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Clustering of countries according to the COVID-19 incidence and mortality rates.
Gohari, Kimiya; Kazemnejad, Anoshirvan; Sheidaei, Ali; Hajari, Sarah.
  • Gohari K; Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, P.O. BOX 14115-111, Tehran, Iran.
  • Kazemnejad A; Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, P.O. BOX 14115-111, Tehran, Iran. kazem_an@modares.ac.ir.
  • Sheidaei A; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
  • Hajari S; Department of Computer Science, University of the Sunshine Coast, Sippy Downs, Queensland, Australia.
BMC Public Health ; 22(1): 632, 2022 04 01.
Article in English | MEDLINE | ID: covidwho-1770517
ABSTRACT

BACKGROUND:

Two years after the beginning of the COVID-19 pandemic on December 29, 2021, there have been 281,808,270 confirmed cases of COVID-19, including 5,411,759 deaths. This information belongs to almost 216 Countries, areas, or territories facing COVID-19. The disease trend was not homogeneous across these locations, and studying this variation is a crucial source of information for policymakers and researchers. Therefore, we address different patterns in mortality and incidence of COVID-19 across countries using a clustering approach.

METHODS:

The daily records of new cases and deaths of 216 countries were available on the WHO online COVID-19 dashboard. We used a three-step approach for identifying longitudinal patterns of change in quantitative COVID-19 incidence and mortality rates. At the first, we calculated 27 summary measurements for each trajectory. Then we used factor analysis as a dimension reduction method to capture the correlation between measurements. Finally, we applied a K-means algorithm on the factor scores and clustered the trajectories.

RESULTS:

We determined three different patterns for the trajectories of COVID-19 incidence and the three different ones for mortality rates. According to incidence rates, among 206 countries the 133 (64.56) countries belong to the second cluster, and 15 (7.28%) and 58 (28.16%) belong to the first and 3rd clusters, respectively. All clusters seem to show an increased rate in the study period, but there are several different patterns. The first one exhibited a mild increasing trend; however, the 3rd and the second clusters followed the severe and moderate increasing trend. According to mortality clusters, the frequency of sets is 37 (18.22%) for the first cluster with moderate increases, 157 (77.34%) for the second one with a mild rise, and 9 (4.34%) for the 3rd one with severe increase.

CONCLUSIONS:

We determined that besides all variations within the countries, the pattern of a contagious disease follows three different trajectories. This variation looks to be a function of the government's health policies more than geographical distribution. Comparing this trajectory to others declares that death is highly related to the nature of epidemy.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: S12889-022-13086-Z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: S12889-022-13086-Z