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1.
Malaysian Journal of Medicine and Health Sciences ; : 25-29, 2020.
Article in English | WPRIM | ID: wpr-876844

ABSTRACT

@#Introduction: Malaria is devastating infectious disease not only India but also throughout the globe due to its high morbidity and mortality factor for last few centuries. From 19th and early 20th centuries, almost a quarter of the Indian populations were severely suffering from malaria. The economic loss due to increased mortality in malaria was estimated 10 million rupees per year in 1935. According to the World Malaria Report of 2017, malaria incidence accounted for 58% of cases in India. The objective of this study is to prediction of “annual” malaria incidences in India, depending on the basis of last 22 years national malaria epidemiology data. Methods: This study uses data from the official website of the National Program for the Control of Vector borne Diseases (NVBDCP) (http://nvbdcp. gov.in/) from 1995 to 2016. For creating a forecasting tool on Malaria surveillance in India, Econometric forecasting model (ARIMA Model ((0,1,1) (1,0,0) 12)) was used. Results: ARIMA statistical model ((0,1,1) (1,0,0) 12) found to be highly effective and significant (P < 0.05) in prediction of future epidemiological surveillance of malaria in India. ARIMA statistical model could be successfully use in prediction of annual malaria incidences in India after adjusting different highly contributing environmental and geographical factors, such as climate change, temperature, rainfall, and relative humidity. Conclusion: The historical forecast of the occurrence of malaria in India will allow the government to improve planning, control and prevention through public health interventions. In addition, the pharmaceutical industry will assist medical members in pre-treatment and drug interventions to respond to the increased or decreased occurrence of malaria.

2.
Asian Pacific Journal of Tropical Biomedicine ; (12): 482-487, 2011.
Article in English | WPRIM | ID: wpr-303635

ABSTRACT

<p><b>OBJECTIVE</b>To evaluate the free radical generation and antioxidant enzymes status in murine peritoneal macrophage during in vitro amikacin resistant Pseudomonas aeruginosa (ARPA) treatment with different time interval.</p><p><b>METHODS</b>Peritoneal macrophages were treated with 1×10(8) CFU/mL ARPA cell suspension in vitro for different time interval (1, 2, 3, 6, 12, and 24 h) and super oxide anion generation, NO generation, reduced glutathione level and antioxidant enzymes status were analyzed.</p><p><b>RESULTS</b>Super oxide anion generation and NO generation got peak at 12 h, indicating maximal free radical generation through activation of NADPH oxidase in murine peritoneal macrophages during ARPA transfection. Reduced glutathione level and antioxidant enzymes status were decreased significantly (P<0.05) with increasing time of ARPA transfection. All the changes in peritoneal macrophages after 12 h in vitro ARPA transfection had significant difference (P<0.05).</p><p><b>CONCLUSIONS</b>From this study, it may be summarized that in vitro ARPA infection not only generates excess free radical but also affects the antioxidant system and glutathione cycle in murine peritoneal macrophage.</p>


Subject(s)
Animals , Male , Mice , Amikacin , Pharmacology , Anti-Bacterial Agents , Pharmacology , Antioxidants , Cells, Cultured , Drug Resistance, Bacterial , Free Radicals , Glutathione , Macrophages, Peritoneal , Allergy and Immunology , Microbiology , Physiology , Oxidative Stress , Pseudomonas aeruginosa , Allergy and Immunology , Time Factors
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