I studied Biomedicine at the University of the Amazon (UNAMA). I was a PIBIC student at Instituto Evandro Chagas (IEC). I am a Master's student in Epidemiology and Health Surveillance (PPGEVS)/IEC.
The Predictive Role of Biomarkers for Leprosy Prophylaxis in Contacts of Patients Who Are Indices of the Disease: A Systematic Review of the Literature Luiza Raquel Tapajós Figueira, Marcos Jessé Abrahão Silva, Lucas Vinicius Moraes da Silva, Rebecca Lobato Marinho, Keitty Anne Silva Neves, Thiago Augusto Ferreira dos Anjos, Lilian Cristina Santos Sinfronio da Silva, Daniele Melo Sardinha, Everaldina Cordeiro dos Santos, Luana Nepomuceno Gondim Costa Lima Mediators of Inflammation, 2026 Leprosy continues to be an important public health problem, particularly in endemic regions such as Brazil, India, and Indonesia. Household contacts of multibacillary (MB) patients represent a high‐risk group for subclinical infection due to prolonged exposure and high bacillary load. Host biomarkers have emerged as promising tools for identifying early infections and guiding prophylactic interventions. This systematic review aimed to identify and synthesize evidence on inflammatory and immune biomarkers associated with susceptibility to leprosy and disease progression among contacts of index cases, evaluating their potential predictive and diagnostic value. The study followed the Preferred Reporting Items for Systematic Reviews (PRISMA) 2020 guidelines and was registered in the International Prospective Register of Systematic Reviews (PROSPERO) (CRD420251111469). We searched CAPES, SciELO, PubMed, ScienceDirect, EMBASE, Scopus, and EBSCO databases for original studies published between 2012 and 2025, with no language restrictions. Two review authors independently selected studies using the Rayyan software, and methodological quality was assessed using the ROBIS tool. The biomarkers most frequently investigated in the studies were particularly tumor necrosis factor‐alpha (TNF‐α) and interleukin (IL)‐10, which play regulatory roles in the host. Elevated levels of TNF‐α, interferon‐γ (IFN‐γ), IL‐6, and IL‐4 were associated with a higher risk of subclinical infection among contacts of MB patients, indicating a polyfunctional immune profile. On the other hand, paucibacillary (PB) contacts exhibited lower cytokine activation, suggesting partial protection. Additional promising markers included anti‐Mce1A, PGL‐I IgM, and CCL4, detected primarily by enzyme‐linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR) methods. In summary, inflammatory and immune biomarkers—especially TNF‐α, IL‐10, IFN‐γ, and anti‐Mce1A—demonstrate potential as predictive indicators of subclinical leprosy infection. Their combined use may increase risk stratification and allow early therapeutic intervention in endemic settings. However, longitudinal validation studies are required prior to clinical application.
Social factors are associated with disparities in epidemiological and operational indicators of COVID-19 surveillance in a region of the Brazilian Amazon Juliane Lima Alencar, Marina Pereira Queiroz dos Santos, Ana Lúcia da Silva Ferreira, Marcos Jessé Abrahão Silva, Diana da Costa Lobato, Joyce dos Santos Freitas, Mayara Annanda Oliveira Neves Kimura, Ricardo José de Paula Souza e Guimarães, Yan Corrêa Rodrigues, Daniele Melo Sardinha, Karla Valéria Batista Lima Frontiers in Public Health, 2026 Introduction COVID-19 has caused substantial impacts on health, the economy, education, and quality of life worldwide, and pandemic control measures are directly associated with the quality of the pandemic response, which is essential for developing more assertive interventions for health promotion, treatment, and control of COVID-19. Objective To evaluate epidemiological and operational indicators of COVID-19 surveillance in hospitalized patients in the state of Pará in 2021 by health mesoregion. Methodology A cross-sectional, analytical, and ecological epidemiological study. Data were obtained from the Epidemiological Surveillance of Severe Acute Respiratory Syndrome through the Influenza Epidemiological Surveillance System (SIVEP-Gripe). Results A total of 18,007 severe acute respiratory syndrome surveillance reports were included. In terms of incidence, there was a significant difference in the Lower Amazon, Southwest Pará, and Southeast Pará ( p < 0.001). In terms of lethality, the highest rates were in the Lower Amazon and Metropolitan Region of Belém ( p < 0.001). In terms of mortality, significance was observed in the Lower Amazon, the Metropolitan Region of Belém, and Southwest Pará ( p < 0.001). For timely notification (80%), sample collection (80%), completion of the collection date (100%), recording of the molecular test date (100%), and Intensive Care Unit (ICU) admission (100%), none of the mesoregions reached the target. The criterion of confirmation, evolution, and date of evolution did not reach the target (100%) in any mesoregion. For timely case closure (80%), five mesoregions reached the goal: Lower Amazon, Marajó, Metropolitan Region of Belém, Northeast Pará, and Southeast Pará. Conclusion Differences were observed between health mesoregions in both epidemiological and operational indicators. The most affected mesoregions were the Lower Amazon, Southwest Pará, and Southeast Pará, which have high social vulnerability and are farther from the metropolitan area of Belém, where health services with better hospital and laboratory structures are concentrated.
Unveiling the molecular epidemiology of Pseudomonas aeruginosa in lung infections among cystic fibrosis patients in the Brazilian Amazon Maria Isabel Montoril Gouveia, Edilene do Socorro Nascimento Falcão Sarges, Herald Souza dos Reis, Danielle Melo Sardinha, Pabllo Antonny Silva dos Santos, Layana Rufino Ribeiro, Marcos Jessé Abrahão Silva, Marcos Vinicios Hino de Melo, Ana Judith Pires Garcia Quaresma, Danielle Murici Brasiliense, Luana Nepomuceno Godim Costa Lima, Karla Valéria Batista Lima, Yan Corrêa Rodrigues BMC Microbiology, 2025 BACKGROUND: Pseudomonas aeruginosa is a major pathogen in cystic fibrosis (CF), where chronic and intermittent infections significantly affect patient outcomes. This study aimed to investigate the molecular epidemiology of P. aeruginosa in CF patients from the Brazilian Amazon, focusing on genotypic diversity, resistance profiles, and virulence factors. METHODS: A cross-sectional study included 72 P. aeruginosa isolates from 44 CF patients treated at a regional reference center between 2018 and 2019. Antimicrobial susceptibility patterns were determined using VITEK-2 system and Kirby-Bauer disk diffusion. Virulotypes were defined by molecular detection of exoS, exoU, exoT, exoY, algU, and algD genes. Genetic diversity was assessed using multilocus sequence typing (MLST). Demographic data, clinical severity, and spirometry results were also collected. RESULTS: Among the patients, 54.55% experienced intermittent infections, while 45.45% had chronic infections. Chronic infections were associated with older age, lower FEV1, and reduced Shwachman-Kulczycki scores. Multidrug resistance was observed in 15.3% of isolates, particularly against ciprofloxacin and piperacillin/tazobactam. The exoU gene was present in 55.56% of isolates, an uncommon finding in CF populations. High genetic diversity was evident, with 37 sequence types (STs), including 14 novel STs. High-risk clones (HRCs) constituted 25% of isolates, with ST274 being the most prevalent (12.5%). Longitudinal analysis revealed transient colonization in intermittent infections, while chronic infections were dominated by stable clones. CONCLUSION: This study highlights the molecular and clinical dynamics of P. aeruginosa in CF patients from the Brazilian Amazon. Chronic infections were linked to severe lung impairment , while intermittent infections were dominated by HRCs. These findings underscore the need for robust genotypic surveillance to mitigate the burden of P. aeruginosa in CF populations.
Nationwide Burden of Metallo-β-Lactamase Genes in Brazilian Clinical Klebsiella pneumoniae Isolates: A Systematic Review and Meta-Analysis Carolynne Silva dos Santos, Marcos Jessé Abrahão Silva, Pabllo Antonny Silva dos Santos, Emilly Victória Correia de Miranda, Ana Beatriz Tavares Duarte, Caio Augusto Martins Aires, Luana Nepomuceno Gondim Costa Lima, Danielle Murici Brasiliense, Cintya de Oliveira Souza, Karla Valéria Batista Lima, Yan Corrêa Rodrigues Antibiotics, 2025 Background: Class B carbapenemases confer high-level resistance to carbapenems in Klebsiella pneumoniae. In Brazil, data on the national burden and geographic distribution of these genes among clinical K. pneumoniae isolates are sporadic. We performed a systematic review and meta-analysis to estimate the prevalence of MβL genes in Brazilian clinical K. pneumoniae. Methods: We searched SciELO, PubMed, ScienceDirect and LILACS for original studies published between 2006 and 2024 reporting molecular detection of MβL in clinical K. pneumoniae isolates from Brazil. Articles were independently screened, along with the extracted data and appraised study quality using Joanna Briggs Institute checklists. A random-effects meta-analysis estimated the pooled prevalence of MβL producers and assessed heterogeneity and publication bias. Results: Fifteen studies including 3.533 clinical K. pneumoniae isolates met inclusion criteria. Overall, 402 isolates (11.4%) harbored MβL genes, yielding a pooled prevalence of 44.6%. Subgroup analysis demonstrated highest prevalence in the Southeast. blaNDM was the dominant variant (present in 14/15 studies), with blaVIM and blaIMP rarely detected. Meta-regression revealed an inverse association between sample size and reported prevalence, and no significant publication bias was observed. Conclusions: MβLs, particularly NDM, are widespread in Brazilian clinical K. pneumoniae but show marked regional heterogeneity driven by differences in study design, laboratory capacity, and outbreak dynamics. Urgent expansion of standardized and multicenter molecular surveillance, including allele-specific detection, and strengthened laboratory infrastructure are needed and may inform targeted infection-control and antimicrobial-stewardship interventions.
Functional and structural characterization of COVID-19 risk-associated exonic SNPs and identification of novel therapeutic sites: An in silico analysis Marcos Jessé Abrahão Silva, Sebastião Kauã de Sousa Bispo, Rebecca Lobato Marinho, Eliete Costa da Cruz, Thiago Pinto Brasil, Caroliny Soares Silva, Yan Corrêa Rodrigues, Cristiane Cunha Frota, Diana da Costa Lobato, Lilian Cristina Santos Sinfrônio da Silva, Everaldina Cordeiro dos Santos, Ana Judith Pires Garcia, Luana Nepomuceno Gondim Costa Lima Human Gene, 2025 The COVID-19 pandemic has highlighted the critical need for effective therapeutic strategies against viral infections, prompting research on the functional characterization of risk-associated single nucleotide polymorphisms (SNPs). This study aimed to analyze exonic SNPs that influence individual susceptibility to COVID-19 through an in silico approach. Using a comprehensive methodology, SNPs were retrieved from databases such as Science Direct and PubMed, categorized into intronic, exonic, UTR, splice site, and intergenic types, with a focus on exonic SNPs. Functional analyses were performed using various bioinformatics tools to assess the effects of synonymous and non-synonymous SNPs on mRNA structure, protein stability, protein function, and potential therapeutic sites. The results revealed significant insights into the impact of specific SNPs on COVID-19 susceptibility. For example, the synonymous SNP rs12252 of IFITM3 was found to have a moderate impact on mRNA structure and binding affinity for microRNAs, while non-synonymous SNPs exhibited varying degrees of functional consequences, with eight variants predicted to be deleterious (with emphasis on the TYK2 SNP rs34536443 that was predicted to be deleterious in all analyzes). This approach facilitated the identification of novel therapeutic targets. Finally, this research highlights the importance of understanding genetic variations in developing personalized medicine approaches for COVID-19.
Network Meta-Analytical Investigations of the Performance of HIV Combination Prevention Strategies for Indigenous Populations Marcos Jessé Abrahão Silva, Rebecca Lobato Marinho, Daniele Melo Sardinha, Diego Rafael Lima Batista, Luiza Raquel Tapajós Figueira, Tamires de Nazaré Soares, Keitty Anne Silva Neves, Aloma Mapinik Suruí, Manuella Nunes Colaço, Vinicius dos Santos Peniche, Ligia Regina Franco Sansigolo Kerr, Sebastião Kauã de Sousa Bispo, Ana Judith Pires Garcia, Carl Kendall, Luana Nepomuceno Gondim Costa Lima Viruses, 2025 Background: Indigenous populations worldwide face a disproportionate burden of HIV due to structural inequities, cultural marginalization, and limited access to health services. Despite growing recognition of the need for culturally adapted responses, the effectiveness of combination HIV prevention strategies in these communities remains underexplored. Objectives: This study aimed to evaluate and compare the effectiveness of multiple HIV prevention strategies among Indigenous populations using a systematic review and network meta-analysis (NMA), to inform equity-oriented public health interventions. Methods: Following PRISMA-NMA 2020 guidelines, a comprehensive literature search was conducted across four databases (PubMed, SciELO, LILACS, Science Direct) for quantitative studies published between January 2000 and June 2025. Eligible studies evaluated HIV prevention interventions among Indigenous populations and reported risk or odds ratios. A frequentist NMA model was used to calculate effect estimates (OR, 95% CI) and SUCRA rankings for seven types of interventions, combining biomedical, behavioral, and structural approaches. Results: Four high-to-moderate quality studies enclosing 4523 participants were included. The most effective intervention was home-based counseling and testing for HIV, followed by medical consultation combined with HIV testing. Standalone testing, while effective, was significantly less impactful than when combined with culturally sensitive educational strategies. Information-only strategies showed the least efficacy. The SUCRA analysis ranked home-based testing highest (45.17%), highlighting the importance of decentralization, community participation, and intercultural mediation. Conclusions: Culturally adapted combination prevention strategies—especially those integrating home-based testing and counseling—are more effective than isolated biomedical interventions in Indigenous populations. These findings reinforce the urgent need for participatory, context-driven public health responses that center Indigenous knowledge, reduce stigma, and expand equitable access to HIV care and prevention.
Risk of Incidence and Lethality by Etiology of Severe Acute Respiratory Syndrome in Hospitalized Children Under 1 Year of Age in Brazil in 2024: A Cross-Sectional Study Tamires de Nazaré Soares, Natasha Cristina Oliveira Andrade, Suziane do Socorro dos Santos, Marcela Raíssa Asevedo Dergan, Karina Faine Freitas Takeda, Jully Greyce Freitas de Paula Ramalho, Luany Rafaele da Conceição Cruz, Perla Katheleen Valente Corrêa, Marli de Oliveira Almeida, Joyce dos Santos Freitas, Wilker Alves Silva, Marcos Jessé Abrahão Silva, Daniele Melo Sardinha, Luana Nepomuceno Gondim Costa Lima Tropical Medicine and Infectious Disease, 2025 Severe Acute Respiratory Syndrome (SARS) represents a significant cause of morbidity and mortality in children under one year of age, a particularly vulnerable population due to immunological and respiratory immaturity. The diverse etiology includes multiple respiratory viruses such as Respiratory Syncytial Virus (RSV), influenza, rhinovirus, and SARS-CoV-2, each with distinct potential to cause severe illness and death. Understanding the specific incidence and lethality by etiological agents in the recent Brazilian context (2024), after the COVID-19 pandemic, is essential to guide surveillance and public health strategies. This study aimed to analyze the risk of incidence and lethality by specific etiology of SARS in children under one year of age hospitalized in Brazil during the year 2024. A descriptive cross-sectional study was performed using secondary data from the 2024 Influenza Epidemiological Surveillance Information System (SIVEP-Gripe), obtained via OpenDataSUS. Reported cases of SARS hospitalized in children <1 year of age in Brazil were included. Distribution by final classification and epidemiological week (EW) was analyzed; the incidence rate by Federative Unit (FU) (cases/100,000 < 1 year) with risk classification (Low/Moderate/High) was assessed; and, for cases with positive viral RT-PCR, the etiological frequency and virus-specific lethality rate (deaths/total cases of etiology ×100), also with risk classification, were extracted. A multivariate logistic regression model was performed for the risk factors of death. A total of 66,170 cases of SARS were reported in children under 1 year old (national incidence: 2663/100,000), with a seasonal peak between April and May. The majority of cases were classified as “SARS due to another respiratory virus” (49.06%) or “unspecified” (37.46%). Among 36,009 cases with positive RT-PCR, RSV (50.06%) and rhinovirus (26.97%) were the most frequent. The overall lethality in RT-PCR-positive cases was 1.28%. Viruses such as parainfluenza 4 (8.57%), influenza B (2.86%), parainfluenza 3 (2.49%), and SARS-CoV-2 (2.47%) had higher lethality. The multivariate model identified parainfluenza 4 (OR = 6.806), chronic kidney disease (OR = 3.820), immunodeficiency (OR = 3.680), Down Syndrome (OR = 3.590), heart disease (OR = 3.129), neurological disease (OR = 2.250), low O2 saturation (OR = 1.758), SARS-CoV-2 (OR = 1.569) and respiratory distress (OR = 1.390) as risk factors for death. Cough (OR = 0.477) and RSV (OR = 0.736) were associated with a lower chance of death. The model had good calibration (Hosmer–Lemeshow p = 0.693) and overall significance (p < 0.001). SARS represented a substantial burden of hospitalizations, with marked seasonal and geographic patterns. RSV and rhinovirus were the main agents responsible for the volume of confirmed cases but had a relatively low to moderate risk of lethality. In contrast, less frequent viruses such as parainfluenza 4, influenza B, parainfluenza 3, and SARS-CoV-2 were associated with a significantly higher risk of death. These findings highlight the importance of dissociating frequency from lethality and reinforce the need to strengthen etiological surveillance, improve diagnosis, and direct preventive strategies (such as immunizations) considering the specific risk of each pathogen for this vulnerable population.
Prevalence of COVID-19 vaccine hesitancy in Brazil: a systematic review and meta-analysis Daniele Melo Sardinha, Marcos Jessé Abrahão Silva, Sebastião Kauã de Sousa Bispo, Alex Patrick Oliveira da Silva, Karla Valéria Batista Lima, Ilma Pastana Ferreira, Luana Nepomuceno Gondim Costa Lima Frontiers in Public Health, 2025 IntroductionVaccines have long been one of the most effective strategies for public health during epidemics and pandemics caused by infectious diseases. Vaccine hesitancy is a public health problem that hinders the control of disease transmission. It refers to the refusal or reluctance to receive vaccines for various reasons, including sex, personal beliefs, cultural factors, and a lack of confidence in vaccine safety and efficacy. The COVID-19 pandemic was controlled using vaccines, but maintaining ideal vaccination coverage is essential to continue reducing hospitalizations and deaths from COVID-19. In Brazil, vaccination coverage did not reach the targeted goal, raising concerns about the ongoing impact of COVID-19.ObjectiveThe study aimed to investigate the prevalence of COVID-19 vaccine hesitancy in Brazil.MethodologyA systematic review with meta-analysis was carried out using the PubMed, Medline, LILACS, and ScienceDirect databases.ResultsIn the search, 238 articles were reviewed, of which 8 were found to be eligible for analysis. The prevalence of vaccine hesitancy was 13.3%, or 0.133 (95% CI = 0.082–0.208), in Brazil. In the subgroup analysis by pandemic wave, the first pandemic wave showed a prevalence of 13.6% or 0.136 (95% CI = 0.081–0.220), while the second pandemic wave had a prevalence of 11.4% or 0.114 (95% CI = 0.029–0.358). Due to heterogeneity, meta-regression showed a significant association between vaccine hesitancy and parents of children and adolescents (Q = 95.55; df = 2; p = &lt;0.0001), indicating that vaccine hesitancy is significantly higher in this population compared to the general population and older adults. Fake news, lack of knowledge, personal beliefs, income, being a woman, being a young male individual without comorbidities, being married with older children, being older, and being asymptomatic were the main factors influencing vaccine hesitancy.ConclusionIn the first meta-analysis conducted in Brazil, vaccine hesitancy was more prevalent among parents of children and adolescents, and vaccine hesitancy decreased in the second pandemic wave. Public policies must be developed to address the factors that interfere with acceptance of the COVID-19 vaccine.
HIV incidence trends in Brazil and neighboring countries: an ecological and analytical study on public health Thiago Augusto Ferreira dos Anjos, Aline Moraes Monteiro, Daniele Melo Sardinha, Luiza Raquel Tapajós Figueira, Marcos Jessé Abrahão Silva, Rebecca Lobato Marinho, Mayara Annanda Oliveira Neves Kimura, Tamires de Nazaré Soares, Luana Nepomuceno Gondim Costa Lima Frontiers in Public Health, 2025 IntroductionThe Human Immunodeficiency Virus (HIV) is a global public health problem. In Latin America this problem is aggravating and widespread, with regard to the countries bordering Brazil, the notification of cases among men and women shows an aggravating panorama, which requires actions and services aimed at monitoring and changing this chain of transmission.ObjectiveTo investigate the trend of HIV incidence in Brazil and neighboring countries from 2013 to 2023.MethodsAn ecological, retrospective and quantitative study on HIV in Brazil and border countries, Excel 2019 and R language were used to process and analyze the data, it is worth noting that no data was found for French Guiana.Results and discussionBased on the analyses performed, including violin statistics, linear regressions, ARIMA models, and comparability tests, it was possible to identify relevant patterns among the countries observed. Bolivia showed consistent and statistically significant growth in the HIV incidence rate, with an increase of 83.8% over the decade analyzed (R2 = 0.67; p = 0.0022). On the other hand, Guyana, although still among the countries with the highest incidence rates, showed a significant reduction of 31.6%. Suriname remained one of the countries with the highest rates throughout the period, exceeding 100 cases per 100,000 inhabitants in certain years. Spatial analysis revealed considerable disparities, particularly in border areas, where there is a higher concentration of cases, indicating the need for targeted public policies and shared surveillance efforts. Countries such as Peru, Colombia, and Paraguay also showed a growing trend, while Argentina, Uruguay, and Venezuela showed a decline or stagnation, although in some cases this apparent stability may be linked to underreporting.ConclusionSome countries need to strengthen actions and services to monitor and break the chain of transmission, and implement public policies, as well as re-evaluate and ensure in countries with socio-economic and political crisis, in order to transform this aggravating panorama in Latin and South America.
Analyses of haplotypes of TLR2 and TLR3 genes for COVID-19 prognosis in a cohort of professionals who worked in the first pandemic wave in Belém-PA, Brazil Marcos Jessé Abrahão Silva, Luiza Raquel Tapajós Figueira, Daniele Melo Sardinha, Eliete Costa da Cruz, Natasha Cristina Oliveira Andrade, Sebastião Kauã De Sousa Bispo, Thiago Augusto Ferreira Dos Anjos, Everaldina Cordeiro Dos Santos, Ana Judith Pires Garcia, Luana Nepomuceno Gondim Costa Lima Frontiers in Genetics, 2025 Coronavirus disease 2019 (COVID-19) is a multisystemic disease caused by SARS-CoV-2 that can lead to several pulmonary illnesses according to the immunological contexts of the individual. Haplotypes consist of single-nucleotide polymorphisms (SNPs) within candidate genes for diseases. TLR2 and TLR3 are genes located on human chromosome 4 (chr:4) and composite a haplotype that influence immune signaling and inflammatory pathways. The purpose of this article was to genetically analyze in silico a cohort of professionals from Belém-PA during the first wave of the pandemic using SNPs rs3804100, rs3775290, and rs3775291 on the human chr:4. This is a computational genomic design using bioinformatic software and machine-learning technologies on epidemiological data of Sanger sequencing data. Regarding the findings, none of the alleles formed by the haplotype showed statistical significance for symptomatology or disease severity. The haplotype block was not significant between the SNPs analyzed despite a high permutation rate of alleles at the beginning of the variance of the individual genomic data. Then, the TLR2–TLR3 haplotype (SNPs rs3804100, rs3775290, and rs3775291) showed little determination in the clinic of individuals with COVID-19 in Belém (Northern Brazil), which may indicate differences in collective genetic patterns and/or epigenetic influences compared to other more affected populations that have the same haplotype pattern.
AIDS in the Brazilian Amazon: epidemiological trends and disparities across states Thiago Augusto Ferreira dos Anjos, Ana Paula Ferreira David, Ruth Stephany Costa Silva, Sebastião Kauã de Sousa Bispo, Bruna Labibe Amin da Silva, Adson Lucas Ferreira de Almeida, Luiza Raquel Tapajós Figueira, Marcos Jessé Abrahão Silva, Daniele Melo Sardinha, Lilian Cristina Santos sinfronio da Silva, Rebecca Lobato Marinho, Everaldina Cordeiro dos Santos, Luana Nepomuceno Gondim Costa Lima Frontiers in Public Health, 2025
Molecular Epidemiology of Pseudomonas aeruginosa in Brazil: A Systematic Review and Meta-Analysis Yan Corrêa Rodrigues, Marcos Jessé Abrahão Silva, Herald Souza dos Reis, Pabllo Antonny Silva dos Santos, Daniele Melo Sardinha, Maria Isabel Montoril Gouveia, Carolynne Silva dos Santos, Davi Josué Marcon, Caio Augusto Martins Aires, Cintya de Oliveira Souza, Ana Judith Pires Garcia Quaresma, Luana Nepomuceno Gondim Costa Lima, Danielle Murici Brasiliense, Karla Valéria Batista Lima Antibiotics, 2024
Assessment of the Risk Impact of SARS-CoV-2 Infection Prevalence between Cats and Dogs in America and Europe: A Systematic Review and Meta-Analysis Marcos Jessé Abrahão Silva, Davi Silva Santana, Marceli Batista Martins Lima, Caroliny Soares Silva, Letícia Gomes de Oliveira, Ellerson Oliveira Loureiro Monteiro, Rafael dos Santos Dias, Bruna de Kássia Barbosa Pereira, Paula Andresa da Silva Nery, Márcio André Silva Ferreira, Matheus Alonso de Souza Sarmento, Andrea Alexandra Narro Ayin, Ana Cristina Mendes de Oliveira, Karla Valéria Batista Lima, Luana Nepomuceno Gondim Costa Lima Pathogens, 2024
An update on leprosy immunopathogenesis: systematic review Marcos Jessé Abrahão Silva, Caroliny Soares Silva, Thiago Pinto Brasil, Ana Karoliny Alves, Everaldina Cordeiro dos Santos, Cristiane Cunha Frota, Karla Valéria Batista Lima, Luana Nepomuceno Gondim Costa Lima Frontiers in Immunology, 2024
Hyperinflammatory Response in COVID-19: A Systematic Review Marcos Jessé Abrahão Silva, Layana Rufino Ribeiro, Maria Isabel Montoril Gouveia, Beatriz dos Reis Marcelino, Carolynne Silva dos Santos, Karla Valéria Batista Lima, Luana Nepomuceno Gondim Costa Lima Viruses, 2023
The Presence of Mycobacterium leprae in Wild Rodents Maxwell Furtado de Lima, Maria do Perpétuo Socorro Amador Silvestre, Everaldina Cordeiro dos Santos, Lívia Caricio Martins, Juarez Antônio Simões Quaresma, Bruno de Cássio Veloso de Barros, Marcos Jessé Abrahão Silva, Luana Nepomuceno Gondim Costa Lima Microorganisms, 2022
