ABSTRACT
Background:
Egg collection traps have been studied to assist in the integrated control of arbovirus vectors. Many enhancements have been made over the years.
Methods:
This study evaluated the use of a hydrated superabsorbent polymer (SAP) in the egg collection of Aedes aegypti and Aedes albopictus in ovitraps. An experiment was conducted in the laboratory to determine the minimum concentration of the product to be used in traps in the field to prevent the development of larvae into adults. In the field, the use of polymers has been evaluated using a traditional model of ovitraps. The positive ovitrap index and mean number of eggs per trap indicator were calculated.
Results:
In the laboratory, the larvae did not successfully develop to the adult stage, even at the lowest SAP concentration. In the field, the results showed that ovitraps with SAP proved to be effective for egg collection from both species. It was possible to identify sites with the highest concentration of species and expose the ovitraps for a longer period without larval development.
Conclusions:
There is a need for studies on the adequacy of this technology for control programs. However, the results showed that ovitraps with hydrogel were potentiated to capture eggs, configuring themselves as another tool for vector control.
Keywords: Mosquito trap, Chikungunya, Dengue, Zika, Yellow fever, Hydrogel
INTRODUCTION
Arboviruses are currently a major and growing public health problem worldwide; dengue, Zika, and chikungunya have afflicted many tropical and subtropical countries with an increasing number of cases. These increases have occurred due to the spread of infestation by Aedes (Stegomyia) aegypti and Aedes (Stegomyia) albopictus in recent decades 1 - 4 . These species originate from wild areas and adapt to urban environments, where they have developed successfully, especially in artificial containers 5 , 6 .
Research on alternative control methods has helped reduce the use of insecticides and contribute to eco-friendly control practices. Thus, traps for the collection of Stegomyia eggs and adults have been studied and applied to detect the presence, evaluate density, and assist in the control of Ae. aegypti and Ae. albopictus 7 - 14 . These traps have been used to indicate the onset of infestation and estimate the population density of mosquitoes in the investigated space and time, in addition to being applied to monitor the impact of control measures 15 - 20 .
It is customary to add oviposition attractants to enhance productivity 16 , 21 . Other resources have been added to ovitraps, such as insecticides, microbial larvicides, pheromones, entomopathogenic fungi, and yeast ribonucleic acid (RNA) interference, to hinder the development of immature stages of vector mosquitoes 10 , 22 - 29 .
In light of the growing worldwide interest in superabsorbent polymers, scientists have noted that superabsorbent polymers (SAP) could be a new method of vector management 30 . Thus, studying the addition of SAP to ovitraps could serve as an additional tool in operational mosquito control. Therefore, this study evaluated the use of a hydrated superabsorbent polymer in the egg collection of Ae. aegypti and Ae. albopictus in ovitraps.
METHODS
1st Phase: Laboratory experiment
Prior to the field experiment, laboratory tests were performed to determine the SAP concentration for use in the field experiment.
The SAP used in this study were applied for agricultural purposes. The product consists of poly (potassium acrylate-co-acrylamide) from polyacrylonitrile (PAN) with high resistance to ultraviolet radiation (UV) degradation and biodegradability, according to the Organization for Economic Cooperation and Development (OECD) Guideline for Testing of Chemicals, item 301B, 1992 31 .
The study was conducted in an insectarium (28 °C ± 2 °C environment; 12 L:12 D photoperiod; 25.5 °C larvae rearing water) and 87% relative humidity (RH) from November to December 2019. The tested doses were determined in a pilot study. Five SAP concentrations were tested (2.5, 5.0, 7.5, 10.0, and 12.5 mg/mL). For this purpose, L2 larvae of Ae. aegypti were used from eggs collected in the field in the city of São Sebastião, located on the northern coast of São Paulo state, Brazil (23° 45′ 40″ S, 45° 24′ 44″ W). The eggs were immersed in plastic trays containing tap water and decanted for 24hours at a density of 1 egg/10 mL. The water contained TetraMin® feed for tropical fish at a concentration of 0.2 mg/egg (adapted from Gerberg 1994) 32 as a stimulus for hatching and larval feeding.
Approximately 40 hours after egg immersion, the hatched larvae were pipetted and transferred in groups of seven individuals to 50 mL white plastic cups supplemented with 10 mL of water, with 30 replicates prepared for each SAP concentration and for the control. Labeled transparent plastic cups (250 mL) were used, in which 200 mL of water and TetraMin® were fed per experimental unit, according to the concentration previously described 32 . We added food exclusively on day 0 of the experiment, since the larvae could not be handled because of the use of the gel, after which the SAP dose to be tested was added. Fifteen minutes after the beginning of the experiment, five L2 larvae were placed equidistantly in each cup for each of the 30 replicates of the five evaluated concentrations. For the control larvae, only decanted water and the previously mentioned amount of feed were used.
At the same time, each day, the larvae inside the cup were inspected by two laboratory technicians using a stereoscopic microscope, and larval stage and mortality were recorded. The reading followed a system of checking by a laboratory technician rotation, in which the material read by one of the technicians on one day was read the next day by the other technician. This process continued until the end of the experiment, when 100% mortality of the larvae in all cups was achieved.
2nd Phase: Field experiment
Study area
The field study was conducted in a part of the urban area of São Sebastião from January to August 2020 (Figure 1). The climate is tropical and rainy, with a mean rainfall below 60 mm in the driest months and a mean annual temperature above 30 °C in the warmer months, and not below 18 °C in the coldest months 33 . The region has a high rate of infestation by Ae. aegypti and Ae. albopictus for more than 20 years 34 , and has experienced annual epidemics of dengue and, more recently, the circulation of Zika and chikungunya viruses.
FIGURE 1: Green: delimitation of the study area. Red: points where traps were installed. São Sebastião, São Paulo state, Brazil.

Trap description
Traps called ovitraps were used for egg collection in the field, which consist of a black plastic material (10.5 cm in diameter and 15 cm in height) with removable pressed wooden paddles filled with 495 mL of tap water, and 1 mL of beer yeast solution (0.04%) was added to increase attractiveness and stimulate egg deposition by females 20 , 35 - 36 .
Experimental design
Owing to the time of exposure of the trap in the field, the gel concentration adopted was 15 mg/mL water, slightly above the maximum concentration of the product evaluated in the 1st phase of the laboratory experiment.
1 st - Hydrogel ovitrap (OH): In addition to water and beer yeast solution (0.04%), SAP (7.5 g) was added to the solution (15 mg/mL). The product was mixed in water with a spatula until total hydration and hydrogel formation (Figure 2a-h), and a pressed wooden paddle was used as a substrate for oviposition. The trap was kept in the field for 5 days as a traditional ovitrap.
FIGURE 2: Preparation and installation of traps with gel in the field. The product was mixed in water with a spatula until total hydration and hydrogel formation (a-g): installed in a protected site (h): frontal view and top view of the OH (Hydrogel Ovitrap) and OG (Gel Ovitrap) (i-j).

2 nd - Gel ovitrap (OG): The purpose of this trap was to evaluate the performance of the gel under the longest exposure time. The SAP preparation was the same as that described above, without adding attractive or pressed wooden paddles, and the trap was kept in the field for periods ranging from 15 to 38 days.
Fifty traps of each type were installed in a part of the urban area of São Sebastião and in previously selected properties, 50 traps of each type were installed (N = 100). Properties that were frequently positive for Aedes spp. during the routine activities of the municipal vector control program were selected, including households and commercial buildings. At each point, properly prepared traps were fixed on or near the walls of the buildings in places protected from rain and at a height of 1.0 to 1.5 meters, with at least 50 m between traps. The traps were installed after the study objectives were clearly explained to the property owners and residents and they agreed to the installation.
Collection, reading and storage of eggs and larvae
Routine collection of OHs and OGs was previously determined in a pilot study. After the exposure period of each trap type, they were removed, replaced with new ones, and taken to the laboratory, where the gel was inspected while still inside the trap (Figure S1a-b). Eggs and live larvae were removed from the gel by suction with plastic pipettes and transferred to a cup with 200 mL of water with feed, where they remained until they reached the fourth larval stage, at which point they were sacrificed and identified to the species level (Figure S1c-f).
During the pilot study, it was observed that the SAP could be reused because of its ability to dehydrate and rehydrate several times. Therefore, after removing eggs, larvae, and residues from the traps, the gel was rehydrated for subsequent trap reinstallation, a procedure that was repeated for each collection until the end of the study.
OHs were collected in the summer, from February to April, and in winter, from June to August. OGs were exposed from January to August 2020. The hydrogel volume was visually evaluated and categorized according to the following percentages: <10%, 11-20%, 21-50%, and >50% after the exposure time.
All eggs were immersed in water and maintained with TetraMin® tropical fish feed 32 . Larval development was monitored until the fourth stage when the animals were sacrificed and identified.
Weather and location data
Daily weather data were obtained from the Meteorological Database of the National Institute of Meteorology of the Ministry of Agriculture, Livestock, and Supply of Brazil, collected at the São Sebastião Station, São Paulo, Brazil 37 . The geographic position of each trap was determined by georeferencing each point using a portable global positioning system (Garmin©).
Data analysis
Nonparametric tests were used in most analyses. Statistica© 12 and R software were used 38 , 39 . In phase 1 of the experiment, the Kruskal-Wallis test was used to compare the time to death of Ae. aegypti larvae at different SAP concentrations, followed by the Dwass-Steel-Critchlow-Fligner (DSCF) test (α = 0.05).
In phase 2 of the experiment, Aedes (Stegomyia) infestation was measured using two indicators: the ovitrap positivity index (POI), which is the ratio of positive traps to installed traps, and the mean number of eggs per trap (MET), which is the ratio of the number of eggs collected to the number of positive traps. In the analysis of these indicators, the Mann-Whitney test was used for each trap type (α = 0.05).
Modeling was performed step-by-step to obtain the models and covariates that best explained the mean eggs per trap type, as well as egg positivity in the OHs. In the first model, the response variable was the arithmetic mean of eggs per day of trap collection, and the covariates were average temperature, rainfall, minimum temperature, maximum temperature, and humidity. Modeling was performed using the GAMMA distribution. The other model is trap positivity. In this model, the response variable was the number of positive traps per day of collection divided by the total number of traps examined using the BINOMIAL distribution, and the covariates were the average temperature, number of eggs, rainfall, maximum temperature, minimum temperature, and humidity. In the modeling process, the class of generalized additive models for location scale and shape (GAMLSS) was used, which was implemented in R by Rigby & Stasinopoulos 40 . For the selection of the final model, the Akaike information criterion 41 was used, combined with the likelihood ratio test (LRT) and chi-square test for statistical significance values. The goodness-of-fit of the final model was verified by fitting the worm plot and randomness of the residuals according to the Shapiro-Wilk test (α = 0.05).
To evaluate the spatial distribution of the positivity of the two trap types, kernel density curves were plotted for Ae. aegypti and Ae. albopictus using Quantum GIS (QGIS) 3.16.5 42 .
RESULTS
In the 1st phase, laboratory experiment, there was a significant difference in larval mortality time (H = 92.52; p = 0.000), except in the comparisons between the 5.0 mg and 7.5 mg (p = 1.000), 7.5 mg/mL and 10.0 mg (p = 0.170), and 10.0 mg and 12.5 mg concentrations (p = 1.000). Overall, the larvae took a longer time to die at the 12.5 mg concentration and a shorter time to die at the 2.5 mg concentration (Figure 3a). The control group had no mortality and reached the adult phase in five days, on average (50% male and 50% female).
FIGURE 3: Comparison of exposure time until death of Ae. aegypti larvae at the different SAP concentrations tested in the laboratory. Kruskall Wallis test and Dwass-Steel-Critchlow-Fligner test were used (a): Monthly mean eggs per trap (MET) distribution according to trap type (b): Monthly positive ovitrap index (POI) distribution according to trap type (c): for both Mann-Whitney test was used.

Figure S2a shows that there was an increasing trend in L2 and L3 mortality as the SAP concentration increased and in L4 mortality when the SAP concentration was reduced. Overall, there was an increasing trend in mortality at all tested concentrations up to 15 days of exposure, at which point 100.0% was reached. After day 15, few larvae survived until day 30 (Figure. S2b). The emergence, followed by death, of a single adult female mosquito was observed at the lowest concentration (2.5 mg).
In the 2nd phase, field experiment, the positivity data of the ovitraps are shown in Table 1. During the study period, 1,625 traps were installed and collected:1,250 OHs and 375 OGs. Of the traps installed, 572 (35.2%) were positive for Stegomyia eggs. The species Ae. aegypti and Ae. albopictus specimens were collected from the two trap types. Of the traps containing eggs, 86.4% had Ae. aegypti, 5.3% had Ae. albopictus, and 6.3% of both species. It is worth mentioning that there was a loss of 25 OG traps throughout the study.
TABLE 1: Descriptive analysis of the positivity (POI) and egg density (MET) of Ae. aegypti and Ae. albopictus by trap type.
| OH Trap | OG Trap | TOTAL | ||
|---|---|---|---|---|
| Traps collected | N | 1,250 | 375* | 1,625 |
| Total Stegomyia eggs | N | 14,410 | 10,805 | 25,215 |
| Traps positive for Stegomyia | N | 362 | 210 | 572 |
| Stegomyia Positivity | POI | 29.0 | 56.0 | 35.2 |
| Confiacce Interval | CI | (26.5 - 31.5) | (50.9 - 60.9) | ( 32.9-37.6) |
| Mean number of Stegomyia eggs | MET | 39.8 | 51.5 | 44.1 |
| Confiacce Interval | CI | (34.7 - 45) | (41.0 - 61.1) | (39.1- 48.9) |
| Traps with identified species | N | 299 | 149 | 437 |
| Traps with Ae. aegypti | N | 281 | 124 | 405 |
| POI | 94.0 | 83.2 | 92.7 | |
| Traps with Ae. albopictus | N | 9 | 5 | 14 |
| POI | 3.0 | 3.4 | 3.2 | |
| Traps with Ae. aegypti + Ae. albopictus | N | 9 | 20 | 29 |
| POI | 3.0 | 13.4 | 6.7 | |
| Total Ae. aegypti eggs | N | 8,411 | 4,182 | 12,593 |
| Total Ae. albopictus eggs | N | 194 | 344 | 538 |
N: number. *25 traps were lost throughout the study.
Overall, the highest POI (56.0%) and MET (51.5%) were observed in the OGs, although the confidence intervals indicated that MET was similar. The highest POI for Ae. aegypti were found in OHs (94.0%).
In the evaluation of the monthly distribution of POIs and METs, no significant difference was observed between the trap types (Figure 3 b e c ).
Rainfall had the greatest influence on the mean number of eggs in the OHs in the initial and final models, followed by the minimum temperature, which was preserved in the final model. Rainfall was negatively correlated with the mean number of eggs, while the minimum temperature was positively correlated (Table S1).
The positivity for OHs was significantly associated with the number of eggs in the initial model; however, it showed a low explanatory contribution (exp(0.0011340) = 1.001135). In the final model, this variable, although interacting with mean temperature, showed little explanatory contribution. Similar behavior was observed for rainfall, which showed an explanatory contribution of approximately 4.7% (Table S2).
In the final model, the number of variables that contributed significantly was higher than that in the model for OHs. The absence of the contribution of humidity in the final model is notable, as is the inclusion of the mean temperature, which in the initial model had a negative value and an odds ratio (OR) = 1.9 in the final model, although the lower confidence interval value was close to zero (Table S2). All the models were adequately fitted (Figure S3).
Analysis of the spatial distribution of POIs of OHs and OGs revealed that Ae. aegypti exhibited the highest number of clusters (Figure 4a). Figure 4b shows the distribution of the intensity of Ae. aegypti egg infestations recorded in the two tested trap types. These cluster points are coincident and differ in their degrees of intensity. To the north of the study area, there were intense cluster points of the species in the OGs, whereas the hottest spots of the OHs and OGs were in the south. In both locations, OGs had the most intense hotspots. The spatial distribution of Ae. albopictus eggs revealed that the estimated density was significantly higher in the two trap types in the south of the study area, and that the OGs had more hotspots than the other trap types tested (Figure 4c).
FIGURE 4: Distribution of trap installation points. Ae. aegypti and Ae. albopictus clusters (A): Spatial distribution of hotspots of Ae. aegypti collected in the two trap types (B): Spatial distribution of Ae. albopictus hotpots in the OH (Hydrogel Ovitrap) and OG (Gel Ovitrap) (C): City of São Sebastião, São Paulo, January to August 2020.

The hydrogel remained moist in all the samples at gel concentrations above 10%. At concentrations >50%, larval hatching was observed, as evidenced by broken eggs, although no exuviae were observed.
Representative images of the gel volumes of the OHs and OGs are shown in Figure S4. In the OHs over the five days of trap exposure, partial reductions in the gel volume and stick moisture (a1-a5) were observed. In the OGs with exposure times of 15-38 days, there was a marked reduction in the gel volume, reaching total dehydration in some cases with longer exposure times (b1-b5). Inspection of the traps revealed that, in the OHs (Figure S5a-d) and OGs (Figure S1c-f and Figure S5e-k), eggs were deposited directly on the gel.
DISCUSSION
Given the constant search for better sustainable measures for the control of arbovirus vectors 7 - 29 , the present study provides important information on the use of SAP in ovitraps. The addition of hydrated SAP to the traditional ovitrap proved operationally efficient. The use of gel was found to be an impediment to the complete and successful development of Ae. aegypti and Ae. albopictus. The results presented here add another tool for the control of urban arbovirus vectors. They allow the ovitrap to stay longer in the field, increasing capture time without larval development.
The use of hydrogel in the trap confirmed the presence of two species, Ae. aegypti and Ae. albopictus 34 . The large number of eggs deposited on the gel of the OH and OG traps demonstrated that the hydrated SAP stimulated the deposition of eggs directly on the hydrogel (Figure S5). Barrera et al. (2013) 12 showed that the Ae. aegypti readily deposited eggs on a polyacrylamide (PAM) hydrated gel with hay infusion and water.
The egg positivity for Ae. aegypti and Ae. albopictus observed in both types of traps supports the claim that the use of hydrated SAP in traps is efficient for the detection of both species 20 .
We believe that the gel did not exert its greatest attractiveness and stimulation effects on females in OH after five days in the field, which is a limitation of the present study. The OGs showed proportionally higher egg density, although they did not receive the attractant, which is explained by the fact that the water was “encapsulated” in the SAP particles, which possibly compromised the release of the attractant in OH, as more is released when in liquid form due to the fermentation of the attractant in traditional ovitraps. Conversely, the OGs showed a proportionally higher egg density, although they did not receive the attractant, likely because they remained exposed for a greater number of days between collections. This result shows that it is possible to increase trap productivity by adding the gel. The use of this product in egg traps allows the adoption of a period of exposure longer than the conventional period without the risk of egg hatching and cycle development.
Even when using a volume of 500 mL of water was used for hydration of the gel in the traps, the exposure of the OGs for more than four weeks did not affect the humidity of the hydrogel, given that the volume remained above 10.0% in most traps and the females continued to lay their eggs. Barrera et al. (2013) 12 found no variation in the number of eggs between 40% and 100% gel hydration. Changes in the oviposition behavior of Ae. aegypti were reported in other studies, where egg deposition directly on water was suggested to be related to climatic factors, especially when the substrate moisture was below approximately 50.0% 43 , 44 .
Regression models represent the possibility of evaluating isolated indices or models with explanatory variables, especially climatic variables 14 . In the present study, rainfall and minimum temperatures contributed to explaining the mean number of eggs in the final model for OH. Rainfall contributed negatively, whereas minimum temperatures contributed positively. Regarding the model for positivity, the variable number of eggs, without interaction, had the greatest positive contribution to explaining the positivity of the OH traps. This variable contributed positively to the model as an isolated variable and negatively when interacting with minimum temperature. Tropical countries generally experience high temperatures, humidity, and rainfall throughout the year, especially in coastal areas. Thus, it was possible to deduce that in the final model, in the occurrence of interactions with low explanatory contributions, there were changes in parameter values. This demonstrates the need to improve models to establish associations between climatic variables and oviposition indicators, particularly in countries such as Brazil.
Larval hatching was observed in traps with concentrations above 50.0%, as evidenced by the presence of broken eggs on the gel. However, in this situation, no exuviae from dead or newly hatched larvae were found, indicating an unsuitable environment for larval development, which greatly reinforces the possibility of using hydrated SAP as a vector control. Barrera et al. (2013) 12 also observed that all larvae died when desiccated on the PAM gel shortly after hatching. The authors suggested that this gel could serve as an autocidal oviposition substrate for Ae. aegypti if used in ovitraps, independent of the adult trap type, which is what they used.
Because of the positivity and density of eggs in the traps, we can say that the inclusion of hydrated SAP in the traps for oviposition of Aedes (Stegomyia) females was efficient in detecting Ae. aegypti and Ae. albopictus, as well as sites with higher densities. The replacement of water by hydrogel allowed for a longer exposure time of the trap in the field without larval development. This technology could be of great value as an additional complementary tool for surveillance and vector control. Nevertheless, more studies are needed to evaluate the impact of this technology on the vector population and financial costs, in addition to the size and number of traps required per area.
ACKNOWLEDGMENTS
The field and laboratory staff (Cassiano Barbosa, Francisco Carlos dos Santos, Antonio Waldomiro de Oliveira, Rubens Fernandes da Silva; Juliana Ferreira Cardoso, Luiz Milton Bonafé and Luiz Felipe dos Santos Salvador. To the Granado Institute of Polyacrylonitrile Technology for the training grant.
SUPPLEMENTARY MATERIAL.
SUPPLEMENTARY FIGURE 1: Inspection of the gel in the OHs and OGs under a stereoscopic microscope (a-b): collection of eggs and larvae with a pipette (c-d,f): Egg laid over the gel (e).

SUPPLEMENTARY MATERIAL.
SUPPLEMENTARY FIGURE 2: Percent mortality per larval stage for each Superabsorbent Polymer (SAP) concentration (a): Overall percent larval mortality according to the SAP concentration and number of elapsed experimental days (b): L2, L3, L4: larval stages.

SUPPLEMENTARY MATERIAL.
SUPPLEMENTARY FIGURE 3: Distribution of the residuals in the worm plot as a function of the analysis of mean eggs (A): and positivity (B): of the Hydrogel Ovitrap (OH) trap.

SUPPLEMENTARY MATERIAL.
SUPPLEMENTARY FIGURE 4: Top view of the ovitrap OH (a): and OG (b): Aspects of hydrated SAP in the OHs (a1- a5) and OGs (b1- b5) after exposure in the field.

SUPPLEMENTARY MATERIAL.
SUPPLEMENTARY FIGURE 5: Examination of traps for collecting eggs trapped in hydrogel. Hydrogel Ovitraps-OH (a-d): Eggs that were deposited directly on the gel despite the presence of the wooden paddle. Gel Ovitraps-OGs (e-k): Whole eggs, despite the gel being quite dehydrated due to exposure time. Eggs broken and trapped in the gel, with no live larvae present.

SUPPLEMENTARY MATERIAL.
SUPPLEMENTARY TABLE 1: Estimates of parameters regarding the mean number of Aedes eggs in hydrogel vitraps (OHs) as a function of climatic variables.
| Parameter | Estimate | Standard error | t value | p value | |||
|---|---|---|---|---|---|---|---|
| Intercept | 2.41965 | 8.98473 | 0.269 | 0.7908 | |||
| Mean temperature | -1.60666 | 1.23854 | -1.297 | 0.2109 | |||
| Rainfall | -0.11696 | 0.04122 | -2.837 | 0.0109 * | |||
| Maximum temperature | 0.7322 | 0.51586 | 1.538 | 0.1415 | |||
| Minimum temperature | 0.87862 | 0.65210 | 1.347 | 0.1946 | |||
| Humidity | -0.03087 | 0.09262 | -1.333 | 0.7428 | |||
| Initial model: AIC = 173.51 [Mean eggs ~ Mean T + Rainfall + Max T + Min T + Humidity] | |||||||
| R2 = 0.37 | |||||||
| Residuals: Shapiro-Wilk W = 0.8722; p value = 0.0048 | |||||||
| Final model: AIC = 170.23 [Mean eggs ~ Min T + Rainfall] | |||||||
| R2 = 0.29 | |||||||
| Residuals: Shapiro-Wilk W = 0.9374; p value = 0.1291 | |||||||
| Variables that contributed most to the final model | |||||||
| DF | AIC | LRT | Pr (Chi) | ||||
| 170.23 | |||||||
| Minimum temperature | 1 | 172.21 | 3.9813 | 0.046008* | |||
| Rainfall | 1 | 175.93 | 7.6961 | 0.005534** | |||
| Statistical significance | 0 ‘***’ | 0.001 ‘**’ | 0.01 ‘*’ | ‘.’ 0.1 | |||
DF: degrees of freedom; AIC: Akaike information criterion; LRT: likelihood ratio test; Pr(chi): probability(chi-square).
SUPPLEMENTARY MATERIAL.
SUPPLEMENTARY TABLE 2: Estimation of the positivity parameters for the number of Aedes eggs in Hydrogel Ovitraps (OHs) as a function of climatic variables.
| Parameter | Estimate | Standard error | t value | p value | |
|---|---|---|---|---|---|
| Intercept | -3.1347479 | 2.9433094 | -1.065 | 0.301 | |
| Mean temperature | 0.2679809 | 0.4639732 | 0.578 | 0.571 | |
| Number of eggs | 0.0011340 | 0.0001516 | 7.480 | 6.3e-07 *** | |
| Rainfall | -0.0375834 | 0.0235392 | -1.597 | 0.128 | |
| Maximum temperature | -0.0906159 | 0.1982585 | -0.457 | 0.653 | |
| Minimum temperature | -0.2496704 | 0.2450850 | -1.019 | 0.322 | |
| Humidity | 0.0323086 | 0.0309952 | 1.042 | 0.311 | |
| Initial model: AIC = 149.3494 - [Rainfall ~ Mean T + Number of eggs + Rainfall + Max T + Min T + Humidity] | |||||
| R2 = 0.998 | |||||
| Residuals: Shapiro-Wilk W = 0.97041; p value = 0.6555 | |||||
| Final model: AIC 135.41 [Positivity ~ Mean T + Number of eggs + Rainfall + Mean T: Number of eggs] | |||||
| R2 = 0.998 | |||||
| Residuals: Shapiro-Wilk W = 0.98201; p value = 0.9219 | |||||
| Variables that contributed most to the final model | |||||
| DF | AIC | LRT | Pr (Chi) | ||
| 135.84 | |||||
| Rainfall | 1 | 140.44 | 6.5987 | 0.0102053 * | |
| Mean T: Number of eggs | 1 | 148.07 | 14.2330 | 0.000162 *** | |
| OR | ICI | ICS | |||
| Intercept | 0.21626 | 0.07334 | 0.63766 | ||
| Mean temperature | 0.99497 | 0.93875 | 1.05455 | ||
| Number of eggs | 1.00516 | 1.00490 | 1.00542 | ||
| Rainfall | 0.95269 | 0.91668 | 0.99012 | ||
| Mean T: Number of eggs | 0.99982 | 0.99978 | 0.99985 | ||
| Statistical significance | 0 ‘***’ | 0.001 ‘**’ | 0.01 ‘*’ | ‘.’ 0.1 | |
DF: degrees of freedom; AIC: Akaike information criterion; LRT: likelihood ratio test; Pr(chi): probability(chi-square); OR odds ratio; ICI: lower confidence interval; ICS: upper confidence interval.
Footnotes
Financial Support: This study was funded by the Instituto Pasteur, Coordenadoria de Controle de Doenças da Secretaria de Estado da Saúde de São Paulo.
REFERENCES
- 1.Kraemer MUG, Sinka ME, Duda KA, Mylne AQN, Shearer FM, Barker CM, et al. The global distribution of the arbovirus vectors Aedes aegypti and Aedes albopictus. eLife. 2015;4:e08347. doi: 10.7554/eLife.08347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Donalísio MR, Freitas ARR, Von Zuben APB. Arboviroses emergentes no Brasil: desafios para a clínica e implicações para a saúde pública. Rev Saude Publica. 2017;51(30):1–6. doi: 10.1590/S1518-8787.2017051006889. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Marchi S, Trombetta CM, Montomoli E. In: Public health emerging and re-emerging issues. Majumder MAA, Kabir R, Rahman S, editors. Vol. 1. London: IntechOpen; 2018. Emerging and re-emerging arboviral diseases as a global health problem; pp. 25–46. [Google Scholar]
- 4.Kraemer MUG, Reiner RC, Jr, Brady OJ, Messina JP, Gilbert M, Pigott DM, et al. Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019;4(5):854–863. doi: 10.1038/s41564-019-0376-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Forattini OP. Culicidologia Médica: Identificação, biologia, epidemiologia. 2nd ed. São Paulo: Edusp; 2002. 864 p [Google Scholar]
- 6.Brito M, Forattini OP. Produtividade de criadouros de Aedes albopictus no Vale do Paraíba, SP, Brasil. Rev Saude Publica. 2004;38(2):209–215. doi: 10.1590/s0034-89102004000200009. [DOI] [PubMed] [Google Scholar]
- 7.Reiter P, Amador MA, Colon N. Enhancement of the CDC ovitrap with hay infusions for daily monitoring of Aedes aegypti populations. J Am Mosq Control Assoc. 1991;7(1):52–55. [PubMed] [Google Scholar]
- 8.Donatti JE, Gomes AC. Adultrap: descrição de armadilha para adultos de Aedes aegypti (Diptera, Culicidae) Rev Bras Entomol. 2007;51(2):255–256. [Google Scholar]
- 9.Silva KR, Silva WR, Silva BP, Arcos AN, Ferreira FAS, Soares-da-Silva J, et al. New traps for the capture of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) (Diptera: Culicidae) eggs and adults. PLoS Negl Trop Dis. 2021;15(4):e0008813. doi: 10.1371/journal.pntd.0008813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Regis L, Monteiro AM, Melo-Santos MAV, Silveira JC, Furtado AF, Acioli RV, et al. Developing new approaches for detecting and preventing Aedes aegypti population outbreaks: basis for surveillance, alert, and control system. Mem Inst Oswaldo Cruz. 2008;103(1):50–59. doi: 10.1590/s0074-02762008000100008. [DOI] [PubMed] [Google Scholar]
- 11.Maciel-de-Freitas R, Peres RC, Alves F, Brandolini MB. Mosquito traps designed to capture Aedes aegypti (Diptera: Culicidae) females: preliminary comparison of Adultrap, MosquiTRAP and backpack aspirator efficiency in a dengue-endemic area of Brazil. Mem Inst Oswaldo Cruz. 2008;103(6):602–605. doi: 10.1590/s0074-02762008000600016. [DOI] [PubMed] [Google Scholar]
- 12.Barrera R, Mackay AJ, Amador M. A novel autocidal ovitrap for the surveillance and control of Aedes aegypti. J Am Mosq Control Assoc. 2013;29(3):293–296. doi: 10.2987/13-6345R.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Mackay AJ, Amador M, Barrera R. An improved autocidal gravid ovitrap for the control and surveillance of Aedes aegypti. Parasit Vectors. 2013;6(1):225–225. doi: 10.1186/1756-3305-6-225. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Codeço CT, Lima AWS, Araújo SC, Lima JBP, Maciel-de-Freitas R, Honório NA, et al. Surveillance of Aedes aegypti: Comparison of house index with four alternative traps. PLoS Negl Trop Dis. 2015;9(2):e0003475. doi: 10.1371/journal.pntd.0003475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Degener CM, Ázara TMF, Roque RA, Rösner S, Rocha ESO, Kroon EG, et al. Mass trapping with MosquiTRAPs does not reduce Aedes aegypti abundance. Mem Inst Oswaldo Cruz. 2015;110(4):517–527. doi: 10.1590/0074-02760140374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Fay RW, Eliason DA. A preferred oviposition site as a surveillance method for Aedes aegypti. Mosq News. 1966;26(4):531–535. [Google Scholar]
- 17.Marques CCA, Marques GRAM, Brito M, Santos LG, Neto, Ishibashi VC, Gomes AC. Comparative study of the efficiency of larval and ovitraps for the surveillance of dengue and yellow fever vectors. Rev Saude Publica. 1993;27(4):237–241. doi: 10.1590/s0034-89101993000400002. [DOI] [PubMed] [Google Scholar]
- 18.World Health Organization (WHO) A review of entomological sampling methods and indicators for dengue vectors. Special Programme for Research and Training in Tropical Diseases. Geneva: WHO; 2004. 38 p [Google Scholar]
- 19.Dibo MR, Chiaravalloti-Neto F, Battigaglia M, Mondini A, Favaro EA, Barbosa AAC, et al. Identification of the best ovitrap installation sites for gravid Aedes (Stegomyia) aegypti in residences in Mirassol, state of São Paulo, Brazil. Mem Inst Oswaldo Cruz. 2005;100(4):339–343. doi: 10.1590/s0074-02762005000400001. [DOI] [PubMed] [Google Scholar]
- 20.Serpa LLN, Marques GRAM, de Lima AP, Voltolini JC, Arduino MB, Barbosa GL, et al. Study of the distribution and abundance of the eggs of Aedes aegypti and Aedes albopictus according to the habitat and meteorological variables, municipality of São Sebastião, São Paulo State, Brazil. Parasit Vectors. 2013;6(1):321–321. doi: 10.1186/1756-3305-6-321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Fay RW, Perry AS. Laboratory Studies of Ovipositional Preferences of Aedes aegypti. Mosq News. 1965;25(3):276–281. [Google Scholar]
- 22.Johnson BJ, Ritchie SA, Fonseca DM. The State of the Art of Lethal Oviposition Trap-Based Mass Interventions for Arboviral Control. Insects. 2017;8(1):5–5. doi: 10.3390/insects8010005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Perich MJ, Kardec A, Braga IA, Portal IF, Burge R, Zeichner BC, et al. Field evaluation of a lethal ovitrap against dengue vectors in Brazil. Med Vet Entomol. 2003;17(2):205–210. doi: 10.1046/j.1365-2915.2003.00427.x. [DOI] [PubMed] [Google Scholar]
- 24.Sithiprasasna R, Mahapibul P, Noigamol C, Perich MJ, Zeichner BC, Burge B, et al. Field evaluation of a lethal ovitrap for the control of Aedes aegypti (Diptera: Culicidae) in Thailand. J Med Entomol. 2003;40(4):455–462. doi: 10.1603/0022-2585-40.4.455. [DOI] [PubMed] [Google Scholar]
- 25.Depoli PAC, Zequi JAC, Nascimento KLC, Lopes J. Eficácia de ovitrampas com diferentes atrativos na vigilância e controle de Aedes. Entomo Brasilis. 2016;9(1):51–54. [Google Scholar]
- 26.Flacio E, Engeler L, Tonolla M, Lüthy P, Patochi N. Strategies of a thirteen-year surveillance programme on Aedes albopictus (Stegomyia albopicta) in southern Switzerland. Parasit Vectors. 2015;8:208–208. doi: 10.1186/s13071-015-0793-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Buckner EA, Williams KF, Ramirez S, Darrisaw C, Carrillo JM, Latham MD, et al. A Field Efficacy Evaluation of In2Care Mosquito Traps in Comparison with Routine Integrated Vector Management at Reducing Aedes aegypti. J Am Mosq Control Assoc. 2021;37(4):242–249. doi: 10.2987/21-7038. [DOI] [PubMed] [Google Scholar]
- 28.Acevedo V, Amador M, Barrera R. Improving the Safety and Acceptability of Autocidal Gravid Ovitraps (AGO Traps) J Am Mosq Control Assoc. 2021;37(2):61–67. doi: 10.2987/21-6996.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Winter N, Stewart ATM, Igiede J, Wiltshire RM, Hapairai LK, James LD, et al. Assessment of Trinidad community stakeholder perspectives on the use of yeast interfering RNA-baited ovitraps for biorational control of Aedes mosquitoes. PLoS One. 2021;16(6):e0252997. doi: 10.1371/journal.pone.0252997. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Paquette CCH, Phanse Y, Perry JL, Sanchez-Vargas I, Airs PM, Dunphy BM, et al. Biodistribution and trafficking of hydrogel nanoparticles in adult mosquitoes. PLoS Negl Trop Dis. 2015;9(5):e0003745. doi: 10.1371/journal.pntd.0003745. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.OECD-Organization for Economic Cooperation and Development . Ready biodegradability publishing, Test Nº. 301B. Guidelines for the testing of chemicals. Paris: 1992. section 3. [Google Scholar]
- 32.Gerberg EJ, Barnard DR, Ward RA. Mosquito rearing and experimental techniques. J Am Mosq Control Assoc. 1994;5:1–98. [Google Scholar]
- 33.Setzer J. Atlas climático e ecológico do estado de São Paulo. São Paulo: Comissão Interestadual da bacia do Paraná e Centrais Elétricas de São Paulo; 1966. [Google Scholar]
- 34.Brito-Arduino M, Mucci LF, Santos LM, Soares MFS. Importance of microenvironment to arbovirus vector distribution in an urban area, São Paulo, Brazil. Rev Soc Bras Med Trop. 2020;53:e20190504. doi: 10.1590/0037-8682-0504-2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Snetselaar J, Andriessen R, Suer RA, Osinga AJ, Knols BG, Farenhorst M. Development and evaluation of a novel contamination device that targets multiple life-stages of Aedes aegypti. Parasit Vectors. 2014;7:200–200. doi: 10.1186/1756-3305-7-200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.James LD, Winter N, Stewart ATM, Feng RS, Nandram N, Mohammed A, et al. Field trials reveal the complexities of deploying and evaluating the impacts of yeastbaited ovitraps on Aedes mosquito densities in Trinidad, West Indies. Sci Rep. 2022;12(1):4047–4047. doi: 10.1038/s41598-022-07910-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Instituto Nacional de Meteorologia do Ministério da Agricultura, Pecuária e Abastecimento do Brasil 2022. [2022 Nov 19]. Banco de Dados Meteorológicos. Available from: https://bdmep.inmet.gov.br/
- 38.StatSoft, Inc. Statistica (data analysis software system) USA: 2013. [Google Scholar]
- 39.R Core Team R: A language and environment for statistical computing. R Foundation for Statistical Computing; Vienna, Austria: 2021. [Google Scholar]
- 40.Rigby RA, Stasinopoulos DM. Generalized additive models for location, scale and shape, (with discussion), Appl. Statist. 2005;54(3):507–554. [Google Scholar]
- 41.Akaike H. A new look at the statistical model identification. IEEE Trans Automat Contr. 1974;19(6):716–723. [Google Scholar]
- 42.QGIS Development Team Geographic Information System. Open Source Geospatial Foundation Project. 2020
- 43.Regis LN, Acioli RV, Silveira JC, Jr, Melo-Santos MAV, Souza WV, Ribeiro CMN, et al. Sustained reduction of the dengue vector population resulting from an integrated control strategy applied in two brazilian cities. PLoS One. 2013;8(7):e67682. doi: 10.1371/journal.pone.0067682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Barrera R, Amador M, Acevedo V, Caban B, Felix G, Mackay AJ. Use of the CDC autocidal gravid ovitrap to control and prevent outbreaks of Aedes aegypti (Diptera: Culicidae) J Med Entomol. 2014;51(1):145–154. doi: 10.1603/me13096. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Citations
- Instituto Nacional de Meteorologia do Ministério da Agricultura, Pecuária e Abastecimento do Brasil 2022. [2022 Nov 19]. Banco de Dados Meteorológicos. Available from: https://bdmep.inmet.gov.br/
