A comparison between self-reported and GIS-based proxies of residential exposure to environmental pollution in a case–control study on lung cancer

Cordioli, Michele; Ranzi, Andrea; Sterrantino, Anna Freni; Erspamer, Laura; Razzini, G.; Ferrari, Uta; Gatti, Maria Giulia; Bonora, Karin; Artioli, F.; Goldoni, Carlo Alberto; Lauriola, Paolo

doi:10.1016/j.sste.2014.04.004

Cited by 4 publications

(2 citation statements)

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“…Although selfreport can be limited by recall bias, response bias, or social desirability bias, it is nevertheless useful in characterizing a wide range of environmental exposures and health outcomes. [7][8][9][10][11] In theory, surveying individuals on how often they think they have been bitten by mosquitoes could be a feasible and low-cost method to estimate human biting rates, especially if combined with other information. 12 Relatively few studies, however, have explored the potential of self-reported human biting rate of mosquitoes (or other arthropods).…”

Section: Introductionmentioning

confidence: 99%

Validity of Self-Reported Mosquito Bites to Assess Household Mosquito Abundance in Six Communities of Esmeraldas Province, Ecuador

Glover

Lee

Suing

et al. 2023

The American Journal of Tropical Medicine and Hygiene

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Mosquito-borne diseases are a global burden; however, current methods of evaluating human–mosquito contact rates are expensive and time consuming. Validated surveys of self-reported mosquito bites may be an inexpensive way to determine mosquito presence and bite exposure level in an area, but this remains untested. In this study, a survey of self-reported mosquito bites was validated against household mosquito abundance from six communities in Esmeraldas, Ecuador. From February 2021 to July 2022, households were interviewed monthly, and five questions were used to ask participants how often they were bitten by mosquitoes at different times during the day. At the same time, adult mosquitoes were collected using a Prokopack aspirator. Species were identified and counted. Survey responses were compared with the total number of mosquitoes found in the home using negative binomial regression. More frequent self-reported mosquito bites were significantly associated with higher numbers of collected adult mosquitoes. These associations were driven by the prevalence of the dominant genera, Culex. These results suggest that surveys of perceived mosquito bites relate to actual mosquito presence, making them a potentially useful tool for determining the impact of vector–control interventions on community perceptions of risk but less useful for assessing the risk of nondominant species such as Aedes aegypti. Further work is needed to examine the robustness of these results in other contexts.

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Section: Introductionmentioning

confidence: 99%

Validity of Self-Reported Mosquito Bites to Assess Household Mosquito Abundance in Six Communities of Esmeraldas Province, Ecuador

Glover

Lee

Suing

et al. 2023

The American Journal of Tropical Medicine and Hygiene

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“…For example, mortality rate and incidence of lung cancer are known to be associated with various environmental risk factors and vary across geographic regions. 3,[6][7][8] Henderson et al 9 demonstrated that there is good evidence that spatial dependence exists in survival rates of acute myeloid leukemia patients in northwest England. In a study of prevalence and morbidity of childhood asthma, Li and Ryan 10 showed that accounting for the spatial correlation improved the model.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian adaptive phase II clinical trial design accounting for spatial variation

Guo

Zang

2018

Stat Methods Med Res

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Conventional phase II clinical trials evaluate the treatment effects under the assumption of patient homogeneity. However, due to inter-patient heterogeneity, the effect of a treatment may differ remarkably among subgroups of patients. Besides patient's individual characteristics such as age, gender, and biomarker status, a substantial amount of this heterogeneity could be due to the spatial variation across geographic regions because of unmeasured or unknown spatially varying environmental and social exposures. In this article, we propose a hierarchical Bayesian adaptive design for two-arm randomized phase II clinical trials that accounts for the spatial variation as well as patient's individual characteristics. We treat the treatment efficacy as an ordinal outcome and quantify the desirability of each possible category of the ordinal efficacy using a utility function. A cumulative probit mixed model is used to relate efficacy to patient-specific covariates and geographic region spatial effects. Spatial dependence between regions is induced through the conditional autoregressive priors on the spatial effects. A two-stage design is proposed to adaptively assign patients to desirable treatments according to each patient's spatial information and individual covariates and make treatment recommendations at the end of the trial based on the overall treatment effect. Simulation studies show that our proposed design has good operating characteristics and significantly outperforms an alternative phase II trial design that ignores the spatial variation.

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Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study

Castelló

Pérez‐Gómez

Lora-Pablos

et al. 2020

Environment International

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A comparison between self-reported and GIS-based proxies of residential exposure to environmental pollution in a case–control study on lung cancer

Cited by 4 publications

References 50 publications

Validity of Self-Reported Mosquito Bites to Assess Household Mosquito Abundance in Six Communities of Esmeraldas Province, Ecuador

Validity of Self-Reported Mosquito Bites to Assess Household Mosquito Abundance in Six Communities of Esmeraldas Province, Ecuador

A Bayesian adaptive phase II clinical trial design accounting for spatial variation

Validation of self-reported perception of proximity to industrial facilities: MCC-Spain study

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