Association between natural hazards and postnatal care among the neonates in India: a step towards full coverage using geospatial approach

Barman, Papai; Sarif, Nawaj; Saha, Amiya

doi:10.1186/s12873-023-00844-4

Cited by 4 publications

(1 citation statement)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Maps of many hazards, including earthquakes, landslides, oods, wind risks, and cyclones, are provided in the atlas. The Indian Meteorological Department (IMD), Survey of India (SOI), Geological Survey of India (GSI), Census of India, Bureau of Indian Standards (BIS), and Central Water Commission (CWC) were some of the data sources used to create this atlas (BMTPC 2019; Barman et al 2023). These maps are at national, sub-national and even at the district level for each state in India.…”

Section: Datamentioning

confidence: 99%

Measuring hazard-free improved shelter across the regions of India

Sarif,

Anil Kumar,

Barman

et al. 2024

Nat Hazards

Self Cite

View full text Add to dashboard Cite

Global climate change poses an increasingly dire threat to habitats, livelihoods, and communities worldwide. In this study, we have tried to examine the state of improved shelter facilities in India, utilizing the methodology outlined by UN-Habitat. The ndings of our research alarm that over one-third of India's population lacks access to adequate shelter. Moreover, a signi cant disparity in the availability of improved shelter facilities is observed across various states in India. In regions prone to hazards such as oods and earthquakes, there is a considerable lag in terms of improved shelter provisions. On the other hand, non-hazardous areas demonstrate relatively higher rates of access to improved shelter. Our study reveals a marked distinction between improved shelter and hazard-free improved shelter estimates.Merely two out of every ve households in India can be considered safe from the perils of oods, landslides, and earthquakes. However, the situation is considerably worse in rural areas, where both improved shelter and hazard-free improved shelter are scarce. This highlights the urgent need to adopt hazard-free improved shelter as a more re ned metric for housing, as it can prove instrumental in guiding effective planning and policymaking initiatives. To ensure a risk-free living environment for future generations, it is imperative to undertake micro-level vulnerability mapping and conduct comprehensive risk assessments for various hazards. Furthermore, the government must take proactive measures to promote resilient housing infrastructure as a crucial component of sustainable development. IntroductionGlobal climate change has largely affected the nature of weather patterns and the occurrence of extreme climatic events. Natural disasters have become more prevalent and destructive than ever before. that become major threats to human beings and the global economy (Guo 2010). In the last few decades, a ten-fold increase was observed in the number of natural disasters across the globe (Ecological Threats Register 2020). Globally a total of 367 major natural disasters were registered in 127 nations. These disasters are primarily caused by a high frequency of ood, storm, earthquake (Guo 2010), along with the others like wild re, draught, landslide, volcanic eruptions and extreme. In 2021, around 104 million people were affected worldwide, while 10492 people died. In the same year, a loss worth USD 252.14 billion was estimated (Global Natural Disaster Assessment Report 2022). The frequency of extreme events is mainly concentrated in Asian, South American and European countries (Global Natural Disaster Assessment Report 2022).According to the Natural Disaster Databook, Asia is the most disaster-prone region in the world in 2021.Countries like Indonesia (28), India (19), China (17), and the Philippines ( 14) registered the highest number of disaster occurrences (Asian Disaster Reduction Center 2020). The Indian subcontinent is vulnerable to natural disasters such as ood, cyclone, earthquakes, windstorms, landslid...

show abstract

Section: Datamentioning

confidence: 99%

Measuring hazard-free improved shelter across the regions of India

Sarif,

Anil Kumar,

Barman

et al. 2024

Nat Hazards

Self Cite

View full text Add to dashboard Cite

show abstract

Moderating role of functional/ mobility limitations in the association between sleep problems and hypertension among middle-aged and older adults in India

Saha,

Muhammad,

Mandal

et al. 2024

Preventive Medicine Reports

View full text Add to dashboard Cite

Decomposing the rural–urban differences in depression among multimorbid older patients in India: evidence from a cross-sectional study

Saha,

Mandal,

Muhammad

et al. 2024

BMC Psychiatry

Self Cite

View full text Add to dashboard Cite

Background In India, the prevalence of depression among older adults dealing with multiple health conditions varies between rural and urban areas due to disparities in healthcare access and cultural factors. The distinct patterns observed underscore the necessity for tailored research and interventions to address mental health inequalities among multimorbid older patients in diverse geographic contexts. Methods This study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017–18). A total of 7,608 adults aged ≥ 60 years who were diagnosed with two or more chronic conditions (such as hypertension, diabetes, cancer, chronic lung disease, chronic heart diseases, stroke, bone/joint disease, any neurological or psychiatric diseases, and high cholesterol) were included in this study. Descriptive statistics, bivariate analysis, logistic regression estimates, and Fairlie decomposition method were used to accomplish the study’s objectives. Results The prevalence of depression among older adults with multimorbidity was 9.48% higher in rural areas (38.33%) than in urban areas (28.85%).. Older adults with multimorbidity belonging to the scheduled caste group were 40% more likely to experience depression. Moreover, those with multimorbidity and any form of disability in activities of daily living (ADL) were 93% more likely to experience depression than those without disability, whereas those with multimorbidity and perceived good general health were 65% less likely to suffer from depression than those with poor self-perceived health. Additionally, decomposition analysis revealed that education (35.99%), caste status (10.30%), IADL disability (19.30%), and perceived discrimination (24.25%) were the primary factors contributing to the differences in depression prevalence among older adults with multimorbidity between rural and urban areas. Conclusions We found significant rural–urban differences in depression among older Indians with multimorbidity. The findings underscore the need for targeted interventions that address the unique challenges faced by older patients in rural areas, including lack of social capital, discrimination, and limited resources that enable access to healthcare services. Policymakers and healthcare professionals must collaboratively design and implement effective strategies to improve the mental health and overall well-being of rural older adults, particularly those with multiple comorbidities.

show abstract

Association between natural hazards and postnatal care among the neonates in India: a step towards full coverage using geospatial approach

Cited by 4 publications

References 55 publications

Measuring hazard-free improved shelter across the regions of India

Measuring hazard-free improved shelter across the regions of India

Moderating role of functional/ mobility limitations in the association between sleep problems and hypertension among middle-aged and older adults in India

Decomposing the rural–urban differences in depression among multimorbid older patients in India: evidence from a cross-sectional study

Contact Info

Product

Resources

About