Dataset Information

Molecular testing and analysis of disease spreading during the emergence of COVID-19 in Macae, the Brazilian National Capital of Oil.

ABSTRACT: The Brazilian strategy to overcome the spread of COVID-19 has been particularly criticized due to the lack of a national coordinating effort and an appropriate testing program. Here, a successful approach to control the spread of COVID-19 transmission is described by the engagement of public (university and governance) and private sectors (hospitals and oil companies) in Macaé, state of Rio de Janeiro, Brazil, a city known as the National Oil Capital. In 2020 between the 17th and 38th epidemiological week, over two percent of the 206,728 citizens were subjected to symptom analysis and RT-qPCR testing by the Federal University of Rio de Janeiro, with positive individuals being notified up to 48 h after swab collection. Geocodification and spatial cluster analysis were used to limit COVID-19 spreading in Macaé. Within the first semester after the outbreak of COVID-19 in Brazil, Macaé recorded 1.8% of fatalities associated with COVID-19 up to the 38th epidemiological week, which was at least five times lower than the state capital (10.6%). Overall, considering the successful experience of this joint effort of private and public engagement in Macaé, our data suggest that the development of a similar strategy countrywise could have contributed to a better control of the COVID-19 spread in Brazil. Quarantine decree by the local administration, comprehensive molecular testing coupled to scientific analysis of COVID-19 spreading, prevented the catastrophic consequences of the pandemic as seen in other populous cities within the state of Rio de Janeiro and elsewhere in Brazil.

SUBMITTER: Feitosa NM

PROVIDER: S-EPMC8505656 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Molecular testing and analysis of disease spreading during the emergence of COVID-19 in Macaé, the Brazilian National Capital of Oil.

Feitosa Natália Martins NM da Costa Rodrigues Bruno B Petry Ana Cristina AC Nocchi Keity Jaqueline Chagas Vilela KJCV de Moraes Brindeiro Rodrigo R Zilberberg Carla C Monteiro-de-Barros Cintia C Mury Flavia Borges FB de Souza-Menezes Jackson J Nepomuceno-Silva José Luciano JL da Silva Manuela Leal ML de Medeiros Marcio José MJ de Souza Gestinari Raquel R da Silva de Alvarenga Alessandra A Pozzobon Allan Pierre Bonetti APB Silva Carina Azevedo Oliveira CAO das Graças Dos Santos Daniele D Silvestre Diego Henrique DH de Sousa Graziele Fonseca GF de Almeida Janimayri Forastieri JF da Silva Jhenifer Nascimento JN Brandão Layza Mendes LM de Oliveira Drummond Leandro L Neto Lupis Ribeiro Gomes LRG de Mello Carpes Raphael R Dos Santos Renata Coutinho RC Portal Taynan Motta TM Tanuri Amilcar A Nunes-da-Fonseca Rodrigo R

Scientific reports 20211011 1

The Brazilian strategy to overcome the spread of COVID-19 has been particularly criticized due to the lack of a national coordinating effort and an appropriate testing program. Here, a successful approach to control the spread of COVID-19 transmission is described by the engagement of public (university and governance) and private sectors (hospitals and oil companies) in Macaé, state of Rio de Janeiro, Brazil, a city known as the National Oil Capital. In 2020 between the 17th and 38th epidemiolo ...[more]

PMID: 34635707

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Project description:Globally, since the end of December 2019, coronavirus disease (COVID-19) has been recognized as a severe infectious disease. Therefore, this study has been attempted to examine the linkage between climatic variables and COVID-19 particularly in National Capital Territory of Delhi (NCT of Delhi), India. For this, daily data of COVID-19 has been used for the period March 14 to June 11, 2020, (90 days). Eight climatic variables such as maximum, minimum and mean temperature (°C), relative humidity (%), bright sunshine hours, wind speed (km/h), evaporation (mm), and rainfall (mm) have been analyzed in relation to COVID-19. To study the relationship among different climatic variables and COVID-19 spread, Karl Pearson’s correlation analysis has been performed. The Mann–Kendall method and Sen’s slope estimator have been used to detect the direction and magnitude of COVID-19 trends, respectively. The results have shown that out of eight selected climatic variables, six variables, viz. maximum temperature, minimum temperature, mean temperature, relative humidity, evaporation, and wind speed are positively associated with coronavirus disease cases (statistically significant at 95 and 99% confidence levels). No association of coronavirus disease has been found with bright sunshine hours and rainfall. Besides, COVID-19 cases and deaths have shown increasing trends, significant at 99% confidence level. The results of this study suggest that climatic conditions in NCT of Delhi are favorable for COVID-19 and the disease may spread further with the increasing temperature, relative humidity, evaporation and wind speed. This is the only study which has presented the analysis of COVID-19 spread in relation to several climatic variables for the most densely populated and rapidly growing city of India. Thus, considering the results obtained, effective policies and actions are necessary especially by identifying the areas where the spread rate is increasing rapidly in this megacity. The prevention and protection measures should be adopted aiming at to reduce the further transmission of disease in the city.

Dataset Information

Molecular testing and analysis of disease spreading during the emergence of COVID-19 in Macae, the Brazilian National Capital of Oil.

Publications

Molecular testing and analysis of disease spreading during the emergence of COVID-19 in Macaé, the Brazilian National Capital of Oil.

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