Spatiotemporal pattern of leprosy in southwest China from 2010 to 2020: an ecological study.

BACKGROUND: Despite many efforts to control leprosy worldwide, it is still a significant public health problem in low- and middle-income regions. It has been endemic in China for thousands of years, and southwest China has the highest leprosy burden in the country. METHODS: This observational study was conducted with all newly detected leprosy cases in southwest China from 2010 to 2020. Data were extracted from the Leprosy Management Information System (LEPMIS) database in China. The Joinpoint model was used to determine the time trends in the study area. Spatial autocorrelation statistics was performed to understand spatial distribution of leprosy cases. Spatial scan statistics was applied to identify significant clusters with high rate. RESULTS: A total of 4801 newly detected leprosy cases were reported in southwest China over 11 years. The temporal trends declined stably. The new case detection rate (NCDR) dropped from 4.38/1,000,000 population in 2010 to 1.25/1,000,000 population in 2020, with an average decrease of 12.24% (95% CI: -14.0 to - 10.5; P < 0.001). Results of global spatial autocorrelation showed that leprosy cases presented clustering distribution in the study area. Most likely clusters were identified during the study period and were frequently located at Yunnan or the border areas between Yunnan and Guizhou Provinces. Secondary clusters were always located in the western counties, the border areas between Yunnan and Sichuan Provinces. CONCLUSIONS: Geographic regions characterized by clusters with high rates were considered as leprosy high-risk areas. The findings of this study could be used to design leprosy control measures and provide indications to strengthen the surveillance of high-risk areas. These areas should be prioritized in the allocation of resources.

Temporal trend, high-risk spatial and spatiotemporal clustering of leprosy indicators in Brazil: A 20-year ecological and population-based study.

OBJECTIVES: Leprosy still represents a public health concern in Brazil. The country is the only one in America not to reach the global goal of leprosy disease control. Hence, this study aimed to assess the temporal, spatial and space-time patterns of leprosy cases in Brazil of the 20-year time series 2001-2020. METHODS: An ecological and population-based analysis was carried out, applying temporal and spatial techniques, and using the detection coefficient of sociodemographic and clinical-epidemiological variables of leprosy new cases in the 5570 municipalities of Brazil. Temporal trends were assessed using a segmented linear regression model. For spatial analysis, global and local Moran indexes were applied, and space-time scan statistics was used to identify risk clusters. RESULTS: The mean detection coefficient was 19.36/100,000 inhabitants, with a higher occurrence among men (21.29/100,000 inhabitants) and in the 60-69 age group (36.31/100,000). A decreasing temporal trend was observed in the country (annual percentage change: -5.20% per year). The North and Midwest regions were the most affected, exhibiting municipalities with a high/high standard, and with the highest annual percentage increase of multibacillary (MB) cases. Leprosy has a heterogeneous distribution throughout Brazil, but with high-risk spatiotemporal clusters, mainly located in the North and Midwest regions. CONCLUSION: Although Brazil has shown a decreasing temporal trend during the past 20 years, the country is still classified as highly endemic for leprosy, showing an increase in the proportion of new MB cases over the years.

Less is more: Developing an approach for assessing clustering at the lower administrative boundaries that increases the yield of active screening for leprosy in Bihar, India.

BACKGROUND: In India, leprosy clusters at hamlet level but detailed information is lacking. We aim to identify high-incidence hamlets to be targeted for active screening and post-exposure prophylaxis. METHODOLOGY: We paid home visits to a cohort of leprosy patients registered between April 1st, 2020, and March 31st, 2022. Patients were interviewed and household members were screened for leprosy. We used an open-source app(ODK) to collect data on patients' mobility, screening results of household members, and geographic coordinates of their households. Clustering was analysed with Kulldorff's spatial scan statistic(SaTScan). Outlines of hamlets and population estimates were obtained through an open-source high-resolution population density map(https://data.humdata.org), using kernel density estimation in QGIS, an open-source software. RESULTS: We enrolled 169 patients and screened 1,044 household contacts in Bisfi and Benipatti blocks of Bihar. Median number of years of residing in the village was 17, interquartile range(IQR)12-30. There were 11 new leprosy cases among 658 household contacts examined(167 per 10,000), of which seven had paucibacillary leprosy, one was a child under 14 years, and none had visible disabilities. We identified 739 hamlets with a total population of 802,788(median 163, IQR 65-774). There were five high incidence clusters including 12% of the population and 46%(78/169) of the leprosy cases. One highly significant cluster with a relative risk (RR) of 4.7(p<0.0001) included 32 hamlets and 27 cases in 33,609 population. A second highly significant cluster included 32 hamlets and 24 cases in 33,809 population with a RR of 4.1(p<0.001). The third highly significant cluster included 16 hamlets and 17 cases in 19,659 population with a RR of 4.8(p<0.001). High-risk clusters still need to be screened door-to-door. CONCLUSIONS: We found a high yield of active household contact screening. Our tools for identifying high-incidence hamlets appear effective. Focusing labour-intensive interventions such as door-to-door screening on such hamlets could increase efficiency.

Determining target populations for leprosy prophylactic interventions: a hotspot analysis in Indonesia.

BACKGROUND: Leprosy incidence remained at around 200,000 new cases globally for the last decade. Current strategies to reduce the number of new patients include early detection and providing post-exposure prophylaxis (PEP) to at-risk populations. Because leprosy is distributed unevenly, it is crucial to identify high-risk clusters of leprosy cases for targeting interventions. Geographic Information Systems (GIS) methodology can be used to optimize leprosy control activities by identifying clustering of leprosy cases and determining optimal target populations for PEP. METHODS: The geolocations of leprosy cases registered from 2014 to 2018 in Pasuruan and Pamekasan (Indonesia) were collected and tested for spatial autocorrelation with the Moran's I statistic. We did a hotspot analysis using the Heatmap tool of QGIS to identify clusters of leprosy cases in both areas. Fifteen cluster settings were compared, varying the heatmap radius (i.e., 500 m, 1000 m, 1500 m, 2000 m, or 2500 m) and the density of clustering (low, moderate, and high). For each cluster setting, we calculated the number of cases in clusters, the size of the cluster (km2), and the total population targeted for PEP under various strategies. RESULTS: The distribution of cases was more focused in Pasuruan (Moran's I = 0.44) than in Pamekasan (0.27). The proportion of total cases within identified clusters increased with heatmap radius and ranged from 3% to almost 100% in both areas. The proportion of the population in clusters targeted for PEP decreased with heatmap radius from > 100% to 5% in high and from 88 to 3% in moderate and low density clusters. We have developed an example of a practical guideline to determine optimal cluster settings based on a given PEP strategy, distribution of cases, resources available, and proportion of population targeted for PEP. CONCLUSION: Policy and operational decisions related to leprosy control programs can be guided by a hotspot analysis which aid in identifying high-risk clusters and estimating the number of people targeted for prophylactic interventions.

A social network approach for the study of leprosy transmission beyond the household.

BACKGROUND: Mycobacterium leprae was the first microorganism directly associated with a disease, however, there are still important gaps in our understanding of transmission. Although household contacts are prioritized, there is evidence of the importance of extrahousehold contacts. The goal of this article is to contribute to our understanding of the transmission of leprosy ex-household. METHODS: We compare co-location data of 397 leprosy cases and 211 controls drawn from the Centro de Dermatologia Sanitária D. Libânia in Fortaleza, Brazil. We collected lifetime geolocation data related to residence, school attendance and workplace and developed novel methods to establish a critical distance (Rc) for exposure and evaluated the potential for transmission for residence, school and workplace. RESULTS: Our methods provide different threshold values of distance for residence, school and workplace. Residence networks demonstrate an Rc of about 500 m. Cases cluster in workplaces as well. Schools do not cluster cases. CONCLUSIONS: Our novel network approach offers a promising opportunity to explore leprosy transmission. Our networks confirm the importance of coresidence, provide a boundary and suggest a role for transmission in workplaces. Schools, on the other hand, do not demonstrate a clustering of cases. Our findings may have programmatic relevance.

Evaluation of a self-help intervention to promote the health and wellbeing of marginalised people including those living with leprosy in Nepal: a prospective, observational, cluster-based, cohort study with controls.

BACKGROUND: People affected by leprosy are at increased risk of ulcers from peripheral nerve damage. This in turn can lead to visible impairments, stigmatisation and economic marginalisation. Health care providers suggest that patients should be empowered to self-manage their condition to improve outcomes and reduce reliance on services. Self-care involves carrying out personal care tasks with the aim of preventing disabilities or preventing further deterioration. Self-help, on the other hand, addresses the wider psychological, social and economic implications of leprosy and incorporates, for example, skills training and microfinance schemes. The aim of this study, known as SHERPA (Self-Help Evaluation for lepRosy and other conditions in NePAl) is to evaluate a service intervention called Integrated Mobilization of People for Active Community Transformation (IMPACT) designed to encourage both self-care and self-help in marginalised people including those affected by leprosy. METHODS: A mixed-method evaluation study in Province 5, Nepal comprising two parts. First, a prospective, cluster-based, non-randomised controlled study to evaluate the effectiveness of self-help groups on ulcer metrics (people affected by leprosy only) and on four generic outcome measures (all participants) - generic health status, wellbeing, social integration and household economic performance. Second, a qualitative study to examine the implementation and fidelity of the intervention. IMPACT: This research will provide information on the effectiveness of combined self-help and self-care groups, on quality of life, social integration and economic wellbeing for people living with leprosy, disability or who are socially and economically marginalised in low- and middle- income countries.

Exploring clustering of leprosy in the Comoros and Madagascar: A geospatial analysis.

OBJECTIVES: To identify patterns of spatial clustering of leprosy. DESIGN: We performed a baseline survey for a trial on post-exposure prophylaxis for leprosy in Comoros and Madagascar. We screened 64 villages, door-to-door, and recorded results of screening, demographic data and geographic coordinates. To identify clusters, we fitted a purely spatial Poisson model using Kulldorff's spatial scan statistic. We used a regular Poisson model to assess the risk of contracting leprosy at the individual level as a function of distance to the nearest known leprosy patient. RESULTS: We identified 455 leprosy patients; 200 (44.0%) belonged to 2735 households included in a cluster. Thirty-eight percent of leprosy patients versus 10% of the total population live ≤25 m from another leprosy patient. Risk ratios for being diagnosed with leprosy were 7.3, 2.4, 1.8, 1.4 and 1.7, for those at the same household, at 1-<25 m, 25-<50 m, 50-<75 m and 75-<100 m as/from a leprosy patient, respectively, compared to those living at ≥100 m. CONCLUSIONS: We documented significant clustering of leprosy beyond household level, although 56% of cases were not part of a cluster. Control measures need to be extended beyond the household, and social networks should be further explored.

The role of an active surveillance strategy of targeting household and neighborhood contacts related to leprosy cases released from treatment in a low-endemic area of China.

OBJECTIVE: Early diagnosis remains the primary goal for leprosy management programs. This study aims to determine whether active surveillance of patients with leprosy and their contact individuals increased identification of latent leprosy cases in the low-endemic areas. METHODS: This cross-sectional survey was carried out between October 2014 and August 2016 in 21 counties throughout Shandong Province. The survey was conducted among patients with leprosy released from treatment (RFT) and their contacts from both household and neighbors. RESULTS: A total of 2,210 RFT patients and 9,742 contacts comprising 7877 household contacts (HHCs), including 5,844 genetic related family members (GRFMs) and 2033 non-genetic related family members and 1,865 contacts living in neighboring houses (neighbor contacts, NCs), were recruited. Among identified individuals, one relapsed and 13 were newly diagnosed, giving a detection rate of 0.12%, corresponding to 120 times the passive case detection rate. Detection rates were similar for HHCs and NCs (0.114% vs. 0.214%, P = 0.287). Analysis of the family history of leprosy patients revealed clustering of newly diagnosed cases and association with residential coordinates of previously-diagnosed multibacillary leprosy cases. CONCLUSION: Active case-finding programs are feasible and contributes to early case detection by tracking HHCs and NCs in low-endemic areas.

Genotyping of Mycobacterium leprae for understanding the distribution and transmission of leprosy in endemic provinces of China.

OBJECTIVES: Understanding the nature of Mycobacterium leprae transmission is vital to implement better control strategies for leprosy elimination. The present study expands the knowledge of county-level strain diversity, distribution, and transmission patterns of leprosy in endemic provinces of China. METHODS: We genetically characterized 290 clinical isolates of M. leprae from four endemic provinces using variable number tandem repeats (VNTR) and single nucleotide polymorphisms (SNPs). Attained genetic profiles and cluster consequences were contrasted with geographical and migration features of leprosy at county levels. RESULTS: Considering the allelic variability of 17 VNTR loci by the discriminatory index, (GTA)9, (AT)17, (AT)15, (TA)18, (TTC)21, and (TA)10 are reported to be more highly polymorphic than other loci. The VNTR profile generated the low-density clustering pattern in the counties of Sichuan and Yunnan, whereas clusters have been observed from the isolates from Huayuan (N = 6), Yongding (N = 3), Zixing (N = 3), Chenxi (N = 2) and Zhongfang (N = 2) counties of Hunan, and Zhijin (N = 3), Anlong (N = 2), Zhenning (N = 2), and Xixiu (N = 2) counties of Guizhou. In some clusters, people's social relations have been observed between villages. From the 290 clinical isolates, the most predominantly reported SNP was 3K (278, 95.8%), followed by SNP 1D (10, 3.4%), which are typically observed to be predominant in China. We also detected the novel SNP 3J (2, 0.8%), which has not yet been reported in China. CONCLUSION: The clustering pattern of M. leprae indicates the transmission of leprosy still persists at county levels, suggesting that there is a need to implement better approaches for tracing the close contacts of leprosy patients.

Clustering of leprosy beyond the household level in a highly endemic setting on the Comoros, an observational study.

BACKGROUND: The island of Anjouan (Comoros) is highly endemic for leprosy with an annual incidence of 5-10/10,000. In May/June, 2015 single-dose Rifampicin post-exposure prophylaxis (SDR-PEP) was administered to 269 close contacts of 70 leprosy-patients in four villages as a pilot programmatic intervention. Two years later we revisited the villages for follow-up investigations. The main aim of our study was to quantify spatial associations between reported leprosy cases before and after PEP implementation. A secondary aim was to assess the effect of this single round of SDR-PEP at the individual level. METHODS: We conducted door-to-door leprosy screening in all four villages in August/September, 2017. We screened all consenting individuals for leprosy and recorded geographic coordinates of their household. We also recorded whether they had received SDR-PEP and whether they had been diagnosed with leprosy, before or after the 2015 intervention. We fitted a Poisson model with leprosy as outcome and distance to the nearest pre-intervention case and SDR-PEP as predictors. RESULTS: During the survey we found 114 new cases among 5760 contacts screened (2.0% prevalence), in addition to the 39 cases detected in the two preceding years. We found statistically significant associations of incident leprosy with physical distance to index cases ranging from 2.4 (95% confidence interval (95% CI) 1.5-3.6) for household contacts to 1.8 (95% CI 1.3-2.5) for those living at 1-25 m, compared to individuals living at ≥75 m. The effect of SDR-PEP appeared protective but did not reach statistical significance due to the low numbers, with an incidence rate ratio (IRR) of 0.6 (95% CI 0.3-1.2) overall, and 0.5 (95% CI 0.2-1.3) when considering only household contacts. CONCLUSIONS: This pilot demonstrated an increased risk of leprosy in contacts beyond the household, therefore a wider circle should be considered for chemoprophylaxis. Baseline surveys and extended contact definitions are essential for improving SDR-PEP effectiveness.

Leprosy transmission in Bahia, 2001-2015: modeling based on Jointpoint regression and spatial scan statistics. / Transmissão da hanseníase na Bahia, 2001-2015: modelagem a partir de regressão por pontos de inflexão e estatística de varredura espacial.

OBJECTIVE: to describe the trend and the spatial distribution of leprosy in the state of Bahia, Brazil, 2001-2015. METHODS: this was a mixed ecological study of epidemiological indicators of leprosy; Jointpoint regression was used for the temporal analysis, while spatial scan statistics were used to identify clusters of the disease; the trend was classified as stationary, increasing or decreasing; we calculated the annual percent change (APC) and average annual percent change (AAPC). RESULTS: there was a reduction in prevalence (AAPC = -5.6; p<0,001), treatment dropout (AAPC = -13.7; p<0.001), and females with leprosy (AAPC = -0.6; p<0.001); the new grade II case coefficient (AAPC = 2.7; p<0.001) and the proportion of multibacillary cases (AAPC = 2,2; p<0.001) showed a growing trend; spatial distribution was heterogeneous and concentrated in three regions in particular (north, west and south of the state), with variation between the indicators. CONCLUSION: persisting leprosy transmission in the state, late diagnosis and high hidden prevalence is suggested.

Spatial epidemiology of tuberculosis in the high-burden counties of Kisumu and Siaya, Western Kenya, 2012-2015.

BACKGROUND: Effective management of tuberculosis (TB) and reduction of TB incidence relies on knowledge of where, when and to what degree the disease is present. METHODS: In a retrospective cross-sectional study, we analysed the spatial distribution of notified TB incidence from 1 January 2012 and 31 December 2015 in Siaya and Kisumu Counties, Western Kenya. TB data were obtained from the Division of Leprosy, Tuberculosis and Lung Disease, Nairobi, Kenya, as part of an approved TB case detection study. Cases were linked to their corresponding geographic location using physical address identifiers. Spatial analysis techniques were used to examine the spatial and temporal patterns of TB. Assessment of spatial clustering was carried out following Moran's I method of spatial autocorrelation and the Getis-Ord Gi* statistic. RESULTS: The notified TB incidence varied from 638.0 to 121.4 per 100 000 at the small area level. Spatial analysis identified 16 distinct geographic regions with high TB incidence clustering (GiZScore 2.58, P < 0.01). There was a positive correlation between population density and TB incidence that was statistically significant (rs = 0.5739, P = 0.0001). CONCLUSION: The present study presents an opportunity for targeted interventions in the identified subepidemics to supplement measures aimed at the general population.

Intervention Packages for Early Visceral Leishmaniasis Case Detection and Sandfly Control in Bangladesh: A Comparative Analysis.

We compared the efficacy of three intervention packages for active case detection (ACD) of visceral leishmaniasis (VL)/post-kala-azar dermal leishmaniasis (PKDL) combined with sandfly control around an index case. The packages were 1) no kala-azar transmission activity involving indoor residual spraying (IRS) with deltamethrin, peri-domestic deployment of larvicide with temephos, and house-to-house search for cases; 2) fever camp (FC) plus durable wall lining (DWL) with deltamethrin; and 3) FC plus insecticide (deltamethrin) impregnated bed-nets (ITN) around an index case. Fever camp includes 1-day campaign at the village level to screen and diagnose VL, PKDL, leprosy, malaria, and tuberculosis among residents with chronic fever or skin disease. Efficacy was measured through yield of new cases, vector density reduction, and mortality at 1, 3, 6, 9, and 12 months following intervention. Fever camp + DWL was the most efficacious intervention package with 0.5 case detected per intervention, 79% reduction in vector density (incidence rate ratio [IRR] = 0.21, P = 0.010), and 95.1% (95% confidence interval: 93.4%, 96.8%) sandfly mortality at 12 months. No kala-azar transmission activity was efficacious for vector control (74% vector reduction, IRR = 0.26, P < 0.0001 at 9 months; and 84% sandfly mortality at 3 months), but not for case detection (0 case per intervention). Fever camp + ITN was efficacious in detection of VL/PKDL cases (0.43 case per intervention), but its efficacy for vector control was inconsistent. We recommend index case-based FC for ACD combined with DWL or IRS plus larvicide for sandfly control during the consolidation and maintenance phases of the VL elimination program of the Indian subcontinent.

Microbiology of high-sugar must fermentation by novel yeasts from the chihuahuan desert.

This work reports important results of aromatic profiles produced by native yeasts isolated from desert-grown wine grapes from the south of Chihuahua, México. These grapes stand very high temperatures during the ripening season, developing high sugar concentration and high pH. Yeast species found in grapes were identified by polymerase chain reaction and sequence analysis of the 5.8S internal transcribed spacer ribosomal RNA region. Aureobasidium namibiae, Sporobolomyces johnsonii, Candida apicola, Hanseniaspora uvarum, Candida thaimueangensis, Hanseniaspora opuntiae were identified. All of them can grow at glucose concentration of 35% (w/v) and 100 ppm of SO2, and produce low volatile acidity (0.2-1.0 g acetic acid/L). Volatile organic compounds analysis showed that C. thaimueangensis and one strain of C. apicola produce high levels of esters, and Hanseniaspora species produces high levels of higher alcohols and carbonyl compounds. The results of this study contribute to the knowledge about yeast communities associated with desert-grown winegrape yeasts.

Descentralização das ações de controle da hanseníase nos clusters de risco do Brasil / Decentralization of leprosy control actions in risk clusters in Brazil

O presente estudo teve como objetivo analisar a situação epidemiológica e operacional da hanseníase e sua relação com a descentralização das ações de controle em clusters de risco no Brasil. Trata-se de um estudo ecológico, segundo dados dos municípios brasileiros. A proporção de casos novos de hanseníase diagnosticados na Atenção Primária à Saúde (APS) e a proporção da cobertura populacional estimada pela Estratégia Saúde da Família (ESF) foram definidas como variáveis independentes. O total de cinco indicadores de hanseníase foram selecionados para compor o grupo das variáveis dependentes. Os dados foram retirados do Sistema de Informação de Agravos de Notificação (Sinan), do Departamento de Atenção Básica da Secretaria de Atenção à Saúde (DAB/SAS) e do Cadastro Nacional de Estabelecimentos de Saúde (CNES). A estatística scan foi usada para identificar a existência de aglomerados espaçotemporais a partir da taxa de detecção de casos novos de hanseníase no período de estudo (2001 a 2015). Para verificar o comportamento dos indicadores de hanseníase no tempo e espaço, assim como para verificar a sua relação com as variáveis independentes, foi ajustado um modelo Binomial Negativo de efeito misto com efeito aleatório no intercepto e na inclinação. A estatística scan detectou quinze clusters, onde a taxa de detecção foi de 62,45 casos por 100 mil habitantes, enquanto no restante do país foi de 13,77. Grande parte da área de clusters está situada na Amazônia Legal e com início de formação a partir dos anos de 2001 a 2004. Os valores médios e a tendência dos indicadores de hanseníase mostraram comportamentos heterogêneos. Do total de cluster, cinco apresentaram valores acima da média para a taxa de detecção na população total, seis para a taxa de detecção na população de zero a catorze anos e quatro para a taxa de grau 2 de incapacidade física no momento do diagnóstico. Destacam-se os clusters localizados em Mato Grosso do Sul (C8 e C14), cujo comportamento temporal dos indicadores epidemiológicos refletem a manutenção da cadeia de transmissão da hanseníase. Em relação aos indicadores operacionais, quatro clusters apresentaram valores abaixo da média para a proporção de contatos examinados, mas com tendência crescente para todos os cluster identificados. Já em relação à proporção de cura entre os casos novos diagnosticados, também quatro cluster tiveram valores abaixo da média. No entanto, somente um apresentou tendência crescente, pois nos demais o comportamento foi estacionário. Quanto à descentralização das ações de controle de hanseníase, os resultados mostram que a cobertura da ESF foi estatisticamente significativa para a mudança do comportamento da taxa de detecção de casos novos de hanseníase na população de zero a catorze anos e da proporção de cura, sendo observado redução na primeira e aumento na segunda. Já a proporção de casos novos de hanseníase diagnosticados na APS contribuiu para o aumento significativo das taxas de detecção de casos novos de hanseníase na população total, na população de zero a catorze anos, de grau 2 de incapacidade física no momento do diagnóstico e na proporção de contatos examinados. Conclui-se a importância de intensificar as atividades de controle nos cluster de risco, dada a manutenção de elevadas taxas de detecção, bem como pela presença de municípios silenciosos nessas áreas. A interpretação simultânea dos principais indicadores epidemiológicos e operacionais de hanseníase reforça a gravidade da situação. A cobertura da ESF deve ser vista como medida importante, porém não única para o controle da doença. O desafio que se apresenta, após ampla expansão, é a oferta das ações.

This study aimed to analyze the epidemiological and operational situation of leprosy and its relationship with the decentralization of control actions in risk clusters in Brazil. This is an ecological study, according to data from Brazilian municipalities. The proportion of new leprosy cases diagnosed in Primary Health Care (PHC) and the proportion of individuals coverage estimated by the Family Health Strategy (FHS) were defined as independent variables. A total of five leprosy indicators were selected to compose the group of dependent variables. The data were taken from the Information System for Notifiable Disease (Sinan), the Department of Primary Care, Secretariat of Health Care (DAB/SAS) and the National Registry of Health Facilities (CNES). Scan statistic was used to identify the existence of spatiotemporal clusters from the detection rate of new leprosy cases in the study period (2001 to 2015). To verify the behavior of leprosy indicators in time and space, as well as to verify their relationship with the independent variables, a negative binomial model of mixed effect with random effect on the intercept and slope was adjusted. The scan statistic detected fifteen clusters in which the detection rate was 62.45 cases per 100 thousand inhabitants, whereas in the rest of the country it was 13.77. Much of the cluster area is located in Brazil's Legal Amazon and began to be formed from 2001 to 2004. Among the municipalities that formed the risk cluster, four presented the average leprosy rate of zero, they are: Serra Grande-PB, Bela Vista do Piauí-PI, Charity Piauí-PI and Felipe Guerra-RN. The analysis of geographic and temporal variations of clusters according to the main indicators proposed by the National Leprosy Control Program (PNCH) show heterogeneous behaviors. Although the trend of detection rate in the total population has declined in most clusters, the steady and still high trend among children under the age of fifteen and grade 2 at the time of diagnosis indicates recent and high magnitude transmission. Regarding operational indicators, the data found indicate that health services are not guaranteeing the coverage of contact examination, nor are they adequately following the therapeutic protocol. Regarding the decentralization of leprosy control actions, the results show that the FHS coverage was statistically significant for the change in the behavior of the detection rate of new leprosy cases in the population from zero to fourteen years and in the cure rate. reduction in the first and increase in the second. The proportion of new leprosy cases diagnosed in PHC contributed to the significant increase in the detection rates of new leprosy cases in the total population, in the population from zero to fourteen years old, of grade 2 physical disability at the time of diagnosis and in the proportion of contacts examined. It is concluded that the maintenance of high detection rates for years, as well as the presence of silent municipalities in these areas suggest failures of health services. Although the availability of the FHS has shown positive results, it is still considered insufficient for disease control. The condition identified as essential to reach the Ministry of Health's parameters is the increase in the supply of health services.

Epidemiological and geographical characterization of leprosy in a Brazilian hyperendemic municipality.

This study aimed to identify the distribution pattern of leprosy in a hyperendemic municipality in Brazil and determine its relationship with the clinico-epidemiological situation over 11 years. The geographic information system, MapInfo, spatial scan statistics and the Moran I index were used to analyze new cases. The digital cartographic base was used to map clusters of new paucibacillary and multibacillary cases and cases in minors under 15 years old. Socioeconomic indicators are shown using the choropleth mapping technique. A reduction in the detection coefficient, increases in high-risk spatial clusters, marked changes in the distribution of high-risk and low-risk clusters, and high-risk clusters of minors under 15 years old were observed from 2006 to 2010, showing recent illness, the presence of active foci, and overlapping of high-risk clusters of multibacillary infection in minors under 15 years old. Leprosy remains a public health problem in Rondonópolis, Mato Grosso State; the high-risk areas require an intensification of control measures and active search strategies to detect new cases.

Candida species in tchapalo and bangui, two traditional alcoholic beverages from Côte d'Ivoire.

The increase of infections due to non-Candida albicans species made it very necessary to conduct adequate characterization to be able to identify the species of Candida isolated from traditional fermented foods. In this study, based on their hue on Candida Chromogenic Agar medium, a total of 136 yeast strains were isolated from tchapalo and bangui. Molecular identification based on PCR-RFLP of internal transcribed spacers of rDNA (ITS) and sequencing of the ITS and the D1/D2 regions allowed us to assign these isolates to seven species: Candida tropicalis, Candida inconspicua, Candida rugosa, Saccharomyces cerevisiae, Kluyveromyces marxianus, Hanseniaspora guilliermondii, Trichosporon asahii. With the respect to each beverage, six species were found among with four species are regarded as opportunistic pathogens. From these, C. tropicalis, C. inconspicua and K. marxianus were the most commonly encountered. The enzyme activities of the potential pathogens assessed using API ZYM system showed that almost strains had esterase, esterase lipase, valine and cystine arylamidase, alpha chymotrypsin, alkaline phosphatase and naphthol phosphohydrolase activities. The activity of α-glucosidase was found only in C. tropicalis and C. inconspicua strains isolated from tchapalo while ß-glucosidase activity was found in all strains from tchapalo and only in C. inconspicua isolated from bangui.

Genotyping comparison of Mycobacterium leprae isolates by VNTR analysis from nasal samples in a Brazilian endemic region.

This study analyzed the genetic diversity by MIRU-VNTR of Mycobacterium leprae isolates from nasal cavities and related to epidemiological and clinical data. The sample consisted of 48 newly diagnosed leprosy cases that tested positive for M. leprae PCR in nasal secretion (NS) attending to the National Reference Center of Dermatology Dona Libania (CDERM), Fortaleza, Brazil. Total DNA was extracted from NS of each patient and used for amplification of four M. leprae VNTR loci. Four clusters of M. leprae isolates were formed with identical genotypes. In the spatial analysis, 12 leprosy cases presented similar genotypes organized into 4 clusters. The most common genotypes in the current study was AC8b: 8, AC9: 7, AC8a: 8, GTA9: 10, which may represent a genotype of circulating strains most often in Ceará. A minimum set of four MIRU-VNTR loci was demonstrated to study the genetic diversity of M. leprae isolates from NS.

Factors associated with the delay of diagnosis of leprosy in north-eastern Colombia: a quantitative analysis.

OBJECTIVES: To determine the average time in months between the beginning of symptoms and the diagnostic confirmation of leprosy by the health system and to investigate factors associated with diagnostic delay. METHODS: A total of 249 patients older than 15 years diagnosed with leprosy between 2011 and 2015, in 20 endemic municipalities of north-eastern Colombia, provided informed consent and were interviewed face-to-face. Clinical histories from health centres or hospitals where study participants were treated for leprosy were also reviewed. RESULTS: The mean delay in diagnosis of leprosy was 33.5 months. About 14.9% of patients showed a visible deformity or damage (disability grade 2, DG2) at the time of diagnosis. In multivariable regression analysis, five or more consultancies required to confirm the diagnosis and not seeking care immediately after noticing first symptoms were associated with longer diagnostic delay. CONCLUSIONS: Our study found a significant delay in diagnosis of leprosy in north-eastern Colombia, which might explain the continuously high rate of DG2 among new cases being notified in the country. Both patient- and health system-related factors were associated with longer diagnostic delay. Interventions to increase awareness of disease among the general population and timely referral to a specialised health professional are urgently needed in our study setting.

Diversity and Characteristics of the Meat Microbiological Community on Dry Aged Beef.

Beef was dry aged for 40-60 days under controlled environmental conditions in a refrigerated room with a relative humidity of 75%-80% and air-flow. To date, there is little information on the microbial diversity and characteristics of dry aged beef. In this study, we explored the effect of change in meat microorganisms on dry aged beef. Initially, the total bacteria and LAB were significantly increased for 50 days during all dry aging periods. There was an absence of representative foodborne pathogens as well as coliforms. Interestingly, fungi including yeast and mold that possess specific features were observed during the dry aging period. The 5.8S rRNA sequencing results showed that potentially harmful yeasts/molds (Candida sp., Cladosporium sp., Rhodotorula sp.) were present at the initial point of dry aging and they disappeared with increasing dry aging time. Interestingly, Penicillium camemberti and Debaryomyces hansenii used for cheese manufacturing were observed with an increase in the dry aging period. Taken together, our results showed that the change in microorganisms exerts an influence on the quality and safety of dry aged beef, and our study identified that fungi may play an important role in the palatability and flavor development of dry aged beef.