Regiões pluviométricas e saúde no Rio Grande do Norte
Rainfall surplus and deficits, observed through the occurrence of severe storms and draughts, amplify the impact of poverty on the population of the Northeast Brazil, where the Rio Grande do Norte state is located. One of the consequences of these events is the potential adverse impact on public hea...
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2018-04-01
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| author | Pollyanne Evangelista Da Silva Lara De Melo Barbosa Andrade Jean Souza Dos Reis |
| author_facet | Pollyanne Evangelista Da Silva Lara De Melo Barbosa Andrade Jean Souza Dos Reis |
| author_sort | Pollyanne Evangelista Da Silva |
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| description | Rainfall surplus and deficits, observed through the occurrence of severe storms and draughts, amplify the impact of poverty on the population of the Northeast Brazil, where the Rio Grande do Norte state is located. One of the consequences of these events is the potential adverse impact on public health, with the increased incidence of endemic diseases. The objective of this study is to identify areas that are most susceptible to climate-dependent diseases, considering homogeneous precipitation regions in the State of Rio Grande do Norte. Health data used in the study were obtained from the Ministry of Health, made available on the SUS Hospital Information System (SIH/SUS) website, of the DATASUS platform. Precipitation data were obtained by means of estimates processed by a MERGE method in the period of 2000 to 2016. Because of the high climate variability in Rio Grande do Norte, homogeneous precipitation regions were defined within the State. Cluster analysis was carried out for the determination of these regions, considering accumulated rainfall data in each municipality of the State, the Euclidean distance and Ward's method criterion. An analysis of variance (ANOVA) was also carried out in order to verify the influence of precipitation on the rates of hospitalization caused by climate-dependent diseases, according to the homogeneous precipitation regions. Four distinct clusters (region 1, region 2, region 3 and region 4) were identified. It was observed that the main causes of hospitalization are respiratory diseases followed by infectious and parasitic diseases. Considering the homogeneous regions, Regions 1 and 2 showed the highest hospitalization rates for infectious and parasitic diseases and respiratory diseases. However, Region 1 has low rainfall rates while Region 2 presents high precipitation volumes. Results also show the influence of climate in disease groups with relatable causes such as infectious and parasitic diseases, respiratory, circulatory system and digestive diseases. |
| format | Article |
| id | doaj-art-90a9058f093b4344a641500b82a9b74a |
| institution | Kabale University |
| issn | 1958-9212 |
| language | English |
| publishDate | 2018-04-01 |
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| spelling | doaj-art-90a9058f093b4344a641500b82a9b74a2025-01-13T15:55:30ZengConfinsConfins1958-92122018-04-013410.4000/confins.12855Regiões pluviométricas e saúde no Rio Grande do NortePollyanne Evangelista Da SilvaLara De Melo Barbosa AndradeJean Souza Dos ReisRainfall surplus and deficits, observed through the occurrence of severe storms and draughts, amplify the impact of poverty on the population of the Northeast Brazil, where the Rio Grande do Norte state is located. One of the consequences of these events is the potential adverse impact on public health, with the increased incidence of endemic diseases. The objective of this study is to identify areas that are most susceptible to climate-dependent diseases, considering homogeneous precipitation regions in the State of Rio Grande do Norte. Health data used in the study were obtained from the Ministry of Health, made available on the SUS Hospital Information System (SIH/SUS) website, of the DATASUS platform. Precipitation data were obtained by means of estimates processed by a MERGE method in the period of 2000 to 2016. Because of the high climate variability in Rio Grande do Norte, homogeneous precipitation regions were defined within the State. Cluster analysis was carried out for the determination of these regions, considering accumulated rainfall data in each municipality of the State, the Euclidean distance and Ward's method criterion. An analysis of variance (ANOVA) was also carried out in order to verify the influence of precipitation on the rates of hospitalization caused by climate-dependent diseases, according to the homogeneous precipitation regions. Four distinct clusters (region 1, region 2, region 3 and region 4) were identified. It was observed that the main causes of hospitalization are respiratory diseases followed by infectious and parasitic diseases. Considering the homogeneous regions, Regions 1 and 2 showed the highest hospitalization rates for infectious and parasitic diseases and respiratory diseases. However, Region 1 has low rainfall rates while Region 2 presents high precipitation volumes. Results also show the influence of climate in disease groups with relatable causes such as infectious and parasitic diseases, respiratory, circulatory system and digestive diseases.https://journals.openedition.org/confins/12855cluster analysisdiseasesclimatesusceptibility |
| spellingShingle | Pollyanne Evangelista Da Silva Lara De Melo Barbosa Andrade Jean Souza Dos Reis Regiões pluviométricas e saúde no Rio Grande do Norte Confins cluster analysis diseases climate susceptibility |
| title | Regiões pluviométricas e saúde no Rio Grande do Norte |
| title_full | Regiões pluviométricas e saúde no Rio Grande do Norte |
| title_fullStr | Regiões pluviométricas e saúde no Rio Grande do Norte |
| title_full_unstemmed | Regiões pluviométricas e saúde no Rio Grande do Norte |
| title_short | Regiões pluviométricas e saúde no Rio Grande do Norte |
| title_sort | regioes pluviometricas e saude no rio grande do norte |
| topic | cluster analysis diseases climate susceptibility |
| url | https://journals.openedition.org/confins/12855 |
| work_keys_str_mv | AT pollyanneevangelistadasilva regioespluviometricasesaudenoriograndedonorte AT larademelobarbosaandrade regioespluviometricasesaudenoriograndedonorte AT jeansouzadosreis regioespluviometricasesaudenoriograndedonorte |