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| 1 | NS1 antigen: A new beam of light in the early diagnosis of dengue infection显示文摘Objective: To evaluate NS1 antigen detection ELISA for the early laboratory diagnosis of dengue virus infection. Methods: The present study was conducted to evaluate the overall positivity of NS1 antigen detection ELISA and its comparison with viral RNA detection via real time PCR and Ig M antibodies detection by ELISA. Results: A total of 1 270 serum samples were tested 86%(1 097/1 270) were detected positive by one or more than one diagnostic test. Out of 1 270, 64%(807/1 270) were positive by NS1 ELISA and 52%(662/1 270), 51%(646/1 270) were positive by real-time RT-PCR and Ig M ELISA respectively.Conclusions: NS1 antigen detection ELISA is highly suitable diagnostic tools and it also has great value for use in outbreak and epidemic situation. | Muhammad Suleman Rani Faryal Muhammad Masroor Alam Salmaan Sharif Shahzad Shaukat Uzma Bashir Aamir Adnan Khurshid Mehar Angez Massab Umair Mian Muhammad Sufian Yasir Arshad Ghulam Mujtaba Syed Sohail Zahoor Zaidi | 2016 | Asian Pacific Journal of Tropical Medicine2016，9，12： | 6 |
| 2 | Prevalence and Molecular Characterization of Dengue Viruses Serotypes in 2010 Epidemic显示文摘 | Nasir Mahmood Muhammad Younus Rana Zafar Qureshi Ghulam Mujtaba Uzma Shaukat | 2012 | The American Journal of the Medical Sciences2012，，1： | 1 |
| 3 | 减施基肥和除草剂对四川冬小麦产量及氮肥利用效率的影响显示文摘【目的】探明减施氮肥和除草剂氯氟吡氧乙酸对四川冬小麦产量和氮肥利用率的影响,为四川地区小麦氮肥和除草剂的合理施用提供依据。【方法】在四川梓潼和江油以绵麦367、西科麦18为材料开展田间试验,采用正交试验分析不同施氮量与施药量对小麦产量及产量性状的影响。【结果】氮肥施用量减施17%,即施用259.7 kg/hm^(2)对小麦产量无显著影响;除草剂在推荐使用剂量内降低30%与激健助剂配施,小麦产量保持稳定。经变异分析,有效穗数稳定增加能提高小麦产量,且小麦的穗粒数和有效穗数与理论产量呈显著正相关关系。除草剂的减施对氮肥偏生产力、氮肥农学利用率影响较小;氮肥施用量减施17%,小麦氮肥偏生产力和氮肥农学利用率均高于常规对照。【结论】氮肥减施17%,除草剂减施30%和激健助剂共同作用下,小麦产量保持稳定,氮肥和除草剂的高效利用能够提高小麦产量。 | 任梦星 王福楷 张洪 KALHORO Muhammad Talib KALHORO Ghulam Mujtaba 蒋欣东 周聪颖 康晓慧 | 2021 | 贵州农业科学2021，49，8： | 1 |
| 4 | Multi-Modality and Feature Fusion-Based COVID-19 Detection Through Long Short-Term Memory显示文摘The Coronavirus Disease 2019(COVID-19)pandemic poses the worldwide challenges surpassing the boundaries of country,religion,race,and economy.The current benchmark method for the detection of COVID-19 is the reverse transcription polymerase chain reaction(RT-PCR)testing.Nevertheless,this testing method is accurate enough for the diagnosis of COVID-19.However,it is time-consuming,expensive,expert-dependent,and violates social distancing.In this paper,this research proposed an effective multimodality-based and feature fusion-based(MMFF)COVID-19 detection technique through deep neural networks.In multi-modality,we have utilized the cough samples,breathe samples and sound samples of healthy as well as COVID-19 patients from publicly available COSWARA dataset.Extensive set of experimental analyses were performed to evaluate the performance of our proposed approach.Several useful features were extracted from the aforementioned modalities that were then fed as an input to long short-term memory recurrent neural network algorithms for the classification purpose.Extensive set of experimental analyses were performed to evaluate the performance of our proposed approach.The experimental results showed that our proposed approach outperformed compared to four baseline approaches published recently.We believe that our proposed technique will assists potential users to diagnose the COVID-19 without the intervention of any expert in minimum amount of time. | Noureen Fatima Rashid Jahangir Ghulam Mujtaba Adnan Akhunzada Zahid Hussain Shaikh Faiza Qureshi | 2022 | Computers, Materials & Continua2022，，9： | 0 |
| 5 | Dengue outbreak in Swat and Mansehra,Pakistan 2013;an epidemiological and diagnostic perspective显示文摘Objective:To High light some epidemiological,clinical and diagnostic features of dengue fever during an outbreak and the role of different diagnostic techniques to achieve the highest level of accuracy in results.Methods:Blood samples(n=323) were collected along with epidemiological and clinical data from suspected dengue patients who visited different hospitals in Swat and Mansehra district of Pakistan between May-November 2013 during a dengue outbreak.Samples were tested for the detection of viral nucleic acid by real-lime PCR.non structural protein-1(NS1antigen and IgM antibodies by ELISA.Results:Out of 323 cases with clinical dengue infection,304 were positive by one or more diagnostic parameter:201 samples were positive by real-time PCR,209 were positive by NS1 ELISA and 190 were positive by IgM antibodies.Sensitivities of real-time PCR and NS1 F.LISA were comparable for early diagnosis of dengue virus infection.IgM antibody detection assay was found useful for the diagnosis in the samples collected later than day 5 of onset.Conclusions:The use of real-lime PCR or detection of non stnictural protein NS 1 by ELISA followed by IgM antibodies detection can be recommended for early diagnosis of dengue virus infection with a high level of accuracy. | Muhammad Suleman Rani Faryal Uzma Bashir Aamir Muhammad Masroor Alam Nadia Nisar Salmaan Sharif Shahzad Shaukat Adnan Khurshid Mehar Angez Massab Umair Ghulam Mujtaba Mian Muhammad Sufian Yasir Arshad Lubna Rehman Syed Sohail Zahoor Zaidi | 2016 | Asian Pacific Journal of Tropical Medicine2016，9，4： | 0 |
| 6 | Preliminary Seroepidemiological survey of dengue infections in Pakistan,2009-2014显示文摘Background:Dengue virus is the causative agent of dengue fever,a vector borne infection which causes selflimiting to life threatening disease in humans.A sero-epidemiological study was conducted to understand the current epidemiology of dengue virus in Pakistan which is now known as a dengue endemic country after its first reported outbreak in 1994.Methods:To investigate the prevalence of dengue virus in Pakistan during 2009-2014,a total of 9,493 blood samples were screened for the detection of anti-dengue IgM antibodies using ELISA.Clinical and demographic features available with hospital records were reviewed to ascertain mortalities related to dengue hemorrhagic shock syndrome.Results:Out of 9,493 samples tested,37%(3,504)were found positive for anti-dengue IgM antibodies.Of the seropositive cases,73.6%(2,578/3,504)were male and 26.4%(926/3,504)were female.The highest number(382/929;41.1%)of sero-positive cases was observed among the individuals of age group 31-40 years.The highest number of symptomatic cases was reported in October(46%;4,400/9,493),and the highest number of sero-positive cases among symptomatic cases was observed in November(45.7%;806/1,764).Mean annual patient incidence(MAPI)during 2009-2014 in Pakistan remained 0.30 with the highest annual patient incidence(11.03)found in Islamabad.According to the available medical case record,472 dengue related deaths were reported during 2009-2014.Conclusion:The data from earlier reports in Pakistan described the dengue virus incidence from limited areas of the country.Our findings are important considering the testing of clinical samples at a larger scale covering patients of vast geographical regions and warrants timely implementation of dengue vector surveillance and control programs.Trial registration number:It is an epidemiological research study,so trial registration is not required. | Muhammad Suleman Hyeong-Woo Lee Syed Sohail Zahoor Zaidi Muhammad Masroor Alam Nadia Nisar Uzma Bashir Aamir Salmaan Sharif Shahzad Shaukat Adnan Khurshid Mehar Angez Massab Umair Ghulam Mujtaba Rani Faryal | 2017 | Infectious Diseases of Poverty2017，6，1： | 0 |
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