https://doi.org/10.4081/gh.2020.889
Spatiotemporal distribution and trend of COVID-19 in the Yangtze River Delta region of the People's Republic of China
Published: 15 June 2020
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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An outbreak of atypical pneumonia, now called COVID-19 and known to be caused by the novel coronavirus SARS-CoV-2, first detected in Wuhan, Hubei Province of the People's Republic of China in December 2019 and afterwards rapidly spread worldwide. Wuhan and the Yangtze River Delta (YRD) region implemented first-level public health emergency responses to stop the spread of the virus on January 23rd, 2020. We tracked the geographical gravity centre of the disease and calculated spatial autocorrelation to explore the spatiotemporal patterns of distribution of imported and locally disseminated COVID-19 cases under the emergency-response control measure. We also applied polynomial regression analysis to estimate the trend of the COVID-19 in the YRD region before and after the control activities against the spread of the infection were instituted. The results show that the control measures applied have been effective. And, in the YRD region, areas with a large influx of population flow from Wuhan and Hubei Province had high risks of COVID-19. Therefore, identification of the spatiotemporal trends should be the first step when developing effective policies to manage and control any new epidemic. The results are not only informative locally but also useful for the rest of the world.
Backer JA, Klinkenberg D, Wallinga J, 2020. Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China,20–28 January 2020. Euro Surveill. 25: pii=2000062. doi:10.2807/1560-7917.ES.2020.25.5.2000062.
DOI: https://doi.org/10.2807/1560-7917.ES.2020.25.5.2000062
Basu S, Thibodeau TG, 1998. Analysis of Spatial Autocorrelation in House Prices. J Real Estate Finance Econ 17: 61–85. doi:10.1023/A:1007703229507.
DOI: https://doi.org/10.1023/A:1007703229507
Brief introduction of Chamber of Commerce. Retrieved Feb 7,2020, available from Wuhan-Wenzhou Chamber of Commerce website, http://www.whswzsh.com/aboutus.asp?ID=10.
Brody H, Rip MR, Vinten-Johansen P, Paneth N, Rachman S, 2000. Map-making and myth-making in Broad Street: the London cholera epidemic, 1854. Lancet 356: 64-68. doi: 10.1016/S0140-6736(00)02442-9.
DOI: https://doi.org/10.1016/S0140-6736(00)02442-9
Chen Y,2015. The distance-decay function of geographical gravity model: Power law or exponential law? Chaos, Solitons & Fractals 77: 174-189. doi: 10.1016/j.chaos.2015.05.022.
DOI: https://doi.org/10.1016/j.chaos.2015.05.022
Chowell G, Fenimore PW, Castillo-Garsow MA, Castillo-Chavez C, 2003. SARS outbreaks in Ontario, Hong Kong and Singapore: the role of diagnosis and isolation as a control mechanism. J Theor Biol 224: 1-8. doi:10.1016/S0022-5193(03)00228-5.
DOI: https://doi.org/10.1016/S0022-5193(03)00228-5
Comber A J, Brunsdon C, Radburn R, 2001. A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions. Int J Health Geogr 10: 44. doi:10.1186/1476-072X-10-44.
DOI: https://doi.org/10.1186/1476-072X-10-44
Cui J, Li F, Shi Z L,2019. Origin and evolution of pathogenic coronaviruses. Nat Rev Microbiol 17: 181-192. doi:10.1038/s41579-018-0118-9.
DOI: https://doi.org/10.1038/s41579-018-0118-9
Di L, Feng B, Goosen TC, Lai YR, Steyn SJ, Varma MV, Obach RS, 2013. A perspective on the prediction of drug pharmacokinetics and disposition in drug research and development. Drug Metab Dispos 41: 1975-1993. doi:10.1124/dmd.113.054031.
DOI: https://doi.org/10.1124/dmd.113.054031
Doll, R, 2017. The Prevention of Cancer: Pointers from Epidemiology. Routledge,127pp.
DOI: https://doi.org/10.4324/9781315134178
Ecker DJ, Sampath R, Blyn LB, Eshoo MW, Ivy C, et al, 2005. Rapid identification and strain-typing of respiratory pathogens for epidemic surveillance. PNAS 102: 8012-8017. doi:10.1073/pnas.0409920102.
DOI: https://doi.org/10.1073/pnas.0409920102
Forna A, Dorigatti I, Nouvellet P, Donnelly CA, 2020. Spatiotemporal variability in case fatality ratios for 2013–2016 Ebola epidemic in West Africa. Int J Infect Dis 93:48-55. doi: 10.1016/j.ijid.2020.01.046.
DOI: https://doi.org/10.1016/j.ijid.2020.01.046
Gao GF, 2018. From “A†IV to “Z†IKV: attacks from emerging and re-emerging pathogens. Cell 172: 1157-1159. doi: 10.1016/j.cell.2018.02.025.
DOI: https://doi.org/10.1016/j.cell.2018.02.025
Gibbens JC, Wilesmith JW, 2002. Temporal and geographical distribution of cases of foot-and-mouth disease during the early weeks of the 2001 epidemic in Great Britain. Vet Rec 151: 407-412. doi:10.1136/vr.151.14.407.
DOI: https://doi.org/10.1136/vr.151.14.407
Ginsberg A, Spigelman M, 2007. Challenges in tuberculosis drug research and development. Nat Med 13: 290-294. doi:10.1038/nm0307-290.
DOI: https://doi.org/10.1038/nm0307-290
Gu CL, Zhu J, Sun YF, Zhou K, Gu J, 2020. The inflection point about COVID-19 may have passed. Sci Bull, Mar 3[Published online ahead of print]. doi: 10.1016/j.scib.2020.02.025.
DOI: https://doi.org/10.1016/j.scib.2020.02.025
Hilgenfeld R, Peiris M,2013. From SARS to MERS: 10 years of research on highly pathogenic human coronaviruses. Antiviral Res 100: 286-295. doi: 10.1016/j.antiviral.2013.08.015.
DOI: https://doi.org/10.1016/j.antiviral.2013.08.015
Kai F. Why is the pandemic so serious in Zhejiang and Henan? Retrieved Feb 6,2020, from Tencent website, https://xw.qq.com/amphtml/20200206A0C2EP00.
Boulos MNK, Geraghty EM, 2020. Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. Int J Health Geogr 19: 8. doi:10.1186/s12942-020-00202-8.
DOI: https://doi.org/10.1186/s12942-020-00202-8
Liang HG, Xue YJ, 2004. Investigating public health emergency response information system initiatives in China. Int J Med Inform 73: 675-685. doi: 10.1016/j.ijmedinf.2004.05.010.
DOI: https://doi.org/10.1016/j.ijmedinf.2004.05.010
Liu Y, Li Y, Li ZL, Han FF, 2020. [Spread characteristics of COVID-19 epidemic situation in Guangdong Province]. [Article in Chinese]. Trop Geogr 4. Available from: https://mp.weixin.qq.com/s/qOYE_D_d2dHQ5xXcB0J_8A.
Liu Z, Qian JL, Du YY, Wang N, Yi JW, Sun YR, Ma T, Pei T, Zhou CH, 2020. [Multi-level spatial distribution estimation model of the inter-regional migrant population using multi-Source spatiotemporal big data: a case study of migrants from Wuhan during the spread of COVID-19]. [Article in Chinese]. Journal of Geo-Information Science 22:147-160. doi: 10.12082/dqxxkx.2020.200045.
Miao CH, Liu Y, Dong GP, Yang DY, Zhang H, Han YQ, Ren MH, Qi Y, 2020. [Preliminary Analysis on Spatiotemporal spread characteristics of COVID-19 epidemic in Henan Province. Collaborative Innovation Center of Yellow River Civilization]. [Article in Chinese]. Economic Geography 3. Available from: https://mp.weixin.qq.com/s/wSXBceS8_7QJ9kiOqnL4MQ.
Max TA, Burkhart HE,1976. Segmented polynomial regression applied to taper equations. Forest Sci 22: 283-289. doi:10.1093/forestscience/22.3.283.
National Bureau of Statistics of China. [Forecast list of national GDP rankings in 2019]. [Article in Chinese]. Available from https://www.stas.gov.cn.
National Development and Reform Commission. Regional Development Plan of the Yangtze River Delta. Available from http://www.gov.cn/zwgk/2010-06/22/content_1633868.htm.
Oparil S, Zaman MA, Calhoun DA,2003. Pathogenesis of hypertension. Ann Intern Med 139: 761-776.doi: 10.7326/0003-4819-139-9-200311040-00011.
DOI: https://doi.org/10.7326/0003-4819-139-9-200311040-00011
Poirier C, Luo W, Majumder MS, Liu DB, Mandl K, Mooring T, Santillana M, 2020. The Role of Environmental Factors on Transmission Rates of the COVID-19 Outbreak: An Initial Assessment in Two Spatial Scales. Available from https://ssrn.com/abstract=3552677 or http://dx.doi.org/10.2139/ssrn.3552677.
DOI: https://doi.org/10.2139/ssrn.3552677
Reinhardt M, Elias J, Albert J, Frosch M, Harmsen D, Vogel U, 2008. EpiScanGIS: an online geographic surveillance system for meningococcal disease. Int J Health Geogr 7: 33. doi:10.1186/1476-072X-7-33.
DOI: https://doi.org/10.1186/1476-072X-7-33
Rivas AL, Patron JF, Smith SD, Fasina F, Hittner JB, 2020. Geo-Temporal, Network Properties of the Chinese COVID-19 Epidemic (3/6/2020). Available from https://ssrn.com/abstract=3551339.
DOI: https://doi.org/10.2139/ssrn.3551339
Ross R, Glomset JA, 1976. The pathogenesis of atherosclerosis. N Engl J Med 295: 369-377. doi: 10.1056/NEJM197608122950707.
DOI: https://doi.org/10.1056/NEJM197608122950707
Sanson RL, Liberona H, Morris RS,1991. The use of a geographical information system in the management of a foot-and-mouth disease epidemic. Prev Vet Med 11: 309-313. doi:10.1016/S0167-5877(05)80017-0.
DOI: https://doi.org/10.1016/S0167-5877(05)80017-0
Tong T, Ya W, Shuang Z, Di F, Chun J, 2020. [Why Wenzhou is the city with the most serious pandemic outside Hubei province?]. [Article in Chinese]. Available from: https://wxn.qq.com/cmsid/20200201A07I2V00.
Wong G, Liu WJ, Liu YX, Zhou BP, Bi YH, Gao GF, 2015. MERS, SARS, and Ebola: the role of super-spreaders in infectious disease. Cell Host Microbe 18: 398-401. doi: 10.1016/j.chom.2015.09.013.
DOI: https://doi.org/10.1016/j.chom.2015.09.013
Wu JT, Leung K, Leung GM,2020. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet 395: 689-697. doi:10.1016/S0140-6736(20)30260-9.
DOI: https://doi.org/10.1016/S0140-6736(20)30260-9
Zhou F, Yu T, Du RH, Fan GH, Liu Y, et al, 2020. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study, 2020. Lancet 395:1054-1062. doi: 10.1016/S0140-6736(20)30566-3.
DOI: https://doi.org/10.1016/S0140-6736(20)30566-3
Zhu N, Zhang DY, Wang WL, Li XW, Yang B, et.al, 2020. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med 382:727-733. doi: 10.1056/NEJMoa2001017.
DOI: https://doi.org/10.1056/NEJMoa2001017
Supporting Agencies
Natural Science Foundation of Jiangsu ProvinceHow to Cite
Ye, L., & Hu, L. (2020). Spatiotemporal distribution and trend of COVID-19 in the Yangtze River Delta region of the People’s Republic of China. Geospatial Health, 15(1). https://doi.org/10.4081/gh.2020.889
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