First year with COVID-19: Assessment and prospects

Abstract

The vision of health for all by Dr. Halfdan Mahler, Director General of the World Health Organization (WHO) 1973 to 1988, guided public health approaches towards improving life for all those mired in poverty and disease. Research on the Neglected Tropical Diseases (NTDs) of the world’s poor was advancing strongly when the coronavirus disease 2019 (COVID-19) struck. Although work on the NTDs did not grind to a halt, the situation is reminiscent of the author Stefan Zweig’s passionate account of culture destruction in his book The World of Yesterday from 1941, which gives an insight as to how the war ended traditional life. His thoughts parallel the present situation; however, this time societies are not torn apart by war but instead isolated by a pandemic. It comes upon today’s scientists to move fast to make COVID-19 less devastating than the Spanish flu of 1918-1920 that killed more than 3% of the world population...

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References

Alcântara E, Mantovani J, Rotta L, Park E, Rodrigues T, et al., 2020. Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil. Geospatial Health 2020; 15:953 DOI: https://doi.org/10.4081/gh.2020.925

Bisanzio D, Kraemer MUG, Bogoch II, Brewer T, Browstein JS, Reithinger R, 2020. Use of Twitter social media activity as a proxy for human mobility to predict the spatiotemporal spread of COVID-19 at global scale. Geospat Health 15:19-24. doi:10.4081/gh.2020.882. DOI: https://doi.org/10.4081/gh.2020.882

Balcan D, Colizza V, Gonçalves B, Hu H, Ramasco JJ, Vespignani A, 2009. Multiscale mobility networks and the spatial spreading of infectious diseases. Proc Natl Acad Sci USA 106:21484-9. DOI: https://doi.org/10.1073/pnas.0906910106

Chan H, Skali A, Torgler B, 2020. A Global Dataset of Human Mobility. CREMA Working Paper Series. Center for Research in Economics, Management and the Arts (CREMA). Available from: https://ideas.repec.org/p/cra/wpaper/2020-04.html

Cuadros DF, Xiao Y, Mukandavire Z, Correa-Agudelo E, Hernández A, et al., 2020. Spatiotemporal transmission dynamics of the COVID-19 pandemic and its impact on critical healthcare capacity. Health Place 64:102404. doi:10.1016/j.healthplace.2020.102404 DOI: https://doi.org/10.1016/j.healthplace.2020.102404

Deville P, Linard C, Martin S, Gilbert M, Stevens FR, et al., 2014. Dynamic population mapping using mobile phone data. Proc Natl Acad Sci USA 111:15888-93. doi: 10.1073/pnas.1408439111 DOI: https://doi.org/10.1073/pnas.1408439111

Economist, 2020. Coronavirus in Sweden: the odd one out. In issue dated October 10th 2020, p. 26. Available from: https://www.economist.com/

Ferreira MC, 2020. Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil. Geospatial Health 2020; 15:953

Ma J, 2020. Coronavirus: China’s first confirmed COVID-19 case traced back to November 17. South China Morning Post of 13 March 2020. Available from: https://www.scmp.com/news/china/society/article/3074991/coronavirus-chinas-firstconfirmedcovid-19-case-traced-back. Available from: http://www.scmp.com Accessed: 10 October 2020.

Gatto M, Mari L, Bertuzzo E, Casagrandi R, Righetto L, et al., 2012 Generalized reproduction numbers and the prediction of patterns in waterborne disease. Proc Natl Acad Sci USA 109:19703-8. DOI: https://doi.org/10.1073/pnas.1217567109

Gudbjartsson DF, Gudmundur L, Norddahl GL, Melsted P, Gunnarsdottir K, et al., 2020. Humoral Immune Response to SARS-CoV-2 in Iceland. N Engl J Med [Online ahead of print]. doi:10.1056/NEJMoa2026116 DOI: https://doi.org/10.1056/NEJMoa2026116

Heneghan C, Brassey J, Jefferson T, 2020. COVID-19: What proportion are asymptomatic?. The Centre for Evidence-Based Medicine (CEBM). University of Oxford, UK. Available from: https://www.cebm.net/covid-19/covid-19-what-proportionare-asymptomatic/. Accessed: 15 October 2020.

Lai S, Ruktanonchai NW, Zhou L, Prosper O, Luo W, et al., 2020. Effect of non-pharmaceutical interventions to contain COVID19 in China. Nature 585:410-3. doi: 10.1038/s41586-020-2293-x DOI: https://doi.org/10.1038/s41586-020-2293-x

Leyk S, Gaughan AE, Adamo SB, de Sherbinin A, Balk D, et al., 2019. The spatial allocation of population: a review of largescale gridded population data products and their fitness for use. Earth Syst Sci Data 11:1385-409. DOI: https://doi.org/10.5194/essd-11-1385-2019

McNeill WH. Plagues and peoples, 369 pp. W. W. Norton, New York; 1976.

Sekine T, Perez-Potti A , Rivera-Ballesteros O, Strålin K, Gorin JB, et al., 2020. Robust T Cell Immunity in Convalescent Individuals with Asymptomatic or Mild COVID-19. Cell 183:158-168.e14. doi: 10.1016/j.cell.2020.08.017. DOI: https://doi.org/10.1016/j.cell.2020.08.017

Smith CD, Mennis J, 2020. Incorporating Geographic Information Science and Technology in Response to the COVID-19 Pandemic. Prev Chronic Dis 17:200246. doi:10.5888/pcd17.200246 DOI: https://doi.org/10.5888/pcd17.200246

Sun F, Matthews SA, Yang TC, Hu MH, 2020. A spatial analysis of COVID-19 period prevalence in US counties through June 28, 2020: Where geography matters? Annal Epidemiol [Online ahead of print]. doi: 10.1016/j.annepidem.2020.07.014 DOI: https://doi.org/10.1016/j.annepidem.2020.07.014

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2020-11-26
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Bergquist, R., Kiani, B., & Manda, S. (2020). First year with COVID-19: Assessment and prospects. Geospatial Health, 15(2). https://doi.org/10.4081/gh.2020.953