Mobility in cities of Peru during the COVID-19 pandemic
Introduction: Real-time mobility data from Wuhan, China, and detailed case data, including travel history, was of vital importance for the control of COVID-19, in order to determine the impact of control measures. Objective: to analyze the cases reported in the five most affected regions by COVID-...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Spanish |
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Universidad de Ciencias Médicas de Guantánamo
2021-02-01
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| Series: | Revista Información Científica |
| Subjects: | |
| Online Access: | http://www.revinfcientifica.sld.cu/index.php/ric/article/view/3164 |
| Summary: | Introduction: Real-time mobility data from Wuhan, China, and detailed case data, including travel history, was of vital importance for the control of COVID-19, in order to determine the impact of control measures.
Objective: to analyze the cases reported in the five most affected regions by COVID-19 in Peru, and its correlation with mobility data.
Method: data of the confirmed cases of COVID-19 obtained from the Centro Nacional de Epidemiologia, Prevención y Control de Enfermedades de Perú (National Center for Epidemiology, Prevention and Control of Diseases of Peru) (https://www.dge.gob.pe/) in the period from 6 From March until August 17, 2020 were included; and the regions with the highest number of cases (CDC-Peru) (Arequipa, Callao, Lima, Lambayeque and Piura) were selected. The mobility data was obtained from the Local Mobility Reports (Community Mobility Reports-Google Mobility Reports) (https://www.google.com/covid19/mobility/) of Peru and downloaded in a CSV file. The categories included in the mobility reports were: retail stores and leisure, public transport stations, workplaces and residential areas.
Results: 165 data found in Google Mobility Reports were analyzed; these having a daily data frequency. The same amount of data was obtained from the CDC-Peru. A drop was observed in all places studied except for residential areas in the country. Regarding associations, a negative correlation was found only in residential areas.
Conclusion: there was a reduction in mobility due to quarantine, and staying at home is a factor to avoid infections. |
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| ISSN: | 1028-9933 1028-9933 |