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Journal articles on the topic 'Mortality analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Mary Oluwatoyin, Agboola. "Impact of food availability on child mortality: a cross country comparative analysis." Agricultural Economics (Zemědělská ekonomika) 63, No. 6 (2017): 283–97. http://dx.doi.org/10.17221/333/2015-agricecon.

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The study examined the impact of food security on child mortality (infant mortality and under-five mortality), using a dynamic panel data analysis for 114 countries for the period 1995–2009 by considering a wide range of controlled variables such as income, social indicators and policy variables. The result suggests that food security has a negative impact on child mortality for all countries and even more impact on child mortality within the food insecure African countries. Therefore, based on the findings of the study; it is recommended that an increase in food security is indeed a positive policy option, particularly within the food insecure African countries, since it ensures a decrease in child mortality within these countries.

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2

Shah, Dr Samipa J., Dr Akshay Shah, Dr Punit B. . Vasa, and Dr Yamini Trivedi. "A root-cause analysis of Maternal Mortality in a tertiary care hospital." International Journal of Scientific Research 2, no. 7 (2012): 383–84. http://dx.doi.org/10.15373/22778179/july2013/130.

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3

Diamond, I. D., K. G. Manton, and E. Stallard. "Recent Trends in Mortality Analysis." Biometrics 43, no. 2 (1987): 483. http://dx.doi.org/10.2307/2531837.

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4

Yuan, Xiaoling, Fujian Song, and Lanjing Zhang. "Trend analysis of diabetic mortality." Lancet 393, no. 10184 (2019): 1931–32. http://dx.doi.org/10.1016/s0140-6736(18)33051-4.

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5

Chiang, Chin Long. "Competing Risks in Mortality Analysis." Annual Review of Public Health 12, no. 1 (1991): 281–307. http://dx.doi.org/10.1146/annurev.pu.12.050191.001433.

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6

Higgs, Rowan. "Fractal analysis for CHD mortality." Nature Reviews Cardiology 8, no. 2 (2011): 62. http://dx.doi.org/10.1038/nrcardio.2010.212.

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7

Dellaportas, Petros, Adrian F. M. Smith, and Photis Stavropoulos. "Bayesian analysis of mortality data." Journal of the Royal Statistical Society: Series A (Statistics in Society) 164, no. 2 (2001): 275–91. http://dx.doi.org/10.1111/1467-985x.00202.

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8

Palloni, Alberto, Kenneth G. Manton, and Eric Stallard. "Recent Trends in Mortality Analysis." Journal of the American Statistical Association 81, no. 396 (1986): 1120. http://dx.doi.org/10.2307/2289101.

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9

B., J., Kenneth G. Manton, and Eric Stallard. "Recent Trends in Mortality Analysis." Population and Development Review 11, no. 2 (1985): 358. http://dx.doi.org/10.2307/1973501.

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10

Congdon, Peter. "Spatiotemporal Analysis of Area Mortality." Statistician 43, no. 4 (1994): 513. http://dx.doi.org/10.2307/2348136.

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11

Ardic, S., I. Arziman, U. Kaldirim, et al. "Analysis of traumatic mortality cases." African Journal of Emergency Medicine 3, no. 4 (2013): S11—S12. http://dx.doi.org/10.1016/j.afjem.2013.08.028.

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12

Manouchehrinia, Ali, Radu Tanasescu, Christopher R. Tench, and Cris S. Constantinescu. "Mortality in multiple sclerosis: meta-analysis of standardised mortality ratios." Journal of Neurology, Neurosurgery & Psychiatry 87, no. 3 (2015): 324–31. http://dx.doi.org/10.1136/jnnp-2015-310361.

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13

Cairns, Andrew J. G., David Blake, Kevin Dowd, Guy D. Coughlan, David Epstein, and Marwa Khalaf-Allah. "Mortality density forecasts: An analysis of six stochastic mortality models." Insurance: Mathematics and Economics 48, no. 3 (2011): 355–67. http://dx.doi.org/10.1016/j.insmatheco.2010.12.005.

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14

Brown, Jeremiah R. "Mortality manifesto: a meta-analysis of aprotinin and tranexamic acid mortality☆." European Journal of Cardio-Thoracic Surgery 36, no. 4 (2009): 781–82. http://dx.doi.org/10.1016/j.ejcts.2009.06.014.

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15

Lovász, Enrico. "Analysis of Finnish and Swedish mortality data with stochastic mortality models." European Actuarial Journal 1, no. 2 (2011): 259–89. http://dx.doi.org/10.1007/s13385-011-0039-8.

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16

Imomov, S., Sh Islamov, R. Ismailov, and B. Sherbekov. "FORENSIC MEDICAL ANALYSIS OF POPULATION MORTALITY." Doctor's Herald/ Доктор ахборотномаси /Вестник врача 93, no. 1 (2020): 27–29. http://dx.doi.org/10.38095/2181-466x-2020931-27-29.

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To study the mortality rate, a retrospective analysis of 973 conclusions of the forensic medical examination of corpses was carried out in 2019 in the Samarkand regional branch of the Republican Scientific Practical Center for Forensic Medical Examination and its regional units. According to the forensic medical service, the structure of mortality is dominated by mechanical trauma, as well as mechanical asphyxia and cardiovascular disease. Among the mechanical damages, the main part was a transport injury, especially an automobile one. A certain part is death from a traumatic brain injury, mainly as a result of a car injury and exposure to blunt objects. In gender terms, it prevails in men, in the age aspect in people of working age.

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17

IEYASU, Hidetaka. "Analysis of mortality of mental patients." Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 101, no. 5-6 (1989): 647–57. http://dx.doi.org/10.4044/joma1947.101.5-6_647.

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18

Okba, Ahmed Fawzy. "Hairy Cell Leukemia – A Mortality Analysis." Journal of Insurance Medicine 48, no. 2 (2020): 136–43. http://dx.doi.org/10.17849/insm-48-2-136-143.1.

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Objectives.—To assess mortality and survival analysis for patients with hairy cell leukemia, taking into consideration the effect of new therapies. Background.—Hairy cell leukemia (HCL) is a chronic B-cell disorder and an uncommon malignancy. Initially, therapeutic options were limited, and outcomes were poor. However, with the introduction of alpha interferon in 1984, followed by two purine nucleoside analogues pentostatin (1986) and cladribine (1990) and more recently, rituximab, a monoclonal antibody, HCL outcomes have improved, translating HCL from a disease with limited treatment options to a highly treatable disease with a near-normal survival. Methods.—A SEER-17 database survival analysis was conducted on patients diagnosed with HCL in the US. Using the International Classification of Diseases code for HCL (9940), the SEER database was interrogated for patients diagnosed from 1973-2013. Analysis was based on comparing the survival of patients in the last 4 decades to the expected survival population generated by the SEER data. Analysis using mortality and survival methodology was used to calculate the excess death rate (EDR), mortality ratios, and survival ratios. Results.—In patients with HCL diagnosed from 1973-1983 compared to those diagnosed from 1984-1993, the survival improved by 6% in the first year and reached 26% by year 5, 30% by year 10, 33% by the year 15, and 40% by year 20. Calculations of relative mortality showed a decrease in mortality from decade 1973-1983 to decade 1984-1993 of 66% in the first year, 96% by year 5, 66% by year 10, 46% by year 15, and 40% by year 20. Conclusions.—The survival of patients diagnosed with HCL has improved over the last 3 decades, with a significant benefit being seen since 1984. Thanks to the introduction of newer drugs, the outcome of patients with HCL has been transformed into a highly treatable form of leukemia, and patients now have a near-normal life expectancy.

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19

Ginzburg, Valentina. "Analysis of perinatal mortality in Ukraine." Medycyna Ogólna i Nauki o Zdrowiu 21, no. 1 (2015): 49–55. http://dx.doi.org/10.5604/20834543.1142359.

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20

Lovato, Nicole, and Leon Lack. "Insomnia and mortality: A meta-analysis." Sleep Medicine Reviews 43 (February 2019): 71–83. http://dx.doi.org/10.1016/j.smrv.2018.10.004.

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21

Stratta, R. J. "Analysis of Mortality After Pancreas Transplantation." Transplantation Proceedings 30, no. 2 (1998): 283. http://dx.doi.org/10.1016/s0041-1345(97)01268-2.

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22

Speelberg, Ben. "MORTALITY SUBGROUP ANALYSIS IN THE ICU." Critical Care Medicine 27, Supplement (1999): A54. http://dx.doi.org/10.1097/00003246-199912001-00116.

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23

Preisler, Haiganoush K., and Jacqueline L. Robertson. "Analysis of Time-Dose-Mortality Data." Journal of Economic Entomology 82, no. 6 (1989): 1534–42. http://dx.doi.org/10.1093/jee/82.6.1534.

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24

Raven, Melissa. "Analysis of Mortality in Mental Disorders." JAMA Psychiatry 72, no. 11 (2015): 1150. http://dx.doi.org/10.1001/jamapsychiatry.2015.1362.

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25

Moon, J. Robin, Naoki Kondo, M. Maria Glymour, and S. V. Subramanian. "Widowhood and Mortality: A Meta-Analysis." PLoS ONE 6, no. 8 (2011): e23465. http://dx.doi.org/10.1371/journal.pone.0023465.

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26

McGoldrick, Kathryn E. "Mortality Analysis in Hip Fracture Patients." Survey of Anesthesiology 49, no. 3 (2005): 132. http://dx.doi.org/10.1097/01.sa.0000165227.67470.74.

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27

CANAVAN, C., K. R. ABRAMS, and J. F. MAYBERRY. "Meta-analysis: mortality in Crohn’s disease." Alimentary Pharmacology & Therapeutics 25, no. 8 (2007): 861–70. http://dx.doi.org/10.1111/j.1365-2036.2007.03276.x.

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28

NEWMAN, STEPHEN C. "Mortality analysis and life table techniques." International Journal of Epidemiology 14, no. 1 (1985): 186–87. http://dx.doi.org/10.1093/ije/14.1.186.

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29

MANTON, K. G., and E. STALLARD. "Mortality analysis and life table techniques." International Journal of Epidemiology 14, no. 1 (1985): 187–88. http://dx.doi.org/10.1093/ije/14.1.187.

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30

Bell, M. L., F. Dominici, and J. M. Samet. "META-ANALYSIS OF OZONE AND MORTALITY." Epidemiology 16, no. 5 (2005): S35. http://dx.doi.org/10.1097/00001648-200509000-00075.

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31

POPOOLA, Oladayo Timothy. "An Empirical Analysis of Infant Mortality." Journal of Economics and Management Sciences 2, no. 1 (2019): p27. http://dx.doi.org/10.30560/jems.v2n1p27.

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Newborn deaths are often used as measure of living standard of citizens as well as health indicator of nations. The rate is so high in developing countries, and more in sub-Saharan Africa (SSA) region. This paper therefore investigated the main drivers of infant mortality in a sample of eight SSA nations. The empirical findings reveal that newborn deaths are negative and statistically significant with the quality and availability of water supplies, sanitation facility, improved standard of living; but positively related and statistically significant to the increase in pollution level these countries. The study therefore recommend that government’s efforts should also be directed towards enhancing effective child healthcare services, provision of infrastructural facilities such as, improving access to drinkable water, and citizens’ welfare.

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32

Ferguson, Mark K., Terri R. Martin, Laurie B. Reeder, and Jemi Olak. "Mortality after Esophagectomy: Risk Factor Analysis." World Journal of Surgery 21, no. 6 (1997): 599–604. http://dx.doi.org/10.1007/s002689900279.

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33

Bhattacharya, Samir K., and Nand K. Singh. "Bayesian prediction for business mortality analysis." Test 3, no. 2 (1994): 207–20. http://dx.doi.org/10.1007/bf02562702.

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34

Abukhalaf, Jawad, Ross Davidson, and Rodrigo Vazquez-Guillamet. "COPD Mortality: A Competing Risk Analysis." Chest 150, no. 4 (2016): 861A. http://dx.doi.org/10.1016/j.chest.2016.08.961.

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35

Tropova, T. Ye, T. S. Krivonogova, L. A. Matveyeva, and R. A. Zlobina. "Analysis of neonatal mortality in Tomsk." Bulletin of Siberian Medicine 2, no. 3 (2003): 99–102. http://dx.doi.org/10.20538/1682-0363-2003-3-99-102.

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Dynamics of neonatal mortality in Tomsk within the period of 1999—2001 has been analyzed in the article. Analysis has been made according to the T. Kern’s method by G.S. Muchiyev’s and O.G. Frolova’s modification. This method permits to evaluate the dynamics of neonatal mortality from the viewpoint of its averting and gives opportunities to reveal the errors at all stages of medical care of women and new-born children. 170 cases of neonatal deaths have been analyzed. There has been marked the decrease of both early and common neonatal mortality due to avertable reasons. Unavertable death reasons tend to increase due to congenital malformations. Ways of the further decrease of neonatal mortality have been defined.

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36

Bowling, Ann. "Mortality after bereavement: An analysis of mortality rates and associations with mortality 13 years after bereavement." International Journal of Geriatric Psychiatry 9, no. 6 (1994): 445–59. http://dx.doi.org/10.1002/gps.930090603.

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37

Martinez, E. A. "A Method to Evaluate Cardiac Surgery Mortality: Phase of Care Mortality Analysis." Yearbook of Critical Care Medicine 2012 (January 2012): 106–8. http://dx.doi.org/10.1016/j.yccm.2011.12.055.

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38

Linden, Philip A., Christopher W. Towe, Thomas J. Watson, et al. "Mortality After Esophagectomy: Analysis of Individual Complications and Their Association with Mortality." Journal of Gastrointestinal Surgery 24, no. 9 (2019): 1948–54. http://dx.doi.org/10.1007/s11605-019-04346-2.

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39

Shannon, Francis L., Frank L. Fazzalari, Patricia F. Theurer, Gail F. Bell, Kathleen M. Sutcliffe, and Richard L. Prager. "A Method to Evaluate Cardiac Surgery Mortality: Phase of Care Mortality Analysis." Annals of Thoracic Surgery 93, no. 1 (2012): 36–43. http://dx.doi.org/10.1016/j.athoracsur.2011.07.057.

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40

Prahutama, Alan, Budi Warsito, and Moch Abdul Mukid. "ANALYSIS OF THE NUMBER INFANT AND MATERNAL MORTALITY IN CENTRAL JAVA INDONESIA USING SPATIAL-POISSON REGRESSION." MEDIA STATISTIKA 11, no. 2 (2018): 135–45. http://dx.doi.org/10.14710/medstat.11.2.135-145.

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Maternal and infant mortality are one of the most dangerous problems of the community since it can profoundly affect the number and composition of the population. Currently, the government has been taking heed on the attempt of reducing the number of maternal and newborn mortality in Central Java which requires data and information entirely. Poisson regression is a nonlinear regression that is often used to model the relationship between response variables in the form of discrete data with predictor variables in the form of discrete or continuous data. In space analysis, GWPR is one of method in space modeling which can model regional-based regression. It is based on some factors including the number of health facilities, the number of medical personnel, the percentage of deliveries performed with non-medical assistance; the average age of a woman's first marriage; the average education level of married women; average amount of per capita household expenditure; percentage of village status; the average rate of exclusive breastfeeding; percentage of households that have clean water and the percentage of poor people. Based on the analysis, it is revealed that the determinants of maternal and infant mortality in Central Java using Poisson and GWPR models, among others are the number of health facilities, the number of medical personnel, the average number of per capita household expenditure and the percentage of the poor. In the maternal and infant mortality model, the AIC value of GWPR model produces better modeling than Poisson regression. Keywords: Maternal and Infant mortality, Poisson, GWPR

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41

N.A., Kiryanov, Terehov V.Z., Chernov A.N. та Bochkarev A.N. "КЛИНИКО-АНАТОМИЧЕСКИЙ АНАЛИЗ МАТЕРИНСКОЙ СМЕРТНОСТИ". Bulletin "Biomedicine and sociology" 4, № 2 (2019): 3–9. http://dx.doi.org/10.26787/nydha-2618-8783-2019-4-2-3-9.

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42

van der Linde, A., K. H. Witzko, and K. H. Jockel. "Spatial-Temporal Analysis of Mortality Using Splines." Biometrics 51, no. 4 (1995): 1352. http://dx.doi.org/10.2307/2533266.

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43

Cecchinato, A., F. Maretto, E. Zanetti, and P. Carnier. "Survival analysis of piglet pre-weaning mortality." Italian Journal of Animal Science 6, sup1 (2007): 67–69. http://dx.doi.org/10.4081/ijas.2007.1s.67.

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44

&NA;. "Pooled analysis shows increased mortality with nesiritide." Reactions Weekly &NA;, no. 1049 (2005): 4. http://dx.doi.org/10.2165/00128415-200510490-00012.

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45

Konoplyannikov, A. G., L. M. Mikhaleva, A. S. Olenev, et al. "Analysis of the structure of maternal mortality." Voprosy ginekologii, akušerstva i perinatologii 19, no. 3 (2020): 133–38. http://dx.doi.org/10.20953/1726-1678-2020-3-133-138.

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46

JASSIM, E. W., M. GROSSMAN, W. J. KOOPS, and R. A. J. LUYKX. "Multiphasic Analysis of Embryonic Mortality in Chickens." Poultry Science 75, no. 4 (1996): 464–71. http://dx.doi.org/10.3382/ps.0750464.

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47

Varona, Luis, and Daniel Sorensen. "A Genetic Analysis of Mortality in Pigs." Genetics 184, no. 1 (2009): 277–84. http://dx.doi.org/10.1534/genetics.109.110759.

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48

Doğan, Serkan, Esin Aldemir, Utku Murat Kalafat, Özgü Hançerli, Merih Çetinkaya, and Başar Cander. "Analysis of Childhood Mortality in Emergency Department." Medical Bulletin of Haseki 57, no. 3 (2019): 290–95. http://dx.doi.org/10.4274/haseki.galenos.2019.5136.

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49

&NA;. "Pooled analysis shows increased mortality with nesiritide." Inpharma Weekly &NA;, no. 1485 (2005): 20. http://dx.doi.org/10.2165/00128413-200514850-00057.

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50

Pinquart, M., and P. R. Duberstein. "Depression and cancer mortality: a meta-analysis." Psychological Medicine 40, no. 11 (2010): 1797–810. http://dx.doi.org/10.1017/s0033291709992285.

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BackgroundThe goal of the present study was to analyze associations between depression and mortality of cancer patients and to test whether these associations would vary by study characteristics.MethodMeta-analysis was used for integrating the results of 105 samples derived from 76 prospective studies.ResultsDepression diagnosis and higher levels of depressive symptoms predicted elevated mortality. This was true in studies that assessed depression before cancer diagnosis as well as in studies that assessed depression following cancer diagnosis. Associations between depression and mortality persisted after controlling for confounding medical variables. The depression–mortality association was weaker in studies that had longer intervals between assessments of depression and mortality, in younger samples and in studies that used the Beck Depression Inventory as compared with other depression scales.ConclusionsScreening for depression should be routinely conducted in the cancer treatment setting. Referrals to mental health specialists should be considered. Research is needed on whether the treatment of depression could, beyond enhancing quality of life, extend survival of depressed cancer patients.

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