Geographical and Occupational Aspects of Leptospirosis in the Coffee-Triangle Region of Colombia, 2007-2011

García-Ramírez, Laura; Giraldo-Pulgarin, Jasmin Y.; Agudelo-Marín, Nelly; Holguin-Rivera, Yeimer; Gómez-Sierra, Sebastián; Ortiz-Revelo, Paola Vanessa; Velasquez-Bonilla, Nestor J.; Caraballo-Arias, Yohama; Mondragón-Cardona, Álvaro; Lozada-Riascos, Carlos O.; Rodríguez‐Morales, Alfonso J.

doi:10.2174/1574891x10666150410130425

Cited by 14 publications

(10 citation statements)

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“…Most spatial studies (96.55%, n = 56/58) produced human infection maps and most (73.21%, n = 41/56) utilized data obtained from the national disease surveillance notification systems. Maps were produced to depict incidence or prevalence in certain administrative areas (48.21%, n = 27/56) (Schneider et al, ), national ( n = 11) (Gonwong et al, ; Jansen et al, ; Lau, Clements, et al, ; Massenet, Yvon, Couteaux, & Goarant, ; Robertson et al, ; Rood et al, ; Schneider et al, ; Shi, Tu, & Li, ; Stevens, Carter, Kiep, Stevenson, & Schneeweiss, ; van Alphen et al, ; Zhao et al, ) or sub‐national scales ( n = 15) (Barcellos, Lammerhirt, de Almeida, & dos Santos, ; Barcellos & Sabroza, ; Chaiblich, Lima, Oliveira, Monken, & Penna, ; Garcia‐Ramirez et al, ; Gracie et al, ; Herbreteau et al, ; Ko, Reis, et al, ; Lau, Skelly, Dohnt, & Smythe, ; Mišić‐Majerus, ; Mohammadinia, Alimohammadi, & Saeidian, ; Mohd Radi et al, ; Myint et al, ; Schneider et al, ; Soares et al, ; Vega‐Corredor & Opadeyi, ). Twelve studies used Kernel density estimation technique (Chaiblich et al, ; Cook et al, ; de Melo et al, ; Deshmukh et al, ; Filho et al, ; Lau, Dobson, et al, .…”

Section: Resultsmentioning

confidence: 99%

“…No serogroup or serovar distribution maps at regional and global scale were reported. Spatial and temporal maps were created (21.42%, n = 12/56) (Baquero & Machado, ; Garcia‐Ramirez et al, ; Gracie et al, ; Hagan et al, ; Lau et al, ; Robertson et al, ; Soares et al, ; Sulistyawati, Nirmalawati, & Mardenta, ; Suwanpakdee et al, ; Tassinari et al, ; van Alphen et al, ) to illustrate changes in distribution (Della Rossa et al, ; Gracie et al, ; Lau et al, ; Schneider et al, ; Soares et al, ; Sulistyawati et al, ; Suwanpakdee et al, ; Tassinari et al, ) or disease rates/risks (Baquero & Machado, ; Garcia‐Ramirez et al, ; Hagan et al, ; Robertson et al, ; Suwanpakdee et al, ; van Alphen et al, ) or burden in terms of disability‐adjusted life‐years (DALYs) (Dhewantara et al, ). One set of subnational spatial and temporal maps describing changes in serovar‐specific cases was produced at state level in Australia (Lau et al, ).…”

Section: Resultsmentioning

confidence: 99%

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Spatial epidemiological approaches to inform leptospirosis surveillance and control: A systematic review and critical appraisal of methods

Dhewantara

Lau

Allan

et al. 2018

Zoonoses and Public Health

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Leptospirosis is a global zoonotic disease that the transmission is driven by complex geographical and temporal variation in demographics, animal hosts and socioecological factors. This results in complex challenges for the identification of high‐risk areas. Spatial and temporal epidemiological tools could be used to support leptospirosis control programs, but the adequacy of its application has not been evaluated. We searched literature in six databases including PubMed, Web of Science, EMBASE, Scopus, SciELO and Zoological Record to systematically review and critically assess the use of spatial and temporal analytical tools for leptospirosis and to provide general framework for its application in future studies. We reviewed 115 articles published between 1930 and October 2018 from 41 different countries. Of these, 65 (56.52%) articles were on human leptospirosis, 39 (33.91%) on animal leptospirosis and 11 (9.5%) used data from both human and animal leptospirosis. Spatial analytical (n = 106) tools were used to describe the distribution of incidence/prevalence at various geographical scales (96.5%) and to explored spatial patterns to detect clustering and hot spots (33%). A total of 51 studies modelled the relationships of various variables on the risk of human (n = 31), animal (n = 17) and both human and animal infection (n = 3). Among those modelling studies, few studies had generated spatially structured models and predictive maps of human (n = 2/31) and animal leptospirosis (n = 1/17). In addition, nine studies applied time‐series analytical tools to predict leptospirosis incidence. Spatial and temporal analytical tools have been greatly utilized to improve our understanding on leptospirosis epidemiology. Yet the quality of the epidemiological data, the selection of covariates and spatial analytical techniques should be carefully considered in future studies to improve usefulness of evidence as tools to support leptospirosis control. A general framework for the application of spatial analytical tools for leptospirosis was proposed.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Spatial epidemiological approaches to inform leptospirosis surveillance and control: A systematic review and critical appraisal of methods

Dhewantara

Lau

Allan

et al. 2018

Zoonoses and Public Health

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“…This study has confirmed that the occurrence of leptospirosis is mainly distributed in middle age group (30 ≤ age < 75). Occupational exposure is a significant risk factor in many countries and is particularly associated with agriculture and animal workers (Garcãa‐Ramãrez et al, ). In the present study, most leptospirosis cases typically occurred among farmers, students, rural labourers and the unemployed people.…”

Section: Discussionmentioning

confidence: 99%

Leptospirosis trends in China, 2007–2018: A retrospective observational study

Zhang

Zhu

et al. 2019

Transbound Emerg Dis

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Leptospirosis is one of the most common and neglected tropical waterborne diseases in China, causing serious economic losses, and constituting a significant public health threat. Leptospirosis has recently received increased attention and is considered a reemerging infectious disease in many countries. The incidence of leptospirosis among people suggests that occupation, age, season, sex and water recreational activities are significant risk factors. The aim of this study was to describe the epidemiological profiles of leptospirosis in China during the 2007-2018 period. The morbidity data of leptospirosis by age, season (month), gender, occupation and geographic location (different provinces) were obtained from the public health science data centre of China for subsequent epidemiological analysis. The results indicate that the incidence of leptospirosis has shown a slow downward trend from 2007 to 2018, but morbidity rates were still relatively high (0.0660-0.0113). The incidence of leptospirosis varied in different provinces of China; cases localized mainly to the Southern and Central provinces, areas with warm weather and ample rainfall. Older people (aged 60-75), males, farmers, students and field workers were high-risk populations. During the 2007-2018 observation period, morbidity rates increased beginning in May, remained at high levels in August and September and decreased after November. The present investigation highlights the re-emergence of leptospirosis in some provinces of China (especially in Yunnan and Fujian) and shows that leptospirosis remains a serious public health threat. The results of this study should enhance measures taken for the prevention, control, and surveillance of leptospirosis in China.

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“…The distribution of leptospirosis cases is known to be uneven and regions of highest incidence have been identified in a number of contexts. 23 , 57 , 87 – 93 These efforts of leptospirosis mapping were also used to identify spatially associated risk factors. 94 – 99 This geographical approach of risk mapping or risk identification through spatial analysis will most probably increase in the future and in turn help identify overlooked factors impacting leptospirosis incidence.…”

Section: Leptospirosis: a Public Health Challengementioning

confidence: 99%

Leptospirosis: risk factors and management challenges in developing countries

Goarant¹

2016

RRTM

115

114

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Leptospirosis is a widespread bacterial zoonosis with highest burden in low-income populations living in tropical and subtropical regions, both in urban and in rural environments. Rodents are known as the main reservoir animals, but other mammals may also significantly contribute to human infections in some settings. Clinical presentation of leptospirosis is nonspecific and variable, and most of the early signs and symptoms point to the so-called “acute fever of unknown origin”, a major diagnostic challenge in tropical and subtropical areas. However, leptospirosis can rapidly evolve to life-threatening complications, especially if left untreated. There is a need for good awareness of leptospirosis and rapid antibiotic treatment based on clinical and epidemiological suspicion. Severe leptospirosis cases include renal and/or respiratory failure and shock, necessitating intensive care, also seldom available or with limited capacity. Confirmation of leptospirosis relies on biological diagnosis, which unfortunately uses tricky methods seldom available. This biological confirmation, however, is essential for surveillance and public health purpose. A good knowledge of leptospirosis epidemiology (eg, the reservoir animals involved, the Leptospira strains circulating, the seasonal and geographical patterns, and specific populations at risk) can be achieved through adequate surveillance and diagnosis. This can pave the way to prevention and intervention strategies and in turn alleviate the toll leptospirosis takes on affected populations. Over the past few years, leptospirosis has been increasingly recognized, as the need for multidisciplinary approaches in a One-Health perspective has been acknowledged, raising hope to successfully tackle the challenges of this zoonosis.

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Geographical and Occupational Aspects of Leptospirosis in the Coffee-Triangle Region of Colombia, 2007-2011

Cited by 14 publications

References 0 publications

Spatial epidemiological approaches to inform leptospirosis surveillance and control: A systematic review and critical appraisal of methods

Spatial epidemiological approaches to inform leptospirosis surveillance and control: A systematic review and critical appraisal of methods

Leptospirosis trends in China, 2007–2018: A retrospective observational study

Leptospirosis: risk factors and management challenges in developing countries

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