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Volume 21, Number 2—February 2015
Dispatch

Use of Insecticide-Treated House Screens to Reduce Infestations of Dengue Virus Vectors, Mexico

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Author affiliations: Universidad Autónoma de Yucatan, Merida, Mexico (P. Manrique-Saide, M. Barrera-Perez, G. Guillermo-May, J. Herrera-Bojorquez); Servicios de Salud de Yucatán, Gobierno del Estado de Yucatan, Merida (A. Che-Mendoza); Servicios Estatales de Salud de Guerrero, Chilpancingo, Mexico (F. Dzul-Manzanilla, C. Gutierrez-Castro); Centers for Disease Control and Prevention, Atlanta, Georgia, USA (A. Lenhart); Emory University, Atlanta (G. Vazquez-Prokopec); World Health Organization, Geneva, Switzerland (J. Sommerfeld, A. Kroeger); Liverpool School of Tropical Medicine, Liverpool, UK (P.J. McCall); Centro Nacional de Programas Preventivos y Control de Enfermedades, Mexico City, Mexico (J.I. Arredondo-Jimenez)

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Abstract

Dengue prevention efforts rely on control of virus vectors. We investigated use of insecticide-treated screens permanently affixed to windows and doors in Mexico and found that the screens significantly reduced infestations of Aedes aegypti mosquitoes in treated houses. Our findings demonstrate the value of this method for dengue virus vector control.

Vector control is the primary method for prevention and control of the increasingly frequent dengue outbreaks that threaten more than half the global human population (1). Existing approaches target breeding sites or attack adult mosquitoes by insecticide space-spraying, but these methods, at best, offer only immediate solutions and are rarely effective or sustainable for the long term (2). Methods that target the largely endophilic adult female Aedes aegypti mosquito vectors within buildings where they rest and bloodfeed have greater potential for sustained results and acceptance at the community level. One such method, long-lasting insecticidal-net (LLIN) curtains hung at windows or doors, can greatly reduce vector populations at high coverage rates (35), but efforts are compromised when curtains remain open during daytime or when all house entry points cannot be protected (6,7). Fixed or permanent screens covering doors and windows could eliminate this problem. Mosquito-proofing of houses is effective in malaria control (8), and reduced risk for dengue has been associated with the use of untreated (9) and insecticide-treated (3,10) screens.

The Study

Figure 1

Thumbnail of Area of study of long-lasting insecticide-treated screens in Acapulco, Mexico, March 2011–March 2013. A) Locations of clusters in the neighborhoods of Ciudad Renacimiento and Zapata, showing areas with (red) and without (blue) screens. Insets show location of study area (black box) in Acapulco and Guerrero state (black shading) in Mexico. B) Photographs of screens mounted on aluminum frames and fixed to windows and external doors of treated houses in 2012. The insects visible in the

Figure 1. Area of study of long-lasting insecticide-treated screens in Acapulco, Mexico, March 2011–March 2013. A) Locations of clusters in the neighborhoods of Ciudad Renacimiento and Zapata, showing areas with (red) and without...

During 2011–2013, in the city of Acapulco in Guerrero state, Mexico (Figure 1), an area of consistently high dengue transmission (http://www.epidemiologia.salud.gob.mx/dgae/panodengue/intd_dengue.html), we investigated the effect on vector infestations of permanently mounted, insecticide-treated screens fitted to doors and windows of residential houses. The screens (Duranet, Clarke Mosquito Control, Roselle, IL, USA) were made of 0.55% wt/wt α-cypermethrin–treated nonflammable polyethylene netting (145 denier; mesh = 132 holes/in2); the design is approved by the World Health Organization (WHO) Pesticide Evaluation Scheme (http://www.who.int/whopes/en/).

We used a cluster-randomized sampling design constructed on the basis of earlier studies (46,11) to select 20 clusters (10 treatment, 10 control; 100 households/cluster) from a possible 30 clusters by using digital maps (Google Earth software; Google Inc., Mountain View, CA, USA) (Figure 1). Sample size was determined by using a 2-level hierarchical model to achieve 80% power at a 5% level of significance. Thus, for a negative binomial distribution with a dispersion coefficient of 0.02 and intracluster coefficient of 0.05, a minimum of 8.9 clusters/arm were required. Written informed consent was obtained from participating households; the WHO Ethical Review Committee (WHO reference no. 2010/82951-0, unit reference no. A90297) and Guerrero State Ministry of Health granted ethical permission for the study.

Participating households in the treatment arm were instructed on LLIS maintenance during installation (April–December 2012). Control houses received no treatment. Five entomologic surveys of randomly selected houses were conducted: before intervention (March 2011, September 2011, March 2012) and at 5 and 12 months after intervention (September 2012, March 2013; wet and dry seasons, respectively). Before intervention, 32 houses per cluster were sampled at each survey; after intervention, 210 houses from treated clusters and 302 from control clusters were sampled in September 2012 and 311 houses from treated and 320 from control clusters in March 2013.

Indoor resting adult mosquitoes were collected by using modified CDC backpack aspirators (John W. Hock Co., Gainesville, FL, USA) from all houses in a cluster on the same day during 9 am–3 pm. Indices for Ae. aegypti mosquitoes (the only Aedes species found) were calculated to quantify house infestation (percent of all houses positive) and infestation density (numbers per infested house) for all mosquitoes, all females, all blood-fed females, and males.

For presence–absence data, we performed logistic regression models with a single predictor variable identifying houses with LLIS and control houses (coded as 1 and 0, respectively) and accounting for each house membership in a given sampling cluster (cluster-robust SE calculation). Odds ratios (ORs) and 95% CIs indicating the effect of LLIS on each entomologic indicator were calculated. Overdispersed index data were compared between arms by using the Mann-Whitney U test. The effect of treatment on each metric was analyzed by negative-binomial regression using, as with the logistic models, treatment as the sole predictor variable (1 and 0 coding). Negative binomial models also accounted for membership of a house in a sampling cluster (cluster-robust SE calculation). ORs and incidence rate ratios (IRRs) were calculated with 95% CIs; significance was set at p<0.05. Analyses were performed by using Stata 12.0 (StataCorp, College Station, TX, USA).

Figure 2

Thumbnail of Infestation indices for adult Aedes aegypti mosquitoes in intervention (solid lines) and control (dashed lines) households before and after intervention in Acapulco, Mexico, as measured during dry (March) and wet (August–September) season cross-sectional surveys, 2011–2013. A–D) Vector prevalence: percentage of houses positive for A) all adults; B) all females; C) blood-fed females; D) males. E–H) Vector density: mean number per infested house for E) all adults; F) all females; G) b

Figure 2. Infestation indices for adult Aedes aegypti mosquitoes in intervention (solid lines) and control (dashed lines) households before and after intervention in Acapulco, Mexico, as measured during dry (March) and wet (August–September)...

Before intervention, indices were similar for both study arms on all sampling dates. House infestation rates (Figure 2, panels A–D) and mosquito densities (Figure 2, panels E–H) followed seasonal patterns (2-sample Wilcoxon rank-sum test for all treatment–control comparisons, |z|<1.0; p>0.1). At 5 months postintervention, significantly fewer treated than control houses were infested with Ae. aegypti adult female mosquitoes (OR 0.38, 95% CI 0.21–0.69), blood-fed females (OR 0.36, 95% CI 0.21–0.60), and males (OR 0.39, 95% CI 0.19–0.77). A significant effect was still seen at 12 months for adult females (OR 0.41, 95% CI 0.25–0.68) and males (OR 0.41, 95% CI 0.27–0.64) but not for blood-fed females (OR 0.51, 95% CI 0.24–1.05). Analyses of infestation density showed similar trends, with significantly fewer Ae. aegypti mosquitoes found in treated than in control houses: adult females at 5 (IRR 0.37, 95% CI 0.27–0.49) and 12 (IRR 0.40, 95% CI 0.23–0.70) months postintervention, males at 5 (IRR 0.39, 95% CI 0.28–0.54) and 12 (IRR = 0.49, 95%CI 0.33–0.72) months postintervention, and blood-fed females at 5 (IRR 0.32, 95% CI 0.23–0.45) but not 12 (IRR 0.49, 95% CI 0.23–1.05) months postintervention.

A comparison of wet season data from treatment houses before (August 2011) and after (September 2012) intervention showed that significantly fewer females and blood-fed females were found postintervention (Wilcoxon matched pairs W = 30706, z = 3.717, and W = 20706, z = 3.146; p<0.05 for both comparisons). However, the number of male mosquitoes did not change significantly (W = 20706, z = 1.385; p>0.05).

At 5 months postintervention, fewer LLIS-treated houses (33%) than control houses (56%) remained infested with female Ae. aegypti mosquitoes. Lower numbers of female mosquitoes were also found per infested house (0.54 ± 0.9) than per control house (1.39 ± 2.0); this effect was still detectable at 12 months postintervention (18%, 0.3 ± 0.8, vs. 35%, 0.7 ± 1.4).

Conclusions

In our study, the entomologic effect of LLIS was greater than that detected in a recent study of deltamethrin-treated window curtains (12), in which a 27% reduction of adult Ae. aegypti mosquitoes was only sustained for a short time after curtain installation. Other studies of insecticide-treated curtains in Latin America have reported entomologic effects by using immature stage indicators alone (4,5,7). Whether these reductions were sufficient to affect dengue transmission is unknown, and the overall effect on dengue infections remains to be evaluated.

Our results are encouraging in view of high levels of insecticide resistance in Ae. aegypti mosquitoes in Acapulco. Although resistance to α-cypermethrin has yet to be reported in Guerrero, high frequencies of mutations in the voltage-gated sodium channel gene, which is associated with pyrethroid resistance in Ae. aegypti mosquitoes, have been reported (13). If insecticide resistance began to reduce the efficacy of the method we describe, the screens could be treated with different insecticide classes.

We found the use of LLIS was a popular intervention, and perceived efficacy was reinforced by a reduction in other domestic pests (Figure 1) (14). The likely effects on other peridomestic disease vectors could promote increased adoption of the intervention with additional cost benefits. The polyethylene netting was durable on windows; it was often damaged on the lower sections of doors (14) but readily repaired by reinforcement with metal mesh.

Dengue vector control programs using house screens are ongoing in selected cities in Mexico and Brazil. These results were obtained during an exploratory phase of that initiative. Stakeholders in other countries may also consider evaluating this novel approach for dengue vector control.

Dr. Manrique-Saide is a professor and Responsible of the Collaborative Unit for Entomological Bioassays of the Universidad Autonoma de Yucatan. His main research interest within public health entomology is the improvement of surveillance and control of vector-borne diseases with particular emphasis on the vectors of dengue and chinkungunya viruses, Ae. aegypti mosquitoes.

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Acknowledgments

We acknowledge and thank the field team for their work and the study site populations in Ciudad Renacimiento and Zapata, Acapulco, for their cooperation throughout the study.

Financial support was provided by the United Nations Development Programme/World Bank/WHO Special Program for Research and Training in Tropical Diseases/International Development Research Center (project no. A70585) and FOMIX CONACYT-Guerrero (project GUE-2008-02-108686).

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References

  1. Bhatt  S, Gething  PW, Brady  OJ, Messina  JP, Farlow  AW, Moyes  CL, The global distribution and burden of dengue. Nature. 2013;496:5047. DOIPubMedGoogle Scholar
  2. World Health Organization. Dengue: guidelines for diagnosis, treatment, prevention and control. Geneva: The Organization; 2009.
  3. Igarashi  A. Impact of dengue virus infection and its control. FEMS Immunol Med Microbiol. 1997;18:291300 and. DOIPubMedGoogle Scholar
  4. Kroeger  A, Lenhart  A, Ochoa  M, Villegas  E, Levy  M, Alexander  N, Effective control of dengue vectors with curtains and water container covers treated with insecticide in Mexico and Venezuela: cluster randomised trials. BMJ. 2006;332:124752. DOIPubMedGoogle Scholar
  5. Vanlerberghe  V, Trongtokit  Y, Jirarojwatana  S, Jirarojwatana  R, Lenhart  A, Apiwathnasorn  C, Coverage-dependent effect of insecticide-treated curtains for dengue control in Thailand. Am J Trop Med Hyg. 2013;89:938. DOIPubMedGoogle Scholar
  6. Lenhart  A, Trongtokit  Y, Alexander  N, Apiwathnasorn  C, Satimai  W, Vanlerberghe  V, A cluster-randomized trial of insecticide-treated curtains for dengue vector control in Thailand. Am J Trop Med Hyg. 2013;88:2549. DOIPubMedGoogle Scholar
  7. Rizzo  N, Gramajo  R, Cabrera-Escobar  M, Arana  B, Kroeger  A, Manrique-Saide  P, Dengue vector management using insecticide treated materials and targeted interventions on productive breeding-sites in Guatemala. BMC Public Health. 2012;12:931. DOIPubMedGoogle Scholar
  8. Gimnig  JE, Slutsker  L. House screening for malaria control. Lancet. 2009;374:9545. DOIPubMedGoogle Scholar
  9. Ko  YC, Chen  M, Yen  S. The predisposing and protective factors against dengue virus transmission by mosquito vector. Am J Epidemiol. 1992;136:21420 .PubMedGoogle Scholar
  10. Nguyen  HT, Tien  TV, Tien  NC, Ninh  TU, Hoa  NT. The effect of Olyset net screen to control the vector of dengue fever in Vietnam. Dengue Bull. 1996;20:8792.
  11. Quintero  J, Brochero  H, Manrique-Saide  P, Barrera-Pérez  M, Basso  C, Romero  S, Ecological, biological and social dimensions of dengue vector breeding in five urban settings of Latin America: a multi-country study. BMC Infect Dis. 2014;14:38. DOIPubMedGoogle Scholar
  12. Loroño-Pino  MA, García-Rejón  JE, Machain-Williams  C, Gomez-Carro  S, Nuñez-Ayala  G, Nájera-Vázquez Mdel  R, Towards a casa segura: a consumer product study of the effect of insecticide-treated curtains on Aedes aegypti and dengue virus infections in the home. Am J Trop Med Hyg. 2013;89:38597. DOIPubMedGoogle Scholar
  13. Aponte-Hincapie  A, Penilla-Navarro  P, Dzul-Manzanilla  F, Che-Mendoza  A, Lopez  AD, Solis  F, The pyrethroid resistance status and mechanisms in Aedes aegypti from Guerrero state, Mexico. Pestic Biochem Physiol. 2013;107:22634. DOIGoogle Scholar
  14. Huw-Jones  CJ, Benítez-Valladares  D, Guillermo-May  G, Dzul-Manzanilla  F, Che-Mendoza  A, Barrera-Pérez  M, Use and acceptance of long lasting insecticidal net screens for dengue prevention in Acapulco, Guerrero, Mexico. BMC Public Health. 2014;14:846. DOIPubMedGoogle Scholar

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DOI: 10.3201/eid2102.140533

1Current affiliation: Universidad Autonoma de Nuevo Leon, Monterrey, Mexico.

Table of Contents – Volume 21, Number 2—February 2015

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Juan I. Arredondo-Jimenez, Universidad Autonoma de Nuevo Leon, Pedro de Alba S/n, Ciudad Universitaria, 66450 San Nicolas de Los Garza, Nuevo Leon, Mexico

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Page created: January 21, 2015
Page updated: January 21, 2015
Page reviewed: January 21, 2015
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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