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Article

Spatial and Temporal Distribution of Aedes aegypti and Aedes albopictus Oviposition on the Coast of Paraná, Brazil, a Recent Area of Dengue Virus Transmission

by
Silvia Jaqueline Pereira de Souza
1,
André de Camargo Guaraldo
2,
Nildimar Alves Honório
3,
Daniel Cardoso Portela Câmara
3,
Natali Mary Sukow
4,
Sarita Terezinha Machado
5,
Claudia Nunes Duarte dos Santos
6 and
Magda Clara Vieira da Costa-Ribeiro
1,*
1
Microbiology, Parasitology and Pathology (PPGMPP), Laboratory of Molecular Parasitology, Department of Basic Pathology Curitiba, Federal University of Paraná (UFPR), Curitiba 81530-900, Brazil
2
Zoology Department, Federal University of Paraná (UFPR), Curitiba 81531-980, Brazil
3
Laboratório de Mosquitos Transmissores de Hematozoários—LATHEMA, Instituto Oswaldo Cruz, Núcleo Operacional Sentinela de Mosquitos Vetores—Nosmove, Fundação Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro 21040-900, Brazil
4
Laboratory of Molecular Parasitology, Department of Basic Pathology Curitiba, Curitiba 81530-900, Brazil
5
Paraná State Health Department, 1st Health Regional, Morretes 83350-000, Brazil
6
Molecular Virology Laboratory, Carlos Chagas Institute, Fiocruz, Curitiba 81350-010, Brazil
*
Author to whom correspondence should be addressed.
Trop. Med. Infect. Dis. 2022, 7(9), 246; https://doi.org/10.3390/tropicalmed7090246
Submission received: 1 August 2022 / Revised: 20 August 2022 / Accepted: 25 August 2022 / Published: 14 September 2022
(This article belongs to the Special Issue Emerging Vector-Borne Diseases and Public Health Challenges)
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Abstract

:
Aedes aegypti and Aedes albopictus are considered the most important vectors of arboviruses in the world. Aedes aegypti is the primary vector of dengue, urban yellow fever, chikungunya and zika in Brazil, and Ae. albopictus is considered a potential vector. Distribution patterns and the influence of climatic variables on the oviposition of Ae. aegypti and Ae. albopictus were evaluated in Morretes, a tourist city in the coastal area of Paraná State, Brazil, which has recently been experiencing cases of dengue fever. Eggs were collected using ovitraps over a period of one year (September 2017 to September 2018) and reared from hatching until the emergence of the adults. Both Aedes species were found in anthropized areas with a high human density index. Findings suggest that the monthly average temperature (LRT = 16.65, p = 0.001) had significant positive influences on the oviposition of the Aedes species. Considering the wide distribution of DENV around the Paraná coast and the presence of Ae. albopictus alongside Ae. aegypti, studies on natural arbovirus infection patterns and seasonality are recommended in the region.

1. Introduction

Aedes aegypti and Aedes albopictus are sympatric, cosmopolitan and epidemiologically important species involved in transmitting arboviruses such as dengue (DENV), zika (ZIKV), yellow fever (YFV), and chikungunya viruses (CHIKV) [1,2,3]. These species have similar geographical distribution and share microhabitats in some regions such as Florida and Rio de Janeiro, including artificial vessels containing water [4,5]. These mosquitoes share the same breeding sites and compete for food, which in turn favors one species over the other and alters the distribution or abundance of both, as well as other resident mosquito species [5,6,7].
Studies carried out on mapping the global distribution of Ae. aegypti and Ae. albopictus point to an expansion in the range of habitat suitability for these species and predict that their dissemination will occur despite environmental changes, since the species are adapting to anthropogenic ecological niches using spatial dispersion [8,9,10]. Aedes aegypti had its reintroduction in Brazil in 1976 through the port of Salvador [11], and since then it has been present in all Federation Units [12]. It was reported in 1985 in the state of Paraná, in the municipality of Londrina [13]. After 28 years, the presence of the Ae. aegypti mosquito was found on the coast of Paraná, and subsequently one of the main dengue epidemics occurred in the region [14]. Ae. albopictus was found in Rio de Janeiro in 1986 [15] and arrived in the state of Paraná two years later in the municipality of Arapongas [16]. Its presence has been registered on the coast of the State since 2001 [17].
Aedes aegypti and Ae. albopictus occur in tropical and subtropical regions, as such environmental characteristics allow reproduction and provide adequate habitat, and most of Brazil is within this climatic zone [8]. The southern region of Brazil differs from other Brazilian regions due to a distinction between seasons and also by the thermal amplitude; it is the coldest region in the country, with snow in some locations during the winter [18]. The coast of Paraná has a humid subtropical climate (mesothermal) according to the Koppen classification [19,20,21], with the average temperature in the cold months being below 18 °C and an average temperature above 22 °C in the summers, concentrating the rains in the summer, despite not having a defined dry season [22,23,24].
The coastal area of the State of Paraná exhibits a reduced thermal amplitude during the year, probably due to the influence of the warm maritime current from Brazil which causes an increase in air humidity [25] with an average rainfall of 2000 mm to 2200 mm per year. Rainfall patterns are irregular in summer and more constant in spring [22,26]. On the other hand, the temperature presents averages above 37 °C in the summer and below 13 °C in the coldest periods [22], constituting characteristics which enable both Ae. aegypti and Ae. albopictus to proliferate in the region.
The Paraná State Health Department (SESA/PR) reported the first important dengue epidemic in the city of Paranaguá in 2016, as well as the first occurrence of ZIKV and CHIKV infections [14]. Paranaguá and Antonina are the main city ports along the coast of the State of Paraná, Brazil.
All cargoes which leave the port of Antonina are routed through Morretes, which is also an important tourist city, and Ae. albopictus was the predominant species until 2014, when Ae. aegypti was first noticed. Thus, the aim of this study is to present the spatial and temporal distribution of Ae. aegypti and Ae. albopictus along a transect in the city of Morretes. As well as to evaluate the influence of climatic variables on these species in a recent area of dengue in southern Brazil, which have been sympatric since 2014.

2. Materials and Methods

2.1. Study Area

The city of Morretes is located on the coast in Paraná State, has 15,718 inhabitants and is a part of the first Health Region of Paraná State. It is situated on a plain at 25°38′00″ S latitude and 48°34′00″ W longitude, covering an area of 684.580 km2 (Figure 1A,B). The city is characterized by a humid tropical climate, with average temperatures above 37 °C in summer and below 13 °C in winter, an undetermined dry season, hot summers, and infrequent frosts [27,28].

2.2. Entomological Survey and DENV Dengue Fever Cases

Oviposition traps are used to collect populations of Ae. aegypti and Ae. albopictus as tools for mosquito surveillance in different studies in Brazil, since this method has high sensitivity in detecting the presence and comparing infestations in different areas [1,29,30,31,32,33]. Aedes eggs were collected using ovitraps consisting of a black container with a capacity of 500 mL of type water, using EucatexTM paddles fixed by clips which allow for oviposition [34].
The ovitraps were placed at 23 points (Figure 1C) along a transect crossing the city of Morretes, covering places with high and low vegetation cover and with high and low circulation of people, in backyards, external commercial places, tire repair shops and garages, as well as schools, with an average spacing of 191.64 m between them. These ovitraps were installed for 4 consecutive days for 13 months, for 24 h, generating a monthly sampling effort of 2208 h of capture. After removal from the collection field, the straws were taken to the Molecular Parasitology Laboratory at the Federal University of Paraná (UFPR), and analyzed in a stereomicroscope for the presence or absence and number of eggs, which were then reared from hatching until adults emerged. Adult mosquitoes were identified according to collection point, sex, and species using the dichotomous key of Consoli and Lourenço-de-Oliveira [3].
The monthly collection was from September 2017 to September 2018, one year after the first notification of an autochthonous cases of dengue in the municipality of Paranaguá by the Paraná State Health Department (SESA/PR). The data on autochthonous cases of dengue fever in the city of Morretes and coastal municipalities from 2014 until 2020 were obtained by SESA [14].

2.3. Climate Variables

Monthly data regarding total precipitation, temperature, and relative humidity (maximum, average, and minimum) were obtained from the Meteorological Station APPA (Administração dos Portos de Paranaguá e Antonina) Antonina at 25°44′71.6″ S latitude and 48°34′43.4″ W longitude, located at 17.8 km from the municipality of Morretes [26]. Meteorological information was collected from 2014 to 2018 in order to determine a possible climatic variation in the three years preceding the experiments.

2.4. Statistical Analysis

We first contrasted the number of emerged adults of both species and sex within species through a negative binomial linear model followed by estimated marginal means contrasts to check for the hatching patterns of both Aedes species. Then, we calculated the adult hatching peak date and its concentration (r) along the year for each species. This allowed us to assess the oviposition patterns, as well as to compare the circular distribution (i.e., temporal) pattern of this data of each species via a Wallraff rank sum, a test based on Kruskal-Wallis χ2 [35].
Next, a preliminary assessment was performed comparing the climate of the study period with that of the previous three years to adjust the comparison model between climatic variables and mosquito frequency using linear mixed models (LMM) and considering the month as a random factor. We graphically checked for each model validity through the residual plots against the data to verify homoscedasticity assumptions, normality of residuals, and influential values (i.e., outliers). The post-hoc Tukey’s test, followed by the Bonferroni correction, was used to compare the absolute number of adults between years. The analyses were performed in R 3.4.2 [36], using lme4 [37], emmeans [38], cowplot [39] and ggplot2 [40].
The circular package was used to calculate the concentration (r) and the average oviposition date for each mosquito species frequency, thus assessing the oviposition patterns, as well as to compare the circular distribution (i.e., temporal) pattern of this data from each species via a Wallraff rank sum, a test based on Kruskal-Wallis χ2 [35].
Poisson Generalized Linear Mixed Model (GLMM) followed by variable selection through likelihood ratio (LRT) [41] test was used to assess the influence of climatic and environmental factors on the oviposition patterns for both mosquito species in the study area, considering traps and months as random factors in these models. The model was graphically validated, as above. The number of adults was the response variable, while species, monthly average temperature, minimum relative humidity were the predictor variables. All other available climate variables monthly, i.e., rainfall, minimum temperature, maximum temperature, maximum relative humidity were excluded due to collinearity (r > 0.7).
Mosquitoes oviposition was represented using a Kernel cut-off estimator. The Kernel map estimates function values at intermediate points of intervals for point location for an entire area forming a surface whose value is proportional to the intensity of those facing the area [42].

3. Results

3.1. Spatial and Temporal Distribution of Mosquitoes and DENV Cases

A total of 6462 eggs of Aedes species were collected during this study. From these, a total of 1700 (26.30%) mosquitoes were identified from eggs collected over 13 months in Morretes, Paraná. In addition, 1011 (59.47%) of these were identified as Ae. albopictus, being 516 (51.03%) males and 495 (48.97%) females; and 689 (40.53%) were identified as Ae. aegypti, including 333 (48.33%) males and 356 (51.64%) females. Adult hatching was null for samples taken in all points in August 2018 (Figure 2). The number of hatched mosquito specimens significantly varied (LRT = 25.33, p = 0.005) among the remaining months, irrespective of species (LRT = 0.156, p = 0.69) and sex (LRT = 0.053, p = 0.82). Nevertheless, significant contrasts only occurred between April and November (z = −3.53, p = 0.02) and November and December (z = 4.13, p = 0.0002).
Considering the 23 collection sites selected, a higher collection of eggs was observed at collection points 15 and 23 (N = 8), being eight months with positive collections), followed by collection points: 9 (N = 7), 17 and 22 (N = 6), 4, 11 and 16 (N = 5), 2, 3, 10, 13, 18 and 19 (N = 4), 1, 5, 8 and 21 (N = 3), and 7 and 20 (N = 2) (Figure 3; Table 1). Aedes aegypti identified from eggs were present at different collection points in the central area of Morretes, and the highest numbers were found at collection points 4 (N = 66, 9.57%), 9 (N = 64, 9.28%), 11 (N = 64, 9.28%), 15 (N = 148, 21.48%), 18 (N = 64, 9.28%) and 23 (N = 59, 11.57%) (Figure 3A). Aedes albopictus identified from eggs were present in high numbers at collection points: 11 (N = 117, 11.57%), 13 (N = 118, 11.67%), 15 (N = 100, 9.89%), 16 (N = 76, 7.51%), 17 (N = 96, 9.49%) and 23 (N = 127, 12%) (Figure 3B). Only two collection points (12 and 14) showed no evidence of the presence of Aedes spp. individuals. Overall, the highest occurrence of Aedes spp. was observed in the central area of the city throughout the study period (Figure 3C).
A total of 13 autochthonous dengue fever cases were recorded in Morretes during 2017 (Figure 4), with five of these cases located close to collection points 3, 8, 9, 10 and 18 from this study. Two of these collection points with dengue cases reported (points 3 and 8) only showed the presence of Ae. albopictus.
The Aedes species identified in this study presented different oviposition patterns (χ2 = 209.69, p < 0.001). Aedes albopictus identified from eggs presented the highest number of adults, with record numbers from October 2017 to March 2018 (r = 0.58) and an average peak between January and February 2018 (Figure 5A). Aedes aegypti presented a lower number throughout the year (r = 0.41), with an average peak in mid-February 2018 (r = 0.41) (Figure 5B).

3.2. Abiotic Factors

The average temperature during the collection period ranged from 17 °C to 24.9 °C, with the highest average temperature of 24.9 °C from December 2017 to April 2018. The average relative humidity varied from 80% to 87%, with the lowest levels experienced in November 2017 (80%) and the highest in May, June and July 2019 (87.5%). Total precipitation varied from 16 mm (July 2018) to 288 mm (December 2017). Temperature, relative humidity and precipitation levels during the collection period were similar to those recorded the previous three years (Tukey’s HSD; p > 0.05) (Figure 6). The average relative humidity varied from 79% to 91% over the previous years, which is not significantly different from the value obtained during the collection period. However, the minimum relative humidity showed different patterns from 2014 to 2015 and from 2015 to 2016 (Figure 6E).
Of the climatic variables assessed, only the average temperature had a significant positive influence on number of hatched adults (LRT = 16.65; p < 0.001) (Figure 7), with a slight variation in the total number of adults per trap (σ2 = 3.56 ± 1.89) and over the months (σ2 = 1.07 ± 1.03). Aedes species showed significant differences in the total number of hatched adults per trap, showing higher numbers for Ae. albopictus species (ß = 0.51 ± 0.05; z = 9.38; p < 0.001).

4. Discussion

Some autochthonous cases of dengue were recorded near our collection point during the sampling period. Aedes albopictus was the only species identified at collection points 3 and 8, whereas both Aedes species were observed at collection points 9, 10 and 18. Collection point 3 was characterized by being less urbanized, and was located close to a high traffic highway; whereas collection points 8, 9 and 10 were located in the central region of the city close to tourist areas, railroads and areas with higher human circulation levels.
The introduction of Ae. aegypti in Morretes city was described by the Entomology Laboratory of the Municipality of Morretes from the Health Regional of SESA/PR in 2014 [43]. Aedes albopictus had already been detected in the forest edge in rural habitats of Morretes [17].
Autochthonous dengue fever cases were reported on the coast of Paraná after Paranaguá city reported the presence of Ae. aegypti in 2013 [44]. Paranaguá registered its first case in 2014, and two years later Antonina and Morretes. Other cities along the Paraná coast, such as Guaraqueçaba, Matinhos, Pontal do Paraná and Guaratuba, also recorded dengue fever cases in 2016 (Figure 4) [14].
Our results show that both Ae. aegypti and Ae. albopictus were observed in an urbanized area in the central region of the municipality. The predominance of Ae. albopictus found in 61% of the ovitraps can be explained by the geographical characteristics of the municipality being in the Atlantic Forest, which has a strong influence in this urbanized area. Aedes aegypti prefer more urbanized environments, which explains the higher numbers in areas of high anthropic influence with movement of large numbers of people.
Recent studies [7,45,46,47] reinforce that Ae. albopictus is mainly found in natural oviposition sites [3,32,48]; this preference does not limit the species, as there is a record of its presence in more developed suburban and urban environments, using artificial breeding sites such as plastic containers and tires [33,47,48,49,50]. The coexistence of Ae. aegypti and ae. albopictus in artificial breeding sites in forested and urbanized areas demonstrates a dominance of Ae. albopictus over Ae. aegypti under these conditions [5,6,45].
The search for Ae. albopictus in artificial places to lay eggs may be correlated with the disorderly growth of urban areas and the lack of waste management, thereby producing changes in the landscape [33,47,48,49,50] in the transition zones between forest and urban areas, which facilitates the dispersal of anthropophilic mosquito species to previously unsuitable habitats [50,51,52,53,54].
Since its arrival in Brazil [15], Ae. albopictus has been found in 59% of cities in different regions of the country [55,56]. Moreover, this species has gradually been occupying locations in the urban environment. Although characteristically common in areas with vegetation, it also survives in transitional environments with relatively low vegetation cover and greater dispersion of the human population [5,32,33,49,50]. Later studies have shown that both patterns were identified in Brazil for this mosquito: Ae. albopictus was found coexisting with Ae. aegypti in the city of Recife, Brazil, in places with urban characteristics where the human population has expanded and in areas with greater vegetation cover [53,57].
The dispersion and domiciliation of Ae. albopictus in densely urbanized areas is a concern, since the mosquito competent vector for the transmission of YFV strains [50], related to sylvatic environments, lies in its ability to survive in transition zones [58,59,60]. At the same time, authors have suggested that the circulation of the virus may be occurring among mosquitoes, acting as a possible bridge between wild and urban cycles of the virus [47,57,58,59,60,61]
Of the climatic variables, average temperature presented the highest significant correlation with the species collected. There was also an increase in adult density during months with higher temperatures, such as January and February 2018. This finding was corroborated by the one study carried out in the city of Natal, Brazil, where high temperatures are constant throughout the year, predisposing the region to high Ae. aegypti and Ae. albopictus infestation; however, its development can be harmed with excess precipitation and relative humidity [57,62,63].
The positive influence of temperature on Ae. aegypti proliferation was also recorded in the city of Porto Alegre, State of Rio Grande do Sul, Brazil [64]. A study on the adaptation of Ae. aegypti and Ae. albopictus pointed out that the increase in temperature favors the species and that temperatures below 13 °C is lethal for both [65]. Custódio et al. [63] demonstrated that temperatures above 24 °C in Campo Grande, Brazil favored the development and temperature of approximately 18 °C prevented the reproduction of Ae. albopictus.
Although Ae. albopictus has not been identified as a vector for arboviruses in Brazil, monitoring this vector is essential due to its abundant and proven vectorial competence [5,66]. An A. albopictus sample infected by DENV and ZIKV was reported in the state of Espírito Santo, but even with epidemiological relevance, it was not possible to identify the infection origin [67]. It is noteworthy that Ae. albopictus is a DENV vector in several Asian [68,69,70] Africans countries [45,46], as well as in some temperate countries such as Spain [71,72], France and Italy [73,74,75,76].
Aedes albopictus was the predominant species in the city of Morretes until 2014. The first autochthonous cases of DENV and the detection of Ae. aegypti had already been reported in Paranaguá in this period.
We suggested that introduction of Ae. aegypti was facilitated by the main route that connects Antonina to Paranaguá and passes through the city of Morretes. The tourism, the main economic activity in the city, also contributes to flow of people and means of transport [28].
In conclusion, Ae. albopictus is still prevalent in the city of Morretes. The monthly average temperature had significant correlation with the species collected, which in turn had significant positive influences on the oviposition rates of Ae. aegypti and Ae. albopictus.
Considering that the coast of Paraná has registered autochthonous cases of arbovirus infection [14] mainly accompanied by the arrival of Ae. aegypti, it is of utmost importance to understand the seasonality of Ae. aegypti and Ae. albopictus in this region. In addition, further studies on the presence of Ae. albopictus in relation to Ae. aegypti and surveillance on natural arbovirus infection are recommended in these areas.

Author Contributions

Conceptualization, S.J.P.d.S. and M.C.V.d.C.-R.; methodology, S.J.P.d.S., A.d.C.G., N.A.H., D.C.P.C., N.M.S., S.T.M., C.N.D.d.S. and M.C.V.d.C.-R.; software, S.J.P.d.S., A.d.C.G., N.A.H., D.C.P.C., N.M.S., S.T.M., C.N.D.d.S. and M.C.V.d.C.-R.; validation, S.J.P.d.S., A.d.C.G., N.A.H., D.C.P.C., N.M.S., S.T.M., C.N.D.d.S. and M.C.V.d.C.-R.; formal analysis, S.J.P.d.S., A.d.C.G., N.A.H., D.C.P.C., N.M.S., S.T.M., C.N.D.d.S. and M.C.V.d.C.-R.; investigation, S.J.P.d.S., A.d.C.G., N.M.S. and M.C.V.d.C.-R.; resources, S.J.P.d.S., A.d.C.G., N.A.H., D.C.P.C., N.M.S., S.T.M., C.N.D.d.S. and M.C.V.d.C.-R.; data curation, S.J.P.d.S., A.d.C.G., D.C.P.C. and M.C.V.d.C.-R.; writing—original draft preparation, S.J.P.d.S., A.d.C.G., N.A.H., D.C.P.C., N.M.S., S.T.M., C.N.D.d.S. and M.C.V.d.C.-R.; writing—review and editing, S.J.P.d.S., A.d.C.G., N.A.H., D.C.P.C., N.M.S., S.T.M., C.N.D.d.S. and M.C.V.d.C.-R.; visualization, S.J.P.d.S., A.d.C.G., N.A.H., D.C.P.C., N.M.S., S.T.M., C.N.D.d.S. and M.C.V.d.C.-R.; supervision, S.J.P.d.S., A.d.C.G., D.C.P.C. and M.C.V.d.C.-R.; project administration, M.C.V.d.C.-R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We acknowledge the Municipality of Morretes, belonging to the 1st Health Regional of Paraná, which enabled us, through the Endemic Diseases Agents, to carry out the monthly collections for the composition of this study. Thanks to CNPq fellow (Duarte dos Santos, C.N.)

Conflicts of Interest

All authors have approved the manuscript and agree with its submission. We have no conflict of interest to disclose and we state that the manuscript has will not be submitted elsewhere for publication. Are no disputes over the ownership of the data presented in the paper and all contributions have been attributed appropriately, via coauthorship or acknowledgement.

References

  1. Honório, N.A.; Câmara, D.C.P.; Calvet, G.A.; Brasil, P. Chikungunya: An Arbovirus Infection in the Process of Establishment and Expansion in Brazil. Cad. de Saude Publica 2015, 31, 906–908. [Google Scholar] [CrossRef] [PubMed]
  2. Heinisch, M.R.S.; Diaz-Quijano, F.A.; Chiaravalloti-Neto, F.; Menezes Pancetti, F.G.; Rocha Coelho, R.; dos Santos Andrade, P.; Urbinatti, P.R.; de Almeida, R.M.M.S.; Lima-Camara, T.N. Seasonal and Spatial Distribution of Aedes Aegypti and Aedes Albopictus in a Municipal Urban Park in São Paulo, SP, Brazil. Acta Trop. 2019, 189, 104–113. [Google Scholar] [CrossRef]
  3. Consoli, R.A.G.B.; Lourenço de Oliveira, R. Principais Mosquitos de Importância Sanitária No Brasil; Editora Fiocruz: Rio de Janeiro, Brasil, 1994. [Google Scholar]
  4. Rey, J.R.; Lounibos, P. Ecología de Aedes Aegypti y Aedes Albopictus En América y Transmisión Enfermedades. Biomedica 2015, 35, 177–185. [Google Scholar] [CrossRef]
  5. Camara, D.C.P.; Codeço, C.T.; Juliano, S.A.; Lounibos, L.P.; Riback, T.I.S.; Pereira, G.R.; Honorio, N.A. Seasonal Differences in Density but Similar Competitive Impact of Aedes Albopictus (Skuse) on Aedes Aegypti (L.) in Rio de Janeiro, Brazil. PLoS ONE 2016, 11, e0157120. [Google Scholar] [CrossRef] [PubMed]
  6. Lounibos, L.P.; Juliano, S.A. Where Vectors Collide: The Importance of Mechanisms Shaping the Realized Niche for Modeling Ranges of Invasive Aedes Mosquitoes. Biol. Invasions 2018, 20, 1913–1929. [Google Scholar] [CrossRef] [PubMed]
  7. Shragai, T.; Harrington, L.; Alfonso-Parra, C.; Avila, F. Oviposition Site Attraction of Aedes Albopictus to Sites with Conspecific and Heterospecific Larvae during an Ongoing Invasion in Medellín, Colombia. Parasites Vectors 2019, 12, 455. [Google Scholar] [CrossRef] [PubMed]
  8. Leta, S.; Beyene, T.J.; de Clercq, E.M.; Amenu, K.; Kraemer, M.U.G.; Revie, C.W. Global Risk Mapping for Major Diseases Transmitted by Aedes Aegypti and Aedes Albopictus. Int. J. Infect. Dis. 2018, 67, 25–35. [Google Scholar] [CrossRef] [PubMed]
  9. Kraemer, M.U.G.; Reiner, R.C.; Brady, O.J.; Messina, J.P.; Gilbert, M.; Pigott, D.M.; Yi, D.; Johnson, K.; Earl, L.; Marczak, L.B.; et al. Past and Future Spread of the Arbovirus Vectors Aedes Aegypti and Aedes Albopictus. Nat. Microbiol. 2019, 4, 854–863. [Google Scholar] [CrossRef] [PubMed]
  10. Nsoesie, E.O.; Kraemer, M.U.; Golding, N.; Pigott, D.M.; Brady, O.J.; Moyes, C.L.; Johansson, M.A.; Gething, P.W.; Velayudhan, R.; Khan, K.; et al. Global Distribution and Environmental Suitability for Chikungunya Virus, 1952 to 2015. Eurosurveillance 2016, 21, 30234. [Google Scholar] [CrossRef]
  11. Cavalcante, K.R.L.J.; Tauil, P.L. Características Epidemiológicas Da Febre Amarela No Brasil, 2000–2012. Epidemiol. E Serv. De Saúde Rev. Do Sist. Único De Saúde Do Bras. 2016, 25, 11–20. [Google Scholar] [CrossRef]
  12. Zara, A.; dos Santos, S.; Fernandes-Oliveira, E.; Carvalho, R.; Coelho, G. Estratégias de Controle Do Aedes Aegypti: Uma Revisão. Epidemiol. Serviços Saúde 2016, 25, 391–404. [Google Scholar] [CrossRef]
  13. Lopes, J.; Silva, M.N.; Borsato, Â.M.; Oliveira, V.D.R.B.D.; Oliveira, F.J. Aedes (Stegomyia) Aegypti L. e a Culicideofauna Associada Em Área Urbana Da Região Sul, Brasil. Rev. Saúde Pública 1993, 27, 326–333. [Google Scholar] [CrossRef]
  14. Paraná, Secretaria de Estado da Saúde do Paraná (SESA/PR). Boletim Epidemiológico Dengue_Combate À Dengue. Available online: https://www.dengue.pr.gov.br/Pagina/Boletins-da-Dengue (accessed on 11 June 2022).
  15. Forattini, O.P. Identificação de Aedes (Stegomyia) Albopictus (Skuse) No Brasil. Rev. Saúde Pública 1986, 20, 244–245. [Google Scholar] [CrossRef] [PubMed]
  16. Silva, A.M.; Nunes, V.; Lopes, J. Culicídeos Associados a Entrenós de Bambu e Bromélias, Com Ênfase Em Aedes (Stegomyia) Albopictus (Diptera, Culicidae) Na Mata Atlântica, Paraná, Brasil. Iheringia. Série Zoologia 2004, 94, 63–66. [Google Scholar] [CrossRef]
  17. Costa-Ribeiro, M.C.V.; Santos-Neto, L.G. dos Primeiro Registro de Aedes (Stegomyia) Albopictus (Skuse) (Diptera, Culicidae) Em Morretes, Planície Litorânea Do Estado Do Paraná, Brasil. Rev. Bras. de Zool. 2001, 18, 347–348. [Google Scholar] [CrossRef]
  18. Wrege, M.S.; Steinmetz, S.; Júnior, C.R.; de Almeida, I.R. Atlas Climático Da Região Sul Do Brasil: Estados Do Paraná, Santa Catarina e Rio Grande Do Sul; Embrapa: Brasília, Spain, 2012; ISBN 9788570350138. [Google Scholar]
  19. Beck, H.E.; Zimmermann, N.E.; McVicar, T.R.; Vergopolan, N.; Berg, A.; Wood, E.F. Present and Future Köppen-Geiger Climate Classification Maps at 1-Km Resolution. Sci. Data 2018, 5, 180214. [Google Scholar] [CrossRef]
  20. Alvares, C.A.; Stape, J.L.; Sentelhas, P.C.; de Moraes Gonçalves, J.L.; Sparovek, G. Köppen’s Climate Classification Map for Brazil. Meteorol. Z. 2013, 22, 711–728. [Google Scholar] [CrossRef]
  21. Köppen, W.G.; Geiger, R.M. Das Geographische System Der Klimate. Handb. der Klimatol. 1936, 1, 1–44. [Google Scholar]
  22. Vanhoni, F.; Mendonça, F. O Clima Do Litoral Do Estado Do Paraná. Rev. Bras. de Climatol. 2008, 3, 1–15. [Google Scholar] [CrossRef]
  23. Fritzsons, E.; Mantovani, L.E.; Wrege, M.S.; Neto, A.C. Análise Da Pluviometria Para Definição de Zonas Homogêneas No Estado Do Paraná Rainfall Analysis to Define Homogeneous Pluvometric Areas in the State of Paraná; 2011; pp. 555–572. Available online: https://revistas.ufpr.br/raega/article/view/24921 (accessed on 13 August 2022).
  24. Nitsche, P.R.; Caramori, P.H.; da Ricce, W.S.; Pinto, L.F.D. Atlas Climático Do Estado Do Paraná; Instituto Agronômico do Paraná: Londrina, Spain, 2019; ISBN 978-85-88184-58-3.
  25. de Cavalcanti, I.F.A.; Ferreira, N.J.; da Silva, M.G.A.J.; da Dias, M.A.F.S. Tempo e Clima No Brasil, 1st ed.; Oficina de Textos: São Paulo, Spain, 2009; ISBN 978-85-86238-92-5. [Google Scholar]
  26. SIMEPAR. Sistema de Tecnologia e Monitoramento Ambiental do Paraná Dados Das Estações Meteorológicas Do Simepar No Paraná. Available online: http://www.simepar.br (accessed on 31 December 2021).
  27. IBGE—Instituto Brasileiro de Geografia e Estatística Estimativas de População. 2021. Available online: http://www.ibge.gov.br:estatisticas:sociais:populacao:9103-estimativas-de-populacao.html?=&t=resultados (accessed on 31 December 2021).
  28. IPARDES—Instituto Paranaense de Desenvolvimento Econômico e Social. Caderno Estatístico Município de Morretes; 2022. Available online: http://www.ipardes.gov.br/cadernos/MontaCadPdf1.php?Municipio=83350 (accessed on 13 August 2022).
  29. Braga, I.A.; Valle, D. Aedes Aegypti—Histórico Do Controle No Brasil. Epidemiol. Serviços Saúde 2007, 16, 113–118. [Google Scholar] [CrossRef]
  30. Valle, D.; Aguiar, R.; Pimenta, D.N.; Ferreira, V. Aedes de A a Z.; Editora Fiocruz: Rio de Janeiro, Brazil, 2021; ISBN 9786557080986. [Google Scholar]
  31. Valle, D.; Codeço, C.; da Lima Silva, A.W.; Araújo, S.C.; Lima, J.B.P.; Honório, N.; de Freitas, R. Allan Kardec Ribeiro Galardo NOTA TÉCNICA N.o 3:2014:IOC—Avaliação de Armadilhas Para a Vigilância Entomológica de Aedes Aegypti Com Vistas À Elaboração de Novos Índices de Infestação. Fiocruz Diretoria 2014, 1, 1–7. [Google Scholar]
  32. Braks, M.A.H.; Honório, N.A.; Lourenço-De-Oliveira, R.; Juliano, S.A.; Lounibos, L.P. Convergent Habitat Segregation of Aedes Aegypti and Aedes Albopictus (Diptera: Culicidae) in Southeastern Brazil and Florida. J. Med. Entomol. 2003, 40, 785–794. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Honório, N.A.; Castro, M.G.; de Barros, F.S.M.; de Magalhães, M.A.F.M.; Sabroza, P.C. Padrões Da Distribuição Espacial Do Aedes Aegypti e Aedes Albopictus Em Uma Zona de Transição No Rio de Janeiro, Brasil. Cad. de Saude Publica 2009, 25, 1203–1214. [Google Scholar] [CrossRef] [PubMed]
  34. Fay, R.; Eliason, D. A Preferred Oviposition Site as a Surveillance Method for Aedes Aegypti. Mosq. News 1966, 26, 531–535. [Google Scholar]
  35. Agostinelli, C.; Lund, U. R Package Circular: Circular Statistics (Version 0.4-7); CA: Department of Environmental Sciences, Informatics and Statistics, Ca’ Foscari University, Venice, Italy; UL: Department of Statistics, California Polytechnic State University, San Luis Obispo, California, USA, 2013; Available online: https://CRAN.R-project.org/package=circular (accessed on 5 September 2019).
  36. Core Team. R: A Language and Environment for Statistical Computing (Version 3.4.2); R Foundation for Statistical Computing: Vienna, Austria, 2018. Available online: https://www.R-project.org (accessed on 5 September 2019).
  37. Bates, D.; Maechler, M.; Bolker, B.; Walker, S. Lme4: Linear Mixed-Effects Models Using S4 Classes; 2014; Available online: http://lme4.r-forge.r-project.org/ (accessed on 5 September 2019).
  38. Russell, A.; Lenth, V.; Buerkner, P.; Herve, M.; Love, J.; Singmann, H.; Lenth, M.R. V Package ‘Emmeans’ R Topics Documented. 2021, 34, 216–221. Available online: https://github.com/rvlenth/emmeans (accessed on 19 April 2022).
  39. Wilke, C. Cowplot: Streamlined Plot Theme and Plot Annotations for “Ggplot2”; 2017. Available online: https://github.com/wilkelab/cowplot (accessed on 5 September 2019).
  40. Wickham, H. Ggplot2; Springer International Publishing: Cham, Switzerland, 2016; ISBN 978-3-319-24275-0. [Google Scholar]
  41. Signorelli, M.; Spitali, P.; Tsonaka, R. Poisson–Tweedie Mixed-Effects Model: A Flexible Approach for the Analysis of Longitudinal RNA-Seq Data. Stat. Model. 2021, 21, 520–545. [Google Scholar] [CrossRef]
  42. Environmental Systems Research Institute (ESRI). Spatial Analysis and Data Science—ArcGis 10.5; 2017; Available online: http://www.esri.com/software/arcgis/index.html (accessed on 1 December 2019).
  43. Secretaria de Municipal da Saúde. Comunicando a Identificação de Larvas Do Mosquito Aedes aegypti No Município de Morretes. Nota No18/2014. Secretaria de Municipal da Saúde: Morretes, Parana, Brazil, 2014; not published. [Google Scholar]
  44. Paranaguá, Secretaria de Municipal da Saúde. Plano Municipal de Contingência Da Dengue; Secretaria de Municipal da Saúde; Paranaguá, Secretaria de Municipal da Saúde: Paranaguá, Brasil, 2014. Available online: https://bvsms.saude.gov.br/bvs/publicacoes/plano_contingencia_nacional_epidemias_dengue.pdf (accessed on 30 May 2018).
  45. Wilson-Bahun, T.A.; Kamgang, B.; Lenga, A.; Wondji, C.S. Larval Ecology and Infestation Indices of Two Major Arbovirus Vectors, Aedes Aegypti and Aedes Albopictus (Diptera: Culicidae), in Brazzaville, the Capital City of the Republic of the Congo. Parasites Vectors 2020, 13, 492. [Google Scholar] [CrossRef]
  46. Alfsnes, K.; Eldholm, V.; Gaunt, M.W.; de Lamballerie, X.; Gould, E.A.; Pettersson, J.H.O. Tracing and Tracking the Emergence, Epidemiology and Dispersal of Dengue Virus to Africa during the 20th Century. One Health 2021, 13, 100337. [Google Scholar] [CrossRef]
  47. Dalpadado, R.; Amarasinghe, D.; Gunathilaka, N.; Ariyarathna, N. Bionomic Aspects of Dengue Vectors Aedes Aegypti and Aedes Albopictus at Domestic Settings in Urban, Suburban and Rural Areas in Gampaha District, Western Province of Sri Lanka. Parasites Vectors 2022, 15, 148. [Google Scholar] [CrossRef]
  48. Pereira dos Santos, T.; Roiz, D.; Santos de Abreu, F.V.; Luz, S.L.B.; Santalucia, M.; Jiolle, D.; Santos Neves, M.S.A.; Simard, F.; Lourenço-de-Oliveira, R.; Paupy, C. Potential of Aedes Albopictus as a Bridge Vector for Enzootic Pathogens at the Urban-Forest Interface in Brazil. Emerg. Microbes Infect. 2018, 7, 1–8. [Google Scholar] [CrossRef]
  49. Lima-Camara, T.N.; Urbinatti, P.R.; Chiaravalloti-Neto, F. Finding Aedes Aegypti in a Natural Breeding Site in an Urban Zone, Sao Paulo, Southeastern Brazil. Rev. de Saúde Pública 2016, 50. [Google Scholar] [CrossRef] [PubMed]
  50. Ayllón, T.; Câmara, D.C.P.; Morone, F.C.; da Silva Gonçalves, L.; de Barros, F.S.M.; Brasil, P.; Carvalho, M.S.; Honório, N.A. Dispersion and Oviposition of Aedes Albopictus in a Brazilian Slum: Initial Evidence of Asian Tiger Mosquito Domiciliation in Urban Environments. PLoS ONE 2018, 13, e0195014. [Google Scholar] [CrossRef] [PubMed]
  51. Ferraguti, M.; Martínez-De La Puente, J.; Roiz, D.; Ruiz, S.; Soriguer, R.; Figuerola, J. Effects of landscape anthropization on mosquito community composition and abundance. Sci. Rep. 2016, 6, 29002. [Google Scholar] [CrossRef] [PubMed]
  52. da Fonseca Júnior, D.P.; Serpa, L.L.N.; Barbosa, G.L.; Pereira, M.; Holcmam, M.M.; Voltolini, J.C.; Marques, G.R.A.M. Vectors of Arboviruses in the State of São Paulo: 30 Years of Aedes Aegypti and Aedes Albopictus. Rev. de Saúde Pública 2019, 53, 84. [Google Scholar] [CrossRef]
  53. Barbosa, R.M.R.; de Melo-Santos, M.A.V.; Silveira, J.C., Jr.; Silva-Filha, M.H.N.L.; Souza, W.V.; de Oliveira, C.M.F.; Ayres, C.F.J.; do Xavier, M.N.; Rodrigues, M.P.; dos Santos, S.A.; et al. Infestation of an Endemic Arbovirus Area by Sympatric Populations of Aedes Aegypti and Aedes Albopictus in Brazil. Memórias do Inst. Oswaldo Cruz 2020, 115, e190437. [Google Scholar] [CrossRef]
  54. Juliano, S.A.; Philip Lounibos, L. Ecology of Invasive Mosquitoes: Effects on Resident Species and on Human Health. Ecol. Lett. 2005, 8, 558–574. [Google Scholar] [CrossRef]
  55. Bezerra, J.; Araújo, R.; Melo, F.; Gonçalves, C.; Chaves, B.; Silva, B.; Silva, L.; Brandão, S.; Secundino, N.; Norris, D.; et al. Aedes (Stegomyia) Albopictus Dynamics Influenced by Spatiotemporal Characteristics in a Brazilian Dengue-Endemic Risk City. Acta Trop. 2016, 164, 431–437. [Google Scholar] [CrossRef]
  56. Ferreira-de-Lima, V.H.; Câmara, D.C.P.; Honório, N.A.; Lima-Camara, T.N. The Asian Tiger Mosquito in Brazil: Observations on Biology and Ecological Interactions since Its First Detection in 1986. Acta Trop. 2020, 205, 105386. [Google Scholar] [CrossRef]
  57. de Moura, M.C.B.M.; de Oliveira, J.V.; Pedreira, R.M.; de Tavares, A.M.; de Souza, T.A.; de Lima, K.C.; Barbosa, I.R. Spatio-Temporal Dynamics of Aedes Aegypti and Aedes Albopictus Oviposition in an Urban Area of Northeastern Brazil. Trop. Med. Int. Health 2020, 25, 1510–1521. [Google Scholar] [CrossRef]
  58. Lourenço de Oliveira, R.; Vazeille, M.; de Filippis, A.M.B.; Failloux, A.-B. Large Genetic Differentiation and Low Variation in Vector Competence for Dengue and Yellow Fever Viruses of Aedes Albopictus from Brazil, the United States, and the Cayman Islands. Am. J. Trop. Med. Hyg. 2003, 69, 105–114. [Google Scholar] [CrossRef]
  59. Amraoui, F.; Pain, A.; Piorkowski, G.; Vazeille, M.; Couto-Lima, D.; de Lamballerie, X.; Lourenço-de-Oliveira, R.; Failloux, A.B. Experimental Adaptation of the Yellow Fever Virus to the Mosquito Aedes Albopictus and Potential Risk of Urban Epidemics in Brazil, South America. Sci. Rep. 2018, 8, 14337. [Google Scholar] [CrossRef]
  60. Couto-Lima, D.; Madec, Y.; Bersot, M.I.; Campos, S.S.; de Motta, M.A.; dos Santos, F.B.; Vazeille, M.; da Vasconcelos, P.F.C.; Lourenço-de-Oliveira, R.; Failloux, A.-B. Potential Risk of Re-Emergence of Urban Transmission of Yellow Fever Virus in Brazil Facilitated by Competent Aedes Populations. Sci. Rep. 2017, 7, 4848. [Google Scholar] [CrossRef] [PubMed]
  61. Gabiane, G.; Yen, P.S.; Failloux, A.B. Aedes Mosquitoes in the Emerging Threat of Urban Yellow Fever Transmission. Rev. Med. Virol. 2022, 32, e2333. [Google Scholar] [CrossRef]
  62. Gu, H.; Leung, R.; Jing, Q.; Zhang, W.; Yang, Z.; Lu, J.; Hao, Y.; Zhang, D. Meteorological Factors for Dengue Fever Control and Prevention in South China. Int. J. Environ. Res. Public Health 2016, 13, 867. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. de Custódio, J.M.O.; Nogueira, L.M.S.; Souza, D.A.; Fernandes, M.F.; Oshiro, E.T.; de Oliveira, E.F.; Piranda, E.M.; de Oliveira, A.G. Abiotic Factors and Population Dynamic of Aedes Aegypti and Aedes Albopictus in an Endemic Area of Dengue in Brazil. Rev. do Inst. de Med. Trop. de Sao Paulo 2019, 61, e18. [Google Scholar] [CrossRef]
  64. Da Cruz Ferreira, D.A.; Degener, C.M.; de Almeida Marques-Toledo, C.; Bendati, M.M.; Fetzer, L.O.; Teixeira, C.P.; Eiras, Á.E. Meteorological Variables and Mosquito Monitoring Are Good Predictors for Infestation Trends of Aedes Aegypti, the Vector of Dengue, Chikungunya and Zika. Parasites Vectors 2017, 10, 78. [Google Scholar] [CrossRef] [PubMed]
  65. Kramer, I.M.; Pfeiffer, M.; Steffens, O.; Schneider, F.; Gerger, V.; Phuyal, P.; Braun, M.; Magdeburg, A.; Ahrens, B.; Groneberg, D.A.; et al. The Ecophysiological Plasticity of Aedes Aegypti and Aedes Albopictus Concerning Overwintering in Cooler Ecoregions is Driven by Local Climate and Acclimation Capacity. Sci. Total Environ. 2021, 778, 146128. [Google Scholar] [CrossRef] [PubMed]
  66. Chouin-Carneiro, T.; Vega-Rua, A.; Vazeille, M.; Yebakima, A.; Girod, R.; Goindin, D.; Dupont-Rouzeyrol, M.; Lourenço-de-Oliveira, R.; Failloux, A.-B. Differential Susceptibilities of Aedes Aegypti and Aedes Albopictus from the Americas to Zika Virus. PLoS Negl. Trop. Dis. 2016, 10, e0004543. [Google Scholar] [CrossRef]
  67. Rezende, H.R.; Romano, C.M.; Claro, I.M.; Caleiro, G.S.; Sabino, E.C.; Felix, A.C.; Bissoli, J.; Hill, S.; Faria, N.R.; Cardoso da Silva, T.C.; et al. First Report of Aedes Albopictus Infected by Dengue and Zika Virus in a Rural Outbreak in Brazil. PLoS ONE 2020, 15, e0229847. [Google Scholar] [CrossRef] [PubMed]
  68. Unlu, I.; Faraji, A.; Indelicato, N.; McNelly, J.R. Do Tigers Hunt during the Day? Diel Activity of the Asian Tiger Mosquito, Aedes Albopictus (Diptera: Culicidae), in Urban and Suburban Habitats of North America. PLoS Negl. Trop. Dis. 2021, 15, e0009438. [Google Scholar] [CrossRef] [PubMed]
  69. Gratz, N.G. Critical Review of the Vector Status of Aedes Albopictus. Med. Vet. Entomol. 2004, 18, 215–227. [Google Scholar] [CrossRef] [PubMed]
  70. Hawley, W.A. The Biology of Aedes Albopictus. J. Am. Mosq. Control Assoc. Suppl. 1988, 1, 1–39. [Google Scholar]
  71. Monge, S.; García-Ortúzar, V.; López Hernández, B.; Lopaz Pérez, M.Á.; Delacour-Estrella, S.; Sánchez-Seco, M.P.P.; Fernández Martinez, B.; García San Miguel, L.; García-Fulgueiras, A.; Sierra Moros, M.J.J. Characterization of the First Autochthonous Dengue Outbreak in Spain (August–September 2018). Acta Trop. 2020, 205, 105402. [Google Scholar] [CrossRef] [PubMed]
  72. Laycock, T.; Ureña Paniego, C.; Javier, J. The Threat of Mosquito-Borne Arboviral Disease in Spain: A Bibliographic Review. Med. Clínica 2022, 158, 378–386. [Google Scholar] [CrossRef]
  73. Mariconti, M.; Obadia, T.; Mousson, L.; Malacrida, A.; Gasperi, G.; Failloux, A.-B.; Yen, P.-S. Estimating the Risk of Arbovirus Transmission in Southern Europe Using Vector Competence Data. Sci. Rep. 2019, 9, 17852. [Google Scholar] [CrossRef] [Green Version]
  74. Bellini, R.; Michaelakis, A.; Petrić, D.; Schaffner, F.; Alten, B.; Angelini, P.; Aranda, C.; Becker, N.; Carrieri, M.; di Luca, M.; et al. Practical Management Plan for Invasive Mosquito Species in Europe: I. Asian Tiger Mosquito (Aedes Albopictus). Travel Med. Infect. Dis. 2020, 35, 101691. [Google Scholar] [CrossRef]
  75. Barzon, L.; Gobbi, F.; Capelli, G.; Montarsi, F.; Martini, S.; Riccetti, S.; Sinigaglia, A.; Pacenti, M.; Pavan, G.; Rassu, M.; et al. Autochthonous Dengue Outbreak in Italy 2020: Clinical, Virological and Entomological Findings. J. Travel Med. 2021, 28, taab130. [Google Scholar] [CrossRef]
  76. Grandadam, M.; Caro, V.; Plumet, S.; Thiberge, J.M.; Souarès, Y.; Failloux, A.B.; Tolou, H.J.; Budelot, M.; Cosserat, D.; Leparc-Goffart, I.; et al. Chikungunya Virus, Southeastern France. Emerg. Infect. Dis. 2011, 17, 910–913. [Google Scholar] [CrossRef] [PubMed]
Tropicalmed 07 00246 g001 550
Figure 1. (A) State of Paraná with the approximate location of Morretes; (B) Municipality of Morretes, Paraná; (C) Collection points (1–23).
Figure 1. (A) State of Paraná with the approximate location of Morretes; (B) Municipality of Morretes, Paraná; (C) Collection points (1–23).
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Figure 2. Frequencies of Aedes aegypti and Aedes albopictus adults by sex identified from hatching eggs, September 2017 to September 2018, Morretes, Paraná, Brazil.
Figure 2. Frequencies of Aedes aegypti and Aedes albopictus adults by sex identified from hatching eggs, September 2017 to September 2018, Morretes, Paraná, Brazil.
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Figure 3. (A) Temporal and spatial distribution of Ae. aegypti identified from collected eggs; (B) Temporal and spatial distribution of Ae. albopictus identified from collected eggs; (C) Kernel map showing the occurrence of eggs collected in the 23 selected points, Morretes, Paraná, Brazil.
Figure 3. (A) Temporal and spatial distribution of Ae. aegypti identified from collected eggs; (B) Temporal and spatial distribution of Ae. albopictus identified from collected eggs; (C) Kernel map showing the occurrence of eggs collected in the 23 selected points, Morretes, Paraná, Brazil.
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Figure 4. Detection timeline of DENV cases on the coast of the state of Paraná, Brazil.
Figure 4. Detection timeline of DENV cases on the coast of the state of Paraná, Brazil.
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Figure 5. (A) Distribution of Ae. albopictus identified from eggs collected in ovitraps by month from September/2017 to September/2018 in Morretes, Paraná; (B) Distribution of Ae. aegypti identified from eggs collected in ovitraps by month from September/2017 to September/2018 in Morretes, Paraná. The vector direction concentration points out the mean peak oviposition date for each species. The longer the vector, the more concentrated the oviposition around the mean peak date.
Figure 5. (A) Distribution of Ae. albopictus identified from eggs collected in ovitraps by month from September/2017 to September/2018 in Morretes, Paraná; (B) Distribution of Ae. aegypti identified from eggs collected in ovitraps by month from September/2017 to September/2018 in Morretes, Paraná. The vector direction concentration points out the mean peak oviposition date for each species. The longer the vector, the more concentrated the oviposition around the mean peak date.
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Figure 6. Temporal variation monthly in the average temperature (A), average maximum temperatures (B), average rainfall (C), average relative humidity (D), average minimum relative humidity (E) in the region of Morretes, Paraná, Brazil. Only the periods of 2014–2015 and 2015–2016 differed from the others regarding the monthly average relative humidity (post-hoc pairwise comparison test; see text).
Figure 6. Temporal variation monthly in the average temperature (A), average maximum temperatures (B), average rainfall (C), average relative humidity (D), average minimum relative humidity (E) in the region of Morretes, Paraná, Brazil. Only the periods of 2014–2015 and 2015–2016 differed from the others regarding the monthly average relative humidity (post-hoc pairwise comparison test; see text).
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Figure 7. Effect of the average temperature (ß = 1.82 ± 0.42; z = 4.36; p < 0.001) on the number of hatched adults Aedes from eggs collected in ovitraps between September 2017 and September 2018, Morretes, Paraná, Brazil. The shaded areas are the 95% confidence intervals, and the gray points are the raw data.
Figure 7. Effect of the average temperature (ß = 1.82 ± 0.42; z = 4.36; p < 0.001) on the number of hatched adults Aedes from eggs collected in ovitraps between September 2017 and September 2018, Morretes, Paraná, Brazil. The shaded areas are the 95% confidence intervals, and the gray points are the raw data.
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Table
Table 1. Collections sites in the municipality of Morretes, September 2017 to September 2018, Paraná, Brazil.
Table 1. Collections sites in the municipality of Morretes, September 2017 to September 2018, Paraná, Brazil.
Collection Points Positive
Months1234567891011121314151617181920212223Total
Sep/17 + + + 3
Oct/17 + + + +++6
Nov/17 + ++ + +++ +8
Dec/17+ ++ ++ + + + ++10
Jan/18 +++ + + +++++ +11
Feb/18+ +++++ ++ + +++++++++18
Mar/18+++++++++++ + +++++ ++19
Apr/18 + ++ ++ +6
May/18 + + +++5
Jun/18 + 1
Jul/18 + + 2
Aug/18 0
Sep/18 + ++ + 4
Total34453323745040856442368Positives sites
Legend: + means positives sites.
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de Souza, S.J.P.; de Camargo Guaraldo, A.; Honório, N.A.; Câmara, D.C.P.; Sukow, N.M.; Machado, S.T.; Duarte dos Santos, C.N.; da Costa-Ribeiro, M.C.V. Spatial and Temporal Distribution of Aedes aegypti and Aedes albopictus Oviposition on the Coast of Paraná, Brazil, a Recent Area of Dengue Virus Transmission. Trop. Med. Infect. Dis. 2022, 7, 246. https://doi.org/10.3390/tropicalmed7090246

AMA Style

de Souza SJP, de Camargo Guaraldo A, Honório NA, Câmara DCP, Sukow NM, Machado ST, Duarte dos Santos CN, da Costa-Ribeiro MCV. Spatial and Temporal Distribution of Aedes aegypti and Aedes albopictus Oviposition on the Coast of Paraná, Brazil, a Recent Area of Dengue Virus Transmission. Tropical Medicine and Infectious Disease. 2022; 7(9):246. https://doi.org/10.3390/tropicalmed7090246

Chicago/Turabian Style

de Souza, Silvia Jaqueline Pereira, André de Camargo Guaraldo, Nildimar Alves Honório, Daniel Cardoso Portela Câmara, Natali Mary Sukow, Sarita Terezinha Machado, Claudia Nunes Duarte dos Santos, and Magda Clara Vieira da Costa-Ribeiro. 2022. "Spatial and Temporal Distribution of Aedes aegypti and Aedes albopictus Oviposition on the Coast of Paraná, Brazil, a Recent Area of Dengue Virus Transmission" Tropical Medicine and Infectious Disease 7, no. 9: 246. https://doi.org/10.3390/tropicalmed7090246

APA Style

de Souza, S. J. P., de Camargo Guaraldo, A., Honório, N. A., Câmara, D. C. P., Sukow, N. M., Machado, S. T., Duarte dos Santos, C. N., & da Costa-Ribeiro, M. C. V. (2022). Spatial and Temporal Distribution of Aedes aegypti and Aedes albopictus Oviposition on the Coast of Paraná, Brazil, a Recent Area of Dengue Virus Transmission. Tropical Medicine and Infectious Disease, 7(9), 246. https://doi.org/10.3390/tropicalmed7090246

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