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1.
Am J Trop Med Hyg ; 108(2): 320-327, 2023 02 01.
Article in English | MEDLINE | ID: mdl-36623487

ABSTRACT

Leprosy is a chronic, neglected tropical infectious disease, currently endemic in Formosa, a province in northwestern Argentina. To analyze the performance, distribution, and effectiveness of the health system in leprosy diagnosis in Formosa, we estimated the trend of the number of new cases of leprosy diagnosed between 2002 and 2019 and estimated a forecast for 2022 at the primary health care centers (PHCCs) of at the first level of care (1stLC), at district hospitals (DHs) of the second level of care (2ndLC), high-complexity hospitals at the third level of care (3rdLC), and in rural and urban areas. The general trend was calculated based on the new cases detection rate (NCDR) using the autoregressive-moving average model (ARMA). The 1stLC, 2ndLC, and 3rdLC and the rural/urban variables were assessed using a proportional Bayesian trend ARMA (TrARMA) model. A predictive model was used for estimated forecasts. Markov-Monte Carlo chains were applied with A Metropolis-Hastings's algorithm. The highest median proportion (Mp) of new cases of leprosy was diagnosed at the 2ndLC (Mp, 0.67; 97.5% credibility interval [CI] [0.56-0.77]), at the 3rdLC (Mp, 0.11; 97.5% CI [0.08-0.15]), and in urban areas (urban median proportion (uMp), 0.86; 97.5% CI [0.83- 0.88]), whereas the lowest proportion of new cases was diagnosed at the 1stLC (Mp, 0.082; 97.5% CI [0.061-0.108]) and in rural areas (rural median proportion (rMp), 0.13; 97.5% CI [0.11-0.16]). Our model predicts for 2022 that a median number of new cases of leprosy of 19.70 will be diagnosed in urban areas (97.5% CI [15.94-23.80]), and will continue to be diagnosed at the 2ndLC (median number of cases, 15.33; 97.5% CI [12.40-10.52]) and 3rdLC (median number of cases, 2.43; 97.5% CI [1.97-2.94]).


Subject(s)
Leprosy , Humans , Argentina/epidemiology , Taiwan , Bayes Theorem , Leprosy/diagnosis , Leprosy/epidemiology , Government Programs
2.
PLoS Negl Trop Dis ; 15(1): e0008881, 2021 01.
Article in English | MEDLINE | ID: mdl-33400698

ABSTRACT

BACKGROUND: The province of Formosa, Argentina, is endemic for leprosy. In the present paper, we assessed the trend (T, 2002-2016 time series) and the forecast for 2022 of new case detection rate (NCDR) and determined the spatial distribution of new cases detected (NCD) of leprosy. METHODOLOGY/PRINCIPAL FINDINGS: This is a descriptive observational study of 713 NCD of leprosy from provincial medical records between January 2002 and December 2016. The whole dataset from the provincial medical record was used to independently estimate the NCDR trends of the general population, age groups, sexes and Departments. This same database was used to estimate the NCDR forecast of the general population for 2022, applying a dynamic linear model with a local linear trend, using the MCMC algorithm. The NCDR was higher in men (p<0.05), increased with age (0.20, 8.17, 21.04, and 29.49 for the 0-14, 15-44, 45-64 and over 65-year-old age groups, respectively; p<0.05) and showed a downward trend (negative values) of estimated slopes for the whole province and each Department. Bermejo Department showed the highest (T:-1.02, 95%CI: [-1.42, -0.66]) and Patiño the lowest decreasing trend (T:-0.45, 95%CI: [-0.74, -0.11]). The NCDR trend for both sexes was similar (T:-0.55, 95%CI: [-0.64, -0.46]), and age groups showed a decreasing trend (S15-44:-103, S45-64:-81, S>65:-61, p<0.05), except for the 0-14 age group (S:-3, p>0.05), which showed no trend. Forecasts predicted that leprosy will not be eliminated by 2022 (3.64, 95%CI: [1.22, 10.25]). CONCLUSIONS/SIGNIFICANCE: Our results highlight the status of leprosy in Formosa and provide information to the provincial public health authorities on high-risk populations, stressing the importance of timely detection of new cases for further elimination of the disease in the province.


Subject(s)
Leprosy/epidemiology , Adolescent , Adult , Aged , Algorithms , Argentina/epidemiology , Child , Child, Preschool , Forecasting , Humans , Incidence , Infant , Infant, Newborn , Linear Models , Male , Middle Aged , Prevalence , Young Adult
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