Susceptibility to endemic Aedes‐borne viruses among pregnant women in Risaralda, Colombia

Cardona-Ospina, Jaime A.; Trujillo, Adriana M.; Jiménez-Posada, Erika Vanessa; Sepúlveda-Arias, Juan Carlos; Tabares-Villa, Fredy A.; Altieri-Rivera, Joanne; Monsalve, Alejandro; Restrepo-Chica, Juliana; Osorio, Daniela; Espinoza, Daniel; Zhu, Yerun; Castrillón-Spitia, Juan Daniel; Henao-SanMartin, Valentina; Murillo-García, David R.; Millán, Natalia; Olaya, Sandra; Valencia-Montoya, Ana M; Bedoya-Arias, Hugo Alejandro; Villamizar‐Peña, Rhuvi; Gutiérrez‐Ocampo, Estefanía; Holguin-Rivera, Yeimer; Cortés-Bonilla, Isabella; Cardona-Trujillo, María C.; García-Barco, Alejandra; Bonilla-Aldana, D. Katterine; Lagos-Grisales, Guillermo J.; Rodríguez‐Morales, Alfonso J.; Collins, Matthew H.

doi:10.1016/j.ijid.2022.07.017

Cited by 9 publications

(9 citation statements)

References 55 publications

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“…For example, a study conducted in Zulia state, Venezuela [ 1 ] suggests an urgent public health intervention to promote a national-scale social program to reduce the risk of dengue infection in Venezuela. That is a similar situation for Colombia and other countries in Latin America [ 33 ]. Furthermore, it emphasizes an urgent need for an efficient dengue fever surveillance network with explanatory variables at the finest spatial and temporal resolutions.…”

Section: Approach To Dengue Using the One Health Perspectivesupporting

confidence: 72%

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

et al. 2022

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Dengue fever is a serious and growing public health problem in Latin America and elsewhere, intensified by climate change and human mobility. This paper reviews the approaches to the epidemiological prediction of dengue fever using the One Health perspective, including an analysis of how Machine Learning techniques have been applied to it and focuses on the risk factors for dengue in Latin America to put the broader environmental considerations into a detailed understanding of the small-scale processes as they affect disease incidence. Determining that many factors can act as predictors for dengue outbreaks, a large-scale comparison of different predictors over larger geographic areas than those currently studied is lacking to determine which predictors are the most effective. In addition, it provides insight into techniques of Machine Learning used for future predictive models, as well as general workflow for Machine Learning projects of dengue fever.

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Section: Approach To Dengue Using the One Health Perspectivesupporting

confidence: 72%

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

et al. 2022

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“…Vector-borne and zoonotic diseases remain a significant public health problem, especially in tropical and subtropical countries [ [45] , [46] , [47] ]. In the case of tick-borne diseases, these are more neglected than mosquito- or Aedes- borne infections [ [48] , [49] , [50] ]. Rickettsiosis is a zoonosis transmitted by ticks; this includes a group of bacterial diseases which are classified into four groups, typhus group (GT), ancestral group (GA), transitional group (GTR) and spotted fever group (GFM) [ 3 ].…”

Section: Discussionmentioning

confidence: 99%

Prevalence of zoonotic and non-zoonotic Rickettsia in horses: A systematic review and meta-analysis

Bonilla-Aldana

Castaño-Betancourt

Ortega-Martínez

et al. 2023

New Microbes and New Infections

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“…Neglected Arboviruses in Latin America DOI: http://dx.doi.org/10.5772/intechopen.108940 A significant problem in the diagnosis of these arboviruses includes the clinical and epidemiological overlapping [4], even with possible coinfections [16,22,98], but also the problems derived from potential antibody cross-reactivity that may yield serological false-positive results, now even, including coinfections and cross-reactivity with SARS-CoV-2 [18,[99][100][101][102]. Then, molecular diagnosis of them is critical, including multiplex testing to search simultaneously many arboviruses and perform more specific serological testing, using better antigens, such as plaque reduction neutralizing antibody testing (PRNT) [103], especially in patients with risks for severe or complicated disease.…”

Section: Rocio (Rocv)mentioning

confidence: 99%

Neglected Arboviruses in Latin America

Rodríguez‐Morales¹,

Bonilla-Aldana²

2023

New Advances in Neglected Tropical Diseases

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Over the last decade, there has been an increasing concern for epidemics in Latin America, as well as in other regions, due to arboviruses causing epidemics. Before 2013, dengue and yellow fever were of major preoccupation in urban and rural areas, respectively. But after that year, the emergence of chikungunya (2013) and Zika (2015) with their widespread in the region, affected millions of individuals, especially in tropical countries. Nowadays, other alpha and flaviviruses, but also bunyaviruses, have been circulating in the region causing small outbreaks, as is the case of Mayaro, Madariaga, Rocio, Oropouche, and St. Louis encephalitis, among others. In the current chapter, we address the situation regarding these other arboviruses that have been neglected by also being a differential diagnosis and an etiology of febrile syndrome in the region.

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Susceptibility to endemic Aedes‐borne viruses among pregnant women in Risaralda, Colombia

Cited by 9 publications

References 55 publications

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

Prevalence of zoonotic and non-zoonotic Rickettsia in horses: A systematic review and meta-analysis

Neglected Arboviruses in Latin America

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