Identification of Risk Determinants of Dengue Transmission Through Landscape Analysis (IRDDENGUELA)

March 4, 2024 updated by: Héctor Armando Rincón León, Instituto Mexicano del Seguro Social

Identification of Risk Determinants of Dengue Transmission Through Landscape Analysis in the Neighborhood "El Vergel", Tapachula, Chiapas

This retrospective observational study aims to determine the probability of the risk of dengue transmission through a model based on epidemiological, entomological, socioeconomic, demographic, and landscape variables in the El Vergel neighborhood in the municipality of Tapachula, Chiapas, Mexico.

The main question it aims to answer is:

1. Is it possible to identify the risk determinants of dengue transmission by developing a probabilistic model based on the landscape analysis of epidemiological, entomological, sociodemographic, and landscape variables in an endemic urban area of the municipality of Tapachula, Chiapas, Mexico? Participants will be selected from a registry obtained from the Secretary of Health of cases of dengue fever, which will be contrasted with the entomological, socioeconomic, demographic, and landscape variables in the El Vergel neighborhood in Tapachula, Chiapas, Mexico. They will be not contacted or sampled for biologic testing in any shape or form, only the data already collected from the health services will be used.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

Identification of the risk determinants of dengue transmission through landscape analysis in the "El Vergel" neighborhood, Tapachula, Chiapas, Mexico Dengue is a disease transmitted mainly by the Ae. aegypti present in our region, despite vector surveillance and control activities, the circulation of the virus is constant and new strategies are required that contribute to reducing the incidence of the disease, which can be fatal. On the other hand, drones are tools already used in precision and security agriculture, among others; by means of them, it is possible to obtain high-resolution images of large areas of land. This work will use these images in combination with epidemiological, entomological, socioeconomic, and demographic data to identify the risk factors for dengue transmission in an urban area of the city of Tapachula and will generate a model that will allow defining the risk areas in the area. study.

Objective: To determine the probability of the risk of dengue transmission through a model based on epidemiological, entomological, socioeconomic, demographic, and landscape variables in the El Vergel neighborhood in the municipality of Tapachula, Chiapas.

Material and methods: Information from entomological, housing condition, and sociodemographic surveys of the El Vergel neighborhood, Tapachula, Chiapas, obtained during the period from November to December 2019, will be used. In addition to epidemiological information on the incidence of dengue and the placement of ovitraps in the study area during the sampling period, six months before and six months after. Specialized cartography will be used, made from fine-scale aerial photographs taken at a height of 100m by a multirotor drone with six DJI Matrice 600 model rotors with two types of cameras, a Zenmuse X5 model that captures images in the visible spectrum at 16 MP and a multispectral camera with five spectral bands MicaSense RedEdge -MX with RGB sensor with a spatial resolution of 5 cm per pixel. The images were taken simultaneously with the entomological, socioeconomic, and demographic surveys. Georeferenced orthophoto cartographic maps, digital surface models, digital terrain models, and specialized cartography of vegetation indices will be used: Normalized Difference Vegetation Index (NDVI), Difference Vegetation Index Green Normalized (GNDVI), RedEdge Normalized Difference Vegetation Index (NDVIRe) and Chlorophyll Index (CIGreen), height and diameter of the trees present in the study area, to take various variables related to the landscape (environmental variables). The data analysis will be based on a mathematical model based on the principle of partial least squares, to determine the spatial association between the epidemiological indicators (number and georeferencing of cases), entomological (immature and adult stages of Ae. aegypti), condition index housing, sociodemographic and landscape data.

Period: 6 months Type of study: Cross-sectional, retrospective, observational. Selection criteria: The construction of databases will consider the houses of Colonia El Vergel, Tapachula, Chiapas, where its inhabitants of legal age, accepted through informed consent to participate in the surveys and collection of entomological and sociodemographic data in situ and aerial photographs at a height of 100m away. Homes that do not have residents will be grounds for exclusion, and those in which the participants do not allow the collection of complete information will be eliminated.

Sample size and sampling: A multi-stage stratified sampling will be used to select dwellings. The sample size will be obtained according to the sample formula for proportions, which was calculated in n=196 dwellings.

Results: A probabilistic risk model will be generated based on the variables of different natures used and maps will be built to identify the areas of greatest risk for dengue transmission in the study area.

Conclusion: Generate scientific evidence that allows maximum use of these advances for the benefit of populations. The determination of risk areas using specialized cartography carried out using high-resolution aerial photography using drones, has already been demonstrated and recently published.

Study Type

Observational

Enrollment (Actual)

196

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Mexico
    • Chiapas
      • Tapachula, Chiapas, Mexico, 30700
        • Hospital General de Zona No. 1

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The Health District VII (DSVII) of the State Health Services (SESAs) in Chiapas, Mexico, will be asked for the database of dengue cases in the study area during the time of the implementation of the surveys (November 19 to December 5 of 2019), six months before and six months after the said period. They will be georeferenced through field visits, through the measurement of a geographical point in front of the house.

Description

Inclusion Criteria:

  • The epidemiological information of all suspected cases of dengue with the onset of symptoms in the period from June 2019 to May 2020 that have a record on the platform of the National System for Epidemiological Surveillance will be included.

Exclusion Criteria:

  • Records that do not have sufficient information for their georeferencing will be excluded.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Main
Information from entomological, housing condition, and sociodemographic surveys of the El Vergel neighborhood, Tapachula, Chiapas, obtained during the period from November to December 2019, will be used
Other: Risk Assessment
A probabilistic risk model will be generated based on the variables of different natures used and maps will be built to identify the areas of greatest risk for dengue transmission in the study area

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Risk
Time Frame: One year, six months previous to the survey application (November-December 2019) and six months after
A probabilistic risk model will be generated based on the variables of different natures used and maps will be built to identify the areas of greatest risk for dengue transmission in the study area
One year, six months previous to the survey application (November-December 2019) and six months after

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Instituto Mexicano del Seguro Social

Collaborators

Instituto Nacional de Salud Publica, Mexico
Centro de Investigación en Matemáticas A.C. (CIMAT)

Investigators

  • Principal Investigator: Héctor A Rincón León, PhD, Instituto Mexicano del Seguro Social

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2023

Primary Completion (Actual)

July 31, 2023

Study Completion (Actual)

January 30, 2024

Study Registration Dates

First Submitted

May 26, 2023

First Submitted That Met QC Criteria

June 5, 2023

First Posted (Actual)

June 7, 2023

Study Record Updates

Last Update Posted (Estimated)

March 5, 2024

Last Update Submitted That Met QC Criteria

March 4, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • F-CNIC-2023-060

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

The information of the participating subjects will only be used for the selection of homes with dengue cases, they will not be contacted or any sample will be obtained, or any drug will be used in them. Therefore, the personal information of the subjects will not be shared in order not to compromise their confidentiality.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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