State Of Roraima Research Articles

Morphology and architectural analysis of Copaifera pubiflora seedlings (Detarioideae, Leguminosae)

AbstractCopaifera L. is a woody legume genus with 42 species that produce valuable terpenoid oleoresins used in medicine and industrial activities. Copaifera belongs to the Detarieae (Detarioideae) and is part of a clade together with five other genera. We describe the seedling morphology of Copaifera pubiflora Benth. based on plant architectural analysis to shed light on its post‐seminal shoot development. Seeds of this species were collected from a wild population in Roraima State, Brazil. Seedlings of C. pubiflora have preformed shoots with determinate and rhythmic growth. Each growth unit has two reduced leaf scales that correspond to a pair of prophylls followed by two or three scale‐like stipules and one distal eophyll. Besides, C. pubiflora has a monochasial sympodial branching with delayed branches. Current evidence indicates that most Copaifera species, including C. pubiflora, have phanerocotylar, epigeal, reserve seedlings with a cataphyll‐free epicotyl and scale‐like structures on the first internode after the epicotyledonary axis. Based on the available data, a comprehensive view of Copaifera seedlings from both the Old and New Worlds is also presented.

First record of Glyphonycteris daviesi to the state of Roraima in Brazil

El género Glyphonycteris comprende 3 especies que habitan en tierras bajas y montañas boscosas de América Central y del Sur. De las 3 especies que se encuentran en Brasil, Glyphonycteris daviesi se reporta en bosques húmedos pero se sabe poco sobre sus límites de distribución. Partimos de un ejemplar depositado en la Colección de Mamíferos del Departamento de Vertebrados del Museo Nacional, Rio de Janeiro, Brasil. Analizamos las características externas, craneales y dentales que han sido reportadas como diagnósticas en estudios previos y documentamos ocurrencias georreferenciadas de la especie en Brasil. Verificamos que el espécimen se trata de un individuo de G. daviesi. Por lo tanto, presentamos el primer registro de esta especie para el estado de Roraima, aproximadamente a 407 km al noroeste del registro anterior más cercano en Manaus. Este registro pertenece a un macho, dentro de la distribución potencial para la especie según la IUCN. El paisaje del que proviene el registro está compuesto principalmente por campinaranas (ecosistemas amazónicos asociados a suelos pobres y arenosos con inundaciones periódicas), bosques húmedos y llanuras aluviales. Confirmamos que G. daviesi está presente en regiones de bosques húmedos tropicales conservados, corroborando otros reportes, y en tipos de vegetación variados, desde campos hasta áreas boscosas.

Essential fatty acids in farmed tambaqui (Colossoma macropomum) from the Brazilian Amazon Area

The goal of this study was to determine the essential fatty acids of the total lipids of the fillet, head and orbital cavity tissue from farmed tambaqui (Colossoma macropomum) fish from a Brazilian Amazon area. The tambaqui were acquired from different fish farms in the Roraima state, located at Western Brazilian Amazon. The meat, the head and the fatty tissue from orbital cavity were dissected for lipid extraction and analysis of fatty acids by gas chromatography. The fatty acids were quantified in mg g-1 of total lipids using C23:0 as an internal standard. The nutritional quality of the lipids was determined by using the atherogenicity and thrombogenicity indices, and also by the ratio between hypocholesterolemic / hypercholesterolemic fatty acids. The orbital cavity tissue had the higher concentration amount of linoleic and α-linolenic acid, whereas the fillet had higher docosahexaenoic acid (DHA). The eicosapentaenoic acid (EPA) concentration was: 1.28, 0.97, 1.71 mg g-1 of total lipids, in the filet, in head, and in orbital cavity tissue, respectively. All essential fatty acids were detected in the three parts analyzed. The nutritional quality of the total lipids from the head and from the orbital cavity tissue was similar to the fillet.

Health Risk Assessment Attributed to Consumption of Fish Contaminated with Mercury in the Rio Branco Basin, Roraima, Amazon, Brazil.

The aim of this study was to assess the health risk attributable to the consumption of mercury-contaminated fish for the urban and non-urban populations living in the Roraima state, Amazon, Brazil. Seventy-five fish specimens distributed across twenty different species, comprising four trophic levels (i.e., herbivore, omnivore, detritivore, and carnivore), were collected at four locations in the Branco River Basin. The fish samples were sent to the Toxicology Laboratory at Evandro Chagas Institute to determine the total-Hg levels by using the cold vapor atomic system (CVAAS). The total-Hg levels ranged from 0 to 3.159 µg/g. The average concentration in non-carnivorous species (n = 32) was 0.116 µg/g, and among carnivorous fish (n = 43), it was 0.869 µg/g. The weighted average of contamination levels for all samples was 0.545 µg/g. The health risk assessment was conducted according to the methodology proposed by the World Health Organization and different scenarios of human exposure were considered, based on three levels of fish consumption (low: 50 g/day; moderate: 100 g/day and high: 200 g/day). Women of childbearing age ingest 5 to 21 times more mercury than the dose considered safe by the U.S. EPA and intake a dose from 2 to 9 times higher than the safe dose proposed by FAO/WHO. Children under 5 years of age ingest from 18 to 75 times the dose proposed by the U.S. EPA and from 8 to 32 more mercury than the limit proposed by FAO/WHO. In summary, regardless of the level of fish consumption, type of residency (urban or non-urban), and the subset of the population analyzed, anyone who consumes fish from the locations sampled is at high risk attributable to mercury ingestion, with the only exception of adult men, who consume an average of 50 g of fish per day.

Two new species of Oxyethira Eaton 1873 (Trichoptera: Hydroptilidae) from Roraima state, Brazil

Two new species of Oxyethira from Brazil are described: Oxyethira (Dampfitrichia) jiquitaia sp. nov., and Oxyethira (Tanytrichia) librina sp. nov. Illustrations of male genitalia are provided with each description. These results increase the number of Oxyethira species in Brazil from 37 to 39.

Threats and challenges in the control of quarantine pathogens in the state of Roraima Brazil

Plant diseases can negatively impact the production and sale of agricultural crops in a given region. Because it is a border state, Roraima is a potential entry route of quarantine pathogens that can threaten Brazilian agriculture. Constant health surveillance is an essential tool to mitigate the risks of the introduction and spread of important pathogens. In order to avoid or reduce the negative impacts caused by diseases resulting from the introduction or occurrence of a pathogen, a well-structured phytosanitary inspection program and technical guidelines for producers are necessary. The combined efforts of research institutions and state agencies aim to reduce production losses caused by diseases. Thus, the objective of this review is to address the main threats and challenges in controlling quarantine pests in the state of Roraima based on the experience of research and extension institutions in monitoring, pest detection and mitigation strategies. In this respect, contextualizing the events discussed may contribute to guiding plant defense measures, thus mitigating the risks of quarantine pathogen introduction and spread in Roraima.

Canopy palm cover across the Brazilian Amazon forests mapped with airborneLiDARdata and deep learning

AbstractThe Amazon region in Brazil contains c. 5% of the palm species of the world. However, palm cover at macroecological scales has not yet been quantified in this biome. Here, we used high spatial resolution LiDAR data, acquired from 610 flightlines over the Brazilian Amazon, to map canopy palm cover for the first time using a deep learning approach. The image segmentation model from U‐Net deep learning was selected for mapping palm segments using the LiDAR canopy height model (CHM) at 0.5‐m spatial resolution. To train and validate the model, we manually delineated 6971 canopy palm segments over 931.43 ha of forests on four training sites by inspecting their unique star‐shaped crown architecture in the CHM. The results indicated an accuracy of 80% to automatically map canopy palm area. The approach detected >1.1 million palm segments over the 480 000 ha sampled by LiDAR and roughly estimated 1.05 billion palm segments for the Brazilian Amazon. Palm cover was not evenly distributed over the Amazon, revealing undocumented hotspots of high cover (>5%) in eastern Amazon (Pará state), and confirming documented hotspots in southwest (Acre state) and north of the region (Roraima state). Palm segment height was strongly and positively correlated with forest height, where palm segments showed overall lower height. A higher canopy palm cover was observed over shorter forests, while the opposite was found over taller forests, where palms may not be visible from the canopy. Palm segments occurred more frequently at valleys but they were also observed in other landscapes, depending on site location and forest height. Our findings highlight the disproportional occurrence of palm cover in some Amazonian canopies. This fact should be taken into account to improve regional carbon cycle representation and promote initiatives of biodiversity conservation and bioeconomic use of these forests.

Sampling approaches of the Hindustan citrus mite (Schizotetranychus hindustanicus) in Brazilian citrus orchards and climatic factors affecting its population dynamics.

The Hindustan citrus mite, Schizotetranychus hindustanicus (Acari: Tetranychidae), is an invasive pest in South America and constitutes a threat to Brazilian citriculture. This study aimed to determine the contribution of weather variables to the seasonal abundance of S. hindustanicus and the best sampling scheme (sampling variable and unit) for this mite. Populations of S. hindustanicus were monitored monthly in an orange orchard for 31 months in Roraima state, Brazil. Eggs, mobile stages, and the symptoms caused by S. hindustanicus were sampled in different combinations of canopy quadrants, vertical tree strata, and branch sections. The optimal sampling variable and sampling unit for S. hindustanicus scouting were determined according to fidelity and precision criteria. Rainfall and high air temperature were the main factors reducing S. hindustanicus populations. The most suitable variable for S. hindustanicus sampling was egg count. The optimal sampling unit was a leaf collected in the central section of branches located in the middle tree stratum. In addition, the sample should be taken from the southwest quadrant. Collectively, this study adds to the understanding of S. hindustanicus population dynamics and provides a sampling scheme for better management of this pest.

Chikungunya Virus Asian Lineage Infection in the Amazon Region Is Maintained by Asiatic and Caribbean-Introduced Variants.

The simultaneous transmission of two lineages of the chikungunya virus (CHIKV) was discovered after the pathogen’s initial arrival in Brazil. In Oiapoque (Amapá state, north Brazil), the Asian lineage (CHIKV-Asian) was discovered, while in Bahia state, the East-Central-South-African lineage (CHIKV-ECSA) was discovered (northeast Brazil). Since then, the CHIKV-Asian lineage has been restricted to the Amazon region (mostly in the state of Amapá), whereas the ECSA lineage has expanded across the country. Despite the fact that the Asian lineage was already present in the Amazon region, the ECSA lineage brought from the northeast caused a large outbreak in the Amazonian state of Roraima (north Brazil) in 2017. Here, CHIKV spread in the Amazon region was studied by a Zika–Dengue–Chikungunya PCR assay in 824 serum samples collected between 2013 and 2016 from individuals with symptoms of viral infection in the Amapá state. We found 11 samples positive for CHIKV-Asian, and, from these samples, we were able to retrieve 10 full-length viral genomes. A comprehensive phylogenetic study revealed that nine CHIKV sequences came from a local transmission cluster related to Caribbean strains, whereas one sequence was related to sequences from the Philippines. These findings imply that CHIKV spread in different ways in Roraima and Amapá, despite the fact that both states had similar climatic circumstances and mosquito vector frequencies.

Spatial patterns and climate drivers of malaria in three border areas of Brazil, Venezuela and Guyana, 2016–2018

In 2020, 77% of malaria cases in the Americas were concentrated in Venezuela, Brazil, and Colombia. These countries are characterized by a heterogeneous malaria landscape and malaria hotspots. Furthermore, the political unrest in Venezuela has led to significant cross-border population movement. Hence, the aim of this study was to describe spatial patterns and identify significant climatic drivers of malaria transmission along the Venezuela-Brazil-Guyana border, focusing on Bolivar state, Venezuela and Roraima state, Brazil. Malaria case data, stratified by species from 2016 to 2018, were obtained from the Brazilian Malaria Epidemiology Surveillance Information System, the Guyana Vector Borne Diseases Program, the Venezuelan Ministry of Health, and civil society organizations. Spatial autocorrelation in malaria incidence was explored using Getis-Ord (Gi*) statistics. A Poisson regression model was developed with a conditional autoregressive prior structure and posterior parameters were estimated using the Bayesian Markov chain Monte Carlo simulation with Gibbs sampling. There were 685,498 malaria cases during the study period. Plasmodium vivax was the predominant species (71.7%, 490,861). Malaria hotspots were located in eight municipalities along the Venezuela and Guyana international borders with Brazil. Plasmodium falciparum increased by 2.6% (95% credible interval [CrI] 2.1%, 2.8%) for one meter increase in altitude, decreased by 1.6% (95% CrI 1.5%, 2.3%) and 0.9% (95% CrI 0.7%, 2.4%) per 1 cm increase in 6-month lagged precipitation and each 1 °C increase of minimum temperature without lag. Each 1 °C increase of 1-month lagged maximum temperature increased P. falciparum by 0.6% (95% CrI 0.4%, 1.9%). P. vivax cases increased by 1.5% (95% CrI 1.3%, 1.6%) for one meter increase in altitude and decreased by 1.1% (95% CrI 1.0%, 1.2%) and 7.3% (95% CrI 6.7%, 9.7%) for each 1 cm increase of precipitation lagged at 6-months and 1 °C increase in minimum temperature lagged at 6-months. Each 1°C increase of two-month lagged maximum temperature increased P. vivax by 1.5% (95% CrI 0.6%, 7.1%). There was no significant residual spatial clustering after accounting for climatic covariates. Malaria hotspots were located along the Venezuela and Guyana international border with Roraima state, Brazil. In addition to population movement, climatic variables were important drivers of malaria transmission in these areas.

A refração metadiscursiva do adventismo na Amazônia em "Libertos: o preço da vida" (2018)

This analysis seeks to understand the process of expansion of protestantism in the Amazon and its direct relationship with the historical process of exploitation of Latin America by US imperialism. Exercising a strong influence on the “style of life” and on public opinion about certain governments, the different currents of Protestantism exported by the United States accompanied the consolidation of republican positivism in the national construction of Brazil since the end of the 19th century. The Seventh-day Adventist Church (IASD) reached the Amazon through the construction of schools and churches in indigenous communities in the current states of Roraima and Amazonas. In the film under analysis, there is a refraction of the sense of participation in this trajectory of control over “the price of life”, paraphrased in a contemporary context of political legitimization of this control.

Phytosociology and the timber potential of transitional ecosystems from forested campinarana to dense forest in the south of Roraima, Brazil

Transitional forest ecosystems in the south of the state of Roraima show great heterogeneity of tree species and represent different volumes of timber stock in projects of vegetation suppression requiring Deforestation Licences (DL). The aim of this study was to evaluate the phytosociology and standing timber volume in ecosystems of Submontane Dense Ombrophilous Forest (Ds) and transitional Campinarana/Ombrophilous Forest (LOt1 and LOt2) in the district of Rorainópolis, Roraima. The DL were issued and authorised from 2011 to 2016 by the State Foundation for the Environment and Water Resources of Roraima (FEMARH) and the Brazilian Institute of the Environment and Renewable Natural Resources (IBAMA). A total of 9,391 timber-yielding trees were analysed, with a DBH ≥ 45 cm in 646.5 hectares; these belonged to 21 botanical families, 73 species and 8 taxa identified at the genus level. Diversity and evenness were greater in Ds (H’ = 3.34; J = 0.82) compared to LOt (H’ = 1.92 to 2.20; J = 0.55). The floristic similarity was greater between Ds and LOt2, of different forest typologies, showing that transitional environments can be complex in terms of floristic composition and diversity. However, the larger volumes of timber stock in LOt1 and LOt2 compared to Ds may be related not only to natural processes, but also to the influence of deforestation and illegal selective logging in the surrounding area. There is a strong need for studies on transitional forest ecosystems in the Amazon, due to the complexity of the ecological relationships, the influence of environmental gradients, and anthropogenic factors.

Yellow fever vaccination before and during the covid-19 pandemic in Brazil.

ABSTRACTOBJECTIVE To analyze the number of yellow fever vaccine doses administered before and during the covid-19 pandemic in Brazil.METHODS This is an ecological, time series study based on data from the National Immunization Program. Differences between the median number of yellow fever vaccine doses administered in Brazil and in its regions before (from April/2019 to March/2020) and after (from April/2020 to March/2021) the implementation of social distancing measures in the country were assessed via the Mann-Whitney test. Prais-Winsten regression models were used for time series analyses.RESULTS We found a reduction in the median number of yellow fever vaccine doses administered in Brazil and in its regions: North (-34.71%), Midwest (-21.72%), South (-63.50%), and Southeast (-34.42%) (p < 0.05). Series showed stationary behavior in Brazil and in its five regions during the covid-19 pandemic (p > 0.05). Brazilian states also showed stationary trends, except for two states which recorded an increasing trend in the number of administered yellow fever vaccine doses, namely: Alagoas State (before: β = 64, p = 0.081; after: β = 897, p = 0.039), which became a yellow fever vaccine recommendation zone, and Roraima State (before: β = 68, p = 0.724; after: β = 150, p = 0.000), which intensified yellow fever vaccinations due to a yellow fever case confirmation in a Venezuelan State in 2020.CONCLUSION The reduced number of yellow fever vaccine doses administered during the covid-19 pandemic in Brazil may favor the reemergence of urban yellow fever cases in the country.

On the occurrence of Scinax kennedyi (Pyburn, 1973) (Anura, Hylidae) in the state of Roraima, northern Brazil

Scinax comprises 129 species of treefrogs divided between the S. ruber and the S. catharinae clades. The S. rostratus group belongs to the S. ruber clade, and comprises ten species characterized by having a dark interorbital triangular mark, tubercle on the heel and by vocalizing in a head-down position. Within this group, S. kennedyi and S. rostratus are similar in that they are the only species that do not possess a row of tubercles on the lower jaw. In spite of their morphological similarity, they can be distinguished from each other by male size and advertisement call traits. Scinax kennedyi was described from eastern Colombia, and occurs from central Colombia to western Venezuela, whereas S. rostratus was described from northern Venezuela, and is thought to occur from Panama to eastern Venezuela, and in the Brazilian state of Pará. A recent study reported a population identified as S. rostratus from the state of Roraima, in northern Brazil. However, this population presented substantial differences in male size and advertisement call in comparison to the described for this species, and apparently it best fits the diagnosis of S. kennedyi instead. In view of this, the present study aimed to clarify the identity of this Brazilian population through a reassessment of its specimens and call recordings, together with the examination of data of S. kennedyi from its type locality, and of S. rostratus from northern Venezuela. Acoustic and morphological analyses revealed that specimens from northern Brazil were indeed misidentified as S. rostratus, and hence they were herein reassigned to S. kennedyi. The study therefore demonstrates the occurrence of S. kennedyi in Brazil, extending its distribution ca. 1,120 km east by south from its type locality, and ca. 844 km east-southeast from its easternmost previous record. With this reassessment, a clearer acoustic diagnosis between S. kennedyi and S. rostratus was provided, as well as further data on fine-scale temporal traits of their calls.

Multisensor approach to land use and land cover mapping in Brazilian Amazon

Remote sensing has an important role in the Land Use and Land Cover (LULC) mapping process worldwide. Combining spaceborne optical and microwave data is essential for accurate classification in areas with frequent cloud cover, such as tropical regions. In this study, we investigate the possible improvements, when SAR data is incorporated into the classification process along with optical data. We used MSI/Sentinel-2 and SAR/Sentinel-1 to provide LULC mapping in the Roraima State, Brazil, in 2019. This State is located in a tropical area, where the cloud cover is frequent over the year. Cloud cover becomes substantial, especially during the May-August period when crops are grown. Twenty-nine scenarios involving a combination of optical- and SAR-based features, as well as times of data acquisition, were considered in this study. Our results showed that optical or SAR data used individually are not enough to provide accurate LULC mapping. The best results in terms of overall accuracy (OA) were achieved using metrics of multi-temporal surface reflectance and vegetation index (VI) for optical imagery, and values of backscatter coefficient in different polarizations and their ratios yielding an OA of 86.41 ± 1.74%. Analysis of three periods of data (January to April, May to August, and September to December) used for classification allowed us to identify the optimal period for distinguishing specific classes. When comparing our LULC map with a LULC product derived within the MapBiomas project we observed that our method performed better to map annual and perennial crops and water classes. Our methodology provides a more accurate LULC for the Roraima State, and the proposed technique can be applied to benefit other regions that are affected by persistent cloud cover.

A New Species of Synoemis Pascoe, 1863 (Coleoptera, Cucujoidea, Silvanidae): the First Record of the Genus in the New World

A new species of Synoemis Pascoe, 1863 (Silvaninae) is described and illustrated based on one female specimen from Boa Vista, Roraima state, Brazil. Synoemis jandersoni sp. nov. is quite distinctive and can be distinguished from the other species by the lateral margins of the pronotum bearing a deep, V-shaped emargination near each anterior angle, pygidium completely hidden in dorsal view, tibiae short, and postcoxal lines of ventrite 1 broadly rounded. The genus is recorded from the New World for the first time. Comparisons and a key to species of Synoemis are also provided.

Bryophytes from Uei Tepui (Serra Do Sol), with Liverworts New to Brazil and the Description of Leptoscyphus incisus sp. nov.

A collection of bryophytes from Uei tepui in Mount Roraima National Park, Roraima state, northern Brazil, yielded 45 species, in 25 genera and 15 families. Twenty four species are new to state of Roraima, of which seven are new to the Brazilian Amazon domain and six species are new to Brazil: Colura rhynchophora Jovet-Ast, Frullania mirabilis J.B.Jack & Steph., Micropterygium bialatum Fulford, M. tumidulum Fulford, Plagiochila steyermarkii H.Rob. and Syzygiella campanulata Herzog. The liverwort Leptoscyphus incisus Gradst., F.R.Oliveira-da-Silva & Ilk.-Borg., sp. nov. is described as new to science. The new species is characterized by plants autoicous, leaves bifid to trifid and underleaves absent or rudimentary.

Changing transmission dynamics among migrant, indigenous and mining populations in a malaria hotspot in Northern Brazil: 2016 to 2020

BackgroundRoraima state is the northernmost state in Brazil and the primary border-crossing point between Brazil and Venezuela. The uncontrolled surge of malaria in Venezuela, coupled with mass migration of Venezuelans to neighbouring countries and the upward trend in informal mining in the state, pose a serious threat to the broader region, especially to migrant, indigenous and mining populations, jeopardizing malaria elimination efforts. This study describes changes in the epidemiological profile of malaria in Roraima state related to time, place and populations at risk from 2016 to 2020.MethodsDe-identified malaria surveillance data were obtained from the Malaria Epidemiological Surveillance System from 2016 to 2020. Pearson’s chi-square tested differences between imported and autochthonous cases. Multivariable logistic regression was used to identify risk factors for imported versus autochthonous cases by demographic characteristics.ResultsOdds of being an imported case were higher for Plasmodium falciparum cases (AOR = 2.08). However, as the number of cases from Venezuela decreased in 2020 following closure of the border, the proportion of P. falciparum cases increased markedly, from 6.24% in 2019 to 18.50% in 2020. Over the 5-year period, the odds of being an imported case among miners were about nine times higher than the general population (AOR = 8.99). The proportion of total malaria cases that were among indigenous people increased from 33.09% in 2016 to 54.83% in 2020. Indigenous children had a higher burden of malaria with over 40% of cases in children 0 to 9 years old, compared to 8% in non-indigenous children 0 to 9 years old. In some municipalities, place of infection differed from place of notification, with a large proportion of cases in these municipalities reporting in Boa Vista.ConclusionsMalaria remains a serious threat in Roraima state, especially among high-risk populations, such as miners, migrants, and indigenous people. As malaria cases have increased among indigenous people and miners, and the proportion of P. falciparum cases has increased, elimination efforts require understanding of these risk factors to tailor interventions appropriately. Furthermore, cross-border surveillance systems need to be urgently strengthened at formal and unofficial border points, especially since the border with Venezuela reopened in July 2021.

Reaching the malaria elimination goal in Brazil: a spatial analysis and time-series study

BackgroundSince 2015, the Global Technical Strategy (GTS) for Malaria 2016–2030 has been adopted by the World Health Organization (WHO) as a comprehensive framework to accelerate progress for malaria elimination in endemic countries. This strategy sets the target of reducing global malaria incidence and mortality rates by 90% in 2030. Here it is sought to evaluate Brazil’s achievements towards reaching the WHO GTS milestone in 2030. Considering the total number of new malaria cases in 2015, the main research question is: will Brazil reach the malaria elimination goal in 2030?MethodsAnalytical strategies were undertaken using the SIVEP-malaria official databases of the Brazilian Malaria Control Programme for the Brazilian Amazon region from 2009 to 2020. Spatial and time-series analyses were applied for identifying municipalities that support the highest numbers of malaria cases over the years. Forecast analysis was used for predicting the estimated number of new cases in Brazil in 2025–2050.ResultsBrazil has significantly reduced the number of new malaria cases in 2020 in comparison with 2015 in the states of Acre (− 56%), Amapá (− 75%), and Amazonas (− 21%); however, they increased in the states of Pará (156%), Rondônia (74%), and Roraima (362%). Forecast of the predicted number of new malaria cases in 2030 is 74,764 (95% CI: 41,116–141,160) in the Brazilian Amazon.ConclusionsIt is likely that Brazil will reduce the number of new malaria cases in the Brazilian Amazon in 2030 in relation to that in 2015. Herein forecast shows a reduction by 46% (74,754 in 2030 forecast/137,982 in 2015), but this reduction is yet far from the proposed reduction under the WHO GTS 2030 milestone (90%). Stable and unbeatable transmission in the Juruá River Valley, Manaus, and Lábrea still support endemic malaria in the Brazilian Amazon. Today’s cross-border malaria is impacting the state of Roraima unprecedently. If this situation is maintained, the malaria elimination goal (zero cases) may not be reached before 2050. An enhanced political commitment is vital to ensure optimal public health intervention designs in the post-2030 milestones for malaria elimination.Graphical

The structural framework of the north-central Guiana Shield: a fossil fold-and-thrust belt in northeastern Roraima state, Brazil

The structural framework of the north-central Guiana Shield: a fossil fold-and-thrust belt in northeastern Roraima state, Brazil