2017
DOI: 10.1590/1806-9282.63.11.957
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Environmental factors can influence dengue reported cases

Abstract: Although the temperature does not statistically display an association with recorded cases of dengue, we were able to verify that temperature peaks coincide with dengue outbreak peaks. Future studies on environmental pollution and its influence on the development of Aedes aegypti mosquito during all stages of its life cycle, and the definition of strategies for better monitoring, including campaigns and surveillance, would be compelling.

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Cited by 21 publications
(20 citation statements)
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“…It has been known that PM can modulate the level of cytokines, upon its exposure to the humans airways ( Bengalli et al., 2013 ; Hirota et al., 2015 ; Tang et al., 2019 ). PM were also reported to be associated with the virus infections such as Respiratory Syncytial Virus (RSV) ( Karr et al., 2009 ; Vandini et al., 2013 ), Influenza virus, Dengue virus ( Carneiro et al., 2017 ), Measles virus ( Chen et al., 2017a ; Peng et al., 2020 ) and Rhinovirus ( Proud et al., 2012 ). PM concentration has been shown to be linked with the increased number of infection rates in most of the virus-related outbreaks in the past two decades caused by RNA viruses, such as Severe Acute Respiratory Syndrome (SARS) – CoV in 2003 ( Cui et al., 2003 ), Dengue outbreak ( Massad et al., 2010 ), Swine flu H1N1 (Influenza) pandemic in 2009 ( Morales et al., 2017 ), H5N2 Influenza outbreak in United States (US), ( Zhao et al., 2019 ), Measles outbreak in 2019 ( Peng et al., 2020 ) and the recent ongoing COVID-19 outbreak ( Conticini et al., 2020 ; Dutheil et al., 2020b ; Fattorini and Regoli, 2020 ; Sciomer et al., 2020 ; Setti et al., 2020a ; Zhu et al., 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…It has been known that PM can modulate the level of cytokines, upon its exposure to the humans airways ( Bengalli et al., 2013 ; Hirota et al., 2015 ; Tang et al., 2019 ). PM were also reported to be associated with the virus infections such as Respiratory Syncytial Virus (RSV) ( Karr et al., 2009 ; Vandini et al., 2013 ), Influenza virus, Dengue virus ( Carneiro et al., 2017 ), Measles virus ( Chen et al., 2017a ; Peng et al., 2020 ) and Rhinovirus ( Proud et al., 2012 ). PM concentration has been shown to be linked with the increased number of infection rates in most of the virus-related outbreaks in the past two decades caused by RNA viruses, such as Severe Acute Respiratory Syndrome (SARS) – CoV in 2003 ( Cui et al., 2003 ), Dengue outbreak ( Massad et al., 2010 ), Swine flu H1N1 (Influenza) pandemic in 2009 ( Morales et al., 2017 ), H5N2 Influenza outbreak in United States (US), ( Zhao et al., 2019 ), Measles outbreak in 2019 ( Peng et al., 2020 ) and the recent ongoing COVID-19 outbreak ( Conticini et al., 2020 ; Dutheil et al., 2020b ; Fattorini and Regoli, 2020 ; Sciomer et al., 2020 ; Setti et al., 2020a ; Zhu et al., 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…This is supported by a study from Malaysia, wherein a moderate negative correlation was detected between trapped larvae counts and Air Pollution Index (API) with a one-week lag [47]. Another found particulate matter 10 microns or less (PM10) to have a statistically signi cant negative correlation with dengue cases [48]. On the other hand, a lack of association between dengue activity and haze was concluded by another study from Singapore, investigating dengue activity between 2001-2008 [49].…”
Section: Discussionmentioning
confidence: 69%
“…9,10,12 It should be noted that although all age ranges are equally susceptible, elderly people have more risk of developing dengue with alarm signs and severe dengue with the possibility of leading to death. 4 The temporal analysis indicated that the dengue cases followed a seasonal pattern of occurrence: they began in December and January and reached greatest incidence in February and March, coinciding with the Seasonal patterns such as this, with increased case occurrence in the early months of the year, have been found in municipalities in the states of São Paulo, 9,14,15 Piauí, 16 Rio de Janeiro 17 and Santa Catarina. 18 Increased mean temperature and relative humidity of the air were, together, capable of predicting 59.4% of infestation by the vector.…”
Section: Discussionmentioning
confidence: 89%