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  1. Article: Analysis of covariance and sample size calculation for comparing means in randomized controlled trials.

    Alimohamadi, Yousef / Sepandi, Mojtaba

    Journal of cardiovascular and thoracic research

    2023  Volume 15, Issue 2, Page(s) 131

    Language English
    Publishing date 2023-06-29
    Publishing country Iran
    Document type Journal Article
    ZDB-ID 2654729-6
    ISSN 2008-6830 ; 2008-5117
    ISSN (online) 2008-6830
    ISSN 2008-5117
    DOI 10.34172/jcvtr.2023.30497
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Comments on: Incidence and treatment outcomes of pulmonary tuberculosis in Islamic Republic of Iran, published in EMHJ Vol. 29 No. 6.

    Alizadeh, Samieh / Alimohamadi, Yousef

    Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit

    2023  Volume 29, Issue 9, Page(s) 757

    Language English
    Publishing date 2023-09-09
    Publishing country Egypt
    Document type Letter
    ZDB-ID 1291071-5
    ISSN 1687-1634 ; 1020-3397
    ISSN (online) 1687-1634
    ISSN 1020-3397
    DOI 10.26719/2023.29.9.757
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Forty-seven year trend of measles in Iran: An interrupted time series analysis.

    Alimohamadi, Yousef / Sepandi, Mojtaba

    Health science reports

    2023  Volume 6, Issue 2, Page(s) e1139

    Abstract: Background and aim: Measles is an acute viral infectious disease usually characterized by erythematous maculopapular rash and sometimes pneumonia, diarrhea, and Central Nervous System disturbance. The current study aimed to describe the trend of measles ...

    Abstract Background and aim: Measles is an acute viral infectious disease usually characterized by erythematous maculopapular rash and sometimes pneumonia, diarrhea, and Central Nervous System disturbance. The current study aimed to describe the trend of measles in Iran before and after the 1978 revolution and COVID-19 pandemic.
    Methods: In the current quasi-experimental study, we used annual data on confirmed cases of measles in Iran, from 1974 to 2021. Data were extracted from the World Health Organization website. An interrupted time series model was used to assess the effect of different events on the incidence of measles.
    Results: The trend of new cases increase every year until 1980 according to the preintervention slope of 2040 (95% confidence interval [CI] = -1965-2045;
    Conclusion: It seems that social or health-related events are among the effective factors on the incidence of measles. But with maintaining vaccination coverage in the community and vaccination of immigrants, this fluctuation in the disease trend can be decreased.
    Language English
    Publishing date 2023-02-24
    Publishing country United States
    Document type Journal Article
    ISSN 2398-8835
    ISSN (online) 2398-8835
    DOI 10.1002/hsr2.1139
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Spatio-temporal analysis of deaths from carbon monoxide poisoning in Iran between 2011 and 2018: An ecological study.

    Alimohamadi, Yousef / Rahimi, Danial / Mehri, Ahmad

    Health science reports

    2024  Volume 7, Issue 1, Page(s) e1785

    Abstract: Background and aims: Mortality caused by carbon monoxide every year threatens the lives of Iranian people, whose spatial and temporal distribution is not known for formulating prevention policies and interventions. This study was conducted to determine ... ...

    Abstract Background and aims: Mortality caused by carbon monoxide every year threatens the lives of Iranian people, whose spatial and temporal distribution is not known for formulating prevention policies and interventions. This study was conducted to determine the trend of mortality rate changes due to carbon monoxide CO poisoning by Spatio-temporal analysis in Iran from 2011 to 2018.
    Methods: An ecological study was conducted based on data from the reports at the National Center for Statistics of Iran for 8 years from 21 March 2011 to 21 March 2018. The number of deaths due to CO poisoning and the annual mortality rates of CO poisoning per 100,000 populations were calculated. To determine the geographical and temporal distribution of death caused by carbon monoxide, spatiotemporal statistical analysis was used.
    Results: A total of 6078 deaths were reported due to CO poisoning 4497 deaths were male (74%) and 1596 were female (26%) from 2011 to 2018. Both sexes' mortality rate due to CO poisoning was 1.26 from 2011 to 0.91 in 2018. According to the results, the overall male-to-female ratio was 2.8. The mortality rate due to CO Poisoning had a decreasing trend. However, this trend did not have a linear trend (
    Conclusion: Our results showed that the mortality rate due to CO poisoning had a decreasing trend during the understudied period. Also, most of the deaths due to CO poisoning occurred in the northern and western provinces of Iran. So, designing prevention programs as well as increasing people's awareness in these regions is recommended.
    Language English
    Publishing date 2024-01-03
    Publishing country United States
    Document type Journal Article
    ISSN 2398-8835
    ISSN (online) 2398-8835
    DOI 10.1002/hsr2.1785
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Effect of epidemic management and control plan on COVID-19 mortality in Iran: an interrupted time series analysis.

    Alimohamadi, Yousef / Sepandi, Mojtaba

    Journal of preventive medicine and hygiene

    2022  Volume 63, Issue 1, Page(s) E125–E129

    Abstract: Background: Globally, several measures have been taken to decrease COVID-19 mortality. However, the effectiveness of preventive measures on the mortality related to COVID-19 has not been fully assessed. Thus, the present study aimed the present study ... ...

    Abstract Background: Globally, several measures have been taken to decrease COVID-19 mortality. However, the effectiveness of preventive measures on the mortality related to COVID-19 has not been fully assessed. Thus, the present study aimed the present study aimed to assess the success of COVID-19 epidemic management and control plan on the mortality associated with COVID-19 in Iran from February 19, 2020, to February 5, 2021.
    Methods: In the current quasi experimental study an interrupted time series analysis of daily collected data on confirmed deaths of COVID-19 occurred in Iran and in the world, were performed using Newey ordinary least squares regression-based methods.
    Results: In Iran, the trend of new deaths increased significantly every day until 24 November 2020 according to pre-intervention slope of [(OR 1.14, 95% CI 0.96-1.32,); P < 0.001]. The occurrence of new deaths had a decreasing trend after November 24, 2020, with a coefficient of [(OR -5.12, 95% CI -6.04 - -4.20), P < 0.001)]. But in the global level daily new deaths was increasing before [(OR 18.66, 95% CI 14.41-2292; P < 0.001)] and after the 24 November 2020 [(OR 57.14, 95% CI 20.80-93.49); P: 0.002].
    Conclusions: Iranian COVID-19 epidemic management and control plan effectively reduced the mortality associated to COVID-19. Therefore, it is essential to continue these measures to prevent the increase in the number of deaths.
    MeSH term(s) COVID-19 ; Epidemics ; Humans ; Interrupted Time Series Analysis ; Iran/epidemiology ; Regression Analysis
    Language English
    Publishing date 2022-04-26
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 1102926-2
    ISSN 2421-4248 ; 1121-2233
    ISSN (online) 2421-4248
    ISSN 1121-2233
    DOI 10.15167/2421-4248/jpmh2022.63.1.2337
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Performance of discrete wavelet transform-based method in the detection of influenza outbreaks in Iran: An ecological study.

    Minaeian, Sara / Alimohamadi, Yousef / Eshrati, Babak / Esmaeilzadeh, Firooz

    Health science reports

    2023  Volume 6, Issue 5, Page(s) e1245

    Abstract: Background and aim: Timely detection of outbreaks is one of the main purposes of the health surveillance system. The presence of appropriate methods in the detection of outbreaks can have an important role in the timely detection of outbreaks. Because ... ...

    Abstract Background and aim: Timely detection of outbreaks is one of the main purposes of the health surveillance system. The presence of appropriate methods in the detection of outbreaks can have an important role in the timely detection of outbreaks. Because of the importance of this issue, this study aimed to assess the performance of discrete wavelet transform (DWT) based methods in detecting influenza outbreaks in Iran from January 2010 to January 2020.
    Methods: All registered influenza-positive virus cases in Iran from January 2010 to January 2010 were obtained from the FluNet web base tool, the World Health Organization website. The combination method that includes DWT and Shewhart control chart was used in this study. All analyses were performed using MATLAB software version 2018a Stata software version 15.
    Results: The Mean ± SD and median of reported influenza cases from January 2010 to January 2020 was 36 ± 108 and four cases per week. The combination of the DWT and Shewhart control chart with
    Conclusion: The DWT-based method in detecting influenza outbreaks has acceptable performance, but it is recommended that this method's performance be assessed in detecting outbreaks of other infectious diseases.
    Language English
    Publishing date 2023-05-03
    Publishing country United States
    Document type Journal Article
    ISSN 2398-8835
    ISSN (online) 2398-8835
    DOI 10.1002/hsr2.1245
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Occupational needle stick injuries and related factors among healthcare workers in military hospitals in Tehran.

    Sepandi, Mojtaba / Alimohamadi, Yousef / Afrashteh, Sima / Rashti, Roya

    Nursing open

    2023  Volume 10, Issue 8, Page(s) 5193–5201

    Abstract: Aim: Healthcare workers (HCWs) are always at risk of experiencing occupational needle stick injuries (NSIs). The primary aim of this study was to assess the prevalence of NSIs among Iranian HCWs in military hospitals in Tehran.: Design: This cross- ... ...

    Abstract Aim: Healthcare workers (HCWs) are always at risk of experiencing occupational needle stick injuries (NSIs). The primary aim of this study was to assess the prevalence of NSIs among Iranian HCWs in military hospitals in Tehran.
    Design: This cross-sectional study was conducted in four military hospitals in the summer of 2019 in Tehran.
    Method: By Census, 802 HCWs were included. Data were collected through a questionnaire consisting of vaccination history, safety equipment, use of safety box, history of NSIs and demographic variables. The logistics regression was used to estimate the odds ratios (OR) and 95% confidence interval (CI). The statistical significance level was set at 5%. The data were analysed using the SPSS software version 23.
    Results: A total of 203 (25.3%, CI: 22.3-28.4) of the participants reported a history of NSIs at least once during the past year. Single HCWs had a higher risk of NSIs compared to married HCWs (OR: 1.59, 95% CI (1.09, 2.30)). Also, the night shift working (OR: 1.91, 95% CI (1.18, 3.12)), higher educational degree (OR: 2.25, 95% CI (1.21, 4.20)), working overtime (OR: 1.50, 95% CI: (1.07, 2.12)), older age (OR: 1.02, 95% CI (1.01, 1.04)) and needle recapping (OR: 2.90, 95% CI: (1.98, 4.22)) were identified as significant associated factors. The study draws attention to a relatively high prevalence of NSIs as well as high-risk activities among military HCWs. The primary source of NSIs is needle recapping. Measures such as setting up training courses for the military HCWs are needed to be planned.
    MeSH term(s) United States ; Humans ; Hospitals, Military ; Needlestick Injuries/epidemiology ; Cross-Sectional Studies ; Iran/epidemiology ; Health Personnel ; Occupational Injuries/epidemiology
    Language English
    Publishing date 2023-04-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2809556-X
    ISSN 2054-1058 ; 2054-1058
    ISSN (online) 2054-1058
    ISSN 2054-1058
    DOI 10.1002/nop2.1755
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Performance of discrete wavelet transform‐based method in the detection of influenza outbreaks in Iran

    Sara Minaeian / Yousef Alimohamadi / Babak Eshrati / Firooz Esmaeilzadeh

    Health Science Reports, Vol 6, Iss 5, Pp n/a-n/a (2023)

    An ecological study

    2023  

    Abstract: Abstract Background and Aim Timely detection of outbreaks is one of the main purposes of the health surveillance system. The presence of appropriate methods in the detection of outbreaks can have an important role in the timely detection of outbreaks. ... ...

    Abstract Abstract Background and Aim Timely detection of outbreaks is one of the main purposes of the health surveillance system. The presence of appropriate methods in the detection of outbreaks can have an important role in the timely detection of outbreaks. Because of the importance of this issue, this study aimed to assess the performance of discrete wavelet transform (DWT) based methods in detecting influenza outbreaks in Iran from January 2010 to January 2020. Methods All registered influenza‐positive virus cases in Iran from January 2010 to January 2010 were obtained from the FluNet web base tool, the World Health Organization website. The combination method that includes DWT and Shewhart control chart was used in this study. All analyses were performed using MATLAB software version 2018a Stata software version 15. Results The Mean ± SD and median of reported influenza cases from January 2010 to January 2020 was 36 ± 108 and four cases per week. The combination of the DWT and Shewhart control chart with K = 0.25 had the most sensitivity. The most specificity in the detection of nonoutbreak days was seen in the combination of DWT and Shewhart control chart with K = 1.5, K = 1.75, and K = 2, respectively. The combination of DWT and Shewhart control chart with K = 0.5 had the best performance in the detection of outbreaks (sensitivity = 0.64, specificity: 0.90, Youden index: 0.54, and area under the curve [AUC]: 0.77). Conclusion The DWT‐based method in detecting influenza outbreaks has acceptable performance, but it is recommended that this method's performance be assessed in detecting outbreaks of other infectious diseases.
    Keywords DWT ; influenza ; Iran ; outbreaks ; performance ; Medicine ; R
    Subject code 630
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Is single point HbA1c a reliable predictor for death in severe COVID-19?

    Hosamirudsari, Hadiseh / Alimohamadi, Yousef / Akrami, Majid / Zahra, Mahak / Faraji, Neda

    Journal of preventive medicine and hygiene

    2023  Volume 64, Issue 3, Page(s) E298–E303

    Abstract: Introduction: The severity of COVID-19 infection is affected by several risk factors such as Diabetes Mellitus (DM). The current study aimed to determine the effect of single-point HbA1c on the severity and mortality of hospitalized COVID-19 patients.!## ...

    Abstract Introduction: The severity of COVID-19 infection is affected by several risk factors such as Diabetes Mellitus (DM). The current study aimed to determine the effect of single-point HbA1c on the severity and mortality of hospitalized COVID-19 patients.
    Methods: This cross-sectional study was conducted among hospitalized moderate and severe COVID-19 patients in Baharloo Hospital in Iran between December 23
    Results: 165 COVID-19 cases were included in this study; 126 (76.4%) of which were severe cases. 89 (53.9%) patients were male, with a mean age of 59.89 ± 16.59 years. Severe COVID-19 patients were more prone to a longer hospital stay, and a higher level of inflammatory mediators, compared to the moderate COVID-19 patients (p < 0.05). No significant association was found between single point HbA1c, FBS, and severity and mortality of COVID-19 cases (p > 0.05).
    Conclusions: Single point HbA1c was not a reliable mediator for the prediction of severity or death in hospitalized COVID-19 patients.
    MeSH term(s) Humans ; Male ; Adult ; Middle Aged ; Aged ; Female ; COVID-19 ; Glycated Hemoglobin ; SARS-CoV-2 ; Cross-Sectional Studies ; Diabetes Mellitus/epidemiology
    Chemical Substances Glycated Hemoglobin
    Language English
    Publishing date 2023-11-01
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 1102926-2
    ISSN 2421-4248 ; 1121-2233
    ISSN (online) 2421-4248
    ISSN 1121-2233
    DOI 10.15167/2421-4248/jpmh2023.64.3.3032
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Global COVID-19 vaccine acceptance rate: a systematic review and meta-analysis.

    Alimohamadi, Yousef / Hosamirudsari, Hadiseh / Hesari, Elahe / Sepandi, Mojtaba

    Zeitschrift fur Gesundheitswissenschaften = Journal of public health

    2022  , Page(s) 1–13

    Abstract: Aim: Achieving high COVID-19 vaccination coverage rates is essential as soon as a vaccine is available to deal with and end this pandemic. Due to the different amounts of COVID-19 vaccine acceptance rates in different regions, the pooled estimation of ... ...

    Abstract Aim: Achieving high COVID-19 vaccination coverage rates is essential as soon as a vaccine is available to deal with and end this pandemic. Due to the different amounts of COVID-19 vaccine acceptance rates in different regions, the pooled estimation of this rate is essential. Therefore, we conducted a systematic review and meta-analysis to investigate worldwide COVID-19 vaccine acceptance rates.
    Subject and methods: International databases (including, Web of sciences, PubMed, and Scopus) were searched to identify related studies. The heterogeneity among studies was assessed using the I
    Results: The overall pooled estimate of COVID-19 vaccine acceptance rate was 65.1 (95% CI 60.1-70.1;
    Conclusion: COVID-19 vaccine acceptance rate among HCWs is lower than the general population. More studies are recommended to identify related factors to the COVID-19 vaccine acceptance rate.
    Language English
    Publishing date 2022-09-26
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 1149070-6
    ISSN 2198-1833 ; 0943-1853
    ISSN 2198-1833 ; 0943-1853
    DOI 10.1007/s10389-022-01757-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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