Abstract
Background
Understanding the breeding patterns of Aedes aegypti in households and the factors associated with infestation are important for implementing vector control. The baseline survey of a cluster randomised controlled trial of community mobilisation for dengue prevention in Mexico and Nicaragua collected information about the containers that are the main breeding sites, identified possible actions to reduce breeding, and examined factors associated with household infestation. This paper describes findings from the Mexican arm of the baseline survey.
Methods
In 2010 field teams conducted household surveys and entomological inspections in 11,995 households from 90 representative communities in the three coastal regions of Guerrero State, Mexico. We characterized Ae. aegypti breeding sites and examined the effect of two preventive measures: temephos application in water containers, and keeping the containers covered. We examined associations with household infestation, using bivariate and multivariate analysis adjusted for clustering effects.
Results
We conducted entomological inspections in 11,995 households. Among 45,353 water containers examined, 6.5% (2958/45,353) were positive for larvae and/or pupae. Concrete tanks (pilas) and barrels (tambos) together accounted for 74% of pupal productivity. Both covering water containers and inserting temephos were independently associated with a lower risk of presence of larvae or pupae, with the effect of covering (OR 0.22; 95% CIca 0.15–0.27) stronger than that of temephos (OR 0.66; 95% CIca 0.53–0.84). Having more than four water containers was associated with household infestation in both rural areas (OR 1.42; 95% CIca 1.17–1.72) and urban areas (1.81; 1.47–2.25), as was low education of the household head (rural: 1.27; 1.11–1.46, and urban: 1.39; 1.17–1.66). Additional factors in rural areas were: household head without paid work (1.31; 1.08–1.59); being in the Acapulco region (1.91; 1.06–3.44); and using anti-mosquito products (1.27; 1.09–1.47). In urban areas only, presence of temephos was associated with a lower risk of household infestation (0.44; 0.32–0.60).
Conclusion
Concrete tanks and barrels accounted for the majority of pupal productivity. Covering water containers could be an effective means of Ae. aegypti vector control, with a bigger effect than using temephos. These findings were useful in planning and implementing the Camino Verde trial intervention in Mexico.
Keywords: Aedes aegypti, Dengue, Pupal productivity, Temephos
Background
Dengue is an important neglected infectious disease in the Latin America and Caribbean region [1]. Globally, there are an estimated 390 million dengue infections a year, of which 96 million show clinical manifestations ranging from mild to the most severe [2]. The main dengue vector is the Aedes aegypti mosquito, which is drawn to urban habitats and reproduces mainly in artificial water containers inside or outside households [3]. Irregular or low-quality household water supplies compel households to store water in tanks, barrels or other containers, often open, thus creating a favourable environment for the female Ae. aegypti to lay their eggs and turn them into sites for their offspring to develop [4, 5]. Low quality urban development contributes to the proliferation of containers in which Ae. aegypti breed [6, 7].
Many types of container can become breeding sites [8], and their contribution to mosquito production may vary depending on the season [9, 10]. Certain household characteristics have been identified as adding to the risk of infestation by immature forms of Ae. aegypti, such as the number of people living in a household and the household head’s educational level [11] and gender [12].
This article reports an analysis of data from the baseline survey for Camino Verde, a cluster-randomised controlled trial to reduce dengue risk in southern Mexico and Nicaragua through evidence-based community mobilisation, conducted in 2010 and described by Andersson et al. [13]. Other community mobilisation interventions have shown impact on entomological indicators; Camino Verde was the first to have demonstrated impact against dengue virus infection and reported cases of dengue illness. The baseline for the Mexican arm of the trial collected information from households in 90 clusters, representative of the three coastal regions of Guerrero State. Findings from the baseline regarding the Ae. aegypti breeding sites in and around households, and the factors related to infestation, were an important contribution to the evidence-based community mobilisation intervention in the trial. This article describes the types of water containers found in the households, documents the levels of infestation with Ae.aegypti larvae and pupae, and examines the factors associated with infestation.
Methods
The baseline study for the Camino Verde trial [13] covered the three coastal regions in State of Guerrero: Acapulco, Costa Grande and Costa Chica. The regions have a warm and sub-humid climate with a mean yearly temperature of 25 °C. Total annual precipitation averages 1387 mm, concentrated mostly in the rainy season from June to September. The Costa Grande has a population of 384,534, Costa Chica 449,360, and Acapulco 789,971. These three regions make up 48% of the State’s population [14].
The methods of the baseline study for the trial are described in detail elsewhere [13, 15]. There were three elements: a community profile, based on observation and interviews with key informants, which documented relevant characteristics of each community; a household survey administered to a respondent in each household (an average of 137 households per cluster); and an entomological survey of each household.
Entomological survey
At the time of the household survey, which was conducted during the dry season of 2010–2011, trained entomological fieldworkers, accompanied by a household member, examined all water containers on the property. These workers had at least a high school education and most had a first university degree (licenciatura); nearly all had experience working for the vector control programme of the Guerrero state health department. They all underwent a special 20-h course on the biology of the mosquito and how to search for mosquito reproduction sites, delivered by experienced medical entomologists. Their field supervisors also had entomological experience.
The fieldworkers extracted every larva and pupa they found in the containers and transported them in labelled plastic bags, in thermos flasks, to the laboratory at the Centro de Investigación de Enfermedades Tropicales (CIET) in the University of Guerrero. At the laboratory, entomologists stored the bags at −20 °C, counted the larvae and pupae and classified them using stereoscopic microscopes. They recorded the total numbers of Ae. aegypti larvae and pupae for each container. We considered water containers positive for Ae. aegypti infestation if they contained at least one larva or pupa. Similarly, we considered households infested when we found at least one larva or pupa in at least one container on the property.
The entomological inspections also provided information on the number of containers, their locations, if they were covered or uncovered, the household use of the water in each container, presence of the chemical larvicide, temephos, and the time since the temephos application. Whenever inspectors identified temephos in a container they asked the member of the household accompanying them how long ago it was inserted.
Data management and analysis
Data entry relied on Epi-Data 3.1 [16] open-source software, with double data entry and validation to minimize keystroke errors. We conducted the data analysis using the CIETmap open source software package [17, 18], which provides a user-friendly interface with the R statistical programming language.
We calculated several entomological indices: the container index (the number of positive containers divided by the total number of containers examined); the household index (the number of households with at least one positive container divided by the total number of households); the Breteau index (the number of positive containers divided by the total number of households); and the pupa per person index (the number of pupae in a defined area divided by the population in that area).
We examined the association between two preventive actions - placing temephos in containers and covering containers – and the presence of any Ae. aegypti larvae or pupae in the container, taking account of both actions together using the Mantel Haenszel procedure [19], and adjusting for clustering using the method of Lamothe [20]. We considered a container to have “active temephos” when the larvicide had been placed in the container less than 2 months previously.
A bivariate analysis examined factors potentially associated with household infestation by immature forms of Ae. aegypti, with household index as the outcome variable. The factors we examined included: region of residence and whether urban or rural, type of housing and its use, language spoken at home, regularity of water supply and refuse collection, number of receptacles containing water in the household, presence of temephos in any of the containers, household use of anti-mosquito products, employment status of the household head, education of the household head, and respondent knowledge of the dengue vector. We then carried out a multivariate analysis, using the Mantel-Haenszel procedure [19] with cluster adjustment [20]. The initial saturated model included all variables associated with the outcome in bivariate analysis, and we employed step-wise deletion of the least significant association to reach a final model in which all the variables were significantly associated with the outcome at the 5% level. We tested for effect modification with the Woolf χ2 test for heterogeneity [21]. There was significant effect modification by urban/rural status and we therefore created separate multivariate models for urban and rural areas. We express associations using the adjusted odds ratio (OR) and the cluster adjusted 95% confidence interval (95% CIca).
Results
The field teams conducted an entomological inspection in 11,995 households (97% of the households who participated in the household interviews) and found 45,353 containers which held water at the time. These included containers used for water storage, as well as some receptacles not used for water storage but in which water had accumulated. Overall, the most common were barrels/drums (tambos) (36.9%) (Figure 1), concrete tanks (pilas) (20.6%) (Figs. 2 and 3) and buckets (cubetas) (19.2%) (Table 1). Other containers included large plastic tanks (tinacos) (Figure 4) and plastic bottles (garrafones) (Figure 5). There was some variation in the pattern of containers across the three regions, as shown in Table 1.
Fig. 1.
Two barrels (tambos) for water storage, one plastic and one metal
Fig. 2.
An uncovered concrete water storage tank (pila)
Fig. 3.
A covered concrete water storage tank (pila)
Table 1.
Different types of water containers examined in the three regions
| Container type | Number (%) of containers | |||
|---|---|---|---|---|
| Acapulco | Costa Grande | Costa Chica | All regions | |
| Water storage containers | ||||
| Barrelsa | 6379 (36.5) | 4984 (37.3) | 5352 (36.9) | 16,715 (36.9) |
| Concrete tanksb | 3021 (17.3) | 3398 (25.2) | 2939 (20.3) | 9358 (20.6) |
| Bucketsc | 4688 (26.8) | 1873 (14.0) | 2159 (14.9) | 8720 (19.2) |
| Other containersd | 863 (4.9) | 1116 (8.4) | 2622 (18.1) | 4601 (10.1) |
| Plastic tankse | 1684 (9.6) | 1176 (8.8) | 509 (3.5) | 3369 (7.4) |
| Plastic bottlesf | 492 (2.8) | 728 (5.5) | 335 (2.3) | 1555 (3.4) |
| Containers not used for water storage | ||||
| Discarded articlesg | 236 (1.3) | 48 (0.4) | 334 (2.3) | 618 (1.4) |
| Tyres | 25 (0.1) | 5 (0.04) | 183 (1.3) | 213 (0.5) |
| Plant and flowerpots | 106 (0.6) | 21 (0.2) | 77 (0.5) | 204 (0.4) |
| Total | 17,494 (100) | 13,349 (100) | 14,510 (100) | 45,353 (100) |
Terminology for water containers varies, even between states in Mexico. The terminology in this article is that used in Guerrero State
aBarrels or drums (tambos) are made of plastic or metal and hold about 2000 l (Figure 1)
bConcrete/cement tanks (pilas) are of variable size, up to thousands of litres (Figs. 2 and 3)
cBuckets (cubetas) hold between 20 l and 200 l
dOther containers used for water storage include washtubs, trays, and various kitchen utensils
eLarge plastic tanks (tinacos) are made of heavy plastic with capacity 450 l to 10,000 l (Figure 4)
fPlastic bottles (garrafones) – usually hold between 5 l and 20 l (Figure 5)
gDiscarded articles (cacharros) with configuration allowing water accumulation
Fig. 4.
A plastic water tank (tinaco)
Fig. 5.
Plastic bottles for drinking water (garrafones)
Overall, 31% of containers were covered, with little difference between urban and rural areas (Table 2). While most concrete tanks are found outside the household’s immediate living space, most have some kind of roof or overhang to protect them from the rain. Nevertheless, only 8% of concrete tanks were covered --12% in urban areas and just 4% in rural areas. About a third of barrels and a quarter of buckets were covered. Most plastic tanks (tinacos) and water bottles were covered or sealed in both rural and urban areas.
Table 2.
Distribution of water storage containers and presence of covers, in urban and rural areas
| Type of container | % (proportion) of containers that were covered | ||
|---|---|---|---|
| Urban sites | Rural sites | Total | |
| Barrels/drums | 31 (2034/6499) | 37 (3659/9783) | 35 (5693/16282) |
| Concrete tanks | 12 (573/4620) | 4 (183/4571) | 8 (756/9191) |
| Buckets | 27 (1177/4426) | 23 (963/4151) | 25 (2140/8577) |
| Plastic tanks | 87 (1805/2070) | 82 (998/1224) | 85 (2803/3294) |
| Plastic bottles | 81 (691/852) | 82 (542/662) | 81 (1233/1514) |
| Other storage containers | 7 (92/1229) | 17 (543/3270) | 14 (635/4499) |
| All storage containers | 32 (6372/19696) | 29 (6888/23661) | 31 (13,260/43357) |
See footnote to Table 1 for description of containers
In a few cases, field workers did not record if the container was covered or not
Table 3 shows the mean entomological indices by region. There was generally little variation, except that the Breteau index was lower in Costa Grande, and the pupa per person index was lower in Acapulco. This latter probably reflects the higher population density in Acapulco.
Table 3.
Entomological indices in the three regions
| Index | Mean index% (proportion); 95% CI | |||
|---|---|---|---|---|
| Acapulco | Costa Grande | Costa Chica | Total | |
| Household index | 13.5 (551/4094); 12.4–14.5 |
14.2 (559/3946); 13.1–15.3 |
14.8 (566/3816); 13.7–16.0 |
14.1 (1676/11,856); 13.5–14.8 |
| Container index | 6.3 (1098/17,494); 5.9–6.6 |
6.5 (862/13,349); 6.0–6.9 |
6.9 (998/14,510); 6.5–7.3 |
6.5 (2958/45,353); 6.3–6.8 |
| Breteau index | 27 (1098/4094); 25.5–28.2 |
21.8 (862/3946); 20.6–23.2 |
26.2 (998/3816); 24.8–27.7 |
25 (2958/11,856); 24.9–25.7 |
| Pupa/person index | 0.08 (1536/18,372); 0.079–0.087 |
0.19 (3236/16,950); 0.185–0.197 |
0.20 (3540/18,129); 0.19–0.201 |
0.16 (8312/53,541); 0.152-0.168 |
Barrels and concrete tanks together accounted for 74% (6028/8132) of the total pupal productivity (Table 4). They are commonly used for water storage and together make up 57% (26,073/45,353) of the total number of containers (See Table 1). This contrasts with plastic tanks and water bottles, which together make up 11% of the total number of containers (see Table 1) but together account for only 1.4% (118/8132) of pupal productivity (Table 4). This is probably related to the fact that most of the plastic tanks and water bottles were covered (closed) (Table 4).
Table 4.
Pupal productivity and other features of different water containers
| Container type | N | Inside the house (%) | Containing temephos (<2 months old)(%) | Covered(%) | Used for drinking and cooking water (%) | Container index (%) | Pupal productivity |
|---|---|---|---|---|---|---|---|
| Concrete tanks | 9358 | 19.0 | 40.4 | 8.2 | 1.8 | 8.0 |
N = 4216 mean = 0.451 SD = 5.263 50.7% |
| Barrels/drums | 16,717 | 23.6 | 17.7 | 35.0 | 12.2 | 4.4 |
N = 1902 mean = 0.114 SD = 1.987 22.9% |
| Plastic tanks | 3369 | 5.1 | 33.3 | 85 | 4.0 | 1.9 |
N = 107 mean = 0.032 SD = 0.536 1.3% |
| Plastic bottles | 1557 | 68.9 | 1.2 | 81.4 | 70.5 | 0.7 |
N = 11 mean = 0.007 SD = 0.154 0.1% |
| Buckets | 8729 | 27.0 | 5.1 | 25 | 10.0 | 2.5 |
N = 472 mean = 0.054 SD = 1.181 5.6% |
| Other water storage containers | 4601 | 18.2 | 7.0 | 9.3 | 9.9 | 4.6 |
N = 882 mean = 0.19 SD = 2.52 10.6% |
| Discarded articles | 618 | 9.0 | 24.4 | N/A | N/A | 9.8 |
N = 171 mean = 0.277 SD = 2.94 2.0% |
| Plant- and flowerpots | 204 | 38.4 | 5.1 | N/A | N/A | 14.0 |
N = 88 mean = 0.431 SD = 2.507 1.06% |
| Tyres | 213 | 32.3 | 2.1 | N/A | N/A | 7.2 |
N = 463 mean = 2.17 SD = 14.14 5.6% |
| All containers | 45,366 | 23.0 | 19.5 | 4.7 |
N = 8312 mean = 0.183 SD = 3.001 |
Pupa productivity: N = total number of pupas for all containers of that type; mean = mean number of pupae per container; SD = standard deviation of mean; percentage = (total number of pupae from that container type/overall total number of pupae) × 100
Temephos, covering containers and presence of larvae and pupae
Larvae and/or pupae were found in 5.8% (336/5747) of containers with active temephos (applied within the last 2 months), and in 1.8% (189/10,562) of containers which were covered at the time of the survey. In an analysis taking into account the effect of temephos and the effect of container coverage, the two factors were independently associated with a reduced likelihood of pupae or larvae in the container, but the effect of container coverage (OR 0.20, 95% CIca 0.15–0.27) was stronger than the effect of temephos (OR 0.66, 95% CIca 0.53–0.84).
Table 5 shows the results of the bivariate analysis of associations with the household index. A household was more likely to have at least one container positive for Ae. aegypti larvae or pupae if: there were more than four water containers in the household; the household used anti-mosquito products; the household head did not have remunerated employment; and the household head had less than 6 years of primary education. Households with temephos in at least one water container were less likely to be positive for larvae or pupae.
Table 5.
Bivariate associations with household index
| Variable | Positive householdsa | OR | 95% CIca | |
|---|---|---|---|---|
| Proportion | % | |||
| Number of water containers in household | ||||
| 4–51 | 756/4646 | 16.3 | 1.55 | 1.33–1.80 |
| 1–3 | 820/7349 | 11.2 | ||
| Respondent knew about the dengue vector | ||||
| Yes | 322/2302 | 14 | 1.10 | 0.93–1.29 |
| No | 1219/9420 | 12.9 | ||
| Household use | ||||
| Home | 1490/11355 | 13.1 | 0.97 | 0.74–1.27 |
| Business/home-business | 83/618 | 13.4 | ||
| Area of residence | ||||
| Rural | 907/6494 | 14 | 1.17 | 0.82–1.67 |
| Urban | 669/5501 | 12.2 | ||
| Household type | ||||
| Permanent or semi-permanent | 942/6721 | 14 | 1.19 | 0.97–1.47 |
| Temporary or provisional | 627/5215 | 12 | ||
| Temephos in at least one water container | ||||
| Yes | 468/4644 | 10.1 | 0.63 | 0.57–0.94 |
| No | 1108/7351 | 15.1 | ||
| Household uses anti-mosquito products | ||||
| Yes | 745/5260 | 14.2 | 1.17 | 1.04–1.33 |
| No | 824/6683 | 12.3 | ||
| Household head with remunerated employment | ||||
| No | 342/2166 | 15.8 | 1.30 | 1.13–1.50 |
| Yes | 1221/9704 | 12.6 | ||
| Region | ||||
| Acapulco | 523/4131 | 12.7 | 0.94 | 0.64–1.37 |
| Costa Grande &Costa Chica | 1053/7864 | 13.4 | ||
| Education of household head | ||||
| 0–5 years of primary school | 748/4910 | 15.2 | 1.35 | 1.17–1.56 |
| 6 or more years of primary school | 822/6988 | 11.8 | ||
| Language spoken at home | ||||
| Spanish | 1457/10905 | 13.4 | 1.26 | 0.84–1.84 |
| Indigenous language | 117/1076 | 10.9 | ||
| Regular water service | ||||
| Yes | 1295/10095 | 12.8 | 0.85 | 0.53–1.36 |
| No | 281/1076 | 14.8 | ||
| Garbage collection service | ||||
| Yes | 932/7272 | 12.8 | 0.93 | 0.65–1.33 |
| No | 644/4723 | 13.6 | ||
aA positive household had at least one container in which Ae. aegypti larvae or pupae were found
95% CIca = cluster adjusted 95% confidence interval
Bold font indicates an association significant at the 5% level
In the final model of the multivariate analysis of associations with household index in rural areas (Table 6), the factors remaining associated with the household being positive for larvae or pupae were: having more than four water containers in the household; household use of anti-mosquito products; a household head with less than 6 years of primary education; a household head without remunerated employment; and location in the Acapulco region.
Table 6.
Multivariate model of factors associated with household index in rural areas; N = 6362; Clustered by site, n = 51
| Variable | Crude OR | Adjusted OR | 95%CIca |
|---|---|---|---|
| More than four water containers | 1.46 | 1.42 | 1.17–1.72 |
| Use of anti-mosquito products | 1.28 | 1.27 | 1.09–1.47 |
| Household head <6 years education | 1.23 | 1.27 | 1.11–1.46 |
| Household head without paid employment | 1.38 | 1.31 | 1.08–1.59 |
| Household in Acapulco region | 1.85 | 1.91 | 1.06–3.44 |
OR = Odds Ratio; 95%CIca = cluster adjusted 95% confidence interval
In the final multivariate model in urban areas (Table 7), households were more likely to be positive if they had more than four water containers and if the household head had less than 6 years of education. They were less likely to be positive if they had active temephos in at least one water container.
Table 7.
Multivariate model of factors associated with household index in urban areas; N = 5440; clustered by site, n = 39
| Variable | Crude OR | Adjusted OR | 95% CIca |
|---|---|---|---|
| More than four water containers | 1.68 | 1.81 | 1.47–2.25 |
| Household head <6 years education | 1.44 | 1.39 | 1.17–1.66 |
| Temephos in at least one container | 0.48 | 0.44 | 0.32–0.60 |
OR = Odds Ratio; 95%CIca = cluster adjusted 95% confidence interval
Discussion
The main value of the results of the study described here is that they were a key part of the evidence base for discussions about dengue prevention in the Camino Verde trial [13, 15] intervention communities. The aim of these discussions was to co-design, with communities, communication and dissemination strategies about vector control that would allow the communities to make decisions to carry out actions to prevent the reproduction of Ae. aegypti [22].
Main household Ae. Aegypti breeding sites
The study provided evidence about the main mosquito breeding sites in the three coastal regions of Guerrero. This was very useful information to discuss with households. Barrels were the most common type of water container in the households, followed by concrete tanks and buckets (see Table 1). Concrete tanks alone accounted for half the total number of pupae in the households, with barrels accounting for another quarter (see Table 4). This result is partially explained by the relatively high numbers of these containers, but concrete tanks also had a high mean number of pupae per container. Households therefore need to pay particular attention to these containers. Our results about the main household breeding sites for Ae. aegypti are similar to those of other authors. A study in an Argentinian city reported water barrels and tanks/tubs were often infested [23] and a study in Thailand [24] found that a third of cement water tanks were infested.
Actions to reduce Ae aegypti breeding
This study provides evidence of the importance of the simple action of keeping water containers properly covered. Taking into account the effect of temephos, covered water containers were about five times less likely to be positive for larvae or pupae, compared with open containers (OR 0.22; 95% CIca 0.15–0.27). The study findings also confirmed an effect of temephos in water containers: taking into account whether containers were covered, those with active temephos in them (less than 2 months old) were less likely to be positive for larvae or pupae (OR 0.66; 95% CIca 0.53–0.84). The effect of covering containers is clearly stronger than the effect of temephos. Phuanukoonnon et al. in northeast Thailand also found that covering drinking water jars was associated with less infestation, and showed that temephos was effective only in certain types of container in urban sites [24]. Garelli et al. in Argentina noted a relatively short and variable residual effect of temephos, with high water turnover (for example from refilling tanks from an overnight water supply) reducing the period during which temephos was active [25]. One reason for the greater effectiveness of covering containers may be the growing resistance of the dengue virus to the chemical [26].
At the time of the survey reported here, neither control measure (covering water storage containers and inserting temephos) was universally present in the households. Only plastic water tanks and water bottles had a high rate of coverage (85% and 81%), with a quarter of buckets, a third of barrels and only one in ten concrete tanks covered (Table 2). Active temephos (that is, less than 2 months old) was present in only 19% of containers, and in particular it was present in only 40% of concrete tanks and 18% of barrels, which together account for three-quarters of pupae in the households (Table 4). Increasing coverage of the government temephos programme would pose challenges, but households can easily take action themselves to cover water containers. The brigadistas (community mobilisers) of the Camino Verde intervention encouraged households to become involved in this sort of activity [22].
Associations with household index
In our study, in both rural and urban sites, households with more water containers were more likely to be positive for larvae or pupae. This is not surprising, as more containers will provide more potential breeding sites for Ae. aegypti. The number of containers per household is a relatively crude measure, since it does not take into account the variation in container type, with some types being much more productive of pupae than others. Still, having fewer water containers is one way to minimize mosquito proliferation.
Also in all sites, households were more likely to be positive for larvae or pupae if the household head had less than 6 years of education. In rural sites, households were more likely to be positive if they were poorer, as indicated by the household head not having any paid employment. A study in Cuba found lack of employment was associated with Ae. aegypti infestation [27] while one in Colombia reported associations between Ae. aegypti larvae and pupae and low socio-economic indicators, including poverty and low education [11]. A study Southern Mexico [12] linked low education of the household head with the presence of high-risk containers for Ae. aegypti breeding.
In the present study, we did not find a significant association between area of residence (urban or rural) and household positivity for larvae or pupae. Authors from Brazil and Argentina have reported an association between poorly developed urban locations and conditions favouring breeding of Ae. aegypti [6, 7]. We did find that associations between other variables and household positivity were different between urban and rural sites, suggesting that some factors may operate differently in urban locations. In rural sites only, we found that households in the Acapulco region were more likely to be positive for larvae or pupae. The reasons for this are not clear, but it may be related to the relative water shortage in this region, leading to different water storage practices not fully reflected in the present analysis.
In urban sites only, households with temephos in at least one container were less likely to be positive for larvae and pupae. This may reflect a more thorough application of temephos in urban sites. On the other hand, in rural sites, households reporting the use of anti-mosquito products (such as sprays and coils) were more likely to be positive for larvae or pupae. In a cross-sectional study, we cannot be sure of the direction of associations, and it could be that those households with infestation were more bothered by adult mosquitoes and hence resorted to using anti-mosquito products. The finding certainly does not suggest that these products had any useful effect on reducing Ae. aegypti breeding.
Limitations of the study
As with any cross-sectional study, we cannot draw conclusions about causality from this study, and there may be other confounders we have not been able to take into account. We cannot be sure of the direction of associations identified.
Conclusions
This study produced findings that were useful in planning and implementing with communities the evidence-based interventions of the Camino Verde trial. It indicated that the bulk of pupal productivity in households is concentrated in the larger traditional water storage containers of concrete tanks (pilas) and barrels (tambos). It pointed to the value of covering water containers to prevent Ae. aegypti breeding, and the stronger effect of this compared with the effect of temephos.
Acknowledgments
We thank Francisco Laucirica who translated the original Spanish draft into English, the field teams who conducted the entomological survey, and the households who agreed to participate in the survey.
Funding
This research and this publication were supported by The UBS Optimus Foundation. Fomix-CONACYT-GUERRERO also supported the research (Grant Number 2008–02-108,541).
Availability of data and materials
No additional data available.
Authors’ contributions
AMP led the field work during the Camino Verde intervention and wrote the Spanish draft of this article; ENA was co-investigator of the Camino Verde trial, assisted with data analysis and made significant contributions to the Spanish draft; ABM, AJCG, DGS, IERR, AMR, SPS, and JLS made significant contributions to the Spanish draft; FGAV assisted with data analysis; RJL edited the translation and made significant contributions to the final manuscript; AC edited and made significant contributions to the final manuscript. NA, the principal investigator for the Camino Verde trial, made significant contributions to the final manuscript. All authors read and approved the final manuscript.
Competing interests
The authors declare they have no competing interests.
Consent for publication
The individuals shown in Figs. 1 and 2 gave oral consent to be photographed and gave oral permission for their images to be published.
Ethics approval and consent to participate
This study was approved by the CIET Canada research ethics board (16 November 2009) and the ethics committee of the Centro de Investigación de Enfermedades Tropicales at the Universidad Autónoma de Guerrero (27 November 2009). Both boards performed annual review and gave approval throughout the study.
Before beginning the fieldwork, researchers explained the study objectives and asked for written authorization from community authorities and leaders. Field teams explained the study objectives to each household and asked for verbal consent to proceed. A member of the household always accompanied the field worker undertaking the entomological survey.
About this supplement
This article has been published as part of BMC Public Health Volume 17 Supplement 1, 2017: The Green Way to Aedes aegypti mosquito control: aspects and implications of the Camino Verde trial in Mexico and Nicaragua. The full contents of the supplement are available online at https://bmcpublichealth.biomedcentral.com/articles/supplements/volume-17-supplement-1
Publisher’s Note
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Abbreviations
- Ae. aegypti
Aedes aegypti
- CIET
Centro de Investigación de Enfermedades Tropicales
- OR
Odds ratio
- 95% CIca
Cluster adjusted 95% confidence interval
Contributor Information
Arcadio Morales-Pérez, Email: amorales@ciet.org.
Elizabeth Nava-Aguilera, Email: enava@ciet.org.
Alejandro Balanzar-Martínez, Email: a_balanzar54@hotmail.com.
Antonio Juan Cortés-Guzmán, Email: antocortes5501@yahoo.com.mx.
David Gasga-Salinas, Email: gasga_david@hotmail.com.
Irma Esther Rodríguez-Ramos, Email: irodriguez224@hotmail.com.
Alba Meneses-Rentería, Email: alba_meneses@hotmail.com.
Sergio Paredes-Solís, Email: srgprds@gmail.com.
José Legorreta-Soberanis, Email: jlegorreta@ciet.org.
Felipe Gil Armendariz-Valle, Email: felipearmend@hotmail.com.
Robert J. Ledogar, Email: rledogar@ciet.org
Anne Cockcroft, Email: acockcroft@ciet.org.
Neil Andersson, Email: andersson@ciet.org.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
No additional data available.