Literature DB >> 33592163

Intraregional propagation of Covid-19 cases in Pará, Brazil: assessment of isolation regime to lockdown.

Félix Lélis da Silva1,2, Javier Dias Pita1,2, Maryjane Diniz A Gomes1,2, Andréa P Lélis da Silva3, Gabriel Lélis P da Silva4.   

Abstract

Due to the high incidence of COVID-19 case numbers internationally, the World Health Organization (WHO) declared a Public Health Emergency of global relevance, advising countries to follow protocols to combat pandemic advance through actions that can reduce spread and consequently avoid a collapse in the local health system. This study aimed to evaluate the dynamics of the evolution of new community cases, and mortality records of COVID-19 in the State of Pará, which has a subtropical climate with temperatures between 20 and 35 °C, after the implementation of social distancing by quarantine and adoption of lockdown. The follow-up was carried out by the daily data from the technical bulletins provided by the State of Pará Public Health Secretary (SESPA). On 18 March 2020, Pará notified the first case of COVID-19. After 7 weeks, the number of confirmed cases reached 4756 with 375 deaths. The results show it took 49 days for 81% of the 144 states municipalities, distributed over an area of approximately 1 248 000 km2 to register COVID-19 cases. Temperature variations between 24.5 and 33.1 °C did not promote the decline in the new infections curve. The association between social isolation, quarantine and lockdown as an action to contain the infection was effective in reducing the region's new cases registration of COVID-19 in the short-term. However, short periods of lockdown may have promoted the virus spread among peripheral municipalities of the capital, as well as to inland regions.

Entities:  

Keywords:  Advance; contagion; control; coronavirus; syndrome

Mesh:

Year:  2021        PMID: 33592163      PMCID: PMC7985889          DOI: 10.1017/S095026882100039X

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  33 in total

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Journal:  Sci Total Environ       Date:  2020-04-20       Impact factor: 7.963

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Journal:  Environ Pollut       Date:  2020-04-04       Impact factor: 8.071

8.  Real-time estimation and prediction of mortality caused by COVID-19 with patient information based algorithm.

Authors:  Lishi Wang; Jing Li; Sumin Guo; Ning Xie; Lan Yao; Yanhong Cao; Sara W Day; Scott C Howard; J Carolyn Graff; Tianshu Gu; Jiafu Ji; Weikuan Gu; Dianjun Sun
Journal:  Sci Total Environ       Date:  2020-04-08       Impact factor: 7.963

9.  Early dynamics of transmission and control of COVID-19: a mathematical modelling study.

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Journal:  Environ Res       Date:  2020-05-29       Impact factor: 6.498

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