19 Virus Be Created in the Laboratory?

    Al-Najjar, Hazem / AL-Rousan, Nadia

    SSRN Electronic Journal ; ISSN 1556-5068

    A Theoretical Experimental Study

    2020  

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    DOI 10.2139/ssrn.3607796
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Article ; Online: Data analysis of coronavirus COVID‐19 epidemic in South Korea based on recovered and death cases

    AL‐Rousan, Nadia / AL‐Najjar, Hazem

    Journal of Medical Virology

    2020  Volume 92, Issue 9, Page(s) 1603–1608

    Keywords Virology ; Infectious Diseases ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.25850
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 1320: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  6. Article: Data analysis of coronavirus COVID-19 epidemic in South Korea based on recovered and death cases

    Al-Rousan, Nadia / Al-Najjar, Hazem

    J. med. virol

    Abstract: Coronavirus epidemic caused an emergency in South Korea. The first infected case came to light on 20 January 2020 followed by 9583 more cases that were reported by 29 March 2020. This indicates that the number of confirmed cases is increasing rapidly, ... ...

    Abstract Coronavirus epidemic caused an emergency in South Korea. The first infected case came to light on 20 January 2020 followed by 9583 more cases that were reported by 29 March 2020. This indicates that the number of confirmed cases is increasing rapidly, which can cause a nationwide crisis for the country. The aim of this study is to fill a gap between previous studies and the current rate of spreading of COVID-19 by extracting a relationship between independent variables and the dependent ones. This study statistically analyzed the effect of factors such as sex, region, infection reasons, birth year, and released or diseased date on the reported number of recovered and deceased cases. The results found that sex, region, and infection reasons affected both recovered and deceased cases, while birth year affected only the deceased cases. Besides, no deceased cases are reported for released cases, while 11.3% of deceased cases positive confirmed after their deceased. Unknown reason of infection is the main variable that detected in South Korea with more than 33% of total infected cases.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #47958
    Database COVID19

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Article ; Online: Data Analysis of Coronavirus CoVID‐19 Epidemic in South Korea Based on Recovered and Death Cases

    Al‐Rousan, Nadia / Al‐Najjar, Hazem

    2020  

    Abstract: Coronavirus epidemic caused announcing emergency case in South Korea. The virus started with one infected case by January 20, 2020, where 9583 announced cases were reported by March 29, 2020. This indicates that the number of confirmed cases is ... ...

    Abstract Coronavirus epidemic caused announcing emergency case in South Korea. The virus started with one infected case by January 20, 2020, where 9583 announced cases were reported by March 29, 2020. This indicates that the number of confirmed cases is increasing rapidly, which can cause national crises for South Korea. The aim of this study is to fill a gap between previous studies and the current development of CoVID‐19 spreading, by extracting a relationship between independent variables and dependent variable. This research statistically analyzed the effect of sex, region, infection reasons, birth year, and released or diseased date on the reported numbers of recovered and deceased cases. The results found that sex, region, and infection reasons affected on both recovered and deceased cases, while birth year only affected on deceased cases. Besides, no deceased cases are reported for released cases, while 11.3% of deceased cases positive confirmed after their deceased. Unknown reason of infection is the main variable that detected in South Korea with more than 33% of total infected cases.
    Keywords Epidemiology ; engineering and technology ; infection ; South Korea ; Coronavirus ; COVID-19 ; covid19
    Language English
    Publisher WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
    Publishing country tr
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  8. Article ; Online: Are Italy and Iran really suffering from COVID-19 epidemic? A controversial study

    Al-Najjar, Hazem / Al-Rousan, Nadia

    2020  

    Abstract: Document Information Language:English Accession Number: WOS:000533783000059 PubMed ID: 32373989 ... The number of global COVID-19 infected cases is increased rapidly to exceed 370 thousand. COVID-19 is transmitted between humans through direct contact and ... ...

    Abstract Document Information Language:English Accession Number: WOS:000533783000059 PubMed ID: 32373989

    The number of global COVID-19 infected cases is increased rapidly to exceed 370 thousand. COVID-19 is transmitted between humans through direct contact and touching dirty surfaces. This paper aims to find the similarity between DNA sequences of COVID-19 in different countries, and to compare these sequences with three different diseases [HIV, Hand-Foot-Mouth disease (HFMD), and Cryptococcus]. The study used pairwise distance, maximum likelihood tree. and similarity between amino acid to find the results. The results showed that different three main types of viruses namely, COVID-19 are found. The virus in both Italy and Iran is not similar to COVID-19 in China and USA. While, two viruses were spread in Wuhan (before and after December 26, 2019). Besides Cryptococcus and HFMD are found as dominant diseases with Group 1 and Group 3, respectively. Authors claim that the current virus in Italy and Iran that killed thousands of people is not COVID-19 based on the available data.
    Keywords COVID-19 ; HIV ; HFMD ; Cryptococcus ; Maximum likelihood tree ; covid19
    Language English
    Publisher VERDUCI PUBLISHER, VIA GREGORIO VII, ROME, 186-00165, ITALY
    Publishing country tr
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  9. Article ; Online: A classifier prediction model to predict the status of Coronavirus CoVID-19 patients in South Korea

    Al-Najjar, Hazem / Al-Rousan, Nadia

    2020  

    Abstract: Document Information Language:English Accession Number: WOS:000525326200064 PubMed ID: 32271458 ... OBJECTIVE: Coronavirus COVID-19 further transmitted to several countries globally. The status of the infected cases can be determined basing on the ... ...

    Abstract Document Information Language:English Accession Number: WOS:000525326200064 PubMed ID: 32271458

    OBJECTIVE: Coronavirus COVID-19 further transmitted to several countries globally. The status of the infected cases can be determined basing on the treatment process along with several other factors. This research aims to build a classifier prediction model to predict the status of recovered and death coronavirus CovID-19 patients in South Korea. MATERIALS AND METHODS: Artificial neural network principle is used to classify the collected data between February 20, 2020 and March 9, 2020. The proposed classifier used different seven variables, namely, country, infection reason, sex, group, confirmation date, birth year, and region. The most effective variables on recovered and fatal cases are analyzed based on the neural network model. RESULTS: The results found that the proposed predictive classifier efficiently predicted recovered and death cases. Besides, it is found that discovering the infection reason would increase the probability to recover the patient. This indicates that the virus might be controllable based on infection reasons. In addition, the earlier discovery of the disease affords better control and a higher probability of being recovered. CONCLUSIONS: Our recommendation is to use this model to predict the status of the patients globally.
    Keywords Epidemiology ; Engineering and technology ; Infection ; South Korea ; covid19
    Subject code 006
    Language English
    Publisher VERDUCI PUBLISHER, VIA GREGORIO VII, ROME, 186-00165, ITALY
    Publishing country tr
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  10. Article ; Online: The correlation between the spread of COVID-19 infections and weather variables in 30 Chinese provinces and the impact of Chinese government mitigation plans

    Al-Rousan, Nadia / Al-Najjar, Hazem

    2020  

    Abstract: Document Information Language:English Accession Number: WOS:000533783000067 PubMed ID: 32373996 ... On February 1, 2020, China announced a novel coronavirus CoVID-19 outbreak to the public. CoVID-19 was classified as an epidemic by the World Health ... ...

    Abstract Document Information Language:English Accession Number: WOS:000533783000067 PubMed ID: 32373996

    On February 1, 2020, China announced a novel coronavirus CoVID-19 outbreak to the public. CoVID-19 was classified as an epidemic by the World Health Organization (WHO). Although the disease was discovered and concentrated in Hubei Province, China, it was exported to all of the other Chinese provinces and spread globally. As of this writing, all plans have failed to contain the novel coronavirus disease, and it has continued to spread to the rest of the world. This study aimed to explore and interpret the effect of environmental and metrological variables on the spread of coronavirus disease in 30 provinces in China, as well as to investigate the impact of new China regulations and plans to mitigate further spread of infections. This article forecasts the size of the disease spreading based on time series forecasting. The growing size of CoVID-19 in China for the next 210 days is estimated by predicting the expected confirmed and recovered cases. The results revealed that weather conditions largely influence the spread of coronavirus in most of the Chinese provinces. This study has determined that increasing temperature and short-wave radiation would positively increase the number of confirmed cases, mortality rate, and recovered cases. The findings of this study agree with the results of our previous study.
    Keywords Coronavirus ; Epidemic ; COVID-19 ; Forecasting ; covid19
    Subject code 950
    Language English
    Publisher VERDUCI PUBLISHER, VIA GREGORIO VII, ROME, 186-00165, ITALY
    Publishing country tr
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top