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PRWP

Reproducibility package for Can Facebook Ads Prevent Malaria? Two Field Experiments in India

2024
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Reference ID
RR_IND_2024_180
DOI
https://doi.org/10.60572/zfty-n265
Author(s)
Dante Donati, Nandan Rao, Victor Orozco-Olvera, Ana Maria Muñoz-Boudet
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Aug 21, 2024
Last modified
Nov 06, 2024
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    We use a cluster randomized controlled trial to evaluate the impact of a nationwide malaria- prevention advertising campaign delivered through social media in India. We randomly assign ads at the district level and rely on data from two independently recruited samples (N=8,257) and administrative records. Among users residing in solid (concrete) dwellings, where malaria risk is lower, the campaign led to an 11% increase in mosquito net usage and a 13% increase in timely treatment seeking. Self-reported malaria incidence decreased by 44%. Consistently, recorded health facility data indicate a reduction in urban monthly incidence of 6.2 cases per million people, corresponding to 30% of the overall malaria monthly incidence rate. Conversely, we find no impact on households living in non-solid dwellings, which face higher malaria risk, nor among rural settlements where such dwellings are more prevalent. To disentangle if this lack of impact stems from ineffective content or insufficient reach, we conduct an individual-level trial (N=1,542) ensuring campaign exposure for both household types. Our findings indicate an increase in bed net usage and timely treatment seeking for both groups, underscoring the need for improved targeting in social media campaigns to fulfill public health goals.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/178/download/498/README.pdf
    Reproducibility package (data and code) for Can Facebook Ads Prevent Malaria? Two Field Experiments in India
    Title
    Reproducibility package (data and code) for Can Facebook Ads Prevent Malaria? Two Field Experiments in India
    Date
    2024-08
    Dependencies
    All dependencies are stored in the ado folder.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    18 MP

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 10 Enterprise
    • Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz 2.90 GHz (2 processors)
    • Memory available: 32 GB
    • Software version: Stata 18 MP

    Technology requirements

    ~10 minutes runtime

    Reproduction instructions

    To reproduce the results in this package, new users must first download the reproducibility package. Then, they should open the 00_Master.do file and update the file paths to match their directory structure. Once the paths are correctly set, users can run the code in 00_Master.do to replicate the results from the original analysis.

    Data

    Datasets
    Indian Health Data
    Name
    Indian Health Data
    Note
    Source: Indian Health Management Information System (HMIS). Located at: Chhattisgarh2020_2021, Chhattisgarh2021_2022, Jharkhand2020_2021, Jharkhand2021_2022, UttarPradesh2020_2021, UttarPradesh2021_2022, subdistricts_feature.dta. Note: The data used were originally obtained from the Indian Health Management Information System (HMIS) website, which is now inaccessible. The HMIS data are currently available through the Open Government Data Platform India, but the format of the data has changed (Links below). It is important to note, that since the data format has changed, the code will not run with the current version of the data without adaptation. The provided code will run with the included data files in the package. Refer to the README for further details.
    Access policy
    Published with the package
    License
    Government Open Data License - India
    License URL
    https://ap.data.gov.in/godl#Definitions_a
    Data URL
    Chhattisgarh: https://www.data.gov.in/catalog/indicator-wise-monthly-datasets-sub-district-level-hmis-chhattisgarh, Jharkhand: https://www.data.gov.in/catalog/indicator-wise-monthly-datasets-sub-district-level-hmis-jharkhand, Uttar Pradesh: https://www.data.gov.in/catalog/indicator-wise-monthly-datasets-sub-district-level-hmis-uttar-pradesh
    Malaria Survey Data
    Name
    Malaria Survey Data
    Note
    Located at: 01_RawData/full_panel.csv, individual_effect.csv, xsection.csv and base-cities.csv. These datasets were created by the research team based on survey data collected from individuals. They will be made available in the Microdata Library in the upcoming months.
    Access policy
    Published with the package
    Data URL
    Forthcoming at https://microdata.worldbank.org
    Data statement

    All data sources are publicly available and included in the reproducibility package. However, the version of the data used in this paper is no longer available in the same format as it was downloaded in May 2023. Please refer to the README and the data entry below for more details.

    Description

    Output
    Can Facebook Ads Prevent Malaria? Two Field Experiments in India
    Type
    Working Paper
    Title
    Can Facebook Ads Prevent Malaria? Two Field Experiments in India
    Authors
    Dante Donati, Nandan Rao, Victor Orozco-Olvera, Ana Maria Muñoz-Boudet
    Description
    Policy Research Working Paper (PRWP) 10967
    URL
    http://documents.worldbank.org/curated/en/099503111052435137/IDU135b5005d13a43148e91ad3c16d50d6ae54f8
    DOI
    https://doi.org/10.1596/1813-9450-10967
    Authors
    Author Affiliation Email
    Dante Donati Columbia Business School dd3137@gsb.columbia.edu
    Nandan Rao Virtual Lab and UAB nandan.rao@barcelonagse.eu
    Victor Orozco-Olvera World Bank vorozco@worldbank.org
    Ana Maria Muñoz-Boudet World Bank amunozboudet@worldbank.org
    Date of production

    2024-08

    Scope and coverage

    Geographic locations
    Location Code
    India IND

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Dante Donati Columbia Business School dd3137@gsb.columbia.edu
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DIME World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2024-08-15

    Document version

    1

    Citation

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