Conventional and frugal methods of estimating COVID-19-related excess deaths and undercount factors | Scientific … – Nature.com

Jnana Prabodhini Foundation. Pandemic, Punekars, and Policy. Accessed from: https://www.youtube.com/watch?v=UTwAH8wHG3Y. Accessed 15 October 2022.

Whittaker, C. et al. Under-reporting of deaths limits our understanding of true burden of covid-19. BMJ 12, 375 (2021).

Google Scholar

Adam, D. COVIDs true death toll: much higher than official records. Nature. 603(7902), 562 (2022).

Article ADS CAS PubMed Google Scholar

Knutson, V., Aleshin-Guendel, S., Karlinsky, A., Msemburi, W. & Wakefield, J. Estimating global and country-specific excess mortality during the COVID-19 pandemic. Ann. Appl. Stat. 17(2), 13531374 (2023).

Article MathSciNet Google Scholar

Ritchie, H., Mathieu, E., Rods-Guirao, L., Appel, C., Giattino, C., Ortiz-Ospina, E., Hasell, J., Macdonald, B., Beltekian, D. & Roser, M. Coronavirus pandemic (COVID-19). Our world in data (2020).

Zimmermann, L. V., Salvatore, M., Babu, G. R. & Mukherjee, B. Estimating COVID-19-related mortality in India: An epidemiological challenge with insufficient data. Am. J. Public Health 111(S2), S59-62 (2021).

Article PubMed PubMed Central Google Scholar

Islam, N. et al. Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries. BMJ 19, 373 (2021).

Google Scholar

Wang, H. et al. Estimating excess mortality due to the COVID-19 pandemic: A systematic analysis of COVID-19-related mortality, 202021. The Lancet. 399(10334), 15131536 (2022).

Article CAS Google Scholar

Centers for Disease Control and Prevention (CDC). Excess Deaths Associated with COVID-19. 2021 Nov. Accessed from: https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm

Jha, P. et al. COVID mortality in India: National survey data and health facility deaths. Science. 375(6581), 667671 (2022).

Article ADS CAS PubMed PubMed Central Google Scholar

Leffler, C. T., Das, S., Yang, E. & Konda, S. Preliminary analysis of excess mortality in India during the COVID-19 pandemic. Am. J. Trop. Med. Hygiene. 106(5), 1507 (2022).

Article CAS Google Scholar

Gamio, S. & Glanz, J. Just how big could Indias true covid toll be? The New York Times (2021).

Rossen, L. M., Branum, A. M., Ahmad, F. B., Sutton, P. D. & Anderson, R. N. Notes from the field: Update on excess deaths associated with the COVID-19 pandemicUnited States, January 26, 2020February 27, 2021. Morbid. Mortal. Wkly. Rep. 70(15), 570 (2021).

Article CAS Google Scholar

The Economist, Solstad S. The pandemics true death toll. The Economist. 2021 May.

Acosta, E. Global estimates of excess deaths from COVID-19. Nature. 14, 3133 (2022).

Google Scholar

Anand, A., Sandefur, J. & Subramanian, A. Three new estimates of Indias all-cause excess mortality during the COVID-19 pandemic. Center for Global Development. (2021).

Banaji, M. Covid-19: What data about excess deaths reveals about Mumbais class divide. Scroll. (2021).

Banaji, M. Estimating COVID-19 infection fatality rate in Mumbai during 2020. medRxiv. 2021 Apr 10:202104.

Biswas, S. Why Indias real COVID toll may never be known. BBC News. (2022).

Farrington, C. P., Andrews, N. J., Beale, A. D. & Catchpole, M. A. A statistical algorithm for the early detection of outbreaks of infectious disease. J. R. Stat. Soc. Ser. A (Stat. Soc.). 159(3), 547563 (1996).

Article MathSciNet Google Scholar

Karlinsky, A. & Kobak, D. Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset. Elife. (2021).

Msemburi, W. et al. The WHO estimates of excess mortality associated with the COVID-19 pandemic. Nature. 14, 18 (2022).

Google Scholar

Parkin, B., Singh, J., Findlay, S. & Burn-Murdoch, J. Indias devastating second wave:It is much worse this time.. Financial Times (2021).

Santos-Burgoa, C. et al. Differential and persistent risk of excess mortality from Hurricane Maria in Puerto Rico: a time-series analysis. The Lancet Planetary Health. 2(11), e478e488 (2018).

Article PubMed Google Scholar

Vandoros, S. Excess mortality during the Covid-19 pandemic: Early evidence from England and Wales. Soc. Sci. Med. 1(258), 113101 (2020).

Article Google Scholar

Akhlaq, A., McKinstry, B., Muhammad, K. B. & Sheikh, A. Barriers and facilitators to health information exchange in low-and middle-income country settings: a systematic review. Health Policy Plann. 31(9), 13101325 (2016).

Article Google Scholar

Jnana Prabodhini Foundation. Pandemic, Punekars, and Perceptions: Preliminary findings of a COVID-19-related Knowledge, Attitudes, Practices, and Wisdom survey. 2021 Jul. Accessed from: jnanaprabodhinifoundation.org/analytics.

von Clausewitz, C. On the Nature of War. In On War. 2008 Sep 2 (pp. 73124). Princeton University Press.

Mwananyanda, L. et al. Covid-19 deaths in Africa: prospective systematic postmortem surveillance study. BMJ 17, 372 (2021).

Google Scholar

Djaafara, B. A. et al. Quantifying the dynamics of COVID-19 burden and impact of interventions in Java, Indonesia. MedRxiv. 2, 20202110 (2020).

Google Scholar

Endris, B. S., Saje, S. M., Metaferia, Z. T., Sisay, B. G., Afework, T., Mengistu, Y. G., Fenta, E. H., Gebreyesus, S. H., Petros, A., Worku, A. & Seman, Y. Excess mortality in the face of COVID-19: evidence from Addis Ababa mortality surveillance program. [Preprint.]. https://doi.org/10.2139/ssrn.3787447.

Koum Besson, E. S. et al. Excess mortality during the COVID-19 pandemic: A geospatial and statistical analysis in Aden governorate, Yemen. BMJ Glob. Health. 6(3), e004564 (2021).

Article PubMed Google Scholar

Morris, J. What does USA Group Term Life Insurance Report say about Young Adult Excess Deaths in Fall 2021?. COVID-19 Data Science. 2022 Aug 25. https://www.covid-datascience.com/post/what-does-usa-group-term-life-insurance-report-say-about-young-adult-excess-deaths-in-fall-2021

The Reporters Collective. Available from: https://www.reporters-collective.in. 2021.

Watson, O. J. et al. Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria. Nat. Commun. 12(1), 2394 (2021).

Article ADS CAS PubMed PubMed Central Google Scholar

Onuah, F. At least half of mystery deaths in Nigerias Kano due to COVID-19. Reuters 9, 9 (2020).

Google Scholar

Bullard, S. E. et al. The Biber cognitive estimation test. Arch. Clin. Neuropsychol. 19(6), 835846 (2004).

Article PubMed Google Scholar

Galton, F. Vox populi (the wisdom of crowds). Nature. 75(7), 450451 (1907).

Article ADS Google Scholar

Shallice, T. & Evans, M. E. The involvement of the frontal lobes in cognitive estimation. Cortex. 14(2), 294303 (1978).

Article CAS PubMed Google Scholar

Delaloye, C. et al. The contribution of aging to the understanding of the dimensionality of executive functions. Arch. Gerontol. Geriatr. 49(1), e51e59 (2009).

Article CAS PubMed Google Scholar

Fisk, J. E. & Sharp, C. A. Age-related impairment in executive functioning: Updating, inhibition, shifting, and access. J. Clin. Exp. Neuropsychol. 26(7), 874890 (2004).

Article PubMed Google Scholar

Jurado, M. B. & Rosselli, M. The elusive nature of executive functions: A review of our current understanding. Neuropsychol. Rev. 17, 213233 (2007).

Article PubMed Google Scholar

Spreen, O. General intellectual ability and assessment of premorbid intelligence. A compendium of neuropsychological tests. 43135 (1998).

Stuss, D. T. & Alexander, M. P. Executive functions and the frontal lobes: a conceptual view. Psychol. Res. 63(34), 289298 (2000).

Article CAS PubMed Google Scholar

Stuss, D. T. & Levine, B. Adult clinical neuropsychology: lessons from studies of the frontal lobes. Annu. Rev. Psychol. 53(1), 401433 (2002).

Article PubMed Google Scholar

Appollonio, I. M. et al. Cognitve estimation: comparison of two tests in nondemented parkinsonian patients. Neurol. Sci. 24, 153154 (2003).

Article CAS PubMed Google Scholar

Axelrod, B. N. & Millis, S. R. Preliminary standardization of the cognitive estimation test. Assessment. 1(3), 269274 (1994).

Article Google Scholar

Bisbing, T. A. et al. Estimating frontal and parietal involvement in cognitive estimation: a study of focal neurodegenerative diseases. Front. Hum. Neurosci. 4(9), 317 (2015).

Google Scholar

Della Sala, S., MacPherson, S. E., Phillips, L. H., Sacco, L. & Spinnler, H. The role of semantic knowledge on the cognitive estimation task: Evidence from Alzheimers disease and healthy adult aging. J. Neurol. 251, 156164 (2004).

Article PubMed Google Scholar

Goldstein, F. C., Green, J., Presley, R. M. & OJile, J. Cognitive estimation in patients with Alzheimers disease. Neuropsychiatry Neuropsychol. Behav. Neurol. 9, 3542 (1996).

Google Scholar

Leng, N. R. & Parkin, A. J. Double dissociation of frontal dysfunction in organic amnesia. Br. J. Clin. Psychol. 27(4), 359362 (1988).

Article CAS PubMed Google Scholar

Levinoff, E. J. et al. Cognitive estimation impairment in Alzheimer disease and mild cognitive impairment. Neuropsychology. 20(1), 123 (2006).

Article PubMed Google Scholar

Shoqeirat, M. A., Mayes, A., MacDonald, C., Meudell, P. & Pickering, A. Performance on tests sensitive to frontal lobe lesions by patients with organic amnesia: Leng & Parkin revisited. Br. J. Clin. Psychol. 29(4), 401408 (1990).

Article CAS PubMed Google Scholar

Spencer, R. J. & Johnson-Greene, D. The Cognitive Estimation Test (CET): Psychometric limitations in neurorehabilitation populations. J. Clin. Exp. Neuropsychol. 31(3), 373377 (2009).

Article PubMed Google Scholar

Taylor, R. & OCarroll, R. Cognitive estimation in neurological disorders. Br. J. Clin. Psychol. 34(2), 223228 (1995).

Article CAS PubMed Google Scholar

Wagner, G. P., MacPherson, S. E., Parente, M. A. & Trentini, C. M. Cognitive estimation abilities in healthy and clinical populations: the use of the Cognitive Estimation Test. Neurol. Sci. 32, 203210 (2011).

Article PubMed Google Scholar

Ashkenazi, S. & Tsyganov, Y. The Cognitive Estimation Task is nonunitary: Evidence for multiple magnitude representation mechanisms among normative and ADHD college students. J. Numer. Cogn. 2(3), 220246 (2017).

Article Google Scholar

Cokely, E. T., Galesic, M., Schulz, E., Ghazal, S. & Garcia-Retamero, R. Measuring risk literacy: The Berlin numeracy test. Judgm. Decis. Mak. 7(1), 2547 (2012).

Article Google Scholar

Harel, B. T., Cillessen, A. H., Fein, D. A., Bullard, S. E. & Aviv, A. It takes nine days to iron a shirt: The development of cognitive estimation skills in school age children. Child Neuropsychol. 13(4), 309318 (2007).

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