IDEAS home Printed from https://ideas.repec.org/a/eee/deveco/v147y2020ics0304387820301346.html
   My bibliography  Save this article

Managing the spread of disease with mobile phone data

Author

Listed:
  • Milusheva, Sveta

Abstract

While human mobility has important benefits for economic growth, it can generate negative externalities. This paper studies the effect of mobility on the spread of disease in a low-incidence setting when people do not internalize their risks to others. Using malaria as a case study and 15 billion mobile phone records across nine million SIM cards, this paper quantifies the relationship between travel and the spread of disease. The estimates indicate that an infected traveler contributes to 1.66 additional cases reported in the health facility at the traveler's destination. This paper develops a simulation-based policy tool that uses mobile phone data to inform strategic targeting of travelers based on their origins and destinations. The simulations suggest that targeting informed by mobile phone data could reduce the caseload by 50 percent more than current strategies that rely only on previous incidence.

Suggested Citation

  • Milusheva, Sveta, 2020. "Managing the spread of disease with mobile phone data," Journal of Development Economics, Elsevier, vol. 147(C).
  • Handle: RePEc:eee:deveco:v:147:y:2020:i:c:s0304387820301346
    DOI: 10.1016/j.jdeveco.2020.102559
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304387820301346
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jdeveco.2020.102559?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jérôme Adda, 2016. "Economic Activity and the Spread of Viral Diseases: Evidence from High Frequency Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 891-941.
    2. Janet Currie & Tom Vogl, 2013. "Early-Life Health and Adult Circumstance in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 1-36, May.
    3. Bénédicte Apouey & Gabriel Picone & Joshua Wilde, 2018. "The Economics of Malaria Prevention," Post-Print halshs-02117636, HAL.
    4. Armand, Alex & Carneiro, Pedro & Locatelli, Andrea & Mihreteab, Selam & Keating, Joseph, 2017. "Do public health interventions crowd out private health investments? Malaria control policies in Eritrea," Labour Economics, Elsevier, vol. 45(C), pages 107-115.
    5. Hong, Sok Chul, 2011. "Malaria and Economic Productivity: A Longitudinal Analysis of the American Case," The Journal of Economic History, Cambridge University Press, vol. 71(3), pages 654-671, September.
    6. Blumenstock, Joshua E. & Eagle, Nathan & Fafchamps, Marcel, 2016. "Airtime transfers and mobile communications: Evidence in the aftermath of natural disasters," Journal of Development Economics, Elsevier, vol. 120(C), pages 157-181.
    7. Sveta Milusheva, 2020. "Predicting Dynamic Patterns of Short-Term Movement," The World Bank Economic Review, World Bank, vol. 34(Supplemen), pages 26-34.
    8. Emily Oster, 2012. "Routes Of Infection: Exports And Hiv Incidence In Sub-Saharan Africa," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1025-1058, October.
    9. Miet Maertens & Bart Minten & Johan Swinnen, 2012. "Modern Food Supply Chains and Development: Evidence from Horticulture Export Sectors in Sub-Saharan Africa," Development Policy Review, Overseas Development Institute, vol. 30(4), pages 473-497, July.
    10. Daniel Björkegren & Darrell Grissen, 0. "Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment," The World Bank Economic Review, World Bank, vol. 34(3), pages 618-634.
    11. Venkataramani, Atheendar S., 2012. "Early life exposure to malaria and cognition in adulthood: Evidence from Mexico," Journal of Health Economics, Elsevier, vol. 31(5), pages 767-780.
    12. Christopher J Thomas & Dónall E Cross & Claus Bøgh, 2013. "Landscape Movements of Anopheles gambiae Malaria Vector Mosquitoes in Rural Gambia," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-7, July.
    13. Alessandro Tarozzi & Aprajit Mahajan & Brian Blackburn & Dan Kopf & Lakshmi Krishnan & Joanne Yoong, 2014. "Micro-loans, Insecticide-Treated Bednets, and Malaria: Evidence from a Randomized Controlled Trial in Orissa, India," American Economic Review, American Economic Association, vol. 104(7), pages 1909-1941, July.
    14. Hong, Sok Chul, 2013. "Malaria: An early indicator of later disease and work level," Journal of Health Economics, Elsevier, vol. 32(3), pages 612-632.
    15. Pascaline Dupas, 2014. "Short‐Run Subsidies and Long‐Run Adoption of New Health Products: Evidence From a Field Experiment," Econometrica, Econometric Society, vol. 82(1), pages 197-228, January.
    16. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    17. Jessica Cohen & Pascaline Dupas & Simone Schaner, 2015. "Price Subsidies, Diagnostic Tests, and Targeting of Malaria Treatment: Evidence from a Randomized Controlled Trial," American Economic Review, American Economic Association, vol. 105(2), pages 609-645, February.
    18. Laxminarayan, Ramanan & Parry, Ian W.H. & Smith, David L. & Klein, Eili Y., 2010. "Should new antimalarial drugs be subsidized?," Journal of Health Economics, Elsevier, vol. 29(3), pages 445-456, May.
    19. Barofsky, Jeremy & Anekwe, Tobenna D. & Chase, Claire, 2015. "Malaria eradication and economic outcomes in sub-Saharan Africa: Evidence from Uganda," Journal of Health Economics, Elsevier, vol. 44(C), pages 118-136.
    20. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    21. Daniel Bjorkegren & Darrell Grissen, 2017. "Behavior Revealed in Mobile Phone Usage Predicts Loan Repayment," Papers 1712.05840, arXiv.org, revised Dec 2019.
    22. Hoyt Bleakley, 2010. "Malaria Eradication in the Americas: A Retrospective Analysis of Childhood Exposure," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 1-45, April.
    23. Stuckler, D. & Basu, S. & McKee, M. & Lurie, M., 2011. "Mining and risk of tuberculosis in sub-saharan Africa," American Journal of Public Health, American Public Health Association, vol. 101(3), pages 524-530.
    24. Achyuta Adhvaryu, 2014. "Learning, Misallocation, and Technology Adoption: Evidence from New Malaria Therapy in Tanzania," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1331-1365.
    25. Jessica Cohen & Pascaline Dupas, 2010. "Free Distribution or Cost-Sharing? Evidence from a Randomized Malaria Prevention Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 1-45.
    26. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    27. Aker, Jenny C. & Ksoll, Christopher, 2019. "Call me educated: Evidence from a mobile phone experiment in Niger✰," Economics of Education Review, Elsevier, vol. 72(C), pages 239-257.
    28. David Cutler & Winnie Fung & Michael Kremer & Monica Singhal & Tom Vogl, 2010. "Early-Life Malaria Exposure and Adult Outcomes: Evidence from Malaria Eradication in India," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 72-94, April.
    29. Adrienne M. Lucas, 2010. "Malaria Eradication and Educational Attainment: Evidence from Paraguay and Sri Lanka," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 46-71, April.
    30. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joanna Wyrobek, 2020. "The Use of Decision Trees for Analysis of the Potential Determinants for the Incidence of Deaths and Cases of Coronavirus (Covid-19) in Different Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 556-566.
    2. Mensah,Justice Tei & Hirfrfot,Kibrom Tafere & Abay,Kibrom A., 2022. "Saving Lives through Technology : Mobile Phones and Infant Mortality," Policy Research Working Paper Series 9978, The World Bank.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Milusheva,Sveta, 2020. "Using Mobile Phone Data to Reduce Spread of Disease," Policy Research Working Paper Series 9198, The World Bank.
    2. Pan, Yao & Singhal, Saurabh, 2019. "Agricultural extension, intra-household allocation and malaria," Journal of Development Economics, Elsevier, vol. 139(C), pages 157-170.
    3. Maria Kuecken & Josselin Thuilliez & Marie-Anne Valfort, 2013. "Large-scale health interventions and education: Evidence from Roll Back Malaria in Africa," Documents de travail du Centre d'Economie de la Sorbonne 13075r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jun 2015.
    4. David E. Bloom & Michael Kuhn & Klaus Prettner, 2022. "Modern Infectious Diseases: Macroeconomic Impacts and Policy Responses," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 85-131, March.
    5. Denis Cogneau & Pauline Rossi, 2019. "Malaria control and infant mortality in Africa," PSE Working Papers hal-01543033, HAL.
    6. Shampa Bhattacharjee & Aparajita Dasgupta, 2022. "Disease Eradication, Infant Mortality, and Fertility Response: Evidence from Malaria Eradication in India," Journal of Development Studies, Taylor & Francis Journals, vol. 58(12), pages 2444-2459, December.
    7. Rossi, Pauline & Villar, Paola, 2020. "Private health investments under competing risks: Evidence from malaria control in Senegal," Journal of Health Economics, Elsevier, vol. 73(C).
    8. Bénédicte Apouey & Gabriel Picone & Joshua Wilde & Joseph Coleman & Robyn Kibler, 2017. "Paludisme et anémie des enfants en Afrique subsaharienne : effet de la distribution de moustiquaires," Revue économique, Presses de Sciences-Po, vol. 68(2), pages 163-197.
    9. Cirera, Laia & Castelló, Judit Vall & Brew, Joe & Saúte, Francisco & Sicuri, Elisa, 2022. "The impact of a malaria elimination initiative on school outcomes: Evidence from Southern Mozambique," Economics & Human Biology, Elsevier, vol. 44(C).
    10. Kitchens, Carl, 2013. "The effects of the Works Progress Administration's anti-malaria programs in Georgia 1932–1947," Explorations in Economic History, Elsevier, vol. 50(4), pages 567-581.
    11. Fink, Günther & Venkataramani, Atheendar S. & Zanolini, Arianna, 2021. "Early life adversity, biological adaptation, and human capital: evidence from an interrupted malaria control program in Zambia," Journal of Health Economics, Elsevier, vol. 80(C).
    12. Veras, Henrique, 2022. "Wrong place, wrong time: The long-run effects of in-utero exposure to malaria on educational attainment," Economics & Human Biology, Elsevier, vol. 44(C).
    13. Sergi Alonso & Khátia Munguambe & Elisa Sicuri, 2017. "Market for Artemether‐Lumefantrine to treat childhood malaria in a district of southern Mozambique," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 345-360, December.
    14. Schuster, Monica & Maertens, Miet, 2013. "Food Standards, Heterogeneous Firms and Developing Countries’ Export Performance," Working Papers 152084, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    15. Jacopo Bonan & Philippe LeMay-Boucher & Michel Tenikue, 2016. "Increasing Anti-Malaria Bednet Uptake Using Information and Distribution Strategies: Evidence from a Randomized Experiment in Senegal," Working Papers 2016.69, Fondazione Eni Enrico Mattei.
    16. Hsiu‐Han Shih & Ming‐Jen Lin, 2018. "Long‐term impacts of early‐life exposure to malaria: Evidence from Taiwan's Eradication Campaign in the 1950s," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1484-1512, October.
    17. Barofsky, Jeremy & Anekwe, Tobenna D. & Chase, Claire, 2015. "Malaria eradication and economic outcomes in sub-Saharan Africa: Evidence from Uganda," Journal of Health Economics, Elsevier, vol. 44(C), pages 118-136.
    18. Viviane Sanfelice, 2022. "Mosquito‐borne disease and newborn health," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 73-93, January.
    19. Jean-Claude Berthelemy & Josselin Thuilliez, 2014. "The economics of malaria in Africa," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01045213, HAL.
    20. B�n�dicte H. Apouey & Gabriel Picone & Joshua Wilde & Joseph Coleman & Robyn Kibler, 2016. "Malaria and Anemia among Children in sub-Saharan Africa: the Effect of Mosquito Net Distribution," Working Papers 0116, University of South Florida, Department of Economics.

    More about this item

    Keywords

    Health; Big data; Epidemics; Mobility; Public policy; Mobile phones;
    All these keywords.

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:deveco:v:147:y:2020:i:c:s0304387820301346. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/devec .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.