scholarly journals Spatial epidemiology of bovine leptospirosis in Veracruz, Mexico

Author(s):  
Rigo Gutiérrez-Molina ◽  
Pelayo Acevedo ◽  
Sokani Sánchez-Montes ◽  
Dora Romero-Salas ◽  
Argel Flores Primo ◽  
...  
Author(s):  
Rigo Gutiérrez-Molina ◽  
Pelayo Acevedo ◽  
Sokani Sánchez-Montes ◽  
Dora Romero-Salas ◽  
Argel Flores Primo ◽  
...  

Bovine leptospirosis is a bacterial disease that affects cattle herds, causing economic losses due to reproductive problems, which require expensive treatments. The main source of transmission for cattle is still uncertain, but it has been described that rodents and bats can play an important role in the transmission cycle by being maintenance hosts for the pathogenic species of the bacterium and spreading it through urine. In this study, we characterize possible risk areas for bovine leptospirosis exposure in the state of Veracruz, Mexico, based on the geographical distribution of flying (bats) and terrestrial (rodents and opossums) wild hosts of Leptospira sp. reported in Mexico in addition with climatic, geographic, soil characteristics, land use and human activities variables (environmental variables). We used a generalized linear regression model (GLM) to understand the association between the frequency of anti- Leptospira sp. antibodies (a proxy of exposure to) in cattle herds exposed to Leptospira, the favorability of wild hosts of Leptospira as well as the environmental variables. The parameterized model explains 12.3% of the variance. The frequency of anti- Leptospira sp. antibodies exposoure in cattle herds was associated with elevation, geographic longitude, pH of the soil surface and environmental favorability for the presence of rodents, opossums, and bats. The variation in exposure is mainly explained by a longitudinal gradient (6.4% of the variance) and the favorability-based indices for wild hosts (9.6 % of the variance). Describing the possible risks for exposure to Leptospira in an important and neglected livestock geographical region, we provide valuable information to the selection of areas for diagnosis and prevention of this relevant disease.


2016 ◽  
Vol 19 ◽  
pp. 100-102 ◽  
Author(s):  
Dawei Zhao ◽  
Zhenghong Deng ◽  
Lianhai Wang
Keyword(s):  

Acta Tropica ◽  
2018 ◽  
Vol 177 ◽  
pp. 51-57 ◽  
Author(s):  
Muhammad Ijaz ◽  
Syed Nazar Abbas ◽  
Shahid Hussain Farooqi ◽  
Amjad Islam Aqib ◽  
Ghulam Ali Anwar ◽  
...  

2011 ◽  
Vol 10 (1) ◽  
pp. 52 ◽  
Author(s):  
Kohei Makita ◽  
Eric M Fèvre ◽  
Charles Waiswa ◽  
Winyi Kaboyo ◽  
Mark C Eisler ◽  
...  
Keyword(s):  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Kazmer ◽  
I Kulhanova ◽  
M Lustigova

Abstract Background In Czechia, alcohol-induced deaths account for a significant portion of preventable mortality. As inequalities in health are both socially and spatially determined, the paper aims at the detailed examination of socio-geographic inequalities of this phenomenon. Methods The 2011-2015 annual data on both ICD-10 cause-specific deaths (K70; F10; X45/64; Y15) and mid-year population were obtained from the official Czech registries - the data were cross-classified by gender, 5-year age-groups, and permanent residence (N = 6,302 small area spatial units). The selected socio-demographic indicators (education, unemployment, religious population) from the Czech 2011 Census were spatially merged to the mortality dataset. From the data on education and unemployment, composite deprivation index (DI) was derived. In the adult population aged 25+, the age-standardised mortality ratios (SMR) were computed for each of the spatial units, separately by genders. The SMRs were spatially modelled by the Besag-York-Mollié (BYM) autoregressive approach, applying a fully bayesian framework integrated within the INLA R-package. The study applied cross-sectional design and employed ecological regression conducted on observational data. Results Compared to the Czech average, the highest SMRs were located in the historical regions of Moravia [SMR=1.15; 95%CI: 1.11-1.19] and Silesia [SMR=1.59; 95%CI: 1.52-1.66]. The SMRs were significantly correlated with DI among males [Rel.Risk=1.15; 95%CI: 1.11-1.19], and with religiousness rate among females [Rel.Risk=0.83; 95%CI: 0.77-0.90]. Conclusions Significant socio-geographic inequalities were detected, particularly with respect to the Czech historical regions. Among males, higher mortality was associated with a structural deprivation. Among females, protective effect of religiousness rate was found to be significant. The results highlight an importance of both socially and spatially integrated efforts for public health promotion. Key messages The inequalities in health are both socially and spatially contextualised. The paper presents robust empirical evidence in favour of the proposition, as examined on alcohol-related mortality data. The health determinants may be gender sensitive. Males might be more responsive to a structural disadvantage. Among females, cultural factors related to a local community might be more relevant.


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