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SARS-CoV-2 in Argentina: Lockdown, mobility, and contagion
1Departament of Economics, Instituto de Investigaciones Económicas y Sociales del Sur (IIESS), Universidad Nacional del Sur, Bahía Blanca, Buenos Aires, Argentina.
Argentina's long COVID-19 lockdown reduced mobility but failed to curb contagion rates. Effectiveness waned over time without additional measures, with infections resurging as mobility slowly increased.
Area of Science:
- Epidemiology
- Public Health Policy
- Econometrics
Background:
- Argentina implemented one of the world's longest COVID-19 lockdowns (6 months).
- Public compliance decreased due to significant economic and social costs.
- Debate exists regarding the effectiveness of prolonged mandatory lockdowns for severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2).
Purpose of the Study:
- To analyze the relationship between mobility and COVID-19 contagion at a provincial level in Argentina.
- To model the impact of political discussions, protests, and crowd events on regional contagion.
- To evaluate the long-term effectiveness of strict lockdown measures.
Main Methods:
- Panel data modeling using fixed, random, and pooled effects.
- Analysis of provincial-level data on mobility and severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) contagion.
- Inclusion of variables representing political factors and public gatherings.
Main Results:
- Lockdown policies effectively reduced population mobility.
- Reduced mobility did not translate into a significant decrease in the rate of contagion.
- Strict lockdowns showed short-term effectiveness, but this diminished over time without complementary mitigation strategies.
- Contagion rates exhibited temporal displacement, resurging with gradual increases in mobility.
Conclusions:
- Prolonged mandatory lockdowns in Argentina were insufficient to control COVID-19 contagion.
- Sustained mobility reduction requires integrated mitigation measures beyond simple lockdown enforcement.
- Policy evaluation must consider temporal dynamics and the impact of social and political factors on disease transmission.
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