Analysis of the spatial distribution of scientific publications regarding vector-borne diseases related to climate variability in South America

López, María Luisa García; Müller, Gabriela V.; Sione, Walter Fabian

doi:10.1016/j.sste.2018.04.003

Cited by 15 publications

(12 citation statements)

References 100 publications

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“…However, wind speed, in particular, may be determinant in the population density once it may completely inhibit sand fly activities, in addition to allowing them to seek domestic environments for shelter, facilitating contact with man (Cotteaux-Lautard et al, 2016;Dokhan et al, 2016). This fact demonstrates the need for continued entomological surveillance actions, considering climatic and meteorological factors as important conditions in the monitoring of CL endemicity (Souza et al, 2015;López et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Clinical, epidemiological and climatic factors related to the occurrence of cutaneous leishmaniasis in an endemic area in northeastern Brazil

et al. 2021

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Cutaneous leishmaniasis (CL) is a neglected tropical disease with a wide distribution in the Americas. Brazil is an endemic country and present cases in all states. This study aimed to describe the occurrence, the underlying clinical and epidemiological factors, and the correlation of climatic variables with the frequency of reported CL cases in the municipality of Caxias, state of Maranhão, Brazil. This is a retrospective and descriptive epidemiological study based on data extracted from the Brazilian Information System of Diseases Notification, from 2007 to 2017. Maximum and minimum temperature, precipitation, and relative air humidity data were provided by the Brazilian National Institute of Meteorology. A total of 201 reported autochthonous CL cases were analyzed. The predominance of cases was observed in males (70.1%). The age range between 31 and 60 years old was the most affected, with 96 cases (47.9%). Of the total number of registered cases, 38.8% of the affected individuals were engaged in agriculture-related activities. The georeferenced distribution revealed the heterogeneity of disease occurrence, with cases concentrated in the Western and Southern regions of the municipality. An association was detected between relative air humidity (monthly mean) and the number of CL cases per month (p = 0.04). CL continues to be a concerning public health issue in Caxias. In this context, there is a pressing need to strengthen measures of prevention and control of the disease through the network of health services of the municipality, considering local and regional particularities.

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Section: Discussionmentioning

confidence: 99%

Clinical, epidemiological and climatic factors related to the occurrence of cutaneous leishmaniasis in an endemic area in northeastern Brazil

et al. 2021

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“…Except for the works of Triampo et al (2007), Zaman et al (2010 and2012) and the recent one of Chadsuthi et al (2021), the others did not calibrate their models against observed or registered data, they only did practical mathematical exercises based on physical-biological hypotheses of the interaction between the vector and the susceptible population. study region, there is no scientific literature on the implementation of this type of models combined with hydroclimatic variables (López et al, 2018). However, it could be mentioned the recent work of Gualtieri and Hecht (2019) who designed a simple deterministic model based on differential equations with promising results, but only explored the model dynamics by computational simulations without testing it with registered data.…”

Section: Introductionmentioning

confidence: 99%

Modeling of leptospirosis outbreaks in relation to hydroclimatic variables in the northeast of Argentina

Gómez

López

Müller

et al. 2021

Preprint

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The transmission of leptospirosis is conditioned by climatic variables. In northeastern Argentina leptospirosis outbreaks occur mainly in coincidence with periods of abundant precipitation and high hydrometric level. A Susceptible Infectious Recovered Epidemiological Model (SIR) is proposed, which incorporates hydroclimatic variables for the three most populated cities in the area (Santa Fe, Parana and Rosario), between 2009 and 2018. Results obtained by solving the proposed SIR model for the 2010 outbreaks are in good agreement with the actual data, capturing the dynamics of the leptospirosis outbreak wave. However, the model does not perform very well when isolated cases appear outside the outbreak periods, probably due to non-climatic factors not explicitly considered in the present version of the model. Nevertheless, the dynamic modeling of infectious diseases considering hydroclimatic variables constitutes a climatic service for the public health system, not yet available in Argentina.

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“…Humans most commonly become infected through occupational, recreational, or domestic contact with the urine of host animals, either directly or via contaminated water or soil (Adler and Moctezuma (2010); Trueba et al (2004)). Infectious vector-borne diseases, particularly leptospirosis, are climatic-sensitive (Organization and Organization (2012); López et al (2018López et al ( , 2019). Therefore, extreme climate events enhanced by climate change increase the problems associated with people's health (Cerda et al (2008); Sánchez et al (2009)).…”

Section: Introductionmentioning

confidence: 99%

“…In this context, the average rainfall and extreme precipitation events both in intensity and frequency increased between 1951 and 2010 in northeastern Argentina (Barros (2009); Penalba and Robledo (2010)). This region has important rivers such as Paraná and Uruguay, as a consequence, the highest rainfall caused significant flooding in the last decade (Antico et al (2014); López et al (2018)) and this trend has continued to rise in recent years Lovino et al (2018). These extreme events influence the epidemiology of infectious diseases in the region (López et al (2018(López et al ( , 2019).…”

Section: Introductionmentioning

confidence: 99%

Comparing statistical methods to predict leptospirosis incidence using hydro-climatic covariables

Jose¹,

Llop²,

López³

et al. 2019

Preprint

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Leptospiroris, the infectious disease caused by the spirochete bacteria Leptospira interrogans, constitutes an important public health problem all over the world. In Argentina, some regions present climate and geographic characteristics that favors the habitat of the bacteria Leptospira, whose survival strongly depends on climatic factors.For this reason, regional public health systems should include, as a main factor, the incidence of the disease in order to improve the prediction of potential outbreaks, helping to stop or delay the virus transmission. The classic methods used to perform this kind of predictions are based in autoregressive time series tools which, as it is well known, perform poorly when the data do not meet their requirements. Recently, several nonparametric methods have been introduced to deal with those problems. In

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Analysis of the spatial distribution of scientific publications regarding vector-borne diseases related to climate variability in South America

Cited by 15 publications

References 100 publications

Clinical, epidemiological and climatic factors related to the occurrence of cutaneous leishmaniasis in an endemic area in northeastern Brazil

Clinical, epidemiological and climatic factors related to the occurrence of cutaneous leishmaniasis in an endemic area in northeastern Brazil

Modeling of leptospirosis outbreaks in relation to hydroclimatic variables in the northeast of Argentina

Comparing statistical methods to predict leptospirosis incidence using hydro-climatic covariables

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