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81 results for “Rio Grande do Norte”
FIGURE 2 in Five new records and morphological data of polyclad species (Platyhelminthes: Turbellaria) from Rio Grande do Norte, Northeastern Brazil
FIGURE 2. Enchiridium evelinae (MNRJ-PLAT 05). A—in vivo, dorsal view; B—anterior region with cerebral and marginal eyespots; C—ventral structures; D—sagittal section with indication of reproductive structures. ce: cerebral eyespots; cg: cement gland; cp: cement pouch; fg: female gonopore; it: main intestine; ma: male atrium; me: marginal eyespots; mg: male gonopore; mo: mouth; ph: pharynx; pv: prostatic vesicle; st: stylet; su: sucker; sv: seminal vesicle; ut: uteri; va: vagina.
Distribution. NE Brazil (states of Maranhao, Piaui, Ceara, Rio Grande do Norte, Paraiba, Pernambuco, Alagoas, N Bahia & possibly NE Tocantins), originally extending S as far as the Rio Sao Francisco and its W bank tributary the Rio Grande (c.11° 30" S), in the NW in Maranhao and Piaui extending to the left bank of the Rio Parnaiba, probably as far as the interfluvium of the rios Itapecurt and Mearim. Introduced in numerous other regions S of the Rio Sao Francisco, Sergipe State, the N & NE of Bahia, and the more humid Atlantic Forest on the coast of the states of Espirito Santo, Rio de Janeiro, and Santa Catarina in SE Brazil. in Callitrichiade
Distribution. NE Brazil (states of Maranhao, Piaui, Ceara, Rio Grande do Norte, Paraiba, Pernambuco, Alagoas, N Bahia & possibly NE Tocantins), originally extending S as far as the Rio Sao Francisco and its W bank tributary the Rio Grande (c.11° 30" S), in the NW in Maranhao and Piaui extending to the left bank of the Rio Parnaiba, probably as far as the interfluvium of the rios Itapecurt and Mearim. Introduced in numerous other regions S of the Rio Sao Francisco, Sergipe State, the N & NE of Bahia, and the more humid Atlantic Forest on the coast of the states of Espirito Santo, Rio de Janeiro, and Santa Catarina in SE Brazil.
Distribution. NE, C, SE & S Brazil, from Rio Grande do Norte and Paraiba S to Santa Catarina and E Paraguay (San Pedro and Cordillera departments). in Phyllostomidae
Distribution. NE, C, SE & S Brazil, from Rio Grande do Norte and Paraiba S to Santa Catarina and E Paraguay (San Pedro and Cordillera departments).
Distribution. NE Brazil (from Maranhao E to Rio Grande do Norte and S to extreme NE Goias and extreme NW Minas Gerais states). in Chlamyphoridae
Distribution. NE Brazil (from Maranhao E to Rio Grande do Norte and S to extreme NE Goias and extreme NW Minas Gerais states).
Distribution. Coastal NE Brazil from the S of Rio Grande do Norte State (as far W as Jucurutu, 6° 12° S, 37° 02° W,in the caatinga dry forest scrub of the Serra do Estreito), through Paraiba State to NE Pernambuco State; it is possible that it extends to the left bank of the Rio Sao Francisco in Alagoas State. in Cebidae
Distribution. Coastal NE Brazil from the S of Rio Grande do Norte State (as far W as Jucurutu, 6° 12° S, 37° 02° W,in the caatinga dry forest scrub of the Serra do Estreito), through Paraiba State to NE Pernambuco State; it is possible that it extends to the left bank of the Rio Sao Francisco in Alagoas State.
Distribution. NE Brazil, N of Rio Sao Francisco, including Maranhao, Piaui, Ceara, Rio Grande do Norte, Paraiba, and Pernambuco states. in Cricetidae
Distribution. NE Brazil, N of Rio Sao Francisco, including Maranhao, Piaui, Ceara, Rio Grande do Norte, Paraiba, and Pernambuco states.
Effectiveness of COVID-19 vaccination on reduction of hospitalizations and deaths in elderly patients in Rio Grande do Norte, Brazil
<p><strong>Data Repository </strong></p> <p><strong>Dataset name:</strong> covid19_rn-br.csv </p> <p><strong>Version: </strong>1.0 </p> <p><strong>Data collection period:</strong> 04/2020 - 08/2021 </p> <p><strong>Dataset Characteristics: </strong>Multivalued </p> <p><strong>Number of Instances:</strong> 12,635</p> <p><strong>Number of Attributes: </strong>16</p> <p><strong>Missing Values:</strong> Yes </p> <p><strong>Area(s): </strong>Health</p> <p><strong>Sources:</strong> </p> <p>- <em>Primary</em>: </p> <ul> <li>RegulaRN (<a href="https://regulacao.saude.rn.gov.br/sala-situacao/sala_publica/">https://regulacao.saude.rn.gov.br/sala-situacao/sala_publica/</a>).</li> </ul> <p>- <em>Secondary</em>: </p> <ul> <li>RN Mais Vacina (<a href="https://rnmaisvacina.lais.ufrn.br/cidadao/">https://rnmaisvacina.lais.ufrn.br/cidadao/</a>).</li> </ul> <p><strong>Description:</strong> The covid19_rn-br.csv dataset is composed of data from individuals who were hospitalized due to the Sars-CoV-2 virus. The data comes from the ecosystem of services that includes the regulatory system for clinical and critical beds related to Covid-19 (RegulaRN) and the vaccination system against Covid-19 that records the data of the general population (RN Mais Vacina) from Rio Grande do Norte state, Brazil. This dataset provides elementary data to analyze the impact of vaccination on patients hospitalized in the state. Table 1 presents the dictionary used during the data analysis.</p> <p> </p> <p><strong>Table 1: </strong>Description of Dataset Features. </p> <table> <tbody> <tr> <td> <p><strong>Attributes </strong></p> </td> <td> <p><strong>Description </strong></p> </td> <td> <p><strong>datatype </strong></p> </td> <td> <p><strong>Value</strong></p> </td> </tr> <tr> <td> <p><strong>usp</strong></p> </td> <td> <p>Unified Score for Prioritization scale, which combines the parameters described in the quick Sequential Organ Failure Assessment (qSOFA), the Charlson Comorbidity Index (CCI), the Clinical Frailty Scale (CFS) and The Karnofsky Performance Status scores</p> </td> <td> <p>Numerical</p> </td> <td> <p>2.0. 3.0, 4.0, 5.0, 6.0+</p> </td> </tr> <tr> <td> <p><strong>age</strong></p> </td> <td> <p>Informs the patient's age</p> </td> <td> <p>Numerical.</p> </td> <td> <p>integer value for age</p> </td> </tr> <tr> <td> <p><strong>outcome</strong></p> </td> <td> <p>Informs the outcome of the hospitalized patient after leaving the hospital</p> </td> <td> <p>Categorical</p> </td> <td> <p>“Discharge” or “Death"</p> </td> </tr> <tr> <td> <p><strong>comorbidities</strong></p> </td> <td> <p>Informs if the patient has comorbidities</p> </td> <td> <p>Categorical.</p> </td> <td> <p>“Yes” or “No”</p> </td> </tr> <tr> <td> <p><strong>vaccine</strong></p> </td> <td> <p>Informs which type of vaccine was applied to the patient</p> </td> <td> <p>Categorical</p> </td> <td> <p>“Vaccine #1”, “Vaccine #2” or NaN</p> </td> </tr> <tr> <td> <p><strong>bed_date_admission</strong> </p> </td> <td> <p>Informs the date the patient was hospitalized</p> </td> <td> <p>Date</p> </td> <td> <p>Date</p> </td> </tr> <tr> <td> <p><strong>bed_date_outcome</strong></p> </td> <td> <p>Informs the date that the patient left the hospital bed</p> </td> <td> <p>Date</p> </td> <td> <p>Date</p> </td> </tr> <tr> <td> <p><strong>length_hospitalization</strong></p> </td> <td> <p>Informs the number of days that the patient was hospitalized</p> </td> <td> <p>Numerical</p> </td> <td> <p>An integer value for days</p> </td> </tr> <tr> <td> <p><strong>interval_d1_hospitalization</strong></p> </td> <td> <p>Informs the interval (in days) that the patient had between the first dose and admission</p> </td> <td> <p>Numerical</p> </td> <td> <p>An integer value for days or NaN</p> </td> </tr> <tr> <td> <p><strong>interval_d2_hospitalization</strong></p> </td> <td> <p>Informs the interval (in days) that the patient had between the second dose and admission</p> </td> <td> <p>Numerical</p> </td> <td> <p>An integer value for days or NaN</p> </td> </tr> <tr> <td> <p><strong>dt_d1</strong></p> </td> <td> <p>Informs the date of application of the patient's first dose</p> </td> <td> <p>Date</p> </td> <td> <p>Date or NaN</p> </td> </tr> <tr> <td> <p><strong>dt_d2</strong></p> </td> <td> <p>Informs the patient's second dose application date</p> </td> <td> <p>Date</p> </td> <td> <p>Date or NaN</p> </td> </tr> <tr> <td> <p><strong>comorbidities_txt</strong></p> </td> <td> <p>Informs patients' comorbidities</p> </td> <td> <p>Categorical</p> </td> <td> <p>Free text or NaN</p> </td> </tr> <tr> <td> <p><strong>immunization</strong></p> </td> <td> <p>It informs the patient's immunization level according to the number of doses received and the interval (in days) of application of these doses</p> </td> <td> <p>Categorical</p> </td> <td> <p>“Partially”, “Fully” or “Not vaccinated”</p> </td> </tr> <tr> <td> <p><strong>health_professionals</strong></p> </td> <td> <p>Informs if the patient is a health professional</p> </td> <td> <p>Boolean</p> </td> <td> <p>0 or 1</p> </td> </tr> <tr> <td> <p><strong>age_group</strong></p> </td> <td> <p>Informs the age group of the hospitalized patient according to their age</p> </td> <td> <p>Categorical</p> </td> <td> <p>0-19, 20-49, 50-59, 60-69, 70-79, 80-89, 90+</p> </td> </tr> </tbody> </table> <p> </p> <p><strong>Article</strong>: Effectiveness of COVID-19 vaccination on reduction of hospitalizations and deaths in elderly patients in Rio Grande do Norte, Brazil</p> <p><br> <strong>Authors</strong>: Ana Isabela L. Sales-Moioli, Leonardo J. Galvão-Lima, Talita K. B. Pinto, Pablo H. Cardoso, Rodrigo D. Silva, Felipe Fernandes, Ingridy M. P. Barbalho, Fernando L. O. Farias, Nicolas V. R. Veras, Gustavo F. Souza, Agnaldo S. Cruz, Ion G. M. Andrade, Lúcio Gama, Ricardo A. M. Valentim</p>
FIGURE 6 in Previously unknown diversity: the marine sponge (Porifera) fauna from Rio Grande do Norte State, NE Brazil
FIGURE 6. Venn diagram showing the number of species for each beach and the shared species among the beachrocks studied at Baixa Grande and Ponta do Mel beaches, Rio Grande do Norte, Northeastern Brazil. Aa, Amorphinopsis atlantica; Av, Amphimedon viridis; Ca, Cinachyrella alloclada; Cca, Cladocroce caelum; Cce, Cliona celata complex; Cd, Cliothosa delitrix; Dr, Dysidea robusta; Ed, Echinodictyum dendroides; Hi, Haliclona (Reniera) implexiformis; Hma, Haliclona (Reniera) manglaris; Hc, Haliclona (Soestella) caerulea; Hme, Haliclona (Soestella) melana; Htu, Haliclona (Reniera) tubifera; Hs1, Haliclona sp. 1; Hs2, Haliclona sp. 2; Hs3, Haliclona sp. 3; Hs4, Haliclona sp. 4; Ps, Placospongia sp.; Ti, Tedania (Tedania) ignis.
FIGURE 3 in Previously unknown diversity: the marine sponge (Porifera) fauna from Rio Grande do Norte State, NE Brazil
FIGURE 3. Morphological details of sponges of Baixa Grande and Ponta do Mel beaches, Rio Grande do Norte, Northeastern Brazil. (Photos taken in situ and with different scale sizes). A, Echinodictyum dendroides Hechtel, 1983; B, Cliona celata complex Grant, 1826; C, Cliothosa delitrix (Pang, 1973); D, Placospongia sp.; E, Dysidea robusta Vilanova & Muricy, 2001; F, Cladocroce caelum Santos, Da Silva, Alliz & Pinheiro, 2014; G, Haliclona sp. 1; H, Haliclona sp. 2; I, Haliclona sp. 3; J, Haliclona sp. 4; K, Haliclona (Reniera) implexiformis (Hechtel, 1965); L, Haliclona (Reniera) manglaris Alcolado, 1984; M, Haliclona (Reniera) tubifera (George & Wilson, 1919); N, Haliclona (Soestella) caerulea (Hechtel, 1965); O, Haliclona (Soestella) melana Muricy & Ribeiro, 1999; P, Amphimedon viridis Duchassaing & Michelotti, 1864; Q, Tedania (Tedania) ignis (Duchassaing & Michelotti, 1864); R, Amorphinopsis atlantica Carvalho, Hajdu, Mothes & van Soest, 2004; S, Cinachyrella alloclada (Uliczka, 1929).
FIGURE 2 in Previously unknown diversity: the marine sponge (Porifera) fauna from Rio Grande do Norte State, NE Brazil
FIGURE 2. Studied beachrocks at Areia Branca (northern Rio Grande do Norte, Brazil) during low tide. A–B, Baixa Grande beach; C–D, Ponta do Mel beach.
FIGURE 1 in Previously unknown diversity: the marine sponge (Porifera) fauna from Rio Grande do Norte State, NE Brazil
FIGURE 1. Map showing the location of Baixa Grande Beach (1) and Ponta do Mel Beach (2) in the northern coast of Rio Grande do Norte, Northeastern Brazil.
Figure 1 in Host effect on morphology of the fruit fly Anastrepha zenildae (Diptera: Tephritidae) from the Semi-Arid region of Rio Grande do Norte
Figure 1. Map of the Guava and Jua sample sites in the state of Rio Grande do Norte.
FIGURE 2 in An inventory of the Bignoniaceae from the Brazilian state of Rio Grande do Norte highlights the importance of small herbaria to biodiversity studies
FIGURE 2. Bignoniaceae sampling in the state of Rio Grande do Norte: green—municipalities that already had collections before our study; yellow—municipalities that received further expeditions; white—municipalities not inventoried.
FIGURE 3 in An inventory of the Bignoniaceae from the Brazilian state of Rio Grande do Norte highlights the importance of small herbaria to biodiversity studies
FIGURE 3. Total number and respective percentage of Bignoniaceae species occurring in each biome in the state of Rio Grande do Norte, before and after this study.
FIGURE 1 in An inventory of the Bignoniaceae from the Brazilian state of Rio Grande do Norte highlights the importance of small herbaria to biodiversity studies
FIGURE 1. Location of the Northeastern region of Brazil (in gray) and magnification showing the state of Rio Grande do Norte. Horizontal fill—Caatinga; vertical fill—Atlantic Forest; diagonal fill—Mangroves. Blue dots indicate the Bignoniaceae collections treated here.
FIGURE 7. A in New records, conservation assessments and distribution of Lamiaceae in Rio Grande do Norte, northeastern, Brazil
FIGURE 7. A. Aegiphila verticillata; B. Amasonia campestris; C. Eplingiella fruticosa, D. Hypenia salzmannii; E. Marsypianthes chamaedrys; F. Mesosphaerum suaveolens; G. Rhaphiodon echinus; H. Vitex gardneriana; I. Vitex rufescens. Photos: (A) E.O. Moura, (B, E, I) E.C. Tomaz, (C, D, F, G) A.S. Soares, (H) J.G. Jardim.
FIGURE 5 in New records, conservation assessments and distribution of Lamiaceae in Rio Grande do Norte, northeastern, Brazil
FIGURE 5. Distribution map of Rhaphiodon echinus, Vitex gardneriana, V. rufescens and V. schaueriana in Rio Grande do Norte State, Brazil.
FIGURE 2 in New records, conservation assessments and distribution of Lamiaceae in Rio Grande do Norte, northeastern, Brazil
FIGURE 2. Distribution map of Aegiphila verticillata, Amasonia campestris, Eplingiella fruticosa and Eriope macrostachya in Rio Grande do Norte State, Brazil.
FIGURE 3 in New records, conservation assessments and distribution of Lamiaceae in Rio Grande do Norte, northeastern, Brazil
FIGURE 3. Distribution map of Gymneia platanifolia, Hypenia salzmannii, Hyptis brevipes and H. lantanifolia in Rio Grande do Norte State, Brazil.
FIGURE 4 in New records, conservation assessments and distribution of Lamiaceae in Rio Grande do Norte, northeastern, Brazil
FIGURE 4. Distribution map of Marsypianthes chamaedrys, Mesosphaerum pectinatum, Mesosphaerum sp. and M. suaveolens in Rio Grande do Norte State, Brazil.
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