Does Density Aggravate the COVID-19 Pandemic? Early Findings and Lessons for Planners

被引:489
作者
Hamidi, Shima [1 ]
Sabouri, Sadegh [2 ]
Ewing, Reid [3 ]
机构
[1] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Publ Hlth, Baltimore, MD 21218 USA
[2] Univ Utah, Dept City & Metropolitan Planning, Salt Lake City, UT 84112 USA
[3] Univ Utah, City & Metropolitan Planning, Salt Lake City, UT 84112 USA
关键词
COVID-19; density; infectious diseases; pandemic; urban sprawl; URBAN SPRAWL; TRANSMISSIBILITY; DISPARITIES; PATTERNS; QUALITY; CITIES; UPDATE; IMPACT;
D O I
10.1080/01944363.2020.1777891
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
Problem, research strategy, and findings:The impact of density on emerging highly contagious infectious diseases has rarely been studied. In theory, dense areas lead to more face-to-face interaction among residents, which makes them potential hotspots for the rapid spread of pandemics. On the other hand, dense areas may have better access to health care facilities and greater implementation of social distancing policies and practices. The current COVID-19 pandemic is a perfect case study to investigate these relationships. Our study uses structural equation modeling to account for both direct and indirect impacts of density on the COVID-19 infection and mortality rates for 913 U.S. metropolitan counties, controlling for key confounding factors. We find metropolitan population to be one of the most significant predictors of infection rates; larger metropolitan areas have higher infection and higher mortality rates. We also find that after controlling for metropolitan population, county density is not significantly related to the infection rate, possibly due to more adherence to social distancing guidelines. However, counties with higher densities have significantly lower virus-related mortality rates than do counties with lower densities, possibly due to superior health care systems. Takeaway for practice:These findings suggest that connectivity matters more than density in the spread of the COVID-19 pandemic. Large metropolitan areas with a higher number of counties tightly linked together through economic, social, and commuting relationships are the most vulnerable to the pandemic outbreaks. They are more likely to exchange tourists and businesspeople within themselves and with other parts, thus increasing the risk of cross-border infections. Our study concludes with a key recommendation that planners continue to advocate dense development for a host of reasons, including lower death rates due to infectious diseases like COVID-19.
引用
收藏
页码:495 / 509
页数:15
相关论文
共 70 条
[1]   Urbanisation and infectious diseases in a globalised world [J].
Alirol, Emilie ;
Getaz, Laurent ;
Stoll, Beat ;
Chappuis, Francois ;
Loutan, Louis .
LANCET INFECTIOUS DISEASES, 2011, 11 (02) :131-141
[2]   Integrating social network data into GISystems [J].
Andris, Clio .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2016, 30 (10) :2009-2031
[3]  
[Anonymous], 2020, WHO naming the coronavirus disease (COVID-19) and the virus that causes it-11 March 2020
[4]  
[Anonymous], 2020, American Community Survey website
[5]  
[Anonymous], 2007, The world health report
[6]  
[Anonymous], 2019, Kaiser Health News
[7]   Ebola Virus Disease in West Africa - The First 9 Months of the Epidemic and Forward Projections [J].
Aylward, Bruce ;
Barboza, Philippe ;
Bawo, Luke ;
Bertherat, Eric ;
Bilivogui, Pepe ;
Blake, Isobel ;
Brennan, Rick ;
Briand, Sylvie ;
Chakauya, Jethro Magwati ;
Chitala, Kennedy ;
Conteh, Roland M. ;
Cori, Anne ;
Croisier, Alice ;
Dangou, Jean-Marie ;
Diallo, Boubacar ;
Donnelly, Christl A. ;
Dye, Christopher ;
Eckmanns, Tim ;
Ferguson, Neil M. ;
Formenty, Pierre ;
Fuhrer, Caroline ;
Fukuda, Keiji ;
Garske, Tini ;
Gasasira, Alex ;
Gbanyan, Stephen ;
Graaff, Peter ;
Heleze, Emmanuel ;
Jambai, Amara ;
Jombart, Thibaut ;
Kasolo, Francis ;
Kadiobo, Albert Mbule ;
Keita, Sakoba ;
Kertesz, Daniel ;
Kone, Moussa ;
Lane, Chris ;
Markoff, Jered ;
Massaquoi, Moses ;
Mills, Harriet ;
Mulba, John Mike ;
Musa, Emmanuel ;
Myhre, Joel ;
Nasidi, Abdusalam ;
Nilles, Eric ;
Nouvellet, Pierre ;
Nshimirimana, Deo ;
Nuttall, Isabelle ;
Nyenswah, Tolbert ;
Olu, Olushayo ;
Pendergast, Scott ;
Perea, William .
NEW ENGLAND JOURNAL OF MEDICINE, 2014, 371 (16) :1481-1495
[8]   Pandemic influenza in Australia: Using telephone surveys to measure perceptions of threat and willingness to comply [J].
Barr, Margo ;
Raphael, Beverley ;
Taylor, Melanie ;
Stevens, Garry ;
Jorm, Louisa ;
Giffin, Michael ;
Lujic, Sanja .
BMC INFECTIOUS DISEASES, 2008, 8 (1)
[9]   The public's response to severe acute respiratory syndrome in Toronto and the United States [J].
Blendon, RJ ;
Benson, JM ;
DesRoches, CM ;
Raleigh, E ;
Taylor-Clark, K .
CLINICAL INFECTIOUS DISEASES, 2004, 38 (07) :925-931
[10]   Pandemic influenza planning in the United States from a health disparities perspective [J].
Blumenshine, Philip ;
Reingold, Arthur ;
Egerter, Susan ;
Mockenhaupt, Robin ;
Braveman, Paula ;
Marks, James .
EMERGING INFECTIOUS DISEASES, 2008, 14 (05) :709-715