Spatio-temporal analysis of leprosy risks in a municipality in the state of Mato Grosso-Brazilian Amazon: results from the leprosy post-exposure prophylaxis program in Brazil

Machado, Lúbia Maieles Gomes; Santos, Emerson Soares dos; Cavaliero, Arielle; Steinmann, Peter; Ignotti, Eliane

doi:10.1186/s40249-022-00943-7

Cited by 2 publications

(1 citation statement)

References 49 publications

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“…Some experts indicated that it is a bad sign that the focus has shifted from clinics and the understanding of the disease to stigmatization [ 29 , 30 ]. The previous studies have shown that leprosy is spatially aggregated, and there is a growing body of studies applying GIS to leprosy, particularly in Brazil, India, and China [ 31 , 32 , 33 ]. (#2) Immune mechanisms: Innate immune cells in leprosy are one of the focuses of immune mechanisms [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

A Bibliometric Analysis of Leprosy during 2000–2021 from Web of Science Database

Yang

Zhang

et al. 2022

IJERPH

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In recent years, after the essential elimination of leprosy (the prevalence of which is <1/100,000), the trends, research hotpots, and frontiers of leprosy research are not clear. This study provides a detailed overview of leprosy in terms of papers, journal, language, year, citations, h-index, author keywords, institution, and country through bibliometrics. The results are as follows: (1) The publication rate has increased in recent years, and 8892 papers were obtained. Most of the publications are in English, and the subject categories are mainly focused on “Dermatology.” The “leprosy review” published the most significant number of papers on leprosy, followed by “Plos Neglected Tropical Disease” and “International Journal of Leprosy and Other Mycobacterial Diseases.” (2) Leprosy-related research was contributed to by 24,672 authors, and the ten authors with the most significant number of publications were identified. (3) The University of London (including the London School of Hygiene and Tropical Medicine) has the highest h-index, and Fundacao Oswaldo Cruz is the most productive institution. (4) Brazil, India, the United States, the United Kingdom, and the Netherlands are the most productive countries, and the collaborative network reveals that they have established close cooperation with other countries. France has the highest average number of citations. (5) The keyword co-occurrence network identifies five highly relevant clusters representing topical issues in leprosy research (public health, leprosy vaccine, immune mechanisms, treatment, and genomics research). Overall, these results provide valuable insights for scholars, research institutions, and policymakers to better understand developments in the field of leprosy.

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Section: Discussionmentioning

confidence: 99%

A Bibliometric Analysis of Leprosy during 2000–2021 from Web of Science Database

Yang

Zhang

et al. 2022

IJERPH

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Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

Carvalho,

Dias,

Blok

et al. 2023

Geospat Health

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This ecological study identified an aggregation of urban neighbourhoods spatial patterns in the cumulative new case detection rate (NCDR) of leprosy in the municipality of Rondonópolis, central Brazil, as well as intra-urban socioeconomic differences underlying this distribution. Scan statistics of all leprosy cases reported in the area from 2011 to 2017 were used to investigate spatial and spatiotemporal clusters of the disease at the neighbourhood level. The associations between the log of the smoothed NCDR and demographic, socioeconomic, and structural characteristics were explored by comparing multivariate models based on ordinary least squares (OLS) regression, spatial lag, spatial error, and geographically weighted regression (GWR). Leprosy cases were observed in 84.1% of the neighbourhoods of Rondonópolis, where 848 new cases of leprosy were reported corresponding to a cumulative NCDR of 57.9 cases/100,000 inhabitants. Spatial and spatiotemporal high-risk clusters were identified in western and northern neighbourhoods, whereas central and southern areas comprised low-risk areas. The GWR model was selected as the most appropriate modelling strategy (adjusted R²: 0.305; AIC: 242.85). By mapping the GWR coefficients, we identified that low literacy rate and low mean monthly nominal income per household were associated with a high NCDR of leprosy, especially in the neighbourhoods located within high-risk areas. In conclusion, leprosy presented a heterogeneous and peripheral spatial distribution at the neighbourhood level, which seems to have been shaped by intra-urban differences related to deprivation and poor living conditions. This information should be considered by decision-makers while implementing surveillance measures aimed at leprosy control.

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Spatio-temporal analysis of leprosy risks in a municipality in the state of Mato Grosso-Brazilian Amazon: results from the leprosy post-exposure prophylaxis program in Brazil

Cited by 2 publications

References 49 publications

A Bibliometric Analysis of Leprosy during 2000–2021 from Web of Science Database

A Bibliometric Analysis of Leprosy during 2000–2021 from Web of Science Database

Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

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