Changing Clinical Epidemiology of Plasmodium vivax Malaria as Transmission Decreases: Population-Based Prospective Panel Survey in the Brazilian Amazon.

BACKGROUND: Malarial infections are often missed by microscopy, and most parasite carriers are asymptomatic in low-endemicity settings. Whether parasite detectability and its ability to elicit symptoms change as transmission declines remains unclear. METHODS: We performed a prospective panel survey with repeated measurements on the same participants over 12 months to investigate whether Plasmodium vivax detectability by microscopy and risk of symptoms upon infection varied during a community-wide larviciding intervention in the Amazon basin of Brazil that markedly reduced vector density. We screened 1096 to 1400 residents in the intervention site for malaria by microscopy and quantitative TaqMan assays at baseline and twice during intervention. RESULTS: We found that more P vivax infections than expected from their parasite densities measured by TaqMan assays were missed by microscopy as transmission decreased. At lower transmission, study participants appeared to tolerate higher P vivax loads without developing symptoms. We hypothesize that changes in the ratio between circulating parasites and those that accumulate in the bone marrow and spleen, by avoiding peripheral blood microscopy detection, account for decreased parasite detectability and lower risk of symptoms under low transmission. CONCLUSIONS: P vivax infections are more likely to be subpatent and remain asymptomatic as malaria transmission decreases.

Quantifying gaps in the tuberculosis care cascade in Brazil: A mathematical model study using national program data.

BACKGROUND: In Brazil, many individuals with tuberculosis (TB) do not receive appropriate care due to delayed or missed diagnosis, ineffective treatment regimens, or loss-to-follow-up. This study aimed to estimate the health losses and TB program costs attributable to each gap in the care cascade for TB disease in Brazil. METHODS AND FINDINGS: We constructed a Markov model simulating the TB care cascade and lifetime health outcomes (e.g., death, cure, postinfectious sequelae) for individuals developing TB disease in Brazil. We stratified the model by age, human immunodeficiency virus (HIV) status, drug resistance, state of residence, and disease severity, and developed a parallel model for individuals without TB that receive a false-positive TB diagnosis. Models were fit to data (adult and pediatric) from Brazil's Notifiable Diseases Information System (SINAN) and Mortality Information System (SIM) for 2018. Using these models, we assessed current program performance and simulated hypothetical scenarios that eliminated specific gaps in the care cascade, in order to quantify incremental health losses and TB diagnosis and treatment costs along the care cascade. TB-attributable disability-adjusted life years (DALYs) were calculated by comparing changes in survival and nonfatal disability to a no-TB counterfactual scenario. We estimated that 90.0% (95% uncertainty interval [UI]: 85.2 to 93.4) of individuals with TB disease initiated treatment and 10.0% (95% UI: 7.6 to 12.5) died with TB. The average number of TB-attributable DALYs per incident TB case varied across Brazil, ranging from 2.9 (95% UI: 2.3 to 3.6) DALYs in Acre to 4.0 (95% UI: 3.3 to 4.7) DALYs in Rio Grande do Sul (national average 3.5 [95% UI: 2.8 to 4.1]). Delayed diagnosis contributed the largest health losses along the care cascade, followed by post-TB sequelae and loss to follow up from TB treatment, with TB DALYs reduced by 71% (95% UI: 65 to 76), 41% (95% UI: 36 to 49), and 10% (95% UI: 7 to 16), respectively, when these factors were eliminated. Total health system costs were largely unaffected by improvements in the care cascade, with elimination of treatment failure reducing attributable costs by 3.1% (95% UI: 1.5 to 5.4). TB diagnosis and treatment of false-positive individuals accounted for 10.2% (95% UI: 3.9 to 21.7) of total programmatic costs but contributed minimally to health losses. Several assumptions were required to interpret programmatic data for the analysis, and we were unable to estimate the contribution of social factors to care cascade outcomes. CONCLUSIONS: In this study, we observed that delays to diagnosis, post-disease sequelae and treatment loss to follow-up were primary contributors to the TB burden of disease in Brazil. Reducing delays to diagnosis, improving healthcare after TB cure, and reducing treatment loss to follow-up should be prioritized to improve the burden of TB disease in Brazil.

Predictors of unsuccessful tuberculosis treatment outcomes in Brazil: an analysis of 259,484 patient records.

INTRODUCTION: Tuberculosis (TB) causes over 1 million deaths annually. Providing effective treatment is a key strategy for reducing TB deaths. In this study, we identified factors associated with unsuccessful treatment outcomes among individuals treated for TB in Brazil. METHODS: We obtained data on individuals treated for TB between 2015 and 2018 from Brazil's National Disease Notification System (SINAN). We excluded patients with a history of prior TB disease or with diagnosed TB drug resistance. We extracted information on patient-level factors potentially associated with unsuccessful treatment, including demographic and social factors, comorbid health conditions, health-related behaviors, health system level at which care was provided, use of directly observed therapy (DOT), and clinical examination results. We categorized treatment outcomes as successful (cure, completed) or unsuccessful (death, regimen failure, loss to follow-up). We fit multivariate logistic regression models to identify factors associated with unsuccessful treatment. RESULTS: Among 259,484 individuals treated for drug susceptible TB, 19.7% experienced an unsuccessful treatment outcome (death during treatment 7.8%, regimen failure 0.1%, loss to follow-up 11.9%). The odds of unsuccessful treatment were higher with older age (adjusted odds ratio (aOR) 2.90 [95% confidence interval: 2.62-3.21] for 85-100-year-olds vs. 25-34-year-olds), male sex (aOR 1.28 [1.25-1.32], vs. female sex), Black race (aOR 1.23 [1.19-1.28], vs. White race), no education (aOR 2.03 [1.91-2.17], vs. complete high school education), HIV infection (aOR 2.72 [2.63-2.81], vs. no HIV infection), illicit drug use (aOR 1.95 [1.88-2.01], vs. no illicit drug use), alcohol consumption (aOR 1.46 [1.41-1.50], vs. no alcohol consumption), smoking (aOR 1.20 [1.16-1.23], vs. non-smoking), homelessness (aOR 3.12 [2.95-3.31], vs. no homelessness), and immigrant status (aOR 1.27 [1.11-1.45], vs. non-immigrants). Treatment was more likely to be unsuccessful for individuals treated in tertiary care (aOR 2.20 [2.14-2.27], vs. primary care), and for patients not receiving DOT (aOR 2.35 [2.29-2.41], vs. receiving DOT). CONCLUSION: The risk of unsuccessful TB treatment varied systematically according to individual and service-related factors. Concentrating clinical attention on individuals with a high risk of poor treatment outcomes could improve the overall effectiveness of TB treatment in Brazil.

Exposure to Pesticides and Breast Cancer in an Agricultural Region in Brazil.

Rural workers are disproportionally exposed to pesticides and might be at an increased risk of developing chronic diseases. Here, we investigated the impact of pesticide exposure on breast cancer (BC) risk and disease profile in rural female workers. This is a case-control study that prospectively included 758 individuals. The study was conducted in the Southwest region of Paraná state in Brazil, a region characterized by family-based agriculture and intensive use of pesticides. We found that this region has a 41% higher BC diagnosis rate and 14% higher BC mortality rate than the mean rates in Brazil, as well as a pesticide trade volume about 6 times higher than the national average. We showed substantial exposure in this population and found that even women who did not work in the fields but performed equipment decontamination and clothes washing of male partners who worked in the fields had urine samples positive for glyphosate, atrazine, and/or 2,4-D. The crude association showed a significantly higher risk of BC among women exposed to pesticides (OR: 1.58, 95% CI 1.18-2.13). Adjusted analyses showed a lower and nonstatistically significant association (OR: 1.30, 95% CI 41 0.87-1.95). Stratification on disease profile showed a significantly higher risk of lymph node metastasis (adjusted OR: 2.19, 95% CI 1.31-3.72) in women exposed to pesticides. Our findings suggest that female populations exposed to pesticides are at a higher risk of developing BC with a more aggressive profile and draw attention to the need to monitor rural populations potentially exposed to pesticides in the field or at home.

Relationships Between Mental Health, Negative Feelings of COVID-19, and Parenting Among Pregnant Women in Fortaleza, Brazil.

INTRODUCTION: During the COVID-19 pandemic, the literature highlighted an increased risk of child abuse and the use of negative parenting practices. Furthermore, pregnancy during this time may have been challenging and generated different feelings regarding the pandemic and motherhood. Many pregnant women had other young children, underscoring the need to understand this scenario better. Therefore, the present study examined the predictive effect of indicators of mental health disorders, emotional discomfort with motherhood, and negative perceptions of COVID-19 on negative parenting practices. METHODS: The study used a cross-sectional design. Pregnant women (n = 303) who had other children younger than six years answered an online questionnaire during the physical distancing period due to COVID-19 in Fortaleza. A partially latent structural equation model (SEM) was used to test direct and indirect relations between the variables. RESULTS: The results revealed a direct positive relation between maternal mental health and the variables COVID-19 feelings, emotional discomfort with motherhood, and negative parenting practices. The stronger relationship was between maternal mental health and emotional discomfort with motherhood. The COVID-19 negative feelings also showed a direct positive relation to emotional discomfort with motherhood. Additionally, older mothers and those with fewer children tended to have less mental health disorders. Furthermore, being in a later trimester of pregnancy was linked to more negative feelings about motherhood. DISCUSSION: The study suggests that mothers experiencing mental health challenges are more likely to feel discomfort with motherhood and use negative parenting practices, highlighting a need for intervention.

Exposure to ultra-processed foods during pregnancy and ultrasound fetal growth parameters.

Periconceptional maternal ultra-processed food (UPF) consumption impairs embryonic growth. Impacts of exposure to UPF on distinct components of fetal growth in late pregnancy are unknown. We investigated the influence of frequency of UPF consumption during pregnancy on fetal head circumference (HC), abdominal circumference (AC) and femur length (FL). This study included 417 live-born singleton pregnancies prospectively followed-up since the antenatal period in the MINA-Brazil Study, with an available ultrasound scan at >24 gestational weeks. Frequency of food groups consumption in the previous month was categorised as no/monthly, weekly or daily. Ultrasound scans were conducted at 27·8 (sd: 1·7) gestational weeks. HC, AC and FL z-scores were calculated for gestational age using the INTERGROWTH-21st Project standards. Simultaneous-quantile regression models were fitted at the 10th, 50th and 90th percentiles of the distribution of each ultrasound parameter according to UPF consumption, with adjustment for potential confounders. Participants were aged on average 24·7 (sd: 6·5) years, 44·8 % were primiparous, and 26·9 % and 24·9 %, respectively, had weekly and daily UPF consumption. Compared with no/monthly intake, daily UPF consumption impaired HC across its distribution, with significant effect sizes varying from -0·24 to -0·40 z-score. Weekly UPF consumption decreased HC at the 90th percentile by -0·39 z-score (95 % CI: -0·78, -0·01) and FL at the 50th percentile by -0·32 z-score (95 % CI: -0·60, -0·04). No association was noted with AC. Frequency of UPF consumption was negatively associated with skeletal components of fetal growth in late pregnancy. Infant body composition may benefit from healthy food practices since pregnancy.

Research Note: COVID-19 Is Not an Independent Cause of Death.

The COVID-19 pandemic has had overwhelming global impacts with deleterious social, economic, and health consequences. To assess the COVID-19 death toll, researchers have estimated declines in 2020 life expectancy at birth (e0). When data are available only for COVID-19 deaths, but not for deaths from other causes, the risks of dying from COVID-19 are typically assumed to be independent of those from other causes. In this research note, we explore the soundness of this assumption using data from the United States and Brazil, the countries with the largest number of reported COVID-19 deaths. We use three methods: one estimates the difference between 2019 and 2020 life tables and therefore does not require the assumption of independence, and the other two assume independence to simulate scenarios in which COVID-19 mortality is added to 2019 death rates or is eliminated from 2020 rates. Our results reveal that COVID-19 is not independent of other causes of death. The assumption of independence can lead to either an overestimate (Brazil) or an underestimate (United States) of the decline in e0, depending on how the number of other reported causes of death changed in 2020.

Acceptability of a hypothetical dengue vaccine and the potential impact of dengue vaccination on personal vector control behavior: a qualitative study in Fortaleza, Brazil.

BACKGROUND: Dengue is the most rapidly spreading viral vector-borne disease in the world. Promising new dengue vaccines have contributed to a growing consensus that effective dengue control will require integrated strategies of vaccination and vector control. In this qualitative study, we explored the perspectives of residents of Fortaleza, Brazil on acceptability of a hypothetical safe and effective dengue vaccine, specific drivers of dengue vaccine acceptance or hesitance, and the expected impact of dengue vaccination on their personal vector control practices. METHODS: A total of 43 in-depth interviews were conducted from April to June 2022 with Fortaleza residents from a diverse range of educational and professional backgrounds, with and without recent personal experiences of symptomatic dengue infections. Data were analyzed using the principles of inductive grounded theory methodology. RESULTS: Our findings indicate that knowledge of dengue transmission, symptoms, and prevention methods was strong across respondents. Respondents described willingness to accept a hypothetical dengue vaccine for themselves and their children, while emphasizing that the vaccine must be demonstrably safe and effective. Respondents expressed diverse perspectives on how receiving a safe and effective dengue vaccine might influence their personal vector control behaviors, relating these behaviors to their perception of risk from other Aedes mosquito-carried infections and beliefs about the role of vector control in maintaining household cleanliness. CONCLUSIONS: Our study findings provide community-level perspectives on dengue vaccination and its potential impact on personal vector control behavior for policymakers and program managers in Fortaleza to consider as new dengue vaccines become available. With the introduction of any new dengue vaccine, community perspectives and emerging concerns that may drive vaccine hesitancy should be continuously sought out. Improved urban infrastructure and efforts to engage individuals and communities in vector control may be needed to optimize the impact of future dengue vaccinations and prevent rising cases of other arboviruses such as Zika and chikungunya.

Impact of the COVID-19 pandemic on maternal mental health, early childhood development, and parental practices: a global scoping review.

BACKGROUND: In March 2020, the COVID-19 outbreak was declared a pandemic by the World Health Organization (WHO), generating stark economic and social repercussions that directly or indirectly affected families' wellbeing and health status. AIMS: This review aims at mapping the existing evidence on the impact of the COVID-19 pandemic on maternal mental health, early childhood development, and parental practices, worldwide, to identify evidence gaps and better inform future delivery of care and health policy measures. METHODS: Following the protocol defined by PRISMA-ScR, this scoping review has searched for relevant studies published between January 2020 and June 2021, selecting evidence sources based on pre-established criteria. From a total of 2,308 articles, data were extracted from 537 publications from 35 countries on all three health domains. RESULTS: The combined stressors brought forth by the pandemic have exerted a heavy burden on the mental health of mothers and the development of young children, partly mediated by its impact on parental practices. CONCLUSIONS: Despite remaining gaps, we have identified sufficient evidence pointing to an urgent need for more concerted global research efforts and rapid policy responses to timely address severe and pervasive negative impacts to the mental health of mothers and children at a key developmental stage.

Gender and Violence in the Daily Routine of Community Health Workers in Fortaleza, Brazil.

Community Health Workers (CHWs) are the link between the Brazilian primary health care system and the community. Since CHWs live in the same neighborhoods they work, they are involved in what happens in the community, including observants and or potential targets of violence. However, it is not known if female and male CHWs perceive and suffer violence similarly. This study aimed to investigate the violence to which CHWs are exposed and if female CHWs experience and or perceive violence the same way as male CHWs. A structured questionnaire was used to collect information from CHWs. Two periods (2019 [n=1402] and 2021 [n=364]) were compared. The data show that more than 80% of CHWs were exposed to violence, either as victims or witnesses within the community they served. In general, while the occurrence of violence towards CHWs decreased, their perception of community violence increased. Over time, the perception of urban/community violence remained constant among male CHWs, but increased among female CHWs, as shown by the significant rise between 2019 and 2021 in the percentage of female CHWs reporting witnessing or hearing about manifestations of violence (e.g., physical aggression; assault; stabbing; lethal gunshot; non-lethal gunshot; and gang violence). Among male CHWs, perception only increased with regard to the item assault. Given the complexity of violence and its repercussions on the daily routines of CHWs, intersectoral and interdisciplinary partnerships between health workers and other stakeholders are needed to create strategies capable of dealing with expressions of violence in the territories served.

Incubation periods impact the spatial predictability of cholera and Ebola outbreaks in Sierra Leone.

Forecasting the spatiotemporal spread of infectious diseases during an outbreak is an important component of epidemic response. However, it remains challenging both methodologically and with respect to data requirements, as disease spread is influenced by numerous factors, including the pathogen's underlying transmission parameters and epidemiological dynamics, social networks and population connectivity, and environmental conditions. Here, using data from Sierra Leone, we analyze the spatiotemporal dynamics of recent cholera and Ebola outbreaks and compare and contrast the spread of these two pathogens in the same population. We develop a simulation model of the spatial spread of an epidemic in order to examine the impact of a pathogen's incubation period on the dynamics of spread and the predictability of outbreaks. We find that differences in the incubation period alone can determine the limits of predictability for diseases with different natural history, both empirically and in our simulations. Our results show that diseases with longer incubation periods, such as Ebola, where infected individuals can travel farther before becoming infectious, result in more long-distance sparking events and less predictable disease trajectories, as compared to the more predictable wave-like spread of diseases with shorter incubation periods, such as cholera.

From Bolsonaro to Lula: The opportunity to rebuild universal healthcare in Brazil in the government transition.

This paper takes the government transition that took place between 2022 and 2023 in Brazil as a case study and aims to analyse how a cycle of radical right-wing populist government acted to dismantle Brazil's national health system foundations. It describes how governance was built based on political-clientelism and market-privatising interests and on the adoption of long-term fiscal austerity policies, whose results are public defunding and weakening and disorganisation of the country's national health system, with a significant worsening of health indicators and the capacity to respond to the population health needs. The lessons from recent experience in Brazil should serve as learning and a source of academic and political reflection, since there is an ongoing international movement and signs of rise of radical right-wing populist regimes in several countries, which endanger the Democratic Rule of Law, institutions, and social policies. It allows putting into perspective how political cycles of this nature can affect national universal health systems, including those that have experienced substantial progress towards universal access and universal health coverage. Keeping in mind the Brazilian experience, it was possible to observe the progressive structuring of a radical right-wing neo-populism and in the sanitarian.

Deaths Related to Chagas Disease and COVID-19 Co-Infection, Brazil, March-December 2020.

We analyzed epidemiologic characteristics and distribution of 492 deaths related to Chagas disease and coronavirus disease (COVID-19) co-infection in Brazil during March‒December 2020. Cumulative co-infected death rates were highest among advanced age groups, persons of Afro-Brazilian ethnicity and with low education levels, and geographically distributed mainly in major Chagas disease‒endemic areas.

Epidemiology of COVID-19 after Emergence of SARS-CoV-2 Gamma Variant, Brazilian Amazon, 2020-2021.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Gamma variant has been hypothesized to cause more severe illness than previous variants, especially in children. Successive SARS-CoV-2 IgG serosurveys in the Brazilian Amazon showed that age-specific attack rates and proportions of symptomatic SARS-CoV-2 infections were similar before and after Gamma variant emergence.

Development, environmental degradation, and disease spread in the Brazilian Amazon.

The Amazon is Brazil's greatest natural resource and invaluable to the rest of the world as a buffer against climate change. The recent election of Brazil's president brought disputes over development plans for the region back into the spotlight. Historically, the development model for the Amazon has focused on exploitation of natural resources, resulting in environmental degradation, particularly deforestation. Although considerable attention has focused on the long-term global cost of "losing the Amazon," too little attention has focused on the emergence and reemergence of vector-borne diseases that directly impact the local population, with spillover effects to other neighboring areas. We discuss the impact of Amazon development models on human health, with a focus on vector-borne disease risk. We outline policy actions that could mitigate these negative impacts while creating opportunities for environmentally sensitive economic activities.

Editorial Perspective: The mental health impact of school closures during the COVID-19 pandemic.

School closures were one of the earlier actions taken as the world tried to contain the COVID-19 outbreak, a decision impacting nearly three-fourths of the learners worldwide. One year into the pandemic, over 200 million students still faced disruptions to their education. Nearing the end of another academic year that has occurred entirely during the pandemic, many schools remained fully or partially closed for in-person education, altering routines and representing potential hardships to the next generation and their families. This article will explore the potential impacts of school closures on children and adolescents related to increased screen time, irregular sleep patterns, less balanced diets, learning difficulties, and changes in social interaction. In addition, we note broader familial difficulties likely accompanying the loss of the mitigating effects of schools and their associated support systems, such as parental stress and work responsibilities, loss of employment, intimate partner violence, child abuse and neglect, and parental substance abuse, which appear to have increased during the pandemic. Considering what is known about the impact from previous natural catastrophes, the populations at risk, and the early but not yet definitive data from the current pandemic, we stress the urgent need for robust data as we prepare for a new academic year in the Northern Hemisphere. Although we currently lack consistent and complete data, signs for concern include a rise in pediatric emergency room visits for mental health and substance use issues in many parts of the world. This paper aims to stimulate a discussion about the potential mental health effects of school closures for children and adolescents in the context of a pandemic.

The economic burden of malaria: a systematic review.

BACKGROUND: Quantifying disease costs is critical for policymakers to set priorities, allocate resources, select control and prevention strategies, and evaluate the cost-effectiveness of interventions. Although malaria carries a very large disease burden, the availability of comprehensive and comparable estimates of malaria costs across endemic countries is scarce. METHODS: A literature review to summarize methodologies utilized to estimate malaria treatment costs was conducted to identify gaps in knowledge. RESULTS: Only 45 publications met the inclusion criteria. They utilize different methods, include distinct cost components, have varied geographical coverage (a country vs a city), include different periods in the analysis, and focus on specific parasite types or population groups (e.g., pregnant women). CONCLUSIONS: Cost estimates currently available are not comparable, hindering broad statements on the costs of malaria, and constraining advocacy efforts towards investment in malaria control and elimination, particularly with the finance and development sectors of the government.

Interacting Epidemics in Amazonian Brazil: Prior Dengue Infection Associated With Increased Coronavirus Disease 2019 (COVID-19) Risk in a Population-Based Cohort Study.

BACKGROUND: Immunity after dengue virus (DENV) infection has been suggested to cross-protect from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and mortality. METHODS: We tested whether serologically proven prior DENV infection diagnosed in September-October 2019, before the coronavirus disease 2019 (COVID-19) pandemic, reduced the risk of SARS-CoV-2 infection and clinically apparent COVID-19 over the next 13 months in a population-based cohort in Amazonian Brazil. Mixed-effects multiple logistic regression analysis was used to identify predictors of infection and disease, adjusting for potential individual and household-level confounders. Virus genomes from 14 local SARS-CoV-2 isolates were obtained using whole-genome sequencing. RESULTS: Anti-DENV immunoglobulin G (IgG) was found in 37.0% of 1285 cohort participants (95% confidence interval [CI]: 34.3% to 39.7%) in 2019, with 10.4 (95% CI: 6.7-15.5) seroconversion events per 100 person-years during the follow-up. In 2020, 35.2% of the participants (95% CI: 32.6% to 37.8%) had anti-SARS-CoV-2 IgG and 57.1% of the 448 SARS-CoV-2 seropositives (95% CI: 52.4% to 61.8%) reported clinical manifestations at the time of infection. Participants aged >60 years were twice more likely to have symptomatic COVID-19 than children under 5 years. Locally circulating SARS-CoV-2 isolates were assigned to the B.1.1.33 lineage. Contrary to the cross-protection hypothesis, prior DENV infection was associated with twice the risk of clinically apparent COVID-19 upon SARS-CoV-2 infection, with P values between .025 and .039 after adjustment for identified confounders. CONCLUSIONS: Higher risk of clinically apparent COVID-19 among individuals with prior dengue has important public health implications for communities sequentially exposed to DENV and SARS-CoV-2 epidemics.

Trends in Untreated Tuberculosis in Large Municipalities, Brazil, 2008-2017.

We adapted a mathematical modeling approach to estimate tuberculosis (TB) incidence and fraction treated for 101 municipalities of Brazil during 2008-2017. We found the average TB incidence rate decreased annually (0.95%), and fraction treated increased (0.30%). We estimated that 9% of persons with TB did not receive treatment in 2017.

Cross-border malaria in Northern Brazil.

BACKGROUND: Cross-border malaria is a major barrier to elimination efforts. Along the Venezuela-Brazil-Guyana border, intense human mobility fueled primarily by a humanitarian crisis and illegal gold mining activities has increased the occurrence of cross-border cases in Brazil. Roraima, a Brazilian state situated between Venezuela and Guyana, bears the greatest burden. This study analyses the current cross-border malaria epidemiology in Northern Brazil between the years 2007 and 2018. METHODS: De-identified data on reported malaria cases in Brazil were obtained from the Malaria Epidemiological Surveillance Information System for the years 2007 to 2018. Pearson's Chi-Square test of differences was utilized to assess differences between characteristics of cross-border cases originating from Venezuela and Guyana, and between border and transnational cases. A logistic regression model was used to predict imported status of cases. RESULTS: Cross-border cases from Venezuela and Guyana made up the majority of border and transnational cases since 2012, and Roraima remained the largest receiving state for cross-border cases over this period. There were significant differences in the profiles of border and transnational cases originating from Venezuela and Guyana, including type of movement and nationality of patients. Logistic regression results demonstrated Venezuelan and Guyanese nationals, Brazilian miners, males, and individuals of working age had heightened odds of being an imported case. Furthermore, Venezuelan citizens had heightened odds of seeking care in municipalities adjacent Venezuela, rather than transnational municipalities. CONCLUSIONS: Cross-border malaria contributes to the malaria burden at the Venezuela-Guyana-Brazil border. The identification of distinct profiles of case importation provides evidence on the need to strengthen surveillance at border areas, and to deploy tailored strategies that recognize different mobility routes, such as the movement of refuge-seeking individuals and of Brazilians working in mining.