ABSTRACT Tuberculous mastitis (TM) is a rare cause of breast disease. The test sensitivity for TM is low and sometimes characterized by idiopathic granulomatous mastitis. Both have different treatments; however, many patients are treated with presumptive TM (P-TM). We present fifteen women with confirmed TM or P-TM. We found 4% (5/124) of TM and 8% (10/124) of P-TM, grouped according to their diagnosis, with no differences between them, except for follow-up and treatment time. P-TM is an entity that must be considered based on clinical and radiological suspicion and is associated with presumptive pathological data. (TM disease treatments however PTM. PTM P . (P-TM) TM. 4 5/124 5124 5 124 (5/124 8 10/124 10124 10 (10/124 PTM, TM, diagnosis them followup follow up time data (P-TM 5/12 512 12 (5/12 10/12 1012 1 (10/12 5/1 51 (5/1 10/1 101 (10/1 5/ (5/ 10/ (10/ (5 (10 ( (1

ABSTRACT Background: Malaria is one of the leading causes of morbidity worldwide, and patient adherence to prescribed antimalarials is essential for effective treatment. Methods: This cross-sectional study, with in-depth telephone interviews, analyzed participants’ perceptions of short message service (SMS) in adherence to treatment. Results: Five thematic categories emerged: decreased forgetfulness, the novelty of the tool, easy-to-understand language, the impact of SMS messages during treatment, and suggestions for improvement and complaints. Conclusions: SMS could assist patients in adhering to prescribed antimalarials. Background worldwide treatment Methods crosssectional cross sectional study indepth depth interviews participants (SMS Results emerged forgetfulness tool easytounderstand easy understand language complaints Conclusions

ABSTRACT Background: Women living with human immunodeficiency virus (HIV) (WLWH) are more likely to be infected with the oncogenic human papillomavirus (HPV). We assessed the prevalence of high-risk (HR) (16/18/31/33/35/39/45/51/52/56/58/59/68/73/82), probable high-risk (pHR) (26/53/66), and low-risk (LR) (6/11/40/42/43/44/54/61/70) HPV types and their associated risk factors. Methods: This cross-sectional study of WLWH aged 18-64 years included one laboratory and eight HIV-specialty healthcare facilities in the pilot network. Descriptive statistics were used to assess sociodemographic and behavioral characteristics. Adjusted analyses were conducted to evaluate risk factors associated with HR and/or pHR HPV infection in WLWH. Results: From May/2021 to May/2022, 1,914 (92.5%) WLWH participated in the pilot study and had valid HPV-DNA results of self-collected vaginal samples. The median age of the participants was 45 years, 60.1% had ≥ 9 years of schooling, 80.5% were ≤ 18 years at first sexual intercourse, and 51.7% had > 4 sexual partners throughout life. The prevalence of any HPV type, HR HPV, pHR HPV, and LR HPV was 65.8%, 49.6%, 16.7%, and 40.0%, respectively. Age was inversely associated with pHR and/or HR-HPV (p < 0.001), and education level was inversely associated with HR-HPV (p = 0.003) types. Any HR or pHR was associated with being single (p = 0.029) and exchanging sex for drugs (p = 0.037). Conclusions: The prevalence of HPV, especially HR HPV, among WLWH is high in Brazil, highlighting the need for HPV screening in this population. Self-collection of vaginal samples is an important strategy for increasing testing access. Background HIV (HIV (WLWH HPV. . (HPV) highrisk (HR 16/18/31/33/35/39/45/51/52/56/58/59/68/73/82, 161831333539455152565859687382 16/18/31/33/35/39/45/51/52/56/58/59/68/73/82 , 16 31 33 35 39 51 52 56 58 59 68 73 82 (16/18/31/33/35/39/45/51/52/56/58/59/68/73/82) (pHR 26/53/66, 265366 26/53/66 26 53 66 (26/53/66) lowrisk low (LR 6/11/40/42/43/44/54/61/70 61140424344546170 6 11 40 42 43 44 54 61 70 (6/11/40/42/43/44/54/61/70 Methods crosssectional cross sectional 1864 64 18-6 HIVspecialty specialty network characteristics andor Results May2021 May 2021 May/202 May2022 2022 May/2022 1914 1 914 1,91 92.5% 925 92 5 (92.5% HPVDNA DNA selfcollected self collected 601 60 60.1 schooling 805 80 80.5 intercourse 517 7 51.7 life type 658 65 8 65.8% 496 49 49.6% 167 16.7% 400 0 40.0% respectively HRHPV p 0.001, 0001 0.001 001 0.001) 0.003 0003 003 0.029 0029 029 0.037. 0037 0.037 037 0.037) Conclusions Brazil population Selfcollection Self collection access (HPV 16183133353945515256585968738 16/18/31/33/35/39/45/51/52/56/58/59/68/73/8 3 (16/18/31/33/35/39/45/51/52/56/58/59/68/73/82 26536 26/53/6 2 (26/53/66 6/11/40/42/43/44/54/61/7 6114042434454617 (6/11/40/42/43/44/54/61/7 186 18- May202 202 May/20 191 91 1,9 92.5 (92.5 60. 80. 51. 65.8 49.6 16.7 40.0 000 0.00 00 0.02 002 02 0.03 03 1618313335394551525658596873 16/18/31/33/35/39/45/51/52/56/58/59/68/73/ (16/18/31/33/35/39/45/51/52/56/58/59/68/73/8 2653 26/53/ (26/53/6 6/11/40/42/43/44/54/61/ 611404243445461 (6/11/40/42/43/44/54/61/ May20 20 May/2 19 1, 92. (92. 65. 49. 16. 40. 0.0 161831333539455152565859687 16/18/31/33/35/39/45/51/52/56/58/59/68/73 (16/18/31/33/35/39/45/51/52/56/58/59/68/73/ 265 26/53 (26/53/ 6/11/40/42/43/44/54/61 61140424344546 (6/11/40/42/43/44/54/61 May2 May/ (92 0. 16183133353945515256585968 16/18/31/33/35/39/45/51/52/56/58/59/68/7 (16/18/31/33/35/39/45/51/52/56/58/59/68/73 26/5 (26/53 6/11/40/42/43/44/54/6 6114042434454 (6/11/40/42/43/44/54/6 (9 1618313335394551525658596 16/18/31/33/35/39/45/51/52/56/58/59/68/ (16/18/31/33/35/39/45/51/52/56/58/59/68/7 26/ (26/5 6/11/40/42/43/44/54/ 611404243445 (6/11/40/42/43/44/54/ ( 161831333539455152565859 16/18/31/33/35/39/45/51/52/56/58/59/68 (16/18/31/33/35/39/45/51/52/56/58/59/68/ (26/ 6/11/40/42/43/44/54 61140424344 (6/11/40/42/43/44/54 16183133353945515256585 16/18/31/33/35/39/45/51/52/56/58/59/6 (16/18/31/33/35/39/45/51/52/56/58/59/68 (26 6/11/40/42/43/44/5 6114042434 (6/11/40/42/43/44/5 1618313335394551525658 16/18/31/33/35/39/45/51/52/56/58/59/ (16/18/31/33/35/39/45/51/52/56/58/59/6 (2 6/11/40/42/43/44/ 611404243 (6/11/40/42/43/44/ 161831333539455152565 16/18/31/33/35/39/45/51/52/56/58/59 (16/18/31/33/35/39/45/51/52/56/58/59/ 6/11/40/42/43/44 61140424 (6/11/40/42/43/44 16183133353945515256 16/18/31/33/35/39/45/51/52/56/58/5 (16/18/31/33/35/39/45/51/52/56/58/59 6/11/40/42/43/4 6114042 (6/11/40/42/43/4 1618313335394551525 16/18/31/33/35/39/45/51/52/56/58/ (16/18/31/33/35/39/45/51/52/56/58/5 6/11/40/42/43/ 611404 (6/11/40/42/43/ 161831333539455152 16/18/31/33/35/39/45/51/52/56/58 (16/18/31/33/35/39/45/51/52/56/58/ 6/11/40/42/43 61140 (6/11/40/42/43 16183133353945515 16/18/31/33/35/39/45/51/52/56/5 (16/18/31/33/35/39/45/51/52/56/58 6/11/40/42/4 6114 (6/11/40/42/4 1618313335394551 16/18/31/33/35/39/45/51/52/56/ (16/18/31/33/35/39/45/51/52/56/5 6/11/40/42/ 611 (6/11/40/42/ 161831333539455 16/18/31/33/35/39/45/51/52/56 (16/18/31/33/35/39/45/51/52/56/ 6/11/40/42 (6/11/40/42 16183133353945 16/18/31/33/35/39/45/51/52/5 (16/18/31/33/35/39/45/51/52/56 6/11/40/4 (6/11/40/4 1618313335394 16/18/31/33/35/39/45/51/52/ (16/18/31/33/35/39/45/51/52/5 6/11/40/ (6/11/40/ 161831333539 16/18/31/33/35/39/45/51/52 (16/18/31/33/35/39/45/51/52/ 6/11/40 (6/11/40 16183133353 16/18/31/33/35/39/45/51/5 (16/18/31/33/35/39/45/51/52 6/11/4 (6/11/4 1618313335 16/18/31/33/35/39/45/51/ (16/18/31/33/35/39/45/51/5 6/11/ (6/11/ 161831333 16/18/31/33/35/39/45/51 (16/18/31/33/35/39/45/51/ 6/11 (6/11 16183133 16/18/31/33/35/39/45/5 (16/18/31/33/35/39/45/51 6/1 (6/1 1618313 16/18/31/33/35/39/45/ (16/18/31/33/35/39/45/5 6/ (6/ 161831 16/18/31/33/35/39/45 (16/18/31/33/35/39/45/ (6 16183 16/18/31/33/35/39/4 (16/18/31/33/35/39/45 1618 16/18/31/33/35/39/ (16/18/31/33/35/39/4 161 16/18/31/33/35/39 (16/18/31/33/35/39/ 16/18/31/33/35/3 (16/18/31/33/35/39 16/18/31/33/35/ (16/18/31/33/35/3 16/18/31/33/35 (16/18/31/33/35/ 16/18/31/33/3 (16/18/31/33/35 16/18/31/33/ (16/18/31/33/3 16/18/31/33 (16/18/31/33/ 16/18/31/3 (16/18/31/33 16/18/31/ (16/18/31/3 16/18/31 (16/18/31/ 16/18/3 (16/18/31 16/18/ (16/18/3 16/18 (16/18/ 16/1 (16/18 16/ (16/1 (16/ (16 (1

BACKGROUND Understanding the epidemiology of malaria through the molecular force of the blood-stage infection of Plasmodium vivax (molFOB) may provide a detailed assessment of malaria transmission. OBJECTIVES In this study, we investigated risk factors and spatial-temporal patterns of incidence of Plasmodium infection and clinical malaria episodes in three peri-urban communities of Manaus, Western Brazilian Amazon. METHODS Monthly samples were collected in a cohort of 1,274 individuals between April 2013 and March 2014. DNA samples were subject to Plasmodium species. molFOB was calculated by counting the number of genotypes observed on each visit, which had not been present in the preceding two visits and adjusting these counts by the respective times-at-risk. FINDINGS Respectively, 77.8% and 97.2% of the population remained free of P. vivax and P. falciparum infection. Expected heterozygosity for P. vivax was 0.69 for MSP1_F3 and 0.86 for MS2. Multiplicity of infection in P. vivax was close to the value of 1. The season was associated with P. vivax positivity [adjusted hazard ratio (aHR) 2.6 (1.9-5.7)] and clinical disease [aHR 10.6 (2.4-47.2)]. P. falciparum infection was associated with previous malarial episodes [HR 9.7 (4.5-20.9)]. Subjects who reported possession of a bed net [incidence rate ratio (IRR) 1.6 (1.2-2.2)] or previous malaria episodes [IRR 3.0 (2.0-4.5)] were found to have significantly higher P. vivax molFOB. MAIN CONCLUSIONS Overall, P. vivax infection prevailed in the area and infections were mostly observed as monoclonal. Previous malaria episodes were associated with significantly higher P. vivax molFOB.

The outbreak of new coronavirus disease 2019 (COVID-19) reported for the first time in Wuhan, China in late December 2019 have rapidly spread to other countries and it was declared on January 30, 2020 as a public health emergency of international concern (PHEIC) by the World Health Organization. Before the first COVID-19 cases were reported in Brazil, several measures have been implemented including the adjustment of legal framework to carry out isolation and quarantine. As the cases increased significantly, new measures, mainly to reduce mortality and severe cases, have also been implemented. Rapid and robust preparedness actions have been undertaken in Brazil while first cases have not yet been identified in Latin-American. The outcome of this early preparation should be analyzed in future studies.

Abstract The outbreak of new coronavirus disease 2019 (COVID-19) reported for the first time in Wuhan, China in late December 2019 have rapidly spread to other countries and it was declared on January 30, 2020 as a public health emergency of international concern (PHEIC) by the World Health Organization. Before the first COVID-19 cases were reported in Brazil, several measures have been implemented including the adjustment of legal framework to carry out isolation and quarantine. As the cases increased significantly, new measures, mainly to reduce mortality and severe cases, have also been implemented. Rapid and robust preparedness actions have been undertaken in Brazil while first cases have not yet been identified in Latin-American. The outcome of this early preparation should be analyzed in future studies.

Abstract In Brazil, malaria is an important public health problem first reported in 1560. Historically, fluctuations in malaria cases in Brazil are attributed to waves of economic development; construction of railroads, highways, and hydroelectric dams; and population displacement and land occupation policies. Vector control measures have been widely used with an important role in reducing malaria cases. In this review article, we reviewed the vector control measures established in the Brazilian territory and aspects associated with such measures for malaria. Although some vector control measures are routinely used in Brazil, many entomological and effectiveness information still need better evidence in endemic areas where Plasmodium vivax predominates. Herein, we outlined some of the needs and priorities for future research: a) update of the cartography of malaria vectors in Brazil, adding molecular techniques for the correct identification of species and complexes of species; b) evaluation of vector competence of anophelines in Brazil; c) strengthening of local entomology teams to perform vector control measures and interpret results; d) evaluation of vector control measures, especially use of insecticide-treated nets and long-lasting insecticidal nets, estimating their effectiveness, cost-benefit, and population acceptance; e) establishment of colonies of malaria vectors in Brazil, i.e., Anopheles darlingi, to understand parasite-vector interactions better; f) study of new vector control strategies with impacts on non-endophilic vectors; g) estimation of the impact of insecticide resistance in different geographical areas; and h) identification of the relative contribution of natural and artificial breeding sites in different epidemiological contexts for transmission.

As phagocytosis is the first line of defense against malaria, we developed a phagocytosis assay with Plasmodium vivax (P. vivax) merozoites that can be applied to evaluate vaccine candidates. Briefly, after leukocyte removal with loosely packed cellulose powder in a syringe, P. vivax trophozoites matured to the merozoite-rich schizont stages in the presence of the E64 protease inhibitor. The Percoll gradient-enriched schizonts were chemically disrupted to release merozoites that were submitted to merozoite opsonin-dependent phagocytosis in two phagocytic lines with human and mouse antibodies against the N- and C-terminus of P. vivax Merozoite Surface Protein-1 (Nterm-PvMSP1 and MSP119). The resulting assay is simple and efficient for use as a routine phagocytic assay for the evaluation of merozoite stage vaccine candidates.

Abstract Malaria, a mosquito-borne infectious disease, is considered a significant global health burden. Climate changes or different weather conditions may impact infectious diseases, specifically those transmitted by insect vectors and contaminated water. Based on the current predictions for climate change associated with the increase in carbon dioxide concentrations in the atmosphere and the increase in atmospheric temperature, the Intergovernmental Panel on Climate Change predicts that in 2050, malaria may threaten some previously unexposed areas worldwide and cause a 50% higher probability of malaria cases. Climate-based distribution models of malaria depict an increase in the geographic distribution of the disease as global environmental temperatures and conditions worsen. Researchers have studied the influence of changes in climate on the prevalence of malaria using different mathematical models that consider different variables and predict the conditions for malaria distribution. In this context, we conducted a mini-review to elucidate the important aspects described in the literature on the influence of climate change in the distribution and transmission of malaria. It is important to develop possible risk management strategies and enhance the surveillance system enhanced even in currently malaria-free areas predicted to experience malaria in the future.