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1.
Article in English | MEDLINE | ID: mdl-35409558

ABSTRACT

To effectively combat the COVID-19 pandemic, countries with limited resources could only allocate intensive and non-intensive care units to a low number of regions. In this work, we evaluated the actual displacement of infected patients in search of care, aiming to understand how the networks of planned and actual hospitalizations take place. To assess the flow of hospitalizations outside the place of residence, we used the concepts of complex networks. Our findings indicate that the current distribution of health facilities in Bahia, Brazil, is not sufficient to effectively reduce the distances traveled by patients with COVID-19 who require hospitalization. We believe that unnecessary trips to distant hospitals can put both the sick and the healthy involved in the transport process at risk, further delaying the stabilization of the COVID-19 pandemic in each region of the state of Bahia. From the results found, we concluded that, to mitigate this situation, the implementation of health units in countries with limited resources should be based on scientific methods, and international collaborations should be established.


Subject(s)
COVID-19 , COVID-19/epidemiology , Health Facilities , Hospitalization , Hospitals , Humans , Pandemics
2.
Sci Rep ; 11(1): 11892, 2021 06 04.
Article in English | MEDLINE | ID: mdl-34088931

ABSTRACT

We investigated the relation between the spread, time scale, and spatial arrangement of dengue in Bahia, a Brazilian dry climate region, for the period 2000 to 2009. The degree of cross-correlation is calculated for 15 economic regions. We propose a multiscale statistical analysis to datasets of dengue cases in order to verify the effect of infection dispersal on the economic regions from the metropolitan region of Salvador. Our empirical results support a significant and persistent cross-correlation between most regions, reinforcing the idea that economic regions or climatic conditions are non-statistically significant in the spread of dengue in the State of Bahia. Our main contribution lies in the cross-correlation results revealing multiple aspects related to the propagation of dengue in dry climate regions.


Subject(s)
Dengue/epidemiology , Spatio-Temporal Analysis , Brazil/epidemiology , Climate , Databases, Factual , Dengue/transmission , Environment , Geography , Health Policy , Humans , Incidence , Models, Statistical , Social Class , Statistics as Topic
3.
Sci Rep ; 11(1): 791, 2021 01 12.
Article in English | MEDLINE | ID: mdl-33436990

ABSTRACT

The Brazilian Urban Mobility Policy integrates urban transport with traffic planning, establishing appropriate public policies that indicate the need for a safe and accessible public transport system. The major challenge is the inclusion of the elderly and people with disabilities. In this paper, we quantify the impact of rainfall on the number of people with disabilities and elderly people who use the public bus transportation system for accessibility in the first and last miles in the city of São Paulo. The proposed methodology is used to evaluate the co-movements between the time series of free-fare users and rainfall in São Paulo. The findings confirm the hypothesis that significant rainfall causes a reduction in the number of daily free-fare passengers who use the public bus system in São Paulo.


Subject(s)
Disabled Persons/statistics & numerical data , Public Policy , Transportation/methods , Aged/statistics & numerical data , Brazil , Humans , Rain , Transportation/statistics & numerical data , Urban Population/statistics & numerical data
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