Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model
Abstract Arboviruses, diseases transmitted by arthropods, have become a significant challenge for public health managers. The World Health Organization highlights dengue as responsible for millions of infections worldwide annually. As there is no specific treatment for the disease and no free-of-cha...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-36903-w |
| _version_ | 1797795744759939072 |
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| author | Amália Soares Vieira de Vasconcelos Josenildo Silva de Lima Rodrigo Tomás Nogueira Cardoso |
| author_facet | Amália Soares Vieira de Vasconcelos Josenildo Silva de Lima Rodrigo Tomás Nogueira Cardoso |
| author_sort | Amália Soares Vieira de Vasconcelos |
| collection | DOAJ |
| description | Abstract Arboviruses, diseases transmitted by arthropods, have become a significant challenge for public health managers. The World Health Organization highlights dengue as responsible for millions of infections worldwide annually. As there is no specific treatment for the disease and no free-of-charge vaccine for mass use in Brazil, the best option is the measures to combat the vector, the Aedes aegypti mosquito. Therefore, we proposed an epidemiological model dependent on temperature, precipitation, and humidity, considering symptomatic and asymptomatic dengue infections. Through computer simulations, we aimed to minimize the amount of insecticides and the social cost demanded to treat patients. We proposed a case study in which our model is fitted with real data from symptomatic dengue-infected humans in an epidemic year in a Brazilian city. Our multiobjective optimization model considers an additional control using larvicide, adulticide, and ultra-low volume spraying. The work’s main contribution is studying the monetary cost of the actions to combat the vector demand versus the hospital cost per confirmed infected, comparing approaches with and without additional control. Results showed that the additional vector control measures are cheaper than the hospital treatment without the vector control would be. |
| first_indexed | 2024-03-13T03:22:40Z |
| format | Article |
| id | doaj.art-dd9594a13647483f82a693be36319d81 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T03:22:40Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-dd9594a13647483f82a693be36319d812023-06-25T11:14:50ZengNature PortfolioScientific Reports2045-23222023-06-0113111910.1038/s41598-023-36903-wMultiobjective optimization to assess dengue control costs using a climate-dependent epidemiological modelAmália Soares Vieira de Vasconcelos0Josenildo Silva de Lima1Rodrigo Tomás Nogueira Cardoso2Postgraduate Program in Mathematical and Computational Modeling (PPGMMC), Federal Center for Technological Education-CEFET-MGPostgraduate Program in Mathematical and Computational Modeling (PPGMMC), Federal Center for Technological Education-CEFET-MGDepartment of Mathematics, Federal Center for Technological Education-CEFET-MGAbstract Arboviruses, diseases transmitted by arthropods, have become a significant challenge for public health managers. The World Health Organization highlights dengue as responsible for millions of infections worldwide annually. As there is no specific treatment for the disease and no free-of-charge vaccine for mass use in Brazil, the best option is the measures to combat the vector, the Aedes aegypti mosquito. Therefore, we proposed an epidemiological model dependent on temperature, precipitation, and humidity, considering symptomatic and asymptomatic dengue infections. Through computer simulations, we aimed to minimize the amount of insecticides and the social cost demanded to treat patients. We proposed a case study in which our model is fitted with real data from symptomatic dengue-infected humans in an epidemic year in a Brazilian city. Our multiobjective optimization model considers an additional control using larvicide, adulticide, and ultra-low volume spraying. The work’s main contribution is studying the monetary cost of the actions to combat the vector demand versus the hospital cost per confirmed infected, comparing approaches with and without additional control. Results showed that the additional vector control measures are cheaper than the hospital treatment without the vector control would be.https://doi.org/10.1038/s41598-023-36903-w |
| spellingShingle | Amália Soares Vieira de Vasconcelos Josenildo Silva de Lima Rodrigo Tomás Nogueira Cardoso Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model Scientific Reports |
| title | Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model |
| title_full | Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model |
| title_fullStr | Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model |
| title_full_unstemmed | Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model |
| title_short | Multiobjective optimization to assess dengue control costs using a climate-dependent epidemiological model |
| title_sort | multiobjective optimization to assess dengue control costs using a climate dependent epidemiological model |
| url | https://doi.org/10.1038/s41598-023-36903-w |
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