Literature DB >> 32682420

Changes in the spatial distribution of COVID-19 incidence in Italy using GIS-based maps.

Cecilia Acuti Martellucci1,2, Ranjit Sah3, Ali A Rabaan4, Kuldeep Dhama5, Cristina Casalone6, Kovy Arteaga-Livias7,8, Toyoaki Sawano9,10, Akihiko Ozaki11,12, Divya Bhandari12, Asaka Higuchi12, Yasuhiro Kotera13, Zareena Fathah14, Namrata Roy15, Mohammed Ateeq Ur Rahman16, Tetsuya Tanimoto12, Alfonso J Rodriguez-Morales17,18,19.   

Abstract

Entities:  

Keywords:  COVID-19; Geographical information systems; Italy; Pandemic; SARS-CoV-2

Mesh:

Year:  2020        PMID: 32682420      PMCID: PMC7368601          DOI: 10.1186/s12941-020-00373-z

Source DB:  PubMed          Journal:  Ann Clin Microbiol Antimicrob        ISSN: 1476-0711            Impact factor:   3.944


× No keyword cloud information.
Dear editor Massive spreading of the pandemic Coronavirus Disease 2019 (COVID-19) in different continents [1, 2], have been observed [3]. Analyses mostly focused on the number of cases per country and administrative levels, multiple times without considering the relevance of the incidence rates. These help to see the concentration of disease among the population in terms of cases per 100,000 inhabitants. Even more, using geographical information systems (GIS)-based maps, stakeholders may rapidly analyze changes in the epidemiological situation [4-7]. Although the epidemic of COVID-19 caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started in Italy on January 31, 2020, no reports on the use of GIS-based maps have been published to analyze the distinct differences in incidence rates across its regions and provinces during the last months. For these reasons, we have developed epidemiological maps of incidence rates using official populations, by regions (1st administrative level of the country) and provinces (2nd administrative level), for COVID-19 in Italy using GIS. Surveillance cases data of the cumulative number at March 15, April 18, and June 8, 2020, officially reported by the Italian health authorities were used to estimate the cumulated incidence rates on those dates using reference population data on SARS-CoV-2 confirmed infections (cases/100,000 pop) and to develop the maps by regions and provinces, using the GIS software Kosmo® 3.1, as performed in previous related studies [6, 7]. Starting on March 8, 2020, the region of Lombardy, together with 14 additional northern and central provinces, in Piedmont, Emilia-Romagna, Veneto, and Marche, they were put under lockdown. On March 10, 2020, the government extended the lockdown measures to the whole country. Up to March 15, 2020, after 44 days of epidemics, 24,053 cases of COVID-19 were reported in the country, for a cumulated rate of 39.6 cases/100,000 population, reaching 174,103 cases during April 18, 2020, for a rate of 286.78, and 232,855 cases during June 8, 2020, for a rate of 383.56. All the regions of the country have been affected, with rates ranging from 59.42 (Calabria) to 947.75 cases/100,000 population (Aosta Valley/Vallée d’Aoste) (June 8, 2020) (Fig. 1). Higher diversity is found in provinces, where incidence rates ranged from 28.23 (Sud Sardegna, Sardinia) to 1811.37 (Cremona, Lombardy) (June 8, 2020) (Table 1). At Lombardy are located five of the top ten provinces with higher incidence rates (Table 1, Fig. 1), with considerable increases and changes from March 15, 2020, to June 8, 2020, in approximately 3 months (Fig. 1, Table 1). Cremona (Lombardy), Piacenza (Emilia-Romagna), and Lodi (Lombardy) have become in the geographic core of the cumulated incidence rate of COVID-19 in the north of the country and Italy (Fig. 1).
Fig. 1

COVID-19 situation in Italy, on March 15, April 18, and June 8, 2020, by regions and provinces

Table 1

Top ten provinces by incidence rate (cases/100,000 inhabitants), of COVID-19, Italy, on March 15, April 18, and June 8, 2020

RegionProvincePopulationaCasesbIncidence ratesc
15-Mar18-Apr8-Jun15-Mar18-Apr8-Jun
LombardyCremona358,955179254076502499.231506.321811.37
Emilia-RomagnaPiacenza287,152101232994506352.431148.871569.20
LombardyLodi230,198132027143502573.421178.991521.30
LombardyBergamo1,114,590341610,62913,609306.48953.621220.99
LombardyBrescia1,265,954247311,75815,070195.35928.791190.41
LombardyPavia545,88872235365418132.26647.75992.51
Aosta Valley/Vallée d’AosteAosta Valley/Vallée d’Aoste125,666571073119145.36853.85947.75
PiedmontAlessandria421,2842072752396849.14653.24941.88
Emilia-RomagnaReggio nell’Emilia531,8911854217496234.78792.83932.90
PiedmontAsti214,638871038185740.53483.60865.18

aFrom ISTAT. “Italian National Institute of Statistics—Resident Population.” Demographic Statistics. Accessible at http://demo.istat.it/. Accessed on 8 June 2020

bItalian Civil Protection Department [COVID-19 Italy—Situation monitoring]. Accessible at http://opendatadpc.maps.arcgis.com/apps/opsdashboard/index.html#/b0c68bce2cce478eaac82fe38d4138b1. Accessed on 8 June 2020

cCases per 100,000 inhabitants

COVID-19 situation in Italy, on March 15, April 18, and June 8, 2020, by regions and provinces Top ten provinces by incidence rate (cases/100,000 inhabitants), of COVID-19, Italy, on March 15, April 18, and June 8, 2020 aFrom ISTAT. “Italian National Institute of Statistics—Resident Population.” Demographic Statistics. Accessible at http://demo.istat.it/. Accessed on 8 June 2020 bItalian Civil Protection Department [COVID-19 Italy—Situation monitoring]. Accessible at http://opendatadpc.maps.arcgis.com/apps/opsdashboard/index.html#/b0c68bce2cce478eaac82fe38d4138b1. Accessed on 8 June 2020 cCases per 100,000 inhabitants From the GIS-based maps, it is clear that spreading in the country is occurring from north regions and provinces such as Lombardy. On March 15, 2020, most of the southern regions were not affected (Fig. 1), but approximately a month later, all of them reported COVID-19 cases (Fig. 1), including the insular regions of Sicily and Sardinia. While the change between April 18 and June 8, has been 33%, there is still a concern in the country, mainly because, in this time, the number of deaths has reached over 34,000 deaths (14.6%). Italy reached the top of countries with the highest number of reported COVID-19 cases, now is the ninth country in cumulated cases. It is the fourth in the European region, after Russia, the United Kingdom, and Spain. Italy represented one of the most significant sources of imported cases for other continents, as is the case of Latin America, that received their first cases from Milan, Lombardy [8-10]. Patient 1 of Italy (it was not possible to find patient 0) was discovered on February 20, 2020, when a 38-year-old man from the city of Codogno had shown up at the hospital. Since that date, two large clusters of outbreaks have spread first in Northern Italy, later all over the country (Fig. 1) [11]. Cases are multiplying, and the national healthcare system is collapsing [12-14]. Many regions are increasing intensive care beds, revolutionizing entire hospital wards. In Italy, the coordination of the swabs is managed regionally. Once the epidemic began, for example, the Veneto region started immediately with active surveillance, i.e., on asymptomatic, and this contained the spread of the virus compared to other Northern Regions. The health system is indeed regionalized, and dispositions of the Ministry of Health are translated into multiple regional decrees and regulations, often at different timings [15]. Many regions, for example, adopted evolving criteria for testing and diagnosis, according to dispositions from the central Government, but also to test capacity, which was heavily reliant on the availability of reagents. Samples were collected either in healthcare facilities, in provisional collection points, or even in people’s houses, depending on the region and the phase of the pandemic. The epitome of these differences is the two most heavily affected regions, Lombardy and Veneto. Lombardy hospitalized, even cases with relatively modest symptoms, causing numerous nosocomial outbreaks (9% of infections were among health professionals until March). Veneto, instead, deployed widespread testing since the beginning, maintaining disease management as much as possible at the primary health care level [15]. The healthcare workers are facing COVID-19 pulling 12 h shifts in critical situations with minimal to non-existent personal protective equipment (PPE) [12-14]. Lacking PPE led both many healthcare workers to become COVID-19 positive (7145), and to the death of several doctors (51; about 9% of the total cases; March 27, 2020) [11]. As observed in the GIS-based maps, the COVID-19 spreading in the country has been significant and moving from north to south across the time, with provinces reaching more than 1000 cases per 100,000 inhabitants (Fig. 1) [12-14]. Differences in the incidence by regions would be related to different social and economic factors. Such as people who travel abroad, for whom there is a sharp difference between northern regions (about 26% of travelers) and central and southern regions (about 19%). Or net income at the household level, which is ranging from 35,000€ in the North-east to 26,000€ in the South [16]. Additionally, as has been recently suggested, climatic conditions could also influence the transmission of SARS-CoV-2 [17]. Testing capacity increased over time. While some degree of ascertainment bias is inevitable, the number of swabs performed nationally stabilized around 70,000 per day in mid-April when the peak in the number of active cases was registered (Fig. 1). From that point onwards, daily cases only decreased, consistently with the impact of the lockdown imposed in early March. Besides, and most importantly, while it is true that the epidemic might have gone undetected for some time before Case 1 was discovered in Codogno, the growth in ICU beds demand for subjects with respiratory failure that ensued in the following weeks is most likely explained by a substantial increase of cases. Considering the limitations of diagnostics and the asymptomatic cases, these figures would be many times more. Further characterization studies should include multiple GIS-based maps with other variables at the regions and provinces levels such as deaths, hospitalizations, and ICU rates per population to understand better the critical situation of the country and its administrative levels.
  16 in total

1.  History is repeating itself: Probable zoonotic spillover as the cause of the 2019 novel Coronavirus Epidemic

Authors:  Alfonso J Rodriguez-Morales; D Katterine Bonilla-Aldana; Graciela Josefina Balbin-Ramon; Ali A Rabaan; Ranjit Sah; Alberto Paniz-Mondolfi; Pasquale Pagliano; Silvano Esposito
Journal:  Infez Med       Date:  2020-03-01

2.  What Other Countries Can Learn From Italy During the COVID-19 Pandemic.

Authors:  Stefania Boccia; Walter Ricciardi; John P A Ioannidis
Journal:  JAMA Intern Med       Date:  2020-07-01       Impact factor: 21.873

3.  Coronavirus Disease 2019 (COVID-19) in Italy.

Authors:  Edward Livingston; Karen Bucher
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

4.  Mapping the Changes on Incidence, Case Fatality Rates and Recovery Proportion of COVID-19 in Afghanistan Using Geographical Information Systems.

Authors:  Sayed Hamid Mousavi; Shafi Ullah Zahid; Kalimullah Wardak; Kazim Ali Azimi; Sayed Mohammad Reza Hosseini; Marzia Wafaee; Kuldeep Dhama; Ranjit Sah; Ali A Rabaan; Kovy Arteaga-Livias; D Katterine Bonilla-Aldana; Alfonso J Rodriguez-Morales
Journal:  Arch Med Res       Date:  2020-06-18       Impact factor: 2.235

5.  COVID-19 in Latin America: The implications of the first confirmed case in Brazil.

Authors:  Alfonso J Rodriguez-Morales; Viviana Gallego; Juan Pablo Escalera-Antezana; Claudio A Méndez; Lysien I Zambrano; Carlos Franco-Paredes; Jose A Suárez; Hernan D Rodriguez-Enciso; Graciela Josefina Balbin-Ramon; Eduardo Savio-Larriera; Alejandro Risquez; Sergio Cimerman
Journal:  Travel Med Infect Dis       Date:  2020-02-29       Impact factor: 6.211

6.  COVID-19 is not just a flu. Learn from Italy and act now.

Authors:  Andrea De Giorgio
Journal:  Travel Med Infect Dis       Date:  2020-04-06       Impact factor: 6.211

7.  Mapping the incidence of the COVID-19 hotspot in Iran - Implications for Travellers.

Authors:  Zahra Arab-Mazar; Ranjit Sah; Ali A Rabaan; Kuldeep Dhama; Alfonso J Rodriguez-Morales
Journal:  Travel Med Infect Dis       Date:  2020-03-14       Impact factor: 6.211

8.  The temperature and regional climate effects on communitarian COVID-19 contagion in Mexico throughout phase 1.

Authors:  Fabiola Méndez-Arriaga
Journal:  Sci Total Environ       Date:  2020-05-19       Impact factor: 7.963

9.  Clinical features of the first cases and a cluster of Coronavirus Disease 2019 (COVID-19) in Bolivia imported from Italy and Spain.

Authors:  Juan Pablo Escalera-Antezana; Nicolas Freddy Lizon-Ferrufino; Americo Maldonado-Alanoca; Gricel Alarcón-De-la-Vega; Lucia Elena Alvarado-Arnez; María Alejandra Balderrama-Saavedra; D Katterine Bonilla-Aldana; Alfonso J Rodríguez-Morales
Journal:  Travel Med Infect Dis       Date:  2020-04-02       Impact factor: 6.211

Review 10.  COVID-19 and Italy: what next?

Authors:  Andrea Remuzzi; Giuseppe Remuzzi
Journal:  Lancet       Date:  2020-03-13       Impact factor: 79.321

View more
  6 in total

1.  Human choice to self-isolate in the face of the COVID-19 pandemic: A game dynamic modelling approach.

Authors:  Calistus N Ngonghala; Palak Goel; Daniel Kutor; Samit Bhattacharyya
Journal:  J Theor Biol       Date:  2021-03-23       Impact factor: 2.405

2.  Spatial temporal distribution of COVID-19 risk during the early phase of the pandemic in Malawi.

Authors:  Alfred Ngwira; Felix Kumwenda; Eddons C S Munthali; Duncan Nkolokosa
Journal:  PeerJ       Date:  2021-02-24       Impact factor: 2.984

3.  Meteorological factors' effects on COVID-19 show seasonality and spatiality in Brazil.

Authors:  Caichun Yin; Wenwu Zhao; Paulo Pereira
Journal:  Environ Res       Date:  2022-01-06       Impact factor: 8.431

4.  Functional data analysis characterizes the shapes of the first COVID-19 epidemic wave in Italy.

Authors:  Tobia Boschi; Jacopo Di Iorio; Lorenzo Testa; Marzia A Cremona; Francesca Chiaromonte
Journal:  Sci Rep       Date:  2021-08-30       Impact factor: 4.379

Review 5.  Kidney health in the COVID-19 pandemic: An umbrella review of meta-analyses and systematic reviews.

Authors:  Letian Yang; Jian Li; Wei Wei; Cheng Yi; Yajun Pu; Ling Zhang; Tianlei Cui; Liang Ma; Juqian Zhang; Jay Koyner; Yuliang Zhao; Ping Fu
Journal:  Front Public Health       Date:  2022-09-12

6.  Incidence and Outcomes of COVID-19 in People With CKD: A Systematic Review and Meta-analysis.

Authors:  Edmund Y M Chung; Suetonia C Palmer; Patrizia Natale; Anoushka Krishnan; Tess E Cooper; Valeria M Saglimbene; Marinella Ruospo; Eric Au; Sumedh Jayanti; Amy Liang; Danny Jia Jie Deng; Juanita Chui; Gail Y Higgins; Allison Tong; Germaine Wong; Armando Teixeira-Pinto; Elisabeth M Hodson; Jonathan C Craig; Giovanni F M Strippoli
Journal:  Am J Kidney Dis       Date:  2021-08-05       Impact factor: 11.072

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.