Night and crepuscular mosquitoes and risk of vector-borne diseases in areas of piassaba extraction in the middle Negro River basin, state of Amazonas, Brazil

Suárez-Mútis, Martha Cecília; Fé, Nelson Ferreira; Alecrim, Wilson Duarte; Coura, José Rodrigues

doi:10.1590/s0074-02762009000100002

Cited by 19 publications

(15 citation statements)

References 25 publications

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“…Visibility was not found to be a significant predictor for malaria occurrence consistent in studies in Nigeria [11] and South Africa [17]. Most Anopheles mosquitoes are crepuscular (active at dusk or dawn) or nocturnal (active at night) [31]. …”

Section: Discussionmentioning

confidence: 60%

Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique

2017

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BackgroundMozambique was recently ranked fifth in the African continent for the number of cases of malaria. In Chimoio municipality cases of malaria are increasing annually, contrary to the decreasing trend in Africa. As malaria transmission is influenced to a large extent by climatic conditions, modelling this relationship can provide useful insights for designing precision health measures for malaria control. There is a scarcity of information on the association between climatic variability and malaria transmission risk in Mozambique in general, and in Chimoio in particular. Therefore, the aim of this study is to model the association between climatic variables and malaria cases on a weekly basis, to help policy makers find adequate measures for malaria control and eradication.MethodsTime series analysis was conducted using data on weekly climatic variables and weekly malaria cases (counts) in Chimoio municipality, from 2006 to 2014. All data were analysed using SPSS-20, R 3.3.2 and BioEstat 5.0. Cross-correlation analysis, linear processes, namely ARIMA models and regression modelling, were used to develop the final model.ResultsBetween 2006 and 2014, 490,561 cases of malaria were recorded in Chimoio. Both malaria and climatic data exhibit weekly and yearly systematic fluctuations. Cross-correlation analysis showed that mean temperature and precipitation present significantly lagged correlations with malaria cases. An ARIMA model (2,1,0) (2,1,1)52, and a regression model for a Box-Cox transformed number of malaria cases with lags 1, 2 and 3 of weekly malaria cases and lags 6 and 7 of weekly mean temperature and lags 12 of precipitation were fitted. Although, both produced similar widths for prediction intervals, the last was able to anticipate malaria outbreak more accurately.ConclusionThe Chimoio climate seems ideal for malaria occurrence. Malaria occurrence peaks during January to March in Chimoio. As the lag effect between climatic events and malaria occurrence is important for the prediction of malaria cases, this can be used for designing public precision health measures. The model can be used for planning specific measures for Chimoio municipality. Prospective and multidisciplinary research involving researchers from different fields is welcomed to improve the effect of climatic factors and other factors in malaria cases.Electronic supplementary materialThe online version of this article (doi:10.1186/s13071-017-2205-6) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 60%

Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique

2017

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“…pan traps) do not often capture mosquitos. Mosquitos do exhibit positive phototaxis, however, and are captured at lights with suction traps [6,54,55]. Disease transmission by mosquitos may, therefore, increase with artificial lighting [6], but this aspect has not yet been fully investigated.…”

Section: Discussionmentioning

confidence: 99%

Tuning the white light spectrum of light emitting diode lamps to reduce attraction of nocturnal arthropods

Longcore

Aldern²,

Eggers³

et al. 2015

Phil. Trans. R. Soc. B

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Artificial lighting allows humans to be active at night, but has many unintended consequences, including interference with ecological processes, disruption of circadian rhythms and increased exposure to insect vectors of diseases. Although ultraviolet and blue light are usually most attractive to arthropods, degree of attraction varies among orders. With a focus on future indoor lighting applications, we manipulated the spectrum of white lamps to investigate the influence of spectral composition on number of arthropods attracted. We compared numbers of arthropods captured at three customizable light-emitting diode (LED) lamps (3510, 2704 and 2728 K), two commercial LED lamps (2700 K), two commercial compact fluorescent lamps (CFLs; 2700 K) and a control. We configured the three custom LEDs to minimize invertebrate attraction based on published attraction curves for honeybees and moths. Lamps were placed with pan traps at an urban and two rural study sites in Los Angeles, California. For all invertebrate orders combined, our custom LED configurations were less attractive than the commercial LED lamps or CFLs of similar colour temperatures. Thus, adjusting spectral composition of white light to minimize attracting nocturnal arthropods is feasible; not all lights with the same colour temperature are equally attractive to arthropods.

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“…First, high mosquito densities, mainly observed during the rainy season, exceed the catch capacity of a capturer applying the HL method. Second, attraction in HL captures is reduced by the presence of other mammals in the study area (cattle, apes), and A. triannulatus is known to be less anthropophilic than A. darlingi 23,24 .…”

Section: Discussionmentioning

confidence: 99%

Comparison of capture methods for the diagnosis of adult anopheline populations from State of Mato Grosso, Brazil

Missawa

Ribeiro

Maciel

et al. 2011

Rev. Soc. Bras. Med. Trop.

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Introduction: The present study compares human landing catches of primary malaria vectors with two alternative methods of capture: the Shannon trap and the Mosquito magnet. Methods: This study used regression models to adjust capture data to a negative binominal distribution. Results: Capture numbers and relative percentages obtained from the three methods vary strongly between species. The highest overall captures were obtained for Anopheles triannulatus with captures for the Shannon trap and the Mosquito magnet measuring more than 330% higher than captures obtained by human landings. For Anopheles darlingi, captures by the Shannon trap and the Mosquito magnet were about 14% and 26% of human landing catches, respectively. Another species with malaria transmission potential that was not sampled by human landing captures weascaptured by the Shannon trap and the Mosquito magnet (Anopheles oswaldoi). Both alternative sampling techniques can predict the human landing of Anopheles triannulatus, but without proportionality. Models for Anopheles darlingi counts, after totaling daily captures, are significant and proportional, but prediction models are more reliable when using the Shannon trap compared with the Mosquito magnet captures. Conclusions: These alternative capture methods can be partially recommended for the substitution of human landing captures or, at least, as complementary forms of monitoring for malarial mosquitoes.

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Night and crepuscular mosquitoes and risk of vector-borne diseases in areas of piassaba extraction in the middle Negro River basin, state of Amazonas, Brazil

Cited by 19 publications

References 25 publications

Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique

Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique

Tuning the white light spectrum of light emitting diode lamps to reduce attraction of nocturnal arthropods

Comparison of capture methods for the diagnosis of adult anopheline populations from State of Mato Grosso, Brazil

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