Vanderson Sampaio - Academia.edu (original) (raw)

Papers by Vanderson Sampaio

Scientific Data

After COVID-19, tuberculosis (TB) is the leading cause of death by an infectious disease in the w... more After COVID-19, tuberculosis (TB) is the leading cause of death by an infectious disease in the world. This work presents a data set based on data collected from the Brazilian Information System for Notifiable Diseases (SINAN) for the period from January 2001 to April 2020 relating to patients diagnosed with tuberculosis in Brazil. The data from SINAN was pre-processed to generate a new data set with two distinct treatment outcome classes: CURED and DIED. The data set comprises 37 categorical attributes (including socio-demographic, clinical, and laboratory data) as well as the target class. There are 927,909 records of patients classified as CURED and 36,190 classified as DIED, totaling 964,099 records.

This data set presents clinical and sociodemographic information of confirmed patients of Dengue ... more This data set presents clinical and sociodemographic information of confirmed patients of Dengue and Chikungunya, as well as patients cases discarded from these same diseases. The data were accounted for two databases, the first is from the Health Problem and Notification Information System, from Portuguese Sistema de Informação de Agravo de Notificação (SINAN), that occurred in the state of Amazonas, from 2015 to 2020; The second if from Dados Recife, an open data portal of the city Recife, in the state of Pernambuco, also from 2015 to 2020. The data set has 17,172 records and 27 attributes. This data set contains four CSV files, the "data set.csv" file contains the pre processed data set itself, the "attributes.csv" file contains information about each attribute present in the data set, the files "sinan-db.csv" and "recife-db.csv" contains the original data set.

International Journal of Population Data Science

ObjectivePublic health research frequently requires the integration of information from different... more ObjectivePublic health research frequently requires the integration of information from different data sources. However, errors in the records and the high computational costs involved make linking large administrative databases using record linkage (RL) methodologies a major challenge. We present Tucuxi-BLAST, a versatile tool for probabilistic RL that utilizes a DNA-encoded approach to encrypt, analyze and link massive administrative databases. Materials and MethodsTucuxi-BLAST encodes the identification records into DNA. BLASTn algorithm is then used to align the sequences between databases. We tested and benchmarked on a simulated database containing records for 300 million individuals and also on four large administrative databases containing real data on Brazilian patients. ResultsOur method was able to overcome misspellings and typographical errors in administrative databases. In processing the RL of the largest simulated dataset (200k records), the state-of-the art method to...

Pathogens

Background: Glucose-6-phosphate dehydrogenase (G6PD) deficiency testing is not routinely performe... more Background: Glucose-6-phosphate dehydrogenase (G6PD) deficiency testing is not routinely performed before primaquine treatment in most Plasmodium vivax endemic areas, despite the risk of primaquine-associated hemolysis. This is due to the operational challenges associated with pragmatic G6PD testing and as such needs to be addressed. Methods and findings: This mixed-methods operational study was aimed at implementing the quantitative point-of-care StandardTM G6PD (SD Biosensor, Korea) screening test in malaria treatment units (MTUs) in the municipalities of Rio Preto da Eva and Mâncio Lima, in the Brazilian Amazon, between mid-January 2020 and December 2020. In total, 1286 P. vivax cases were treated based on the Standard G6PD test: 1230 had activity equal to or greater than 4.0 U/g Hb, and 56 less than 4.0 U/g Hb. No G6PD deficient (G6PDd) genotypes were found in 96 samples from the 1230, and only 21 of the 56 G6PDd cases had confirmed G6PDd genotypes. Evaluations were conducted on...

Background: Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies... more Background: Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies for the mother and her baby. However, health issues can occur during this period, causing misfortunes, such as the death of the fetus or neonate. Predictive models of fetal and infant deaths are important technological tools that can help to reduce mortality indexes. The main goal of this work is to present a systematic review of literature focused on computational models to predict mortality, covering stillbirth, perinatal, neonatal, and infant deaths, highlighting their methodology and the description of the proposed computational models. Methods: We conducted a systematic review of literature, limiting the search to the last 10 years of publications considering the five main scientific databases as source. Results: From 671 works, 18 of them were selected as primary studies for further analysis. We found that most of works are focused on prediction of neonatal deaths, using machine l...

INTRODUCTORY PARAGRAPHAs in many other settings, peak excess mortality preceded the officially re... more INTRODUCTORY PARAGRAPHAs in many other settings, peak excess mortality preceded the officially reported ‘first wave’ peak of the COVID-19 epidemic in Manaus, Brazil, reflecting delayed case recognition and limited initial access to diagnostic testing. To avoid early information bias, we used detailed age and gender stratified death certificate and hospitalisation data to evaluate the epidemic’s trajectory and infer the cause of its decline using a stochastic model. Our results are consistent with heterogenous transmission reducing over time due to the development of herd immunity. Relative to a baseline model that assumed homogenous mixing across Manaus, a model that permitted a small, self-isolated population fraction raised the estimated herd-immunity threshold from 28% to 30% and reduced the final attack rate from 86% to 65%. In the latter scenario, a substantial proportion of vulnerable, older individuals remained susceptible to infection. Given uncertainties regarding the dista...

Background: Data integration and visualization techniques have been widely used in scientific res... more Background: Data integration and visualization techniques have been widely used in scientific research to allow the exploitation of large volumes of data and support highly complex or long-lasting research questions. Integration allows data from different sources to be aggregated into a single database comprising variables of interest for different types of studies. Visualization allows large and complex data sets to be manipulated and interpreted in a more intuitive way.Methods: In this paper, we present how integration and visualization techniques were applied in a malaria surveillance ecosystem to build an integrated database comprising notifications, deaths, vector control andclimate data. This database is accessed through Malaria-VisAnalytics, a visual mining platform for descriptive and predictive analytics supporting decision and policy making by governmental and health agents.Results: Our experimental and validation results so far have proved that the visual exploration and ...

PeerJ

Background Public health research frequently requires the integration of information from differe... more Background Public health research frequently requires the integration of information from different data sources. However, errors in the records and the high computational costs involved make linking large administrative databases using record linkage (RL) methodologies a major challenge. Methods We present Tucuxi-BLAST, a versatile tool for probabilistic RL that utilizes a DNA-encoded approach to encrypt, analyze and link massive administrative databases. Tucuxi-BLAST encodes the identification records into DNA. BLASTn algorithm is then used to align the sequences between databases. We tested and benchmarked on a simulated database containing records for 300 million individuals and also on four large administrative databases containing real data on Brazilian patients. Results Our method was able to overcome misspellings and typographical errors in administrative databases. In processing the RL of the largest simulated dataset (200k records), the state-of-the-art method took 5 days ...

Despite significant and successful efforts in Brazil regarding snakebites in the areas of researc... more Despite significant and successful efforts in Brazil regarding snakebites in the areas of research, antivenom manufacture and quality control, training of health professionals in the diagnosis and clinical management of bites, little is known about determinants of snakebites incidence in order to further plan interventions to reduce the impact of this medical condition. Understanding the complexity of ecological interactions in a geographical region is important for prediction, prevention and control measures of snakebites. The aim of this investigation is to describe spatial distribution and identify environmental determinants of human- lancehead pit vipers (Bothrops genus) contact resulting in injuries, in the Brazilian Amazon. Aggregated data by municipality was used to analyze the spatial distribution of Bothrops bites cases and its relationship with geographic and environmental factors. Eight geo-environmental factors were included in the analysis as independent variables: (1) ...

Datasets from the Malaria VisAnalytics applications, comprising malaria episodes, death records, ... more Datasets from the Malaria VisAnalytics applications, comprising malaria episodes, death records, vector control data, and climate variables

Datasets from the Malaria VisAnalytics applications, comprising malaria episodes, death records, ... more Datasets from the Malaria VisAnalytics applications, comprising malaria episodes, death records, vector control data, and climate variables

This data set presents clinical, sociodemographic, and laboratory information of confirmed patien... more This data set presents clinical, sociodemographic, and laboratory information of confirmed patients of Dengue and Chikungunya, as well as patients cases discarded from these same diseases. The data were accounted for by the Health Problem and Notification Information System, from Portuguese Sistema de Informação de Agravo de Notificação (SINAN), that occurred in Brazil, from 2013 to 2020. The data set has 7,632,542 records and 56 attributes. This data set is in a single CSV named "data set.csv", and the "attributes.csv" file contains information about each attribute present in the data set.

AIDS Research and Therapy, 2022

Background Pre-Exposure Prophylaxis (PrEP) has demonstrated efficacy in the reduction of sexually... more Background Pre-Exposure Prophylaxis (PrEP) has demonstrated efficacy in the reduction of sexually transmitted HIV infections. The prolonged use of tenofovir disoproxil fumarate (TDF) and emtricitabine (FTC) co-formulation (TDF/FTC), however, may result in augmented risk of renal toxicity. We aimed to evaluate changes in the estimated Glomerular Filtration Rate (eGFR) in a real-world population setting of participants enrolled in PrEP Brazil, a 48-week prospective, open-label, demonstration study to assess the feasibility of daily oral TDF/FTC used by men who have sex with men and transgender women at high-risk of HIV infection, all over 18 years old. Methods Kidney function was assessed by serial measurement of serum creatinine and eGFR with the Modification of Diet in Renal Disease Study (MDRD) formula on weeks 4, 12, 24, 36 and 48. Adherence to PrEP was assessed by dosing TDF concentration in dried blood spots at weeks 4 and 48, measured by liquid chromatography-mass spectrometry ...

Table S3. Conditions for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or RT-qPCR assays... more Table S3. Conditions for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or RT-qPCR assays. (DOCX 14 kb)

Table S2. Reaction mixes for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or RT-qPCR. T... more Table S2. Reaction mixes for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or RT-qPCR. The table describes the reagents, concentrations and template volume used in the qPCR and RT-qPCR assays. (DOCX 13 kb)

Table S1. Primers and probes used for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or R... more Table S1. Primers and probes used for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or RT-qPCR assays including reaction efficiency and detection limits. (DOCX 16 kb)

Additional file 1. Documentary film about vivax malaria in Brazil Amazon.

Means comparisons between only mosquitoes that died between 0 and 4 days of the assay, excluding ... more Means comparisons between only mosquitoes that died between 0 and 4 days of the assay, excluding all mosquitoes that survived (dead group) and mosquitoes that survived until the last day (survival group) at LC5, LC15 and LC25 lethal concentrations for the whole period, photophase and scotophase. (DOCX 14 kb)

<b>Introduction:</b> Snake venom composition shows significant inter- and intra-speci... more <b>Introduction:</b> Snake venom composition shows significant inter- and intra-species variation. In the case of the viperid species <i>Bothrops atrox</i>, responsible for the majority of snakebites in the Amazon region, geographical and ontogenetic variables affect venom composition, with ecological and medical implications. Previous studies had shown that venom from neonate and juvenile <i>Bothrops</i> specimens have a higher <i>in vitro</i> coagulant activity. The aim of this investigation was to assess the association of clinical outcomes, such as venom-induced coagulopathy and local complications, with <i>B. atrox</i> ontogenetic variables. <b>Methods:</b> This study explored the relationship between some clinical parameters in patients suffering envenomations by <i>B. atrox</i> in the Amazon and several morphometric parameters of the snake specimens causing the bites. <b>Results:</b> There were 248 specimens confirmed as agents of envenomation, mostly female snakes (70.5%) and classified as juveniles (62.7%). Patients bitten by neonates compared to adult snakes [OR = 2.70 (95%CI 1.15-6.37); <i>p</i> = .021] and by snakes with white tail tip [OR = 1.98 (95%CI 1.15–3.41); <i>p</i> = .013] were more likely to develop coagulopathy. Time from patient admission to the unclottable blood reversion was not affected by the snake gender (<i>p</i> = .214) or age (<i>p</i> = .254). Patients bitten by neonate (<i>p</i> = .024) or juvenile snakes (<i>p</i> <b>Conclusion:</b> Despite these variations, no difference was observed in the time needed to recover blood clotting in these patients after <i>Bothrops</i> antivenom administration.

Resumo. Através de dados fornecidos pelo Sistema de Informação de Agravos de Notificação (SINAN),... more Resumo. Através de dados fornecidos pelo Sistema de Informação de Agravos de Notificação (SINAN), de 2003 à 2018, foi constatado que o Estado do Amazonas possui um altíssimo índice de casos diagnosticados de malária. O presente artigo apresenta na análise desses dados por meio da aplicação do algoritmo de clusterização k-means e modelo de predição utilizando deep learning. O objetivo principal é predizer a quantidade de ocorrências de malária na região, apresentando modelos específicos por cluster. Inicialmente, este trabalho apresenta os resultados referentes a cidade de Manaus, que por sua particularidade, está isolada das demais cidades, em um cluster. Resultados mostram que o modelo Long-Short Term Memory (LSTM) proposto apresenta um bom resultado, com RMSE de 0,0362.

Scientific Data

After COVID-19, tuberculosis (TB) is the leading cause of death by an infectious disease in the w... more After COVID-19, tuberculosis (TB) is the leading cause of death by an infectious disease in the world. This work presents a data set based on data collected from the Brazilian Information System for Notifiable Diseases (SINAN) for the period from January 2001 to April 2020 relating to patients diagnosed with tuberculosis in Brazil. The data from SINAN was pre-processed to generate a new data set with two distinct treatment outcome classes: CURED and DIED. The data set comprises 37 categorical attributes (including socio-demographic, clinical, and laboratory data) as well as the target class. There are 927,909 records of patients classified as CURED and 36,190 classified as DIED, totaling 964,099 records.

This data set presents clinical and sociodemographic information of confirmed patients of Dengue ... more This data set presents clinical and sociodemographic information of confirmed patients of Dengue and Chikungunya, as well as patients cases discarded from these same diseases. The data were accounted for two databases, the first is from the Health Problem and Notification Information System, from Portuguese Sistema de Informação de Agravo de Notificação (SINAN), that occurred in the state of Amazonas, from 2015 to 2020; The second if from Dados Recife, an open data portal of the city Recife, in the state of Pernambuco, also from 2015 to 2020. The data set has 17,172 records and 27 attributes. This data set contains four CSV files, the "data set.csv" file contains the pre processed data set itself, the "attributes.csv" file contains information about each attribute present in the data set, the files "sinan-db.csv" and "recife-db.csv" contains the original data set.

International Journal of Population Data Science

ObjectivePublic health research frequently requires the integration of information from different... more ObjectivePublic health research frequently requires the integration of information from different data sources. However, errors in the records and the high computational costs involved make linking large administrative databases using record linkage (RL) methodologies a major challenge. We present Tucuxi-BLAST, a versatile tool for probabilistic RL that utilizes a DNA-encoded approach to encrypt, analyze and link massive administrative databases. Materials and MethodsTucuxi-BLAST encodes the identification records into DNA. BLASTn algorithm is then used to align the sequences between databases. We tested and benchmarked on a simulated database containing records for 300 million individuals and also on four large administrative databases containing real data on Brazilian patients. ResultsOur method was able to overcome misspellings and typographical errors in administrative databases. In processing the RL of the largest simulated dataset (200k records), the state-of-the art method to...

Pathogens

Background: Glucose-6-phosphate dehydrogenase (G6PD) deficiency testing is not routinely performe... more Background: Glucose-6-phosphate dehydrogenase (G6PD) deficiency testing is not routinely performed before primaquine treatment in most Plasmodium vivax endemic areas, despite the risk of primaquine-associated hemolysis. This is due to the operational challenges associated with pragmatic G6PD testing and as such needs to be addressed. Methods and findings: This mixed-methods operational study was aimed at implementing the quantitative point-of-care StandardTM G6PD (SD Biosensor, Korea) screening test in malaria treatment units (MTUs) in the municipalities of Rio Preto da Eva and Mâncio Lima, in the Brazilian Amazon, between mid-January 2020 and December 2020. In total, 1286 P. vivax cases were treated based on the Standard G6PD test: 1230 had activity equal to or greater than 4.0 U/g Hb, and 56 less than 4.0 U/g Hb. No G6PD deficient (G6PDd) genotypes were found in 96 samples from the 1230, and only 21 of the 56 G6PDd cases had confirmed G6PDd genotypes. Evaluations were conducted on...

Background: Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies... more Background: Care during pregnancy, childbirth and puerperium are fundamental to avoid pathologies for the mother and her baby. However, health issues can occur during this period, causing misfortunes, such as the death of the fetus or neonate. Predictive models of fetal and infant deaths are important technological tools that can help to reduce mortality indexes. The main goal of this work is to present a systematic review of literature focused on computational models to predict mortality, covering stillbirth, perinatal, neonatal, and infant deaths, highlighting their methodology and the description of the proposed computational models. Methods: We conducted a systematic review of literature, limiting the search to the last 10 years of publications considering the five main scientific databases as source. Results: From 671 works, 18 of them were selected as primary studies for further analysis. We found that most of works are focused on prediction of neonatal deaths, using machine l...

INTRODUCTORY PARAGRAPHAs in many other settings, peak excess mortality preceded the officially re... more INTRODUCTORY PARAGRAPHAs in many other settings, peak excess mortality preceded the officially reported ‘first wave’ peak of the COVID-19 epidemic in Manaus, Brazil, reflecting delayed case recognition and limited initial access to diagnostic testing. To avoid early information bias, we used detailed age and gender stratified death certificate and hospitalisation data to evaluate the epidemic’s trajectory and infer the cause of its decline using a stochastic model. Our results are consistent with heterogenous transmission reducing over time due to the development of herd immunity. Relative to a baseline model that assumed homogenous mixing across Manaus, a model that permitted a small, self-isolated population fraction raised the estimated herd-immunity threshold from 28% to 30% and reduced the final attack rate from 86% to 65%. In the latter scenario, a substantial proportion of vulnerable, older individuals remained susceptible to infection. Given uncertainties regarding the dista...

Background: Data integration and visualization techniques have been widely used in scientific res... more Background: Data integration and visualization techniques have been widely used in scientific research to allow the exploitation of large volumes of data and support highly complex or long-lasting research questions. Integration allows data from different sources to be aggregated into a single database comprising variables of interest for different types of studies. Visualization allows large and complex data sets to be manipulated and interpreted in a more intuitive way.Methods: In this paper, we present how integration and visualization techniques were applied in a malaria surveillance ecosystem to build an integrated database comprising notifications, deaths, vector control andclimate data. This database is accessed through Malaria-VisAnalytics, a visual mining platform for descriptive and predictive analytics supporting decision and policy making by governmental and health agents.Results: Our experimental and validation results so far have proved that the visual exploration and ...

PeerJ

Background Public health research frequently requires the integration of information from differe... more Background Public health research frequently requires the integration of information from different data sources. However, errors in the records and the high computational costs involved make linking large administrative databases using record linkage (RL) methodologies a major challenge. Methods We present Tucuxi-BLAST, a versatile tool for probabilistic RL that utilizes a DNA-encoded approach to encrypt, analyze and link massive administrative databases. Tucuxi-BLAST encodes the identification records into DNA. BLASTn algorithm is then used to align the sequences between databases. We tested and benchmarked on a simulated database containing records for 300 million individuals and also on four large administrative databases containing real data on Brazilian patients. Results Our method was able to overcome misspellings and typographical errors in administrative databases. In processing the RL of the largest simulated dataset (200k records), the state-of-the-art method took 5 days ...

Despite significant and successful efforts in Brazil regarding snakebites in the areas of researc... more Despite significant and successful efforts in Brazil regarding snakebites in the areas of research, antivenom manufacture and quality control, training of health professionals in the diagnosis and clinical management of bites, little is known about determinants of snakebites incidence in order to further plan interventions to reduce the impact of this medical condition. Understanding the complexity of ecological interactions in a geographical region is important for prediction, prevention and control measures of snakebites. The aim of this investigation is to describe spatial distribution and identify environmental determinants of human- lancehead pit vipers (Bothrops genus) contact resulting in injuries, in the Brazilian Amazon. Aggregated data by municipality was used to analyze the spatial distribution of Bothrops bites cases and its relationship with geographic and environmental factors. Eight geo-environmental factors were included in the analysis as independent variables: (1) ...

Datasets from the Malaria VisAnalytics applications, comprising malaria episodes, death records, ... more Datasets from the Malaria VisAnalytics applications, comprising malaria episodes, death records, vector control data, and climate variables

Datasets from the Malaria VisAnalytics applications, comprising malaria episodes, death records, ... more Datasets from the Malaria VisAnalytics applications, comprising malaria episodes, death records, vector control data, and climate variables

This data set presents clinical, sociodemographic, and laboratory information of confirmed patien... more This data set presents clinical, sociodemographic, and laboratory information of confirmed patients of Dengue and Chikungunya, as well as patients cases discarded from these same diseases. The data were accounted for by the Health Problem and Notification Information System, from Portuguese Sistema de Informação de Agravo de Notificação (SINAN), that occurred in Brazil, from 2013 to 2020. The data set has 7,632,542 records and 56 attributes. This data set is in a single CSV named "data set.csv", and the "attributes.csv" file contains information about each attribute present in the data set.

AIDS Research and Therapy, 2022

Background Pre-Exposure Prophylaxis (PrEP) has demonstrated efficacy in the reduction of sexually... more Background Pre-Exposure Prophylaxis (PrEP) has demonstrated efficacy in the reduction of sexually transmitted HIV infections. The prolonged use of tenofovir disoproxil fumarate (TDF) and emtricitabine (FTC) co-formulation (TDF/FTC), however, may result in augmented risk of renal toxicity. We aimed to evaluate changes in the estimated Glomerular Filtration Rate (eGFR) in a real-world population setting of participants enrolled in PrEP Brazil, a 48-week prospective, open-label, demonstration study to assess the feasibility of daily oral TDF/FTC used by men who have sex with men and transgender women at high-risk of HIV infection, all over 18 years old. Methods Kidney function was assessed by serial measurement of serum creatinine and eGFR with the Modification of Diet in Renal Disease Study (MDRD) formula on weeks 4, 12, 24, 36 and 48. Adherence to PrEP was assessed by dosing TDF concentration in dried blood spots at weeks 4 and 48, measured by liquid chromatography-mass spectrometry ...

Table S3. Conditions for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or RT-qPCR assays... more Table S3. Conditions for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or RT-qPCR assays. (DOCX 14 kb)

Table S2. Reaction mixes for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or RT-qPCR. T... more Table S2. Reaction mixes for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or RT-qPCR. The table describes the reagents, concentrations and template volume used in the qPCR and RT-qPCR assays. (DOCX 13 kb)

Table S1. Primers and probes used for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or R... more Table S1. Primers and probes used for amplification of 18S rRNA, pvs25 and pfs25, using qPCR or RT-qPCR assays including reaction efficiency and detection limits. (DOCX 16 kb)

Additional file 1. Documentary film about vivax malaria in Brazil Amazon.

Means comparisons between only mosquitoes that died between 0 and 4 days of the assay, excluding ... more Means comparisons between only mosquitoes that died between 0 and 4 days of the assay, excluding all mosquitoes that survived (dead group) and mosquitoes that survived until the last day (survival group) at LC5, LC15 and LC25 lethal concentrations for the whole period, photophase and scotophase. (DOCX 14 kb)

<b>Introduction:</b> Snake venom composition shows significant inter- and intra-speci... more <b>Introduction:</b> Snake venom composition shows significant inter- and intra-species variation. In the case of the viperid species <i>Bothrops atrox</i>, responsible for the majority of snakebites in the Amazon region, geographical and ontogenetic variables affect venom composition, with ecological and medical implications. Previous studies had shown that venom from neonate and juvenile <i>Bothrops</i> specimens have a higher <i>in vitro</i> coagulant activity. The aim of this investigation was to assess the association of clinical outcomes, such as venom-induced coagulopathy and local complications, with <i>B. atrox</i> ontogenetic variables. <b>Methods:</b> This study explored the relationship between some clinical parameters in patients suffering envenomations by <i>B. atrox</i> in the Amazon and several morphometric parameters of the snake specimens causing the bites. <b>Results:</b> There were 248 specimens confirmed as agents of envenomation, mostly female snakes (70.5%) and classified as juveniles (62.7%). Patients bitten by neonates compared to adult snakes [OR = 2.70 (95%CI 1.15-6.37); <i>p</i> = .021] and by snakes with white tail tip [OR = 1.98 (95%CI 1.15–3.41); <i>p</i> = .013] were more likely to develop coagulopathy. Time from patient admission to the unclottable blood reversion was not affected by the snake gender (<i>p</i> = .214) or age (<i>p</i> = .254). Patients bitten by neonate (<i>p</i> = .024) or juvenile snakes (<i>p</i> <b>Conclusion:</b> Despite these variations, no difference was observed in the time needed to recover blood clotting in these patients after <i>Bothrops</i> antivenom administration.

Resumo. Através de dados fornecidos pelo Sistema de Informação de Agravos de Notificação (SINAN),... more Resumo. Através de dados fornecidos pelo Sistema de Informação de Agravos de Notificação (SINAN), de 2003 à 2018, foi constatado que o Estado do Amazonas possui um altíssimo índice de casos diagnosticados de malária. O presente artigo apresenta na análise desses dados por meio da aplicação do algoritmo de clusterização k-means e modelo de predição utilizando deep learning. O objetivo principal é predizer a quantidade de ocorrências de malária na região, apresentando modelos específicos por cluster. Inicialmente, este trabalho apresenta os resultados referentes a cidade de Manaus, que por sua particularidade, está isolada das demais cidades, em um cluster. Resultados mostram que o modelo Long-Short Term Memory (LSTM) proposto apresenta um bom resultado, com RMSE de 0,0362.