ArticleBMC public health2014
Spatio-temporal correlation networks of dengue in the state of Bahia.
Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Complex network analysis of arboviruses in the same geographic domain: Differences and similarities.Chaos, solitons, and fractals · 2023Article
- Synchronized spread of COVID-19 in the cities of Bahia, Brazil.Epidemics · 2022Article
- A Critical Analysis of the COVID-19 Hospitalization Network in Countries with Limited Resources.International journal of environmental research and public health · 2022Article
- A spatio-temporal analysis of dengue spread in a Brazilian dry climate region.Scientific reports · 2021Article
- Ascertaining the impact of catastrophic events on dengue outbreak: The 2014 gas explosions in Kaohsiung, Taiwan.PloS one · 2017Article
- Computation and analysis of temporal betweenness in a knowledge mobilization network.Computational social networks · 2017Article
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Authors and funding
4 authors.
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Abstract
backgroundDengue is a public health problem that presents complexity in its dissemination. The physical means of spreading and the dynamics of the spread between municipalities need to be analyzed to guide effective public policies to combat this problem.
methodsThis study uses timing varying graph methods (TVG) to construct a correlation network between occurrences of reported cases of dengue between cities in the state of Bahia-Brazil. The topological network indices of all cities were correlated with dengue incidence using Spearman correlation. A randomization test was used to estimate the significance value of the correlation.
resultsThe correlation network presented a complex behavior with a heavy-tail distribution of the network edges weight. The randomization test exhibit a significant correlation (P < 0.0001) between the degree of each municipality in the network and the incidence of dengue in each municipality.
conclusionsThe hypothesis of the existence of a correlation between the occurrences of reported cases of dengue between different municipalities in the state of Bahia was validated. The significant correlation between the node degree and incidence, indicates that municipalities with high incidence are also responsible for the spread of the disease in the state. The method proposed suggests a new tool in epidemiological control strategy.
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