1. Eissa, M.E., E.R. Rashed and D.E. Eissa, 2023. Microbiological stability assessment of municipal distribution line using control chart approach for total bioburden count. Health Acad. Kastamonu, 8: 363-383.
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2. Eissa, M.E., E.R. Rashed and D.E. Eissa, 2023. Measuring public health effect of Coronavirus disease 2019: A novel perspective in healthcare in pandemic times. Med. J. West. Black Sea, 7: 266-268.
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3. Eissa, M.E., E.R. Rashed and D.E. Eissa, 2023. Development of high throughput rapid turbidimetric assay for potency determination of gramicidin. Acta Nat. Sci., 4: 47-57.
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4. Eissa, M.E., 2023. Time-bound investigational text analysis of predatory E-mails using pareto principle. Trends Scholarly Publ., 2: 1-8.
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5. Eissa, M.E., 2023. Studies on morbidities and mortalities from COVID-19: Novel public health practice during pandemic periods. Asian J. Appl. Sci., 16: 84-94.
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6. Eissa, M.E., 2023. Sentiment analysis of a translated text of the Qur’ān using the pareto principle. Islamic Stud., 62: 379-402.
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7. Eissa, M.E. and E.R. Rashed, 2023. Descriptive epidemiological study of coronavirus disease distribution in specific geographic location: Unique public health practice in outbreak analysis. Turk. J. Public Health, 21: 144-151.
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8. Eissa, M.E. and E.R. Rashed, 2023. Analysis and modeling of morbidity and mortality from coronavirus outbreak in Brazil: A case study of public health challenge using unique statistical tools. J Health Sci. Res., 8: 57-61.
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9. Eissa, M., E.R. Rashed and D.E. Eissa, 2023. Predatory e-mails management through analysis of non-academic scientist account: International challenge in scientific publishing. Int. J. Manage. Acad., 6: 566-580.
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10. Eissa, M.E., E.R. Rashed and D.E. Eissa, 2022. COVID-19 kinetics based on reported daily incidence in highly devastated geographical region: A unique analysis approach of epidemic. Univers. J. Pharm. Res., 7: 58-62.
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11. Eissa, M., 2022. Modeling of COVID-19 major outbreak wave through statistical software: Quantitative risk evaluation and description analysis. ESTUDAM Public Health J., 7: 145-161.
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12. Eissa, D.E., E.R. Rashed and M.E. Eissa, 2022. Validation of microbiological assay design of neomycin sulfate in 30 30 cm rectangular antibiotica plate. J. Adv. Biomed. Pharm. Sci., 5: 54-63.
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13. Eissa, M.E., E.R. Rashed and D.E. Eissa, 2021. Microbiological antibiotic assay validation of gentamicin sulfate using two-dose parallel line model (PLM). HighTech Innovation J., 2: 306-319.
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14. Eissa, M.E., E.R. Rashed and D.E. Eissa, 2021. Implementation of modified Q-control chart in monitoring of inspection characteristics with finite quantification sensitivity limits: A case study of bioburden enumeration in capsule shell. El-Cezeri, 8: 1093-1107.
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15. Eissa, M.E., 2021. Unique quantitative analysis of tsunami waves using statistical software: a case study of the major recorded hawaii incidents. Adv. Mater. Proc., 10.5185/amp.2021.010419.
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16. Eissa, M., E.R. Rashed and D. Eissa, 2021. Validation of symmetrical two-dose parallel line assay model for nystatin potency determination in pharmaceutical product. J. Adv. Pharm. Res., Vol. 5. 10.21608/aprh.2021.86555.1138.
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17. Eissa, M., E. Rashed and D.E. Eissa, 2021. Study of tellurium-129m (^129mTe) ground deposition following fukushima nuclear disaster: Descriptive analysis of unscear database using statistical process techniques. Mugla J. Sci. Technol., 7: 67-72.
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18. Eissa, M., 2021. Statistical comparison of parallel-line symmetrical microbiological models: Analysis of agar diffusion assay in 88 large rectangular plates. J. Stat. Appl. Sci., 2: 48-64.
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19. Rashed, E.R. and M.E. Eissa, 2020. Unique descriptive analysis approach of ebola outbreak from WHO database using statistical process control. Singapore J. Sci. Res., 10: 336-341.
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20. Eiss, M.E. and E.R. Ras, 2020. Inventory digital management using statistical process control analysis in healthcare industry. J. Bus. Digital Age, 10.46238/jobda.688641.
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21. Mostafa, Eissa., 2019. A long-term impact study of bacterial outbreak using control chart-risk assessment combination. WorldWide Med., 10.5455/ww.48101.
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22. Mostafa, E., 2019. Application of control charts for non-normally distributed data using statistical software program: A technical case study. World J. Adv. Res. Rev., 1: 39-48.
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23. Mostafa, E., 2019. Antimicrobial resistant superbug warning watch: A newly emerged Klebsiella pneumonia and Mycoplasma genitalium joining the group. World J. Adv. Res. Rev., 2: 17-18.
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24. Essam, M., 2019. I-MR control chart in pharmaceutical industry and the comparison with laney-modified attribute chart: Case study. PHARMA Focus Asia, .
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25. Eissa, M.E.A.M., 2019. Trichinosis outbreak risk analysis in usa from food sources and new prospective analysis using statistical process control tools. Int. J. Res. Pharm. Biosci., 6: 4-13.
26. Eissa, M.E.A.M., 2019. Statistical process control research of toxicological outbreaks in USA: An opinion from long-term web-based trending for selected cases. MOJ Toxicol., 5: 73-76.
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27. Eissa, M.E.A.M., 2019. Statistical analysis review and lessons learned from recent outbreak trends of highest population density states in USA: Massachusetts, New Jersey and Rhode Island. J. Food Chem. Nanotechnol., 5: 8-19.
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28. Eissa, M.E.A.M., 2019. Long-term monitoring of giardia as an etiological agent for food-borne outbreaks in USA: A brief report. Open J. Nutr. Food Sci., 1: 10-13.
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29. Eissa, M.E.A.M., 2019. A long-term impact study of bacterial outbreak using control chart-risk assessment combination. Worldwide Med., 1: 117-122.
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30. Eissa, M.E.A., 2019. Trend analysis of adverse drug reaction for influenza virus (h1n1: A/california/7/2009) vaccines: An internet-based brief assessment in eu. J. Pharm. Adv. Res., 2: 557-560.
31. Eissa, M.E.A., 2019. Management motivational role and support for pharmacists in healthcare field. i-Manager's J. Manage., 13: 1-4.
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32. Eissa, M.E.A., 2019. Extended application of statistical process control-quantitative risk assessment techniques to monitor surgical site infection rates. Int. Med., 1: 225-230.
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33. Eissa, M.E., 2019. Use of control charts as a quality control tool for monitoring of microbiological infection risk during surgery: An expository case. Clin. J. Surg., 2: 1-3.
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34. Eissa, M.E., 2019. Monitoring of Cryptosporidium spp. outbreaks using statistical process control tools and quantitative risk analysis based on nors long-term trending. Microbiol. J., 9: 1-7.
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35. Eissa, M.E., 2019. Drug recall monitoring and trend analysis: A multidimensional study. Global J. Qual. Saf. Healthcare, 2: 34-39.
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36. Eissa, M.E., 2019. Application of control charts in monitoring of surgical site infection trending records using statistical software. Asian J. Applied Sci., 12: 76-84.
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37. Eissa, M., 2019. The attribute control charts for outbreak trends of selected states in the USA: A brief report of the insight into the pattern. Int. Med., 1: 11-14.
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38. Eissa, M., 2019. Extended application of statistical process control-quantitative risk assessment techniques to monitor surgical site infection rates. Int. Med., 10.5455/im.47174.
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39. Eissa, M., 2019. Avian schistosomes impact on public health: A long-term disease observation. Ann. Med. Res., 26: 1723-1724.
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40. Eissa, E.M., 2019. Application of statistical process control on analysis of surgery-related infection record: An extended study of three selected countries using statistical software. Curr. Trends Pharm. Res., 6: 18-36.
41. Eissa, A.E.M., 2019. The use failure mode and effects analysis as quantitative risk analysis tool. J. Applied Sci., 1: 1-7.
42. Eissa, M.E.A.M., 2018. Role of statistical process control of pharmaceutical product to monitor consistency of the manufacturing operation. EC Pharmacol. Toxicol., 6: 439-444.
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43. Eissa, M.E.A.M., 2018. Quality criteria establishment for dissolution of ascorbic acid from sustained release pellets. Nov. Tech. Nutr. Food Sci., Vol. 2. 10.31031/NTNF.2018.02.000531.
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44. Eissa, M.E.A.M., 2018. Long march to live on mars: Medication and physiological challenges. EC Pharmacol. Toxicol., 6: 590-593.
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45. Eissa, M.E.A.M., 2018. Conventional culture media: An outdated microbiological tool but still useful. Int. J. Drug. Disc., Vol. 2. .
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46. Eissa, M.E.A., 2018. Minimization of microbial infection risk from surgery. Open J. Surg., 1: 20-23.
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47. Eissa, M.E.A., 2018. Microbiological quality of purified water assessment using two different trending approaches: A case study. Sumerianz J. Scient. Res., 1: 75-79.
48. Eissa, M.E.A., 2018. Integration between risk assessment and simulation programs to optimize the evaluation of microbiological quality and safety in food Industry. J. Food Chem. Technol., 4: 63-64.
49. Eissa, M.E.A, 2018. Message. Universal J. Pharm. Res., Vol. 3. .
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50. Eissa, M.E., 2018. Variable and attribute control charts in trend analysis of active pharmaceutical components: Process efficiency monitoring and comparative study. Exp. Med., 1: 31-44.
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51. Eissa, M.E., 2018. Statistical process control and quantitative microbiological risk assessment combination in healthcare industry. Global J. Biomed Sci., 2: 14-17.
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52. Eissa, M.E., 2018. Quantitative microbiological risk assessment: Underrated tool in process improvement in food microbiology. J. Food Sci. Hyg., 1: 12-15.
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53. Eissa, M.E., 2018. Mobility of antibiotic resistance through pharmaceutical products: A microbiological prospective risk. Asian J. Biol. Sci., 11: 98-101.
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54. Eissa, M.E., 2018. Investigation of microbiological quality of water from the feed source to the terminal application in the healthcare facility: A case study. Health Res., 2: 16-23.
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55. Eissa, M.E., 2018. Application of attribute control chart in the monitoring of the physical properties of solid dosage forms. J. Progressive Res. Mod. Phys. Chem., 3: 104-113.
56. Eissa, M.E., 2018. Adulterated pharmaceutical product detection using statistical process control. Bangladesh Pharm. J., 21: 7-15.
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57. Eissa, M.E. and A.M. Abid, 2018. Application of statistical process control for spotting compliance to good pharmaceutical practice. Braz. J. Pharm. Sci., Vol. 54. 10.1590/s2175-97902018000217499.
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58. Eissa, M., 2018. Investigation of outbreaks records and contributing conditions in unites states. South East Asia J. Med. Sci., 2: 1-2.
59. Eissa, M., 2018. Evaluation of microbiological purified water trend using two types of control chart. Eur. Pharm. Rev., 23: 36-38.
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60. Eissa, M.E., 2017. Validation of microbial recovery of pharmaceutically important gram-negative bacteria from peroxygen/silver-based disinfectants and evaluation of their degree of corrosiveness. Food Pharm. Int., 1: 41-58.
61. Eissa, M.E., 2017. Risk of infection from application of two types of pharmaceutical creams. Eur. Med. Health Pharm. J., 10: 1-4.
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62. Eissa, M., 2017. Archaea: Underestimated domain in pharmaceutical quality control. Kathmandu Univ. J. Sci. Eng. Technol., 13: 98-102.
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63. Eissa, M.E., A.M. Mahmoud and A.S. Nouby, 2016. Statistical Process Control in the Evaluation of Microbiological Surface Cleanliness Quality and Spotting the Defects in Clean Area of Pharmaceutical Manufacturing Facility. Haya Saudi J. Life Sci., 1: 1-17.
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64. Eissa, M.E., A.M. Mahmoud and A.S. Nouby, 2016. Active versus passive microbiological air sampling risk assessment: relation and comparative study in pharmaceutical industry. Res. Rev.: J. Pharm. Sci., 7: 13-27.
65. Eissa, M.E., 2016. Study of parameters affecting infection risk from contaminated injectable products using multiple spot contamination model: a case study of insulin vials. J. Chin. Pharm. Sci., 25: 799-804.
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66. Eissa, M.E., 2016. Study of Microbial Distribution from Different Processing Stages in Purified Water Production Plant of Pharmaceutical Manufacturing Facility. Res. Rev. J. Microbiol. Virol., 6: 31-45.
67. Eissa, M.E., 2016. Shewhart control chart in microbiological quality control of purified water and its use in quantitative risk evaluation. Pharm. Biosci. J., 4: 45-51.
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68. Eissa, M.E., 2016. Quantitative microbial risk assessment of pharmaceutical products. PDA J. Pharm. Sci. Technol., 71: 245-251.
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69. Eissa, M.E., 2016. Quantitative Microbial Risk Assessment of Pharmaceutical Products. PDA J. Pharm. Sci. Technol., 10.5731/pdajpst.2016.007047.
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70. Eissa, M.E., 2016. Pharmacognosy: promising treatment but poor industrialization in the developing countries. Niger. J. Exp. Clin. Biosci., .
71. Eissa, M.E., 2016. Novel rapid method in ecological risk assessment of air-borne bacteria in pharmaceutical facility. Mahidol Univ. J. Pharm. Sci., 43: 115-126.
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72. Eissa, M.E., 2016. Novel approach to the assessment of preservation effect for oral Liquid pharmaceutical products. Panacea J. Pharm. Pharma. Sci., 5: 17-31.
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73. Eissa, M.E., 2016. Microbiological Assessment of Compressed Air in The Pharmaceutical Industry: Statistical Process Control. J. Appl. Pharma. Sci., .
74. Eissa, M.E., 2016. Limitations of the current chemical neutralization tests for assessment of microbial recovery from antimicrobials: A new prospective approach. Int. J. Microbiol. Allied Sci., 2: 1-5.
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75. Eissa, M.E., 2016. Extended Application Of Dose-Response Models Of Infection On Injectable Insulin Products In Vials. Russ. Open Med. J., 5: 1-6.
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76. Eissa, M.E., 2016. Existence of life at extreme hostile environment: an introduction to the world of super organisms. Eur. Pharm. Rev. Microbiol. Ser., .
77. Eissa, M.E., 2016. Distribution of bacterial contamination in non-sterile pharmaceutical materials and assessment of its risk to the health of the final consumers quantitatively. Beni-Suef Univ. J. Basic Appl. Sci., 5: 217-230.
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78. Eissa, M.E., 2016. Determination of the Microbiological Quality of Feed City Water to Pharmaceutical Facility: Distribution Study and Statistical Analysis. Athens J. Sci., .
79. Eissa, M.E., 2016. Assessment for sporicidal activity of two types of peroxygen/silver-based disinfectants: A comparative study. J. Pharm. Technol. Res. Manage. .
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80. Eissa, M.E., 2016. Application of dose response model for infection on selected case of oral mouth wash product. Trends Pharma. Sci., 2: 177-180.
81. Eissa, M.E., 2016. Application of Control Charts in Quality Characteristics Evaluation of Microbiological Media. J. Adv. Res. Pharm. Sci. Pharmacol. Interv., .
82. Eissa, M.E., 2016. Application Of Dose-Response Model Of Infection In The Risk Assessment For Contamination Health-Hazard From Pharmaceutical Dosage Forms. Pharmawave, .
83. Eissa, M.E., 2016. A novel approach in assessing the antimicrobial efficacy of eye drop products. Eur. Pharma. Rev. Microbiol. Ser., 21: 40-43.
84. Eissa, M.E., 2016. A Critical review on need for holistic preservation efficacy test for pharmaceuticals. Innovational J. Qual. Assur. Pharma, Anal., 2: 122-125.
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85. Eissa, M.E. and A.S. Nouby, 2016. Recovery of Gram-Positive Cocci and Candida albicans from Peroxygen/Silver-Based Disinfectants. Pol. J. Microbiol., 65: 13-21.
86. Eissa, M.E. and A.M. Abdoh, 2016. Evaluation of quality characteristics and process stability for pharmaceutical dosage form using attribute control charts. Int. J. Adv. Med. Sci., 1: 9-15.
87. Eissa, M. and A. Mahmoud, 2016. Evaluation of microbial recovery from raw materials for pharmaceutical use. J. Food Pharm. Sci., 4: 6-11.
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88. Eissa, M.E., A.M. Mahmoud, A.S. Nouby and M.S. Farag, 2015. A case of rapidly declining contamination of antimalarial tablet by Stenotrophomonas maltophilia. Sch. Acad. J. Pharm., 4: 347-350.
89. Eissa, M.E., A.M. Mahmoud and A.S. Nouby, 2015. Evaluation and failure risk of microbiological air quality in production area of pharmaceutical plant. RGUHS J. Pharmaceut. Sci., 5: 155-166.
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90. Eissa, M.E., A.M. Mahmoud and A.S. Nouby, 2015. Control chart in microbiological cleaning efficacy of pharmaceutical facility. Dhaka Univ. J. Pharm. Sci., 14: 133-138.
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91. Eissa, M.E., 2015. Use of RMMs in quality control: Challenges and benefits. European pharmaceutical review. Microbiol. In-Depth Focus, 20: 8-10.
92. Eissa, M.E., 2015. Burkholderia cepacia growth in preserved pharmaceutical antihistaminic oral suspension. Int. J. Pharm. Pharmaceut. Sci., 8: 664-666.
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93. Eissa, M.E. and A.S. Nouby, 2015. Assessment of the risk in pharmaceutical facility to the human health based on the ecological surface quality of bacteria in the clean area. J. Innovat. Pharmaceut. Biol. Sci., 2: 608-619.
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94. Eissa, M.E. and A.M. Mahmoud, 2015. Assessment of modified preservation formulae after optimizing preliminary neutralization evaluation study. Int. J. Multidiscip. Res. Stud. Devel., 1: 46-52.
95. Eissa, M., M. Seif and M. Fares, 2015. Assessment of purified water quality in pharmaceutical facility using six sigma tools. Int. J. Qual. Assur., Vol. 6. .
96. Eissa, M., 2015. Diversity of bacteria in pharmaceutical water: Significance and impact on quality: European pharmaceutical review. Microbiol. In-Depth Focus, 20: 54-57.
97. Eissa, M. and A. Mahmoud, 2015. Establishment of methods for microbial recovery: miscellaneous non-sterile pharmaceutical dosage forms (Study I). Eur. J. Biomed. Pharm. Sci., 2: 1273-1281.
98. Eissa, M. and A. Mahmoud, 2015. Establishment of method for bioburden recovery: Non-antibiotic oral tablets (Study II). World J. Pharm. Res., 4: 234-243.
99. Eissa, M. and A. Mahmoud, 2015. Development of methods for microbial recovery: pharmaceutical dosage forms including drugs with antimicrobial properties (Study III). Eur. J. Pharm. Med. Res., 2: 537-549.
100. Eissa, M.E., M.S. Ashour and M.S. Mansy, 2014. Study of antimicrobial power of amphoteric disinfectants of Tego series used in pharmaceutical industry. Egypt. Acad. J. Biol. Sci., 6: 17-27.
101. Eissa, M.E., M.A. El Naby and M.M. Beshir, 2014. Bacterial vs. fungal spore resistance to peroxygen biocide on inanimate surfaces. Bull. Faculty Pharm. Cairo Univ., 52: 219-224.
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102. Eissa, M.E., 2014. Assessment of antimicrobial activity of novel disinfectant based on peroxygen/biguanide/alcohol combination. Indonesian J. Pharm., 25: 153-163.
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103. Eissa, M.E. and A.S. Nouby, 2014. Validation of Spore-forming organisms recovery from Peroxygen-based disinfectants. J. Pharm. Res. Clin. Pract., 4: 23-32.
104. Eissa, M.E., M.S. Ashour and M.S. Mansy, 2013. Impact of synthetic detergent on sporicidal activity in pharmaceutical facility. Egypt. Acad. J. Biol. Sci., 5: 43-50.
105. Eissa, M.E., M.S. Ashour and M.S. Mansy, 2012. Neutralizer evaluation study of some microbial isolates against two strong disinfectants with and without the presence of synthetic detergent. World Appl. Sci. J., 20: 823-831.
106. Eissa, M.E. and A.M. Mahmoud, 2012. A novel improved bioburden recovery method using swabbing technique. Int. J. Microbiol. Res., 3: 208-215.
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107. Ashour, M.S., M.S. Mansy and M.E. Eissa, 2011. Microbiological environmental monitoring in pharmaceutical facility. Egypt. Acad. J. Biol. Sci., 3: 63-74.
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