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      Spatiotemporal analysis and hotspots detection of COVID-19 using geographic information system (March and April, 2020)

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          Abstract

          Understanding the spatial distribution of coronavirus disease 2019 (COVID-19) cases can provide valuable information to anticipate the world outbreaks and in turn improve public health policies. In this study, the cumulative incidence rate (CIR) and cumulative mortality rate (CMR) of all countries affected by the new corona outbreak were calculated at the end of March and April, 2020. Prior to the implementation of hot spot analysis, the spatial autocorrelation results of CIR were obtained. Hot spot analysis and Anselin Local Moran’s I indices were then applied to accurately locate high and low-risk clusters of COVID-19 globally. San Marino and Italy revealed the highest CMR by the end of March, though Belgium took the place of Italy as of 30th April. At the end of the research period (by 30th April), the CIR showed obvious spatial clustering. Accordingly, southern, northern and western Europe were detected in the high-high clusters demonstrating an increased risk of COVID-19 in these regions and also the surrounding areas. Countries of northern Africa exhibited a clustering of hot spots, with a confidence level above 95%, even though these areas assigned low CIR values. The hot spots accounted for nearly 70% of CIR. Furthermore, analysis of clusters and outliers demonstrated that these countries are situated in the low-high outlier pattern. Most of the surveyed countries that exhibited clustering of high values (hot spot) with a confidence level of 99% (by 31st March) and 95% (by 30th April) were dedicated higher CIR values. In conclusion, hot spot analysis coupled with Anselin local Moran’s I provides a scrupulous and objective approach to determine the locations of statistically significant clusters of COVID-19 cases shedding light on the high-risk districts.

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          The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19) — China, 2020

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            Geographic Differences in COVID-19 Cases, Deaths, and Incidence — United States, February 12–April 7, 2020

            On April 10, 2020, this report was posted online as an MMWR Early Release. Community transmission of coronavirus disease 2019 (COVID-19) was first detected in the United States in February 2020. By mid-March, all 50 states, the District of Columbia (DC), New York City (NYC), and four U.S. territories had reported cases of COVID-19. This report describes the geographic distribution of laboratory-confirmed COVID-19 cases and related deaths reported by each U.S. state, each territory and freely associated state,* DC, and NYC during February 12–April 7, 2020, and estimates cumulative incidence for each jurisdiction. In addition, it projects the jurisdiction-level trajectory of this pandemic by estimating case doubling times on April 7 and changes in cumulative incidence during the most recent 7-day period (March 31–April 7). As of April 7, 2020, a total of 395,926 cases of COVID-19, including 12,757 related deaths, were reported in the United States. Cumulative COVID-19 incidence varied substantially by jurisdiction, ranging from 20.6 cases per 100,000 in Minnesota to 915.3 in NYC. On April 7, national case doubling time was approximately 6.5 days, although this ranged from 5.5 to 8.0 days in the 10 jurisdictions reporting the most cases. Absolute change in cumulative incidence during March 31–April 7 also varied widely, ranging from an increase of 8.3 cases per 100,000 in Minnesota to 418.0 in NYC. Geographic differences in numbers of COVID-19 cases and deaths, cumulative incidence, and changes in incidence likely reflect a combination of jurisdiction-specific epidemiologic and population-level factors, including 1) the timing of COVID-19 introductions; 2) population density; 3) age distribution and prevalence of underlying medical conditions among COVID-19 patients ( 1 – 3 ); 4) the timing and extent of community mitigation measures; 5) diagnostic testing capacity; and 6) public health reporting practices. Monitoring jurisdiction-level numbers of COVID-19 cases, deaths, and changes in incidence is critical for understanding community risk and making decisions about community mitigation, including social distancing, and strategic health care resource allocation. This analysis includes all laboratory-confirmed COVID-19 cases † reported to CDC during February 12–April 7 from health departments in all 50 U.S. states, eight U.S. territories and freely associated states, DC, and NYC. Beginning on March 3, jurisdictions reported aggregate numbers of cases and deaths daily. Cases and deaths reported by the state of New York are exclusive of those reported by NYC. National and jurisdiction-specific case doubling times for the 10 jurisdictions with the most cases were estimated for April 7 by calculating the number of days before April 7 in which the observed cases were equal to half that reported on April 7. National and jurisdiction-specific cumulative incidences were estimated using 2018 population estimates. § Absolute 7-day changes in cumulative incidence were calculated by subtracting the jurisdiction-specific cumulative incidence on March 31 from that observed on April 7. As of April 7, a total of 395,926 COVID-19 cases were reported in the United States (Table). Cases were reported by all 50 states, DC, NYC, Guam, the Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands. Two thirds of all COVID-19 cases (66.7%) were reported by eight jurisdictions: NYC (76,876), New York (61,897), New Jersey (44,416), Michigan (18,970), Louisiana (16,284), California (15,865), Massachusetts (15,202), and Pennsylvania (14,559) (Figure 1). The overall cumulative COVID-19 incidence in the United States was 119.6 cases per 100,000 population on April 7 (Table). Among jurisdictions in the continental United States, cumulative incidence was lowest in Minnesota (20.6) and highest in NYC (915.3). Nine reporting jurisdictions had rates above the national rate: NYC (915.3), New York (555.5), New Jersey (498.6), Louisiana (349.4), Massachusetts (220.3), Connecticut (217.8), Michigan (189.8), DC (172.4), and Rhode Island (133.7). TABLE Reported COVID-19 cases and deaths and estimated cumulative incidence,* March 31 and April 7, 2020, and change in cumulative incidence from March 31 to April 7, 2020 — U.S. jurisdictions Jurisdiction March 31 April 7 March 31–April 7 No. of cases Cumulative incidence* No. of cases No. (%) of deaths Cumulative incidence* Absolute change in cumulative incidence* States, District of Columbia, and New York City Alabama 999 20.4 2,197 39 (1.8) 44.9 24.5 Alaska 133 18.0 213 6 (2.8) 28.9 10.8 Arizona 1,289 18.0 2,575 73 (2.8) 35.9 17.9 Arkansas 560 18.6 993 18 (1.8) 32.9 14.4 California 8,131 20.6 15,865 374 (2.4) 40.1 19.6 Colorado 2,966 52.1 5,429 179 (3.3) 95.3 43.2 Connecticut 3,128 87.6 7,781 277 (3.6) 217.8 130.2 Delaware 319 33.0 928 16 (1.7) 95.9 63.0 District of Columbia 495 70.5 1,211 24 (2.0) 172.4 101.9 Florida 6,490 30.5 14,302 296 (2.1) 67.1 36.7 Georgia 4,585 43.6 9,713 351 (3.6) 92.3 48.7 Hawaii 185 13.0 362 5 (1.4) 25.5 12.5 Idaho 525 29.9 1,210 15 (1.2) 69.0 39.0 Illinois 5,994 47.0 13,549 380 (2.8) 106.3 59.3 Indiana 2,159 32.3 5,507 173 (3.1) 82.3 50.0 Iowa 497 15.7 1,048 26 (2.5) 33.2 17.5 Kansas 428 14.7 900 27 (3.0) 30.9 16.2 Kentucky 591 13.2 1,149 65 (5.7) 25.7 12.5 Louisiana 5,237 112.4 16,284 582 (3.6) 349.4 237.1 Maine 303 22.6 519 12 (2.3) 38.8 16.1 Maryland 1,660 27.5 5,529 124 (2.2) 91.5 64.0 Massachusetts 6,620 95.9 15,202 356 (2.3) 220.3 124.3 Michigan 7,615 76.2 18,970 845 (4.5) 189.8 113.6 Minnesota 689 12.3 1,154 39 (3.4) 20.6 8.3 Mississippi 1,073 35.9 2,003 67 (3.3) 67.1 31.1 Missouri 1,327 21.7 3,037 53 (1.7) 49.6 27.9 Montana 203 19.1 332 6 (1.8) 31.3 12.1 Nebraska 177 9.2 478 10 (2.1) 24.8 15.6 Nevada 1,113 36.7 2,087 71 (3.4) 68.8 32.1 New Hampshire 367 27.1 747 13 (1.7) 55.1 28.0 New Jersey 18,696 209.9 44,416 1,232 (2.8) 498.6 288.7 New Mexico 315 15.0 794 13 (1.6) 37.9 22.9 New York† 32,656 293.1 61,897 1,378 (2.2) 555.5 262.4 New York City 41,771 497.3 76,876 4,111 (5.3) 915.3 418.0 North Carolina 1,584 15.3 3,221 46 (1.4) 31.0 15.8 North Dakota 126 16.6 237 4 (1.7) 31.2 14.6 Ohio 2,199 18.8 4,782 167 (3.5) 40.9 22.1 Oklahoma 565 14.3 1,472 67 (4.6) 37.3 23.0 Oregon 690 16.5 1,181 33 (2.8) 28.2 11.7 Pennsylvania 4,843 37.8 14,559 240 (1.6) 113.7 75.9 Rhode Island 520 49.2 1,414 30 (2.1) 133.7 84.6 South Carolina 1,083 21.3 2,417 51 (2.1) 47.5 26.2 South Dakota 108 12.2 320 6 (1.9) 36.3 24.0 Tennessee 2,239 33.1 4,139 72 (1.7) 61.1 28.1 Texas 3,266 11.4 8,262 154 (1.9) 28.8 17.4 Utah 934 29.5 1,804 13 (0.7) 57.1 27.5 Vermont 293 46.8 575 23 (4.0) 91.8 45.0 Virginia 1,484 17.4 3,645 75 (2.1) 42.8 25.4 Washington 4,896 65.0 8,682 394 (4.5) 115.2 50.2 West Virginia 162 9.0 412 4 (1.0) 22.8 13.8 Wisconsin 1,351 23.2 2,578 92 (3.6) 44.3 21.1 Wyoming 120 20.8 221 0 (—) 38.3 17.5 Territories and freely associated states American Samoa 0 0.0 0 0 (—) 0.0 0.0 Federated States of Micronesia 0 0.0 0 0 (—) 0.0 0.0 Guam 71 42.8 122 4 (3.3) 73.6 30.8 Marshall Islands 0 0.0 0 0 (—) 0.0 0.0 Northern Mariana Islands 2 3.5 8 2 (25.0) 14.1 10.5 Palau 0 0.0 0 0 (—) 0.0 0.0 Puerto Rico 239 7.5 573 23 (4.0) 17.9 10.5 U.S. Virgin Islands 30 28.0 45 1 (2.2) 42.1 14.0 U.S. Total 186,101 56.2 395,926 12,757 (3.2) 119.6 63.4 * Cases per 100,000 population. † Excludes New York City. FIGURE 1 Cumulative number of reported COVID-19 cases, by jurisdiction — selected U.S. jurisdictions,* ,† April 7, 2020 Abbreviation: COVID-19 = coronavirus disease 2019 * Restricted to U.S. reporting jurisdictions with ≥5,000 COVID-19 cases reported as of April 7, 2020. † Data from New York are exclusive of New York City. The figure is a bar chart showing the cumulative number of reported COVID-19 cases in selected U.S. jurisdictions, by jurisdiction, as of April 7, 2020. On April 7, nationwide case doubling time was approximately 6.5 days. Among the 10 jurisdictions reporting the most cases, doubling time ranged from 5.5 days in Louisiana to 8.0 days in NYC. During March 31–April 7, the overall cumulative incidence of COVID-19 increased by 63.4 cases per 100,000 (Table). This increase ranged from 8.3 in Minnesota to 418.0 in NYC. During the 7-day period, increases in 11 jurisdictions exceeded the national increase: NYC (418.0), New Jersey (288.7), New York (262.4), Louisiana (237.1), Connecticut (130.2), Massachusetts (124.3), Michigan (113.6), DC (101.9), Rhode Island (84.6), Pennsylvania (75.9), and Maryland (64.0) (Figure 2). FIGURE 2 Cumulative incidence* of COVID-19, by report date — selected U.S. jurisdictions, † , § March 10–April 7, 2020 Abbreviation: COVID-19 = coronavirus disease 2019. * Cases per 100,000 population. † Restricted to the 11 jurisdictions reporting the largest absolute increase in COVID-19 cumulative incidence during the most recent 7-day reporting period, March 31–April 7, 2020. § Data from New York are exclusive of New York City. The figure is a line graph showing the cumulative incidence of COVID-19 for selected U.S. jurisdictions, by report date, during March 10–April 7, 2020. By April 7, 55 (98.2%) of the 56 jurisdictions reporting COVID-19 cases also reported at least one related death (Table); however, approximately half (52.7%) of all deaths (12,757) were reported from three jurisdictions: NYC (4,111), New York (1,378), and New Jersey (1,232) (Figure 3). Other jurisdictions reporting ≥300 deaths included Michigan (845), Louisiana (582), Washington (394), Illinois (380), California (374), Massachusetts (356), and Georgia (351). Case-fatality ratios ranged from 0.7% in Utah to 5.7% in Kentucky. FIGURE 3 Number of reported COVID-19–related deaths, by jurisdiction — selected U.S. jurisdictions,* ,† April 7, 2020 Abbreviation: COVID-19 = coronavirus disease 2019. * Restricted to U.S. reporting jurisdictions with ≥5,000 COVID-19 cases reported as of April 7, 2020. † Data from New York are exclusive of New York City. The figure is a bar chart showing the number of reported COVID-19–related deaths in selected U.S. jurisdictions, by jurisdiction, as of April 7, 2020. Discussion As of April 7, 2020, a total of 395,926 COVID-19 cases, including 12,757 deaths, were reported in the United States. The national cumulative incidence of 119.6 COVID-19 cases per 100,000 obscures significant geographic variation across reporting jurisdictions, with cumulative incidence in the continental U.S. ranging from 20.6 to 915.3 cases per 100,000. Increases in cumulative incidence during the most recent 7-day period (March 31–April 7) also varied widely, from 8.3 to 418.0 cases per 100,000. Geographic variation in numbers of COVID-19 cases and deaths, cumulative incidence, and changes in cumulative incidence likely reflects differences in epidemiologic and population factors as well as clinical and public health practices. Differences in the timing of introduction and early transmission of SARS-CoV-2 (the virus that causes COVID-19) across jurisdictions might explain some of the observed geographic variation. The first documented U.S. cases of COVID-19 were among travelers returning from China and their immediate household contacts ( 4 ). During the third week of February, California, Oregon, and Washington reported the first U.S. cases with no known travel to China or exposure to a person with confirmed COVID-19. Case investigations indicated community transmission in these jurisdictions. Although one case of COVID-19 with an unknown exposure was reported during the fourth week of February in Florida, other cases with unknown exposure (i.e., community transmission) were not widely reported elsewhere until early March. Because COVID-19 is primarily transmitted by respiratory droplets, population density might also play a significant role in the acceleration of transmission. Cumulative incidence in urban areas like NYC and DC exceeds the national average. Louisiana, which experienced a temporarily high population density because of an influx of visitors during Mardi Gras celebrations in mid-February, has a higher cumulative incidence and greater increase in cumulative incidence than other states in the South. Mardi Gras, which concluded on February 25, occurred at a time when cancelling mass gatherings (e.g., festivals, conferences, and sporting events) was not yet common in the United States. ¶ The differential implementation and timing of community mitigation strategies across jurisdictions might have contributed to observed variation in incidence and changing incidences in this analysis. Community mitigation strategies, including school and workplace closures, cancellation of mass gatherings, and shelter-in-place orders, are recommended public health practices to reduce transmission during pandemics ( 5 ). COVID-19 modeling estimates suggest that mitigation could lead to substantial reductions in rates of infection, hospitalization, critical care, and death in North America ( 6 ). The effectiveness of these strategies to mitigate rates of infection and poor outcomes relies on their timely implementation before high levels of community transmission have been observed ( 7 , 8 ). Differences in the availability of and approaches to SARS-CoV-2 testing, including testing patients across the spectrum of illness severity, likely contribute to geographic differences in COVID-19 incidence across jurisdictions. For example, the state of New York (excluding NYC) reported administering 4.9 tests per 1,000 population, which was higher than the national average of 1.6 (CDC, unpublished data, March 25, 2020); this expanded level of testing might have contributed to better ascertainment of cases and might partially explain the state’s higher case count and cumulative incidence. Jurisdictions that expanded public health and commercial laboratory testing later in March might also observe increases in cases and incidence as testing expands. Differences in the numbers of deaths across jurisdictions might reflect the degree to which COVID-19 has been introduced into populations at high risk for severe outcomes (e.g., older adults or those with a high prevalence of underlying medical conditions). In Washington, which reported rapid spread of COVID-19 in several skilled nursing and long-term care facilities ( 2 , 9 ), the high number of deaths observed (394 [4.5%] among 8,682 cases) partially reflects the age and underlying medical conditions of populations affected by the outbreak ( 1 , 3 ). Geographic differences in reported case-fatality ratios might also reflect differences in testing practices; jurisdictions with relatively high proportions of deaths might be those where testing has been more limited and restricted to the most severely ill. The findings in this report are subject to at least three limitations. First, reported COVID-19 cases are likely underestimated because of incomplete detection of cases and delays in case reporting. Reported deaths are also likely underestimated because of incomplete follow-up on all reported COVID-19 cases as well as death among persons infected with SARS-CoV-2 who did not receive a COVID-19 diagnosis. Second, the degree to which cases might go undetected or unreported varies across jurisdictions and might contribute significantly to the geographic variation observed in this analysis. Jurisdiction-level testing practices differ widely, and rapid increases in COVID-19 case detection have placed a high demand on health department infrastructure, leading to differential delays in case reporting. Finally, estimates of incidence, case-fatality ratios, and changes in incidence at the state and territorial levels might not be directly comparable across jurisdictions; further, COVID-19 “hotspots” and the effects of community mitigation efforts occurring within smaller geographic areas might be muted at this higher level of analysis. Approximately 396,000 COVID-19 cases and 12,800 related deaths were reported in the United States as of April 7. The nation’s 60 reporting jurisdictions are experiencing various levels of COVID-19 transmission, resulting in substantial geographic differences in numbers of cases and deaths, incidence, and changes in incidence. Monitoring changes in numbers of reported cases and disease incidence within jurisdictions over time is critical to understanding and responding to the evolving local epidemiology of this outbreak. A clear picture of the magnitude and changing incidence within a jurisdiction will inform decisions regarding implementation of community mitigation strategies, including social distancing, and strategic allocation of human and capital resources, such as those supporting the health care infrastructure. Summary What is already known about this topic? Community transmission of COVID-19 was first detected in the United States in February 2020. By mid-March, all 50 states, the District of Columbia, New York City, and four U.S. territories had reported cases of COVID-19. What is added by this report? As of April 7, cumulative incidence of COVID-19 ranged widely across U.S. jurisdictions (from 20.6 to 915.3 cases per 100,000) and 7-day increases in incidence varied considerably (from 8.3 to 418.0). This report highlights geographic differences in cases, deaths, incidence, and changing incidence. What are the implications for public health practice? Monitoring jurisdiction-level numbers of COVID-19 cases, deaths, and changes in incidence is critical for understanding community risk and making decisions about community mitigation, including social distancing, and strategic health care resource allocation.
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              Spatial epidemic dynamics of the COVID-19 outbreak in China

              Highlights • Spatial dynamics of the COVID-2019 in mainland China were examined. • Moran’s I spatial statistic was used with different types of neighbourhoods. • Population-related and medical care-related information were considered. • There is a need for spatial analysis to prevent the spread of infectious diseases.
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                Author and article information

                Contributors
                m.Jahangiri@iautmu.ac.ir
                Journal
                J Environ Health Sci Eng
                J Environ Health Sci Eng
                Journal of Environmental Health Science and Engineering
                Springer International Publishing (Cham )
                2052-336X
                12 October 2020
                : 1-9
                Affiliations
                [1 ]GRID grid.46072.37, ISNI 0000 0004 0612 7950, College of Engineering, Faculty of Environment, Department of Environmental Planning, Management and Education, , University of Tehran, ; Tehran, Iran
                [2 ]GRID grid.411705.6, ISNI 0000 0001 0166 0922, Student Scientific Research Center (SSRC), , Tehran University of Medical Sciences, ; Tehran, Iran
                [3 ]GRID grid.411705.6, ISNI 0000 0001 0166 0922, Department of Environmental Health Engineering, School of Public Health, , Tehran University of Medical Sciences, ; Tehran, Iran
                [4 ]GRID grid.411463.5, ISNI 0000 0001 0706 2472, Department of Environmental Health Engineering, School of Health and Medical Engineering, Tehran Medical Sciences, , Islamic Azad University, ; Tehran, Iran
                [5 ]GRID grid.411463.5, ISNI 0000 0001 0706 2472, Water Purification Research Center, Tehran Medical Sciences, , Islamic Azad University, ; Tehran, Iran
                Article
                565
                10.1007/s40201-020-00565-x
                7550202
                33072340
                b2655f48-ff41-47ce-8324-de51baa95c09
                © Springer Nature Switzerland AG 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 26 July 2020
                : 7 October 2020
                Categories
                Research Article

                covid-19,cumulative incidence rates (cir),cumulative mortality rate (cmr),hot/cold spots,spatial analysis

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