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Lives Versus Livelihoods: The Epidemiological, Social, And Financial Affect Of COVID-19 In Latin America And The Caribbean | Well being Affairs Journal

Latin America and the Caribbean was one of many areas with the best COVID-19-related loss of life toll worldwide, regardless of stringent mobility restrictions that triggered giant financial losses.1 These insurance policies, applied early within the pandemic, had impacts on staff by means of the abrupt discount of working hours in a large fraction of the working inhabitants. The short-term prices of those measures, primarily when it comes to productiveness losses and social isolation, usually have been so excessive that coverage makers and people couldn’t maintain them, which rendered them more and more ineffective over time.

This examine evaluated end result measures corresponding to deaths, hospitalizations, lack of gross home product (GDP), and the distributional influence in accordance with intercourse and revenue degree of public well being and social measures applied to mitigate the COVID-19 epidemic in Argentina, Brazil, Jamaica, and Mexico, making an allowance for vaccination rollout. We selected 2021 as a result of that 12 months produced the best loss of life toll within the area. Specifically, we developed an built-in epidemiological-economic mannequin to judge how the mitigation insurance policies adopted by governments affected the trajectory of the pandemic and the financial system as a complete.

Examine Knowledge And Strategies

Our mannequin, primarily based on SEIR transmission fashions, the place a inhabitants is split into the noninfected and vulnerable (S), the uncovered (E), the contaminated (I), and the recovered (R), was designed to estimate the influence of COVID-19 in numerous settings.2 Constructing on our earlier fashions,3,4 for this mannequin we added the macroeconomic and social influence of public well being and social measures, adjusted for the totally different vaccination methods in every nation. Particularly, we included the financial rationale of DAEDALUS, a mannequin that computes impacts on a variety of SARS-CoV-2 management methods on financial manufacturing, employment, infections, hospitalizations, and deaths,5 in addition to different fashions.6 First, when the precedence in a given nation is to curb the case curve (a “safety-focused” or health-maximizing strategy), the financial system should endure a extremely stringent and prolonged lockdown and a possible sizable decline in GDP. Second, if the coverage maker has extra of an “economy-focused” strategy, making an attempt to attenuate financial losses, the mortality fee will doubtless enhance. Our mannequin additionally included “lockdown fatigue,” or the diploma of compliance with public well being and social measures, to measure the financial influence of the pandemic on the sectoral degree in a real-life setting.

Knowledge Sources

We carried out an exhaustive literature search that gathered demographic knowledge and knowledge on COVID-19 instances and deaths from the United Nations,7 the World Well being Group,8 nationwide knowledge units,9 and Our World in Knowledge.10 SARS-CoV-2 variant predominance in 2021 was estimated in Argentina,11 Brazil,12 Jamaica,13 and Mexico.14 Important actions have been obtained from the Worldwide Financial Fund’s coverage responses to COVID-1915 and from nationwide governments’ web sites; labor-force shares and intercourse and revenue distribution throughout financial sectors have been retrieved from family surveys for every nation,1618 aside from Jamaica, for which such decomposition was not out there. We used the Worldwide Customary Industrial Classification of All Financial Actions decomposition19 and calibrated the share of every of the sixteen totally different financial sectors and classes per nation, together with the general public sector, corresponding to agriculture, manufacturing trade, wholesale and retail commerce, transportation, training, and social safety and well being. The mannequin’s enter and output matrices have been calibrated utilizing knowledge from the Group for Financial Cooperation and Improvement enter and output matrix estimates for 2019.20 The stringency of public well being and social measures was calculated utilizing the Oxford COVID-19 Authorities Response Tracker.21

Strategies

Our mannequin comprised an epidemiological and an financial framework. The previous was an extension of the SEIR mannequin, to which we added the influence of vaccination methods and the differential influence of public well being and social measures or immunization methods on age teams. We included particular age-strata mixing patterns matrices to characterize the social interactions and efficient contact charges at every of the 4 settings we included: residence, college, work (together with transportation), and neighborhood. The influence of public well being and social measures, corresponding to faculties closing, staying at residence, shielding the aged, necessary masks carrying, or public transport restrictions, was modeled as a modifier of those contact matrices. The influence of public well being and social measures on the contact and effectiveness charges at every setting was primarily based on the work of Nicholas Davies and colleagues.22 Extra particulars on vaccination methods and the influence of coronavirus variants are in on-line appendix 1.23

On high of the epidemiological framework, we developed an financial framework to seize two key options of the COVID-19 pandemic: the trade-off between the stringency of mobility restrictions and financial prices, and the financial influence of persistent lockdowns on the inhabitants. We targeted on the dynamics of working-age adults, excluding school-age kids and the inhabitants older than age sixty-five, who make a negligible contribution to the GDP.

On the idea of the same conceptual framework and strategy utilized in DAEDALUS,5 we assumed that stringent mobility measures affected working hours on the intensive degree—that’s, how a lot energetic staff contribute to financial output. For that reason, we solely thought-about folks actively taking part within the labor market (that’s, formal, casual, and self-employed staff).

We assumed that the federal government decided, originally of every interval, the diploma to which totally different financial sectors have been uncovered to mobility restrictions. For the entire nonessential sectors, the federal government determined whether or not they might function at full or partial capability or whether or not they need to shut. Within the mannequin, this translated right into a sure proportion of the energetic workforce inside every sector which will have been partially or absolutely prevented from working in any given interval, relying on the extent to which particular sectors have been closed on account of the general public well being and social measures. Thus, the influence on the labor market was captured by adjusting working hours. This took into consideration the work-from-home functionality of various sectors. At every choice interval, the coverage maker selected the diploma of office closure, which might take one of many following values: no measures; really helpful (discretionary) closure; closure of some actions; or closure of all actions besides necessities. Crucially, the productive sectors have been engaged each in financial manufacturing and within the unfold of an infection, so long as manufacturing required working mobility. On this regard, extra work hours elevated the chance of getting contaminated, which meant a excessive fee of “work contacts” within the contact matrix of the epidemiological framework.

As a result of the financial prices weren’t evenly distributed throughout the inhabitants, we disaggregated the influence by intercourse and revenue degree. To account for the influence on each poverty charges and intercourse, we leveraged the sectoral decomposition of the financial system. We used knowledge from family surveys to map the revenue and intercourse decomposition into every of the sixteen sectors of the financial system. Then, conditioning on the “essentiality” of the sectors, we computed the revenue loss and the influence on the mixture gender hole over time.

Lastly, our built-in mannequin accounted for lockdown fatigue24—an idea that helps clarify why stringent lockdowns have been unable to curb instances and deaths. The time period conflates each the psychosocial points of isolation, together with residing situations corresponding to overcrowding and in-house facilities, and a rising necessity to earn that’s notably related for low-income and casual households with out various sources of revenue. A consequence of lockdown fatigue was a rise in noticed versus anticipated mobility earlier than the stringent measures have been relaxed, notably amongst casual staff.

On this method, lockdown fatigue limits the capability of the federal government to cut back mobility after a chronic interval of restrictions. In distinction, a rise within the fee of every day deaths, by means of a “concern issue,” causes folks to cut back their mobility and reverse lockdown fatigue. This self-regulation of individuals could reinforce the stringency of the measure or, alternatively, restrict noncompliance. First, from the financial to the epidemiological frameworks, the financial framework decided the working hours that have been an enter to figuring out work-related contacts and, in flip, the unfold of the virus. Thus, working hours, an output from the financial bucket, have been an enter for the epidemiological bucket, as a discount of hours labored within the office affected the contact matrix (for instance, work contacts or contacts in public transport). Second, from the epidemiological to the financial frameworks, lockdown fatigue was additionally associated to the every day reported deaths by means of the concern issue: There was a higher adherence to public well being and social measures when there have been a higher variety of deaths. The simulation of the 2 fashions ran recursively, as could be seen in appendix 2.23

Utilizing this built-in epidemiological-economic mannequin, we in contrast the precise variety of deaths and GDP loss in every nation studied with various counterfactual simulated situations of deaths and GDP loss that may have occurred if the federal government had applied much less stringent public well being and social measures, reflecting the trade-offs of lives versus livelihoods.

Calibrations And Counterfactuals

First, to calibrate the mannequin, we mapped the sequence of public well being and social measures really applied on the nation degree in 2021. This sequence yielded each a path for cumulative deaths over this 12 months and an estimation of the GDP loss. On the whole, the nations’ governments imposed stringent measures earlier in 2021. Then, as vaccines grew to become out there and vaccination charges accelerated, governments have been capable of ease mobility restrictions within the second half of 2021. These measures decided benchmarks for deaths and GDP loss that we in contrast with various simulated situations.

Second, within the counterfactual situations, we in contrast deaths and GDP loss if the federal government had applied much less stringent public well being and social measures. On this case, deaths would have elevated and GDP loss would have been decreased.

To handle uncertainty, we designed a sequence of situations formed in accordance with public well being and social measure bundles that included variations in a key set of parameters. Thus, we displayed totally different situations for the general public well being and social measures applied. The mannequin was calibrated to replicate precise mortality curves in every nation throughout 2021. As well as, we confirmed situations through which the general public well being and social measures have been regularly eased.

Third, we have been capable of quantify the totally different impacts of those various situations (a “sacrifice ratio” reflecting epidemiologic and financial trade-offs), answering by how a lot much less stringent public well being and social measures would have decreased the GDP loss, however at a value of an rising loss of life rely, and by how a lot GDP loss every nation would face to cut back every day deaths by a specific amount.

In different phrases, epidemiologic and financial trade-offs have been decided by the sequence of public well being and social measures really applied by the governments, computing the related deaths and GDP loss. Then we simulated various situations for the general public well being and social measures, assuming much less stringent (and extra stringent) situations, and we estimated the related outcomes when it comes to deaths and GDP loss (see appendix 3 for extra particulars on the financial element of the mannequin).23

Limitations

Our examine had a number of limitations. First, the hyperlinks between the epidemiological and financial frameworks could possibly be additional prolonged to seize different nuances. As an example, the epidemiological framework didn’t profit from the sectoral disaggregation options within the financial framework, whereas the latter made a number of simplifications relating to age segmentations. Second, we assumed that the populations of preschoolers, college students, retired folks, and adults ages 20–64 who weren’t within the labor power, along with the unemployed, weren’t uncovered to work contact. Third, we assumed that labor disruptions have been absolutely reversible, which is a conservative analysis of the particular financial influence of public well being and social measures. Fourth, we didn’t account for variations within the social and financial construction of the nations, in addition to within the fiscal response to include the financial toll of the pandemic. Fifth, we didn’t take into account reductions in labor as a result of illness or loss of life on account of COVID-19, though we assumed that its influence was small. Lastly, we didn’t carry out sensitivity analyses associated to single or a number of parameters, however all key parameters are customizable, permitting coverage makers to discover the affect of uncertainty round them.

Examine Outcomes

The principle financial indicators for Argentina, Brazil, Jamaica, and Mexico for the interval 2020–21 are proven in appendix 4.23 Be aware that the GDP per capita ranged between $23,737 (buying energy parity) in Argentina to $10,938 (buying energy parity) in Jamaica. Furthermore, the share of casual staff ranged between 20 p.c in Brazil and 43 p.c and 45 p.c in Mexico and Jamaica, respectively.

The outcomes of the mannequin are proven in displays 14. They need to be interpreted as how a lot GDP loss a coverage maker decides is bearable to cut back the loss of life rely. The ratio between these variables (change within the loss of life rely and GDP loss) constitutes a “sacrifice ratio.” The counterfactual situations can be utilized as a benchmark. Nevertheless, the present specification can’t be used to find out the optimum timing and depth of the general public well being and social measures as a result of these measures will in the end depend upon the preferences of customers.

Exhibit 1 Mannequin outcomes: trade-offs between every day loss of life counts and financial efficiency related to COVID-19-era mobility restrictions in 4 Latin American and Caribbean nations, 2021

SOURCE Authors’ calculations primarily based on knowledge from the sources in notes 922 in textual content. NOTES The slope of the trade-off traces represents how a lot gross home product (GDP) a coverage maker has to surrender to cut back the loss of life rely. The steeper the slope, the more serious when it comes to trade-offs. R2 statistics for every nation are as follows: Argentina, 0.972; Brazil, 0.982; Jamaica, 0.944; and Mexico, 0.937.

Exhibit 2 Mannequin outcomes: change in poverty charges throughout COVID-19 restrictions in 3 Latin American nations, precise and counterfactual situations, 2021

Exhibit 2

SOURCE Authors’ calculations primarily based on knowledge from the sources in notes 922 in textual content. NOTES Knowledge from Jamaica weren’t out there. Poverty was outlined by the share of the inhabitants that lay beneath the poverty line set by every nation. Variations in poverty charges between the bottom case and the counterfactual situation in every nation are wider with higher stringency of public well being and social measures. Because the restrictions ease, the traces for every nation are inclined to converge. The precise situation (base case) was thought-about to be the simulation primarily based on insurance policies really applied by the nations. The “counterfactual” situation thought-about the adoption of the bottom degree of restrictions all year long.

Exhibit 3 Mannequin outcomes: COVID-19-related revenue loss in 3 Latin American nations, by intercourse, 2021

Exhibit 3

SOURCE Authors’ calculations primarily based on knowledge from the sources in notes 922 in textual content. NOTES Knowledge from Jamaica weren’t out there. We noticed essential revenue losses in each women and men throughout 2021, notably originally of the 12 months, when the general public well being and social measures have been stricter. As restrictions are eased alongside the 12 months, the revenue losses have a tendency to say no. We estimated the differential weighted variation after public well being and social measures between each sexes.

Exhibit 4 Mannequin outcomes: COVID-19-related revenue loss in 3 Latin American nations, by revenue degree, 2021

Exhibit 4

SOURCE Authors’ calculations primarily based on knowledge from the sources in notes 922 in textual content. NOTES Knowledge from Jamaica weren’t out there. Earnings ranges have been derived from family surveys for every nation. We estimated the differential weighted variation after public well being and social measures between upper- and lower-income earners.

We analyzed the epidemiologic and financial trade-offs for Argentina, Brazil, Jamaica, and Mexico—that’s, how a lot GDP loss every nation must face to cut back every day deaths by a specific amount. The trade-off is proven in a scatterplot that depicts the simulated situations whereas maintaining the diploma of stringency to every of the attainable values fixed (exhibit 1). Though there was a variety of uncertainty round this “sacrifice ratio,” we discovered stark variations among the many nations. Specifically, lowering the GDP loss on the margin for Argentina and Mexico, by lowering the depth of the mobility restrictions, would have elevated the loss of life rely extra in contrast with Jamaica and Brazil. These variations could replicate disparities within the financial construction (such because the relative shares of the manufacturing and casual sectors in every nation), the energy of the well being system, or the magnitude of the sooner COVID-19 wave, amongst different elements (see appendix 5).23

Exhibit 1 exhibits the comparability of trade-off slopes throughout nations. The trade-off is captured by the slope of the traces—the steeper the slope, the more serious when it comes to epidemiologic and financial trade-offs. In our examine, the trade-off slope of Argentina was −0.51, whereas for Brazil the trade-off slope was −0.31. That’s, lowering the GDP loss on the margin by 1 p.c would have elevated the every day loss of life rely by 0.51 per million in Argentina however solely 0.31 per million in Brazil. To discover the magnitude of the trade-offs, we in contrast the precise situation in every nation (base case) with the least-restrictive situation in every day deaths per million saved. Each day deaths per million saved have been 257 in Argentina (5.9 every day deaths per million), 1,180 in Brazil (5.5 every day deaths per million), 18 in Jamaica (6.3 every day deaths per million), and 465 in Mexico (3.7 every day deaths per million) (knowledge not proven).

The cross-national variations between the trade-offs could be decomposed into two options: the slope and the origin of the traces. The slope of the trade-off traces represents how a lot GDP a coverage maker has to surrender to cut back the loss of life rely. Two elements enhance the slope of the traces: the share of contact-intensive (providers) sectors within the GDP and the share of casual staff. The origin of the traces could replicate disparities within the financial construction, energy of the well being system, and magnitude of the sooner COVID-19 waves, amongst different elements.

We additionally present the influence of trade-offs on numerous social indicators in three of the 4 nations (knowledge for Jamaica weren’t out there). For the poverty indicator, exhibit 2 exhibits that when public well being and social measures have been extra stringent (as in January 2021), the hole between the bottom case and the counterfactual situations (much less stringent restrictions) was wider. The hole narrowed as restrictions have been eased towards the tip of 2021. The preliminary hole in Brazil was partly pushed by the decrease mortality within the counterfactual situation. For Argentina and Mexico, the convergence occurred round September and October 2021, reflecting the relief of public well being and social measures.

Concerning impacts of public well being and social measures on revenue by intercourse (exhibit 3), we noticed related revenue loss amongst ladies and men, notably originally of the 12 months, when public well being and social measures have been extra stringent. We discovered no important distinction by intercourse amongst nations, however we did observe a small distinction between women and men in Argentina that might replicate the uneven intercourse composition of the labor power throughout sectors. This discovering contradicts the assumption that girls work in sectors with the next fee of casual employment and usually tend to lose their jobs or cut back their working hours in contrast with males.

We additionally examined the impacts of public well being and social measures on revenue by revenue degree (exhibit 4). Though the distinction within the influence on upper- and lower-income staff was not important, the outcomes counsel that within the case of upper-income staff, the adversarial impact was considerably tempered by their decrease publicity to contact-intensive sectors and their higher capacity to transition to telework.

Dialogue

An essential concern of the postpandemic debate is how you can calibrate public well being and social measures to cut back financial and social prices.

An essential concern of the postpandemic debate is how you can calibrate public well being and social measures, in a context of unprecedented uncertainty, to cut back financial and social prices. This query is especially related as a result of public well being and social measures have been, till the vaccine rollout was extra in depth, the one levers out there to coverage makers. On the identical time, the measures’ short- and long-term impacts have been additionally unsure when it comes to their outcomes, and arguments in favor of stringent restrictions have been usually rejected due to their collateral financial prices.

Among the many 4 nations we studied, Argentina displayed the next GDP loss and decrease mortality in contrast with Brazil, Jamaica, and Mexico, highlighting the short-term trade-off in that nation. We additionally noticed a lesser influence on lower-income staff in Argentina, Brazil, and Mexico.

Different researchers have examined the financial and epidemiological trade-offs inherent in COVID-19 response. An identical SEIR mannequin was used for establishing COVID-19 incidence in Dublin, Eire, offering a framework for evaluating well being intervention prices.25 This mannequin was capable of characterize totally different types of lockdown which will have affected particular age teams in a different way. Much like our mannequin, social interactions have been represented by means of age group contact matrices, which could possibly be modified utilizing out there knowledge and have been thus regionally tailored. Social interactions present the totally different financial prices and influence on GDP for the nation in every lockdown interval. Sedona Sweeney and colleagues26 created an financial mannequin to simulate the influence of lockdown measures in Pakistan, Georgia, Chile, the UK, the Philippines, and South Africa. The researchers thought-about the influence of lockdown when it comes to capacity to socially distance, in addition to revenue loss throughout lockdown. They discovered that individuals in lower-socioeconomic-status quintiles have been persistently extra more likely to have been uncovered to higher well being or financial threat throughout lockdown throughout the entire nations studied. In a cross-national evaluation, Mohamed Jalloh and colleagues discovered that larger public expenditure on well being, quite than GDP per capita, was largely related to much less stringency of public well being and social measures all through the pandemic.27 Utilizing a mannequin to evaluate the financial influence of interventions, Jung Eun Kim and colleagues28 estimated that the velocity of vaccine provide was an essential consider offsetting the influence of the COVID-19 epidemic on GDP losses as a result of social distancing.

One of many key contributions of our mannequin is permitting the comparability of various insurance policies and the way they affect trade-offs throughout nations. Our outcomes confirmed that the financial influence and loss of life toll have been uneven throughout nations and that the variations have been associated not solely to the pandemic trajectory, public well being and social measures, and vaccination uptake but in addition to variations within the nations’ socioeconomic buildings, together with well being care methods, in addition to within the fiscal responses to include the financial toll of the pandemic.

You will need to take into account the potential impact of variations within the demographic buildings of the nations we examined. On this context, the dynamics of the epidemic could have been influenced by the totally different demographic buildings of nations which will replicate totally different ranges of interplay between age teams and due to this fact totally different patterns of social interplay (and thus totally different contact charges) that exist within the nations. As well as, totally different lethality by age and totally different vaccination methods (in accordance with age teams) must also be thought-about.

An essential benefit of our mannequin was to supply a unified framework to quantify the short-run trade-off between lives and livelihoods.

On this regard, an essential benefit of our mannequin was to supply a unified framework to quantify the short-run trade-off between lives and livelihoods—that’s, the trade-off between the epidemiological and socioeconomic impacts of public well being and social measures. Specifically, the mannequin might simulate the every day deaths and financial prices stemming from the COVID-19 pandemic and the insurance policies imposed to include its unfold, and it included a concentrate on two extra weak teams: girls and low-income households. Furthermore, the mannequin was versatile sufficient to permit for the consequences of various SARS-CoV-2 variants and the influence of vaccination on the transmission and hospitalization of sufferers, which in flip have an effect on the general public well being and social measures imposed by the nations.

In analyses not reported right here, we discovered that the coverage trade-off could possibly be considerably improved with focused pharmaceutical insurance policies, corresponding to elevated vaccination protection to cut back COVID-19 influence. Additionally, our intertwined evaluation of the totally different insurance policies explicitly included the idea of lockdown fatigue24 to seize the behavioral response of the inhabitants to stringent and protracted mobility restrictions, which grew to become regularly much less environment friendly. Certainly, one of many causes that protracted stringent lockdowns didn’t cease the pandemic could also be associated to lockdown fatigue and the need for low-income households to have interaction in financial exercise in low- and middle-income nations.

Lastly, proof exhibits that COVID-19’s influence has exacerbated current revenue inequalities.28 Our mannequin was capable of account for the pandemic influence on poverty charges and reproduce the pandemic’s regressive influence.

Coverage makers have been restricted in making strategic choices in the course of the pandemic. By assuming the same exterior context (that’s, related pandemic shock and availability and entry to vaccines), our mannequin permits for a comparability of the trade-off between lives and livelihoods. Certainly, the mannequin might readily be tailored to different nations, primarily based on knowledge availability, permitting assessments of how the trade-off was influenced by country-specific points. Equally, one might check whether or not the socioeconomic influence of COVID-19-related measures was larger for low-income nations. Lastly, the mannequin is amenable to simulations of different restriction insurance policies, and, particularly, of various stringency-duration pairs that, by means of the presence of lockdown fatigue and vaccination uptake, could attain totally different epidemiological outcomes.

Our mannequin is publicly out there, and customers can customise key parameters and set simulated situations for various combos of insurance policies.29

Conclusion

Coverage makers want to contemplate not solely the epidemiological influence but in addition the macroeconomic and social influence of strategic responses to pandemics and gauge their response and the calibration of their public well being and social measures to guard each lives and livelihoods. Though COVID-19 is transitioning to an endemic stage, it should stay essential to proceed to adapt public well being and social measures to occasional surges of this or different viral pandemics which will come up sooner or later.

ACKNOWLEDGMENTS

This analysis was offered on the fifteenth Worldwide Well being Economics Affiliation World Congress on Well being Economics in Cape City, South Africa, July 8–12, 2023. The authors acknowledge grant assist for this work from the World Well being Group and the Inter-American Improvement Financial institution. That is an open entry article distributed in accordance with the phrases of the Artistic Commons Attribution (CC BY-NC-ND 4.0) license, which allows others to distribute this work supplied the unique work is correctly cited, not altered, and never used for industrial functions. See https://creativecommons.org/licenses/by-nc-nd/4.0/. To entry the authors’ disclosures, click on on the Particulars tab of the article on-line.

NOTES

  • 1 Msemburi W, Karlinsky A, Knutson V, Aleshin-Guendel S, Chatterji S, Wakefield J. The WHO estimates of extra mortality related to the COVID-19 pandemic. Nature. 2023;613(7942):130–7. Crossref, MedlineGoogle Scholar
  • 2 Lenzen M, Li M, Malik A, Pomponi F, Solar Y-Y, Wiedmann Tet al. World socio-economic losses and environmental positive aspects from the coronavirus pandemic. PLoS One. 2020;15(7):e0235654. Crossref, MedlineGoogle Scholar
  • 3 Santoro A, López Osornio A, Williams I, Wachs M, Cejas C, Havela Met al. Improvement and utility of a dynamic transmission mannequin of well being methods’ preparedness and response to COVID-19 in twenty-six Latin American and Caribbean nations. PLOS Glob Public Well being. 2022;2(3):e0000186. Crossref, MedlineGoogle Scholar
  • 4 Augustovski F, Bardach A, Santoro A, Rodriguez-Cairoli F, López-Osornio A, Argento Fet al. Price-effectiveness of COVID-19 vaccination in Latin America and the Caribbean: an evaluation in Argentina, Brazil, Chile, Colombia, Costa Rica, Mexico, and Peru. Price Eff Resour Alloc. 2023;21(1):21. Crossref, MedlineGoogle Scholar
  • 5 Haw D, Christen P, Forchini G, Bajaj S, Smith P, Hauck Ok. DAEDALUS: an economic-epidemiological mannequin to optimize financial exercise whereas containing the SARS-CoV-2 pandemic [Internet]. London: Imperial School London; 2020 Nov 16 [cited 2023 Oct 16]. Obtainable from: https://spiral.imperial.ac.uk/bitstream/10044/1/83929/7/2020-11-16-COVID19-DAEDALUS.pdf Google Scholar
  • 6 Acemoglu D, Restrepo P. Duties, automation, and the rise in US wage inequality [Internet]. Cambridge (MA): Nationwide Bureau of Financial Analysis; 2021 Jun [cited 2023 Oct 16]. (NBER Working Paper No. 28920). Obtainable from: https://www.nber.org/papers/w28920 Google Scholar
  • 7 United Nations, Division of Financial and Social Affairs, Inhabitants Division. World inhabitants prospects 2022 [Internet]. New York (NY): UN; [cited 2023 Oct 16]. Obtainable from: https://inhabitants.un.org/wpp/ Google Scholar
  • 8 World Well being Group. WHO coronavirus (COVID-19) dashboard [Internet]. Geneva: WHO; [cited 2023 Oct 16]. Obtainable from: https://covid19.who.int/knowledge Google Scholar
  • 9 Gobierno de la República Argentina. Datos Argentina [Internet]. Buenos Aires: Gobierno de la República Argentina; [cited 2023 Oct 16]. Spanish. Obtainable from: https://datos.gob.ar/ Google Scholar
  • 10 Mathieu E, Ritchie H, Rodés-Guirao L, Appel C, Gavrilov D, Giattino Cet al. Coronavirus pandemic (COVID-19) [Internet]. Oxford: Our World in Knowledge; 2020 Mar 5 [cited 2023 Oct 16]. Obtainable from: https://ourworldindata.org/coronavirus Google Scholar
  • 11 Ministerio de Salud, Argentina. COVID-19: situación de nuevas variantes SARS-CoV-2 en Argentina, SE2/2022, Informe técnico [Internet]. Buenos Aires: Ministerio de Salud; 2022 [cited 2023 Nov 13]. Spanish. Obtainable from: https://www.argentina.gob.ar/websites/default/recordsdata/2022/01/vigilancia-genomica-se2_2022.pdf Google Scholar
  • 12 Brasil Ministério da Saúde. Coronavírus Brasil [Internet]. Brasilia: Brasil Ministério da Saúde; [cited 2023 Oct 16]. Portuguese. Obtainable from: https://covid.saude.gov.br/ Google Scholar
  • 13 Ministry of Well being and Wellness Jamaica. What you have to learn about COVID-19 vaccines [Internet]. Kingston: The Ministry; c 2021 [cited 2023 Nov 8]. Obtainable from: https://vaccination.moh.gov.jm/ Google Scholar
  • 14 Gobierno de Mexico. COVID-19 México [Internet]. Mexico Metropolis: Gobierno de Mexico; [cited 2023 Oct 16]. Spanish. Obtainable from: https://datos.covid-19.conacyt.mx/ Google Scholar
  • 15 Worldwide Financial Fund. Coverage responses to COVID-19 [Internet]. Washington (DC): IMF; [last updated 2021 Jul 2; cited 2023 Oct 16]. Obtainable from: https://www.imf.org/en/Matters/imf-and-covid19/Coverage-Responses-to-COVID-19 Google Scholar
  • 16 Instituto Nacional de Estadística y Censos de la República Argentina [home page on the Internet]. Buenos Aires: INDEC; [cited 2023 Oct 16]. Spanish. Obtainable from: https://www.indec.gob.ar Google Scholar
  • 17 Instituto Brasileiro de Geografia e Estatística [home page on the Internet]. Brasilia: IBGE; [cited 2023 Oct 16]. Portuguese. Obtainable from: https://www.ibge.gov.br Google Scholar
  • 18 Instituto Nacional de Estadística y Geografía [home page on the Internet]. Aguascalientes: INEGI; [cited 2023 Oct 16]. Obtainable from: https://www.inegi.org.mx/ Google Scholar
  • 19 United Nations, Division of Financial and Social Affairs, Statistics Division. Worldwide Customary Industrial Classification of All Financial Actions (ISIC), rev. 4 [Internet]. New York (NY): UN; 2008 [cited 2023 Oct 16]. (Statistical Papers, Collection M, No. 4, Rev. 4). Obtainable from: https://unstats.un.org/unsd/publication/seriesm/seriesm_4rev4e.pdf Google Scholar
  • 20 Group for Financial Cooperation and Improvement. Enter-output tables (IOTs) [Internet]. Paris: OECD; [cited 2023 Oct 16]. Obtainable from: https://www.oecd.org/sti/ind/input-outputtables.htm Google Scholar
  • 21 Hale T, Angrist N, Goldszmidt R, Kira B, Petherick A, Phillips Tet al. A worldwide panel database of pandemic insurance policies (Oxford COVID-19 Authorities Response Tracker). Nat Hum Behav. 2021;5(4):529–38. Crossref, MedlineGoogle Scholar
  • 22 Davies NG, Kucharski AJ, Eggo RM, Gimma A, Edmunds WJ, Centre for the Mathematical Modelling of Infectious Ailments COVID-19 working group. Results of non-pharmaceutical interventions on COVID-19 instances, deaths, and demand for hospital providers within the UK: a modelling examine. Lancet Public Well being. 2020;5(7):e375–85. Crossref, MedlineGoogle Scholar
  • 23 To entry the appendix, click on on the Particulars tab of the article on-line.
  • 24 Yeyati EL, Sartorio L. Take me out: de facto limits on strict lockdowns in creating nations. Covid Economics [serial on the Internet]. Challenge 39, 2020 Jul 23 [cited 2023 Nov 8]. Obtainable from: https://cepr.org/system/recordsdata/publication-files/101391-covid_economics_issue_39.pdf Google Scholar
  • 25 Jaouimaa FZ, Dempsey D, Van Osch S, Kinsella S, Burke Ok, Wyse Jet al. An age-structured SEIR mannequin for COVID-19 incidence in Dublin, Eire with framework for evaluating well being intervention value. PLoS One. 2021;16(12):e0260632. Crossref, MedlineGoogle Scholar
  • 26 Sweeney S, Capeding TPJ, Eggo R, Huda M, Jit M, Mudzengi Det al. Exploring fairness in well being and poverty impacts of management measures for SARS-CoV-2 in six nations. BMJ Glob Well being. 2021;6(5):e005521. Crossref, MedlineGoogle Scholar
  • 27 Jalloh MF, Zeebari Z, Nur SA, Prybylski D, Nur AA, Hakim AJet al. Drivers of COVID-19 coverage stringency in 175 nations and territories: COVID-19 instances and deaths, gross home merchandise per capita, and well being expenditures. J Glob Well being. 2022;12:05049. Crossref, MedlineGoogle Scholar
  • 28 Kim JE, Choi H, Choi Y, Lee CH. The financial influence of COVID-19 interventions: a mathematical modeling strategy. Entrance Public Well being. 2022;10:993745. Crossref, MedlineGoogle Scholar
  • 29 Instituto de Efectividad Clínica y Sanitaria. Impacto del COVID-19 en los sistemas de salud de Latinoamérica y el Caribe [Internet]. Buenos Aires: IECS; [cited 2023 Oct 16]. Spanish. Obtainable from: https://iecs.shinyapps.io/covid-model-v2/ Google Scholar

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