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MINI REVIEW article

Front. Public Health, 23 September 2022
Sec. Environmental Health and Exposome
This article is part of the Research Topic The Physical Environment and Health: Implications for the Planning and Management of Healthy Cities View all 68 articles

Housing-related challenges during COVID-19 pandemic among urban poor in low- and middle-income countries: A systematic review and gap analysis

  • 1Health Technology Assessment in India, ICMR-Regional Medical Research Centre, Bhubaneswar, India
  • 2Department of Psychiatry, Kalinga Institute of Medical Sciences, Bhubaneswar, India
  • 3UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland

The abysmal health of the urban poor or slum dwellers was attributed to structural inequities such as inadequate housing, water, and sanitation. This review aimed to assess housing-related opportunities and challenges during the COVID-19 pandemic among urban poor in low-and middle-income countries. For study identification, a comprehensive search was performed in 11 databases that yielded 22 potential studies. The inadequate housing infrastructure makes the lives of the urban poor more precarious during COVID-19. Typically, the houses lacked lighting, ventilation, and overcrowding. This review reflected that it is crucial to reimagine housing policy for the urban poor with an emphasis on pandemic/epidemic guidelines.

Introduction

Socioeconomic factors, such as the location of the residence and the housing infrastructure, as well as health-related behaviors, are among the most significant determinants of human health (1, 2). According to the World Health Organization (WHO), improved housing with access to water and sanitation, as well as affordable preventive and curative health care at the doorstep, can empower marginalized groups and improve the entire community's health (1). The term “housing” refers to a safe living space that facilitates daily activities. United Nations-Habitat estimates that ~40 percent of the world's population will require adequate housing by 2030. While everyone is at risk from hazardous housing, those with low incomes and members of vulnerable groups greatly impacted by structural inequities are more likely to reside in inadequate or insecure housing or be denied a home altogether (3). Unmet housing needs have resulted in informal settlers or unplanned settlements like slums, especially among the urban poor (4).

The United Nation-Habitat defined a slum household as a group of individuals living under the same roof in an urban area that often lacks one or more of the following: durable housing, sufficient living space, security of tenure, sanitation, and infrastructure, and access to improved water sources. The slums result from rapid urbanization with a rise in urban population. Hence, local governments confronted with rapid urbanization cannot address the varying requirements for urban infrastructure to address the needs of the urban poor (5).

Low- and middle-income countries (LMICs), as defined by World Bank are those with gross national income (GNI) per capita less than 12,375 USD (6). With economic distress and rapid urbanization, there are multitude of challenges faced by the residents of LMICs. The poorest people, particularly those who live in slums and are homeless, usually have worse health status than their compatriots in rural areas, despite the fact that wealthier urban dwellers can benefit from the “urban advantage” (7).

The influence of COVID-19 on housing, taking into account the complex impacts of physical distancing and isolation, especially among slum inhabitants was challenging. As a result of the droplet and aerosol transmissions, which both can spread COVID-19, overcrowding has been linked to the spread of infections. There was a 50 percent higher risk of COVID-19 incidence (IRR 1.50, 95 percent CI: 1.38–1.62) and a 42 percent higher risk of COVID-19 mortality (MRR 1.42, 95 percent CI: 1.25–1.61) for every 5 percent increase in the percentage of households with suboptimal housing conditions (8).

The deplorable health of the poor or slum dwellers is attributable to inadequate and overcrowded housing conditions triggered by structural inequities. They are also susceptible to several additional housing-related threats, including hazardous electrical connections, toxic building materials, kitchenettes without ventilation, and hazardous infrastructures, such as inadequate sidewalks (3). In addition, the situation worsened during the COVID-19 pandemic. With limited resources, it is difficult for them to implement physical distance and isolation measures. Thus, in purview of the aforementioned mentioned housing related-problems among urban poor, it mandates to conduct research on how the unprecedented events like COVID-19 worsened the situation. Consequently, this review aimed to evaluate and assess housing-related opportunities and challenges during the COVID-19 pandemic among urban poor residing in low- and middle-income countries (LMICs).

Methods

Protocol and search strategies

The study protocol of this review is registered in PROSPERO (CRD42022300387). We conducted a comprehensive search to identify studies from the databases–PubMed (MEDLINE), Embase, Web of Science, WHO Global Index Medicus, Epistemonikos, ProQuest, EBSCO, Cochrane, MedRxiv and BioRxiv, 3ie, and Google Scholar for the relevant articles published from November 2019 till August 2021.

Inclusion exclusion criteria

The studies with slum-dwellers or homeless populations from urban areas of the LMICs as participants were included. Studies with housing-related interventions in COVID-19 the context were included. As we did not look for the effectiveness of the interventions, thus we did not consider any comparator in the included study. The housing-related studies in the context of COVID-19 were included. Any primary research viz. Randomized Controlled Trials and Non-Randomized Studies of Interventions, such as cohort studies, case-control studies, controlled before-and-after studies, and interrupted-time-series studies, were included. The study selection was not restricted to the language of the studies. However, we did not include any secondary data analysis, reviews, commentaries, editorials, and primary studies in the non-COVID-19 context.

Study selection

Two reviewers screened the studies based on the titles and abstracts. Furthermore, full texts of the potential studies were retrieved and reviewed to check their eligibility for selection. We resolved any disagreements during study selection with discussion and mutual consensus with the other reviewers. The study selection was done independently and in duplicate.

Quality assessment of the included studies

The quality assessment of the included articles was assessed independently and in duplicate by reviewers based on the criteria mentioned in MMAT (Mixed Methods Appraisal Tool) (9). The disagreements were resolved through discussion and mutual consensus with the other authors. The quality assessment was conducted independently and in duplicate. Methodologically, 9 of 22 studies were in concordance with the MMAT criteria for quality appraisal. The remaining included studies (13 of 22) were of compromised quality, as they deviated and did not fulfill the required criteria of the MMAT tool.

Data extraction and synthesis

Two reviewers extracted data in a Microsoft Excel sheet template comprising study characteristics (author, year, country, study design, sample size, study setting, data collection methods), and results (outcome measures, conclusion, recommendations. We resolved the disagreements at any stage via discussions with the authors. Furthermore, the author (KCS) reviewed all the studies, open-coded the information, and prepared a codebook—a thematic framework that emerged from the data for selective coding in MAXQDA Analytics Pro 2020 (VERBI GmbH, Berlin). The author SD extracted all the information in MAXQDA using the selective coding approach. Finally, the authors (SD, KCS) synthesized and prepared the results using thematic framework analysis.

Results

We identified 6,490 studies, including 1,482 duplicates. Based on the title and abstract, 5,008 studies were screened, resulting in 134 potential studies for full-text review. Out of 134, 22 studies met inclusion criteria and were finally included in the review. The PRISMA flow diagram is provided to illustrate the entire study selection process in Figure 1.

FIGURE 1
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Figure 1. PRISMA flow diagram (10).

Characteristics of included studies

Of the 22 included studies, nine were qualitative, eight were quantitative, and five were mixed-method studies. Most of the included studies were from India (n = 8) followed by Bangladesh (n = 6), Nigeria (n = 3), South Africa (n = 2), Vietnam (n = 1), Turkey (n = 1), and Mixed (N = 1). The urban poor in the included studies comprised refugees, slum dwellers, migrant workers, and the urban homeless (Table 1).

TABLE 1
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Table 1. Characteristics of included studies.

Three main themes emerged: (1) Housing infrastructure and existing facilities, (2) Challenges related to housing conditions during COVID-19 pandemics, and (3) Coping mechanisms, social support, and expectations.

Theme 1: Housing infrastructure and existing facilities

Usual population density of the households and community

The poor urban environment's unplanned housing and spatial organization make it unconducive to a healthy lifestyle. In general, it was reported that the dark and unventilated houses with leaky roofs and damped walls increased the vulnerability of the residents. The non-paved narrow lanes measuring about 1 to 1.25 meters with large gatherings contribute to life-threatening congestion while exposing residents to airborne virus transmission. These congested lanes contribute to insufficient indoor lighting and ventilation. As far as crowding is concerned, 4–5 individuals dwell in houses with dimensions ranging from 9.29 to 13.243 meters square. They are bound to improvise a wall in their small rooms to create a living and bedroom. It is challenging for the slum residents to maintain their temporary dwellings as they face adversity due to heavy rain and flooding. The housing units lacked connectivity to basic sanitation infrastructure (1114, 17, 28). In refugee camps, houses were orthogonal and normal in 10 square feet. These houses were made of concrete and tin with slender and unpaved pathways provided with free electricity and water (15). Most housing units failed to meet the minimum housing lobby standard of 6 feet, as they were even smaller than 4 feet (20).

The study revealed that the houses were constructed in rows with rooms ranging from 80 to 100 square feet. These tiny houses were permanent, with shared bathrooms and metered water taps set at a distance. Twenty families were forced to share a single bathroom and three toilets, which was a clear indication of the facility's high loads. The housing alleys were crowded with diverse populations (24). In slums, an average of 3.2 people resided in a single room, but in non-slums, 2.9 people resided in a single room. In slums, 1.7 rooms were shared by 4.7 people. The majority of urban slum dwellings lacked separate kitchens. Cooking and sleeping in the same room made maintaining physical distance difficult (27). Most slum residents who lack housing amenities reside on sidewalks, putting their health and way of life at risk (30, 32). According to the data, a little shelter was filled by 10 to 11 people, which equates to 1.6 to 2.9 square meters per person, which is below the Humanitarian Charter's suggested standard of 4.5 square meters per person (1113, 23).

Lack of living space and internal WASH facilities in household

Along with the lack of living spaces, the urban slum residents encountered other problems: they didn't have access to safe and sufficient water facilities for hygiene practices in their households. Most of these cohorts relied on ordinary communal tap water, borewells, or water tankers for their water needs (14). The slum residents had to share toilets and water sources to carry out their daily chores. It is evident from the findings that crowding is significantly high in households sharing both bathing and toilet facilities (median=2.9 m2/person, 95% CI, 2.63–2.93) (23). Typically, eight to 10 individuals share a tiny 150 sq. ft. shack without natural light or ventilation and no access to safe drinking water, sanitation, or other basic amenities. They did not have separate toilet facilities in their homes and had to rely on dirty, unhealthy, and risky communal lavatories. Moreover, it was more challenging for maintaining hygiene among women and girls. They were even bound to urinate and defecate in the open. They lacked a kitchen in their households. They even had to leave their homes to fetch water from communal taps or tube wells, thus risking infection. Restricted and timed water supplies make it impractical to practice hand hygiene (28).

Theme 2: Challenges related to housing conditions during COVID-19 pandemics

Major challenges during COVID-19

There were many challenges faced by the urban poor due to poor housing conditions. Temporary refugee camps in the lowlands make them more vulnerable to seasonal flooding and calamities like COVID-19. Poor infrastructure and crowding make it challenging to practice physical distancing or follow quarantine measures (1113, 22). As a respondent stated:

We cannot maintain physical distance within and outside our shelter. Due to the roofing materials, tarp, insufficient sun fans, and natural ventilation, our room becomes extremely warm during this scorching summer. Due to the overcrowding and the risk of contracting Coronavirus, we were unable to remain in a room for an extended period.” (11)

Migrant communities reported struggling to make their living and pay housing rents, which were further aggravated, by food insecurity and stringent lockdown during the COVID-19 infection (19). Lack of apparent government policy concerning rent waiver, many families faced housing insecurity due to the lockdown (25). The anger and outrage among the informal settlements were marked by the Government's impractical policy toward COVID-19 containment (20). As quoted by the respondents

They [Government] are talking about social distancing and regular handwashing, please ask them if there is a water supply for regular handwashing. Many of the houses in this neighborhood have challenges with toilets, water supply, and adequate housing to the best of my knowledge. So, how can I comply with the physical distancing of about six feet apart when my next neighbor is directly opposite my room with a lobby of about three to four feet wide and shared facilities such as toilet, kitchen, bathroom, etc.?” (20)

Abiding by the physical distancing norms was a major challenge among the poor urban cohort as they had to deal with overcrowding and homestay orders (20, 21). Due to overcrowding, many inhabitants were compelled to seek refuge under trees and in makeshift outdoor seating places (21). The housing and basic amenities were not optimal, and the rent-seeking mechanism was unjustified. Women had no safe location to meet and socialize, and children had no space to play due to crowded areas, thus deteriorating their health and living with time (24). COVID-19 left many homeless slum dwellers to move into makeshift shelters as the administration forcibly moved them from their usual sleeping spaces (32).

Increase in usual population density, challenges in physical distancing, and overcrowding associated with infection

The overcrowding worsened during COVID-19 as the slum infrastructures were not conducive to maintaining physical distancing and abiding by the quarantine norms due to lockdown enforcement (11, 12). The houses were not optimally apart in slums; they depended on a common water source. Overcrowding was not just confined to homes; it was even seen in minibuses or taxis, making physical distancing among informal settlers impossible (19). The rented house was also overcrowded during COVID-19 due to lockdown and movement restrictions imposition, making it challenging to practice physical distancing, resulting in fear and anxiety of catching an infection (21, 22, 26). Furthermore, women in slums fared worse than their male and female non-slum counterparts in terms of access to secure housing for isolation and physical distance. Most slum women work, but it is usually low-paying, transitory, and exploitative, making them more likely to perform poorly. Many domestic workers could not provide services remotely, resulting in a loss of income that allowed them to feed their families. The concern over the impracticality of taking containment measures among the slum residents was quite evident from the respondents' statements.

I cannot imagine how residents would practice social distancing and hygiene, given crowding and the lack of running water.” (29)

Sadly, the tight quarters and the communal spaces of the slums are natural conduits for a virus that relies on physical closeness to spread.” (31)

Challenges concerning isolation–social conflict and stigma

Any crisis comes with loads of challenges. The cramped housing spaces (both indoor and outdoor) make it difficult for refugees to adhere to COVID-19 restrictions as prescribed. The same was evident from the stated statement by a female respondent.

We cannot maintain social distancing in our shelter and outside as well. Our room becomes very hot during this hot summer due to the roofing materials, tarpaulin, insufficient solar fans, and natural ventilation. Therefore, we cannot stay in a room for long, and can't stay outside also because of overcrowded people and the risk of Coronavirus.” (11)

The slum's spatial layout and infrastructural instability made it difficult to maintain social distance. Around 16–30 households share one toilet/bath, while 25–30 families share a tube well. Similarly, about 20 people who had access to water with compromised water quality shared a tap. The lanes in the urban poor residential area were so compact that they found it very difficult to move. The dense living conditions are the biggest challenge in maintaining physical distancing norms (11, 12, 14, 19). A resident stated

The lanes are so narrow that we can barely cross each other; we rub shoulders...We need to travel outside to use common toilets…It is hard to maintain quarantine as we don't have sufficient space and lack (attached) toilets …” (12)

The poor urban residents felt stigmatized for contracting the infection due to their overcrowded living conditions. Apart from making it impractical to practice physical distancing, they were under threat of getting a disease as a shack measuring 6 to 15 meters square was shared by around 10 individuals (26). The poor and compacted housing infrastructure significantly affected the anxiety level and exacerbated levels of gender-based violence (16).

Theme 3: Coping mechanism, social support, and expectations

Mal-adaptive practices

Due to the enforcement of stringent lockdowns, physical distancing was hindered as the residents with staggering work in the poor urban regions were compelled to stay at home; consequently, overcrowding worsened more. Insufficient spacing and overcrowding lead residents to take refuge under trees or opt for makeshift seating spaces outdoors (21). Deterioration in health conditions was reported among the residents with the insecure residence. Furthermore, people residing in perilous environments like asylum, streets, or insecure areas were experiencing daily stressors, discrimination along with degrading in their mental health (30).

Social support and community members' expectations

The crises dealt with community engagement and involvement. The rural childcare center, educational institution, community center, and train coaches were transformed into isolation centers to ensure physical distancing (15). Migrant workers were supported with personal protective equipment, food, and housing by the company (18). Investing in decent, affordable, and resilient housing needs was to be prioritized as it could deliver healthcare and prosperity to the individuals.

Discussion

The findings demonstrated that the inadequate housing infrastructure makes the lives of the urban poor more precarious during unprecedented events such as COVID-19. Typically, the houses lacked enough lighting and ventilation. The overcrowding was visible, as the houses and camps in urban poor areas had disproportionate dimensions and clogged streets. The quality of the homes was so low that they could barely withstand harsh conditions such as rain and flooding.

Throughout COVID-19, housing with inadequate WASH infrastructure in urban poor settlements posed a difficulty. Typically, this population lacked personal bathrooms and water taps, requiring them to rely on unreliable communal or shared water supplies and community toilets. During pandemics, this deficiency makes it more challenging to adhere to infection control standards such as physical separation, hand hygiene, and isolation. In a few instances, planned housing with amenities for the urban poor was reported; however, the facilities were sadly shared. According to the results, a handful of the urban poor did not have the luxury of four walls and a roof and was forced to sleep on the streets. The results also indicate that overcrowding worsened due to the lockdown, as the restricted movement made it difficult to adhere to physical distance restrictions. With the increase in population, the stigma of catching the infection increased inside and beyond the home. This increased domestic violence, a problem regardless of gender, as working family heads were forced to remain at home (3335). Frequently, women in urban slums experience violence (36). Their lives are endangered by maladaptive behaviors like sheltering on or beneath trees.

According to the facts, there was very little social or communal support. However, a temporary effort was made by converting train coaches or institutions into isolation centers. The community's expectations for basic facilities from the government were not realized. Housing insecurity is widespread in LMICs, particularly in urban slums where many urban residents live. According to the data, housing-related problems increased among urban poor inhabitants during unanticipated pandemics. The inclusion of just studies from LMICs limits the generalizability of the findings. As the inequalities and discrepancies among the urban poor regarding access to housing and essential utilities become apparent amid this horrific pandemic, it serves as a wake-up call for concerned authorities worldwide.

There is an urgent need to scale up the implementation of initiatives such as Prime Minister Housing Scheme and JAGA mission of India, Housing microfinance and Participatory Slum Upgrading Program (PSUP) of African countries, Argentina's Slum Housing Upgrade Program across all LMICs. These housing schemes provided accommodation for the urban poor or slum dwellers living in cramped conditions with inadequate infrastructure, hygiene, and drinkable water, thereby improving their quality of life and health (3742). These are based on in-situ slum redevelopment concept that uses slum-occupied land to incentivize the creation of formal settlements for slum residents by private actors. Researchers and policymakers must comprehend and address the housing needs of this vulnerable population. There is little evidence of the impact of housing infrastructure on the overall health of the urban poor. In the context of LMICs, understanding the problem of slum growth and urban housing shortage is crucial. As slums grow as a result of systemic failure, their transformation necessitates a combination of political will, committed leadership, and empowered communities to enable urban changes that are consistent and inclusive.

The incidence and effects of COVID-19 can vary substantially across space and time, with urban populations initially being severely affected. Effective support for poor and vulnerable households will require substantial additional financial resources. In addition, the older adults, children, disabled, and women are prone to have the worst effects. The COVID-19 pandemic is wreaking havoc on women's health and social and economic well-being worldwide. As the pandemic expands to LMICs, the response must address the underlying injustices that put women and girls at greater risk in slums. Women also bear a disproportionate share of the load at home due to school and childcare facility cutbacks, as well as long-standing gender disparities in unpaid labor. During times of crisis and quarantine, women suffer heightened risks of employment and income loss and increased dangers of violence, exploitation, abuse, or harassment. Policy solutions must be quick and take into account the concerns of women (43, 44). Fundamentally, all policy responses to the crisis must incorporate a gender lens and consider women's distinct demands, responsibilities, and viewpoints.

It is crucial to reimagine housing policies for the urban poor, particularly in LMICs, emphasizing pandemic and epidemic management protocol. The COVID-19 Pandemic highlights and exacerbates existing structural inequities and endangers the lives of the urban poorest segments of the population. The pandemic criteria did not align with existing housing, water, and sanitation facilities. The urban slum encountered many obstacles, but in light of the gravity of the situation, they overcame them with patience and diligence. Urban planning and policies should also ensure that the urban poor's housing infrastructure complies with basic housing and health criteria. Urban areas demand a healthy and sustainable housing strategy for the urban poor. Along with other essential utilities, the urban poor should be granted housing rights on humanitarian grounds. A time-bound plan is necessary to support the envisioned urbanization program.

Author contributions

KS, SD, and GD developed the protocol. SD and MS completed the search, screened the articles for inclusion, extracted the data, and completed the risk of bias assessments. KS, PM, SD, and GD extracted the data and synthesized the findings, interpreted the results, and drafted the manuscript. SP and MB interpreted the results. All authors critically revised the manuscript. All authors approved the final version.

Funding

This systematic review was funded by the UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland (Grant No: 2021/1086892-1/P20-00116).

Acknowledgments

The authors would like to thank the administrative staff of ICMR-Regional Medical Research Centre for supporting this study with online academic resources.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Author disclaimer

The authors alone are responsible for the views expressed in this article and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated.

References

1. World Health Organization. Social determinants of health. WHO Regional Office for South-East Asia (2008). Available online at: https://apps.who.int/iris/bitstream/handle/10665/206363/B3357.pdf (accessed Date 27 August 2022).

Google Scholar

2. Dunn JR. Housing and health inequalities: review and prospects for research. Housing studies. (2000) 15:341–66. doi: 10.1080/02673030050009221

CrossRef Full Text | Google Scholar

3. WHO Housing and health guidelines. Geneva: World Health Organization (2018).

Google Scholar

4. Azunre GA, Azerigyik R, Puwurayire P. Deciphering the drivers of informal urbanization by ghana's urban poor through the lens of the push-pull theory. InPlaning Forum. (2021) 18:10–44.

Google Scholar

5. Ooi GL, Phua KH. Urbanization and slum formation. J Urban Health. (2007) 84:27–34. doi: 10.1007/s11524-007-9167-5

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Prydz EB, Wadhwa D. The World Bank. World Development Indicators-Classifying countries by income (2019). Available online at: https://datatopics.worldbank.org/world-development-indicators/stories/the-classification-of-countries-by-income.html (accessed September 2, 2022).

Google Scholar

7. Elsey H, Agyepong I, Huque R, Quayyem Z, Baral S, Ebenso B, et al. Rethinking health systems in the context of urbanisation: challenges from four rapidly urbanising low-income and middle-income countries. BMJ Global Health. (2019) 4:e001501. doi: 10.1136/bmjgh-2019-001501

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ahmad K, Erqou S, Shah N, Nazir U, Morrison AR, Choudhary G, et al. Association of poor housing conditions with COVID-19 incidence and mortality across US counties. PLoS ONE. (2020) 15:e0241327. doi: 10.1371/journal.pone.0241327

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Hong QN, Pluye P, Fàbregues S, Bartlett G, Boardman F, Cargo M, et al. Mixed methods appraisal tool (MMAT), version 2018. Registration of Copyright. (2018) 1148552.

Google Scholar

10. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (2021) 372:n71. doi: 10.1136/bmj.n71

PubMed Abstract | CrossRef Full Text

11. Akter S, Dhar TK, Rahman AI, Uddin MK. Investigating the resilience of refugee camps to COVID-19: a case of Rohingya settlements in Bangladesh. J Migrant Health. (2021) 4:100052. doi: 10.1016/j.jmh.2021.100052

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Akter S, Hakim SS, Rahman MS. Planning for pandemic resilience: COVID-19 experience from urban slums in Khulna, Bangladesh. J Urban Manag. (2021) 10:325–44. doi: 10.1016/j.jum.2021.08.003

CrossRef Full Text | Google Scholar

13. Anand I, Thampi A. Pandemic and the crisis of extreme inequality in India. Ind J Labour Econ. (2021) 64:663–83. doi: 10.1007/s41027-021-00335-9

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Auerbach AM, Thachil T. How does Covid-19 affect urban slums? Evidence from settlement leaders in India. World Dev. (2021) 140:105304. doi: 10.1016/j.worlddev.2020.105304

PubMed Abstract | CrossRef Full Text | Google Scholar

15. de Bercegol R, Goreau-Ponceaud A, Gowda S, Raj A. Confining the margins, marginalizing the confined: the Distress of Neglected Lockdown Victims in Indian Cities. EchoGéo (2020). Available online at: http://journals.openedition.org/echogeo/19357 (accessed 19 June 19, 2022).

Google Scholar

16. Budak F, Bostan S. The effects of Covid-19 pandemic on Syrian refugees in Turkey: the Case of Kilis. Soc Work Public Health. (2020) 35:579–89. doi: 10.1080/19371918.2020.1806984

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Bueno L, Biderman C, Bueno NS, Da Mata D, Avelino G. Improving Housing Among Marginalized Communities: Effects of Social Capital in the Covid-19 Crisis. Available online at: https://www.cepesp.io/uploads/2021/06/Writing_sample_TETO.pdf

Google Scholar

18. Bui HT, Duong DM, Pham TQ, Mirzoev T, Bui AT, La QN. Covid-19 stressors on migrant workers in Vietnam: cumulative risk consideration. Int J Environ Res Public Health. (2021) 18:8757. doi: 10.3390/ijerph18168757

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Cloete A, North A, Ramlagan S, Schmidt T, Makola L, Chikovore J, et al. “… It is like it has come up and stole our lives from us” The first 21 days: A rapid qualitative assessment of how different sectors of society experienced the COVID-19 lockdown in South Africa. Soc Sci Humanit. (2021) 4:100167. doi: 10.1016/j.ssaho.2021.100167

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Ebekozien A, Aigbavboa C, Ayo-Odifiri SO. Root cause of factors enhancing the spread of coronavirus disease 2019 pandemic in Nigerian informal urban settlements: issues and possible solutions. Int Plan Stud. (2022) 27:44–61. doi: 10.1080/13563475.2021.1917342

CrossRef Full Text | Google Scholar

21. Enwerekowe EO, Katyen AM. The effect of housing conditions on social distancing during a pandemic in selected urban slums in north central Nigeria. Civ Environ Res. (2020) 12:30–7. doi: 10.7176/CER/12-7-04

CrossRef Full Text | Google Scholar

22. Gibson L, Rush D. Novel coronavirus in Cape Town informal settlements: feasibility of using informal dwelling outlines to identify high risk areas for COVID-19 transmission from a social distancing perspective. JMIR Public Health Surveill. (2020) 6:e18844. doi: 10.2196/18844

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Hasan SM, Das S, Hanifi SM, Shafique S, Rasheed S, Reidpath DD, et al. A place-based analysis of COVID-19 risk factors in Bangladesh urban slums: a secondary analysis of World Bank microdata. BMC Public Health. (2021) 21:1–6. doi: 10.1186/s12889-021-10230-z

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Mohan D, Sekhani R, Mistry J, Singh A, Mittal V. Kapashera: Lives and Livelihoods of Informal Migrant Workers (2021). Available online at: Kapashera+work.pdf (jgu.s3.ap-south-1.amazonaws.com)

Google Scholar

25. Napier-Raman S, Rattani A, Qaiyum Y, Bose V, Seth R, Raman S. Impact of COVID-19 on the lives of vulnerable young people in New Delhi, India: a mixed method study. BMJ Paediatrics Open. (2021) 5:e001171. doi: 10.1136/bmjpo-2021-001171

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Nyashanu M, Simbanegavi P, Gibson L. Exploring the impact of COVID-19 pandemic lockdown on informal settlements in Tshwane Gauteng Province, South Africa. Glob Public Health. (2020) 15:1443–53. doi: 10.1080/17441692.2020.1805787

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Patel A. Preventing COVID-19 amid public health and urban planning failures in slums of Indian cities. World Med Health Policy. (2020) 12:266–73. doi: 10.1002/wmh3.351

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Sahu M, Dobe M. How the largest slum in India flattened the COVID curve? a case study. South East Eur J Public Health. (2020) 14. Available online at: https://www.seejph.com/index.php/seejph/article/view/3614

Google Scholar

29. Saldanha K. Many realities, one world: dharavi, stranded migrants, and the lockdown in India. Qual Soc Work. (2021) 20:289–96. doi: 10.1177/1473325020981749

CrossRef Full Text | Google Scholar

30. Spiritus-Beerden E, Verelst A, Devlieger I, Langer Primdahl N, Botelho Guedes F, et al. Mental health of refugees and migrants during the COVID-19 pandemic: the role of experienced discrimination and daily stressors. Int J Environ Res Public Health. (2021) 18:6354. doi: 10.3390/ijerph18126354

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Wasdani KP, Prasad A. The impossibility of social distancing among the urban poor: the case of an Indian slum in the times of COVID-19. Local Environ. (2020) 25:414–8. doi: 10.1080/13549839.2020.1754375

CrossRef Full Text | Google Scholar

32. Williams S, Shahabuddin SJ. Concerns, changes and challenges faced by the extreme urban poor in Dhaka and Chittagong during the COVID-19 lockdown: June follow-up survey (2020).

Google Scholar

33. Nuwematsiko R, Nabiryo M, Bomboka JB, Nalinya S, Musoke D, Okello D, et al. Unintended socio-economic and health consequences of COVID-19 among slum dwellers in Kampala, Uganda. BMC Public Health. (2022) 22:1–3. doi: 10.1186/s12889-021-12453-6

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Daruwalla N, Kanougiya S, Gupta A, Gram L, Osrin D. Prevalence of domestic violence against women in informal settlements in Mumbai, India: a cross-sectional survey. BMJ Open. (2020) 10:e042444. doi: 10.1136/bmjopen-2020-042444

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Sahay MR, Dubey S, Sahoo RK, Kanungo S, Sahoo KC, Pati DS. Health-related challenges and coping strategies among women during pandemics: a systematic review of qualitative studies. Front Health Serv. (2022) 2:847753. doi: 10.3389/frhs.2022.847753

CrossRef Full Text | Google Scholar

36. Jungari S, Chauhan BG, Bomble P, Pardhi A. Violence against women in urban slums of India: a review of two decades of research. Glob Public Health. (2022) 17:115–33. doi: 10.1080/17441692.2020.1850835

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Gohil J, Gandhi ZH. Pradhan Mantri Awas Yojana (PMAY) Scheme—an emerging prospect of affordable housing in India. Int Res J Eng Technol. (2019) 6:2546–50.

Google Scholar

38. Simonelli G, Leanza Y, Boilard A, Hyland M, Augustinavicius JL, Cardinali DP, et al. Sleep and quality of life in urban poverty: the effect of a slum housing upgrading program. Sleep. (2013) 36:1669–76. doi: 10.5665/sleep.3124

PubMed Abstract | CrossRef Full Text | Google Scholar

39. D'souza R. Housing poverty in urban India: The failures of past and current strategies and the need for a new blueprint. ORF Occasional Paper. (2019) 187:1–42.

Google Scholar

40. Kundu A, Kumar A. Assessing the benefits and costs of the program verticals of Pradhan Mantri Awas Yojana (Urban). Shelter J. (2020) 21:37–43.

Google Scholar

41. Rao PS, Royo-Olid J, Turkstra J. Tenure security and property rights: the case of land titling for ‘slum’dwellers in Odisha, India. Int J Urban Sustain Dev. (2022) 14:1–9. doi: 10.1080/19463138.2022.2054815

CrossRef Full Text | Google Scholar

42. Kroeker-Falconi C, Kettle RC. Compendium of best practices for housing in Africa. Habitat for Humanity (2021). Available online at: https://www.citiesalliance.org/sites/default/files/2021-03/HFHI_compendium_best_cases_Africa.pdf (accessed September 2, 2022).

Google Scholar

43. Garikipati S, Kambhampati U. Leading the fight against the pandemic: does gender really matter? Fem Econ. (2021) 27:401–18. doi: 10.1080/13545701.2021.1874614

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Morgan Dadzie G, Ebron K, Kipenda M. Why African women and girls' voices are not heard in the fight against COVID-19. Cities & Health. (2021) 29:1–7. doi: 10.1080/23748834.2021.1907504

CrossRef Full Text | Google Scholar

Keywords: housing, urban poor, opportunities, challenges, COVID-19, LMIC

Citation: Dubey S, Sahoo KC, Dash GC, Sahay MR, Mahapatra P, Bhattacharya D, Barrio MOd and Pati S (2022) Housing-related challenges during COVID-19 pandemic among urban poor in low- and middle-income countries: A systematic review and gap analysis. Front. Public Health 10:1029394. doi: 10.3389/fpubh.2022.1029394

Received: 27 August 2022; Accepted: 06 September 2022;
Published: 23 September 2022.

Edited by:

Long Cheng, Ghent University, Belgium

Reviewed by:

Tanhua Jin, Ghent University, Belgium
Xinmei Cai, Southeast University, China

Copyright © 2022 Dubey, Sahoo, Dash, Sahay, Mahapatra, Bhattacharya, Barrio and Pati. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Krushna Chandra Sahoo, sahookrushna@yahoo.com; Sanghamitra Pati, drsanghamitra12@gmail.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.