Relationship analysis between the spread of COVID-19 and the multidimensional poverty index in the city of Manizales, Colombia

The impact of school reopening on COVID-19 dynamics in Bogotá, Colombia

10.31219/osf.io/ebjx9 ◽

2021 ◽

Author(s):

Guido España ◽

Zulma M. Cucunubá ◽

Hernando Diaz ◽

Sean Cavany ◽

Nelson Castañeda ◽

...

Keyword(s):

Public Schools ◽

Social Contact ◽

Multidimensional Poverty ◽

Face Mask ◽

Poverty Index ◽

Middle Income ◽

Multidimensional Poverty Index ◽

The World ◽

The Impact ◽

The City

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has affected millions of people around the world. In Colombia, 1.65 million cases and 43,495 deaths were reported in 2020. The exacerbation of poverty is a critical consequence of the pandemic, particularly in low- and middle-income countries. Schools have been closed in many places around the world to slow down the spread of SARS-CoV-2 and particularly in Latin America. In Bogotá, Colombia, public schools were closed since March 2020 and stayed closed for in-person instruction for the rest of the year, except for some schools that were open as a pilot for testing policies. To reconcile these two priorities in health and poverty, we estimated the impact of school reopening for in-person instruction in 2021. We used an agent-based model of SARS-CoV-2 transmission, considering social contact. The model includes schools that represent the set of private and public schools in terms of age, enrollment, location, and size. The model is calibrated to daily incidence of deaths in Bogotá. We simulated school reopening at different capacities, assuming high use of face mask, and evaluated the impact on the number of deaths in the city of different scenarios of school reopening by grade, and multidimensional poverty index. We found that school reopening, based on a correct use of face masks at 75% in >8 years of age, at 35% capacity had a small impact on the number of deaths reported in the city, assuming that overall mobility in the city was similar to the mobility during November. The increase in deaths was smallest when only pre-kinder was opened, and largest when secondary school was opened. Even at larger capacities, the impact on the number of deaths of opening pre-kinder was below 10%. Reopening other grades above 50% of capacity could significantly increase the number of deaths in the city. Reopening schools based on the multidimensional poverty index resulted in a similar increase in the number of deaths, independently on the level of poverty of schools. We conclude that the impact of schools reopening for in-person instruction is lower for pre-kinder grades and the magnitude of additional deaths associated with school reopening can be minimized by adjusting capacity in older grades. In addition, opening lower grades could allow adults, especially the poorest women to return to work.

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Weighting the Dimensions of the Multidimensional Poverty Index: Findings from Sri Lanka

Social Indicators Research ◽

10.1007/s11205-021-02656-0 ◽

2021 ◽

Author(s):

N. P. Ravindra Deyshappriya ◽

Simon Feeny

Keyword(s):

Sri Lanka ◽

Multidimensional Poverty ◽

Poverty Index ◽

Multidimensional Poverty Index

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Measuring Vulnerability to Multidimensional Poverty

Social Indicators Research ◽

10.1007/s11205-019-02192-y ◽

2019 ◽

Vol 148 (1) ◽

pp. 67-103 ◽

Cited By ~ 3

Author(s):

Mauricio Gallardo

Keyword(s):

Multidimensional Poverty ◽

Risk Behaviour ◽

Poverty Measurement ◽

Multidimensional Space ◽

Poverty Index ◽

Cross Sectional ◽

Multidimensional Poverty Index ◽

Wide Range ◽

Vulnerability Indicators ◽

Vulnerability To Poverty

Abstract A method to measure vulnerability to multidimensional poverty is proposed under a mean–risk behaviour approach. We extend the unidimensional downside mean–semideviation measurement of vulnerability to poverty towards the multidimensional space by incorporating this approach into Alkire and Foster’s multidimensional counting framework. The new approach is called the vulnerability to multidimensional poverty index (VMPI), alluding to the fact that it can be used to assess vulnerability to poverty measured by the multidimensional poverty index (MPI). The proposed family of vulnerability indicators can be estimated using cross-sectional data and can include both binary and metric welfare indicators. It is flexible enough to be applied for measuring vulnerability in a wide range of MPI designs, including the Global MPI. An empirical application of the VMPI and its related indicators is illustrated using the official MPI of Chile as the reference poverty measurement. The estimates are performed using the National Socioeconomic Characterisation Survey (CASEN) for the year 2017.

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Towards a Multidimensional Poverty Index for Germany

SSRN Electronic Journal ◽

10.2139/ssrn.2583764 ◽

2015 ◽

Cited By ~ 5

Author(s):

Nicolai Suppa

Keyword(s):

Multidimensional Poverty ◽

Poverty Index ◽

Multidimensional Poverty Index

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GAHAI AGROPOLITAN PROJECT IN ERADICATING POVERTY: MULTIDIMENSIONAL POVERTY INDEX

PLANNING MALAYSIA JOURNAL ◽

10.21837/pmjournal.v16.i7.503 ◽

2018 ◽

Vol 16 (7) ◽

Cited By ~ 1

Author(s):

Mohd Khairi Ismail ◽

Chamhuri Siwar ◽

Rospidah Ghazali

Keyword(s):

Multidimensional Poverty ◽

Living Standards ◽

Poverty Index ◽

Policy Makers ◽

Extreme Poverty ◽

Multidimensional Poverty Index ◽

Household Members ◽

Project Participants ◽

Design And Construction

The planning and development of Agropolitan Project in Malaysia began in 2007 and was aimed at eradicating extreme poverty in Malaysia. This study aims to discuss the design and construction of Agropolitan Project in eradicating extreme poverty among its participants. This study uses the Multidimensional Poverty Index (MPI) found in the 11th Malaysian Plan, which includes the dimension of education, health, living standards, and earning. In addition, this study utilizes a survey involving 45 participants of an agropolitan project from Gahai, Lipis,Pahang. The result shows that only 5 of the respondents fall into the multidimensional poverty category, which involves 11.9 percent of the household members. The result of this study shows that the planning and development of Gahai Agropolitan Project, Lipis has succeeded in eradicating extreme poverty among the project participants. Deprivation faced by the respondents based on the MPI analysis can help policy makers in the design and construction of future agropolitan projects.

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