Nexus between population density and novel coronavirus (COVID-19) pandemic in the south Indian states: A geo-statistical approach

Arif, Mohammad; Sengupta, Soumita

doi:10.1007/s10668-020-01055-8

Cited by 41 publications

(36 citation statements)

References 47 publications

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“…The government implemented strict measures and they were successful in containing the spread in the country. Pakistan was thus able to fight COVID-19 better than other countries in the region 3 . Maternity services and maternity care providers were uniquely affected by the pandemic.…”

Section: Introductionmentioning

confidence: 98%

Knowledge and practices: Risk perceptions of COVID-19 and satisfaction with preventive measures at workplace among maternity care providers in Pakistan

Izhar¹,

Husain²,

Tahir³

et al. 2021

Eur J Midwifery

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INTRODUCTION While all healthcare services across the globe deferred non-urgent surgeries, labor wards provided maternity care during the pandemic continuously. This study assesses the knowledge and practices of obstetricians and midwives about personal protective equipment (PPE), their risk perception of COVID-19 and satisfaction with the preventive measures adopted at their workplace. METHODS A questionnaire, designed according to the World Health Organization’s advice on rational use of personal protective equipment for COVID-19, was administered to 452 Pakistani maternity care providers between 1 July and 30 July 2020. RESULTS Only 32% of pregnant women had a good compliance to their routine antenatal drugs while forgetfulness (27.2%) and vomiting as a side effect of a drug (25.7%) were the major barriers to compliance with routine drugs. Furthermore, there was a statistically significant association between respondents’ compliance with antenatal drugs and number of children as well as level of income (p<0.001). No statistically significant association was found between education level and compliance. CONCLUSIONS Nurses and other health workers should support pregnant women to set reminders for taking their medications and prescribe alternative dosage forms or products that will not induce vomiting. In addition, antenatal education should emphasize the benefits of adherence to routine taking of medications at every stage of pregnancy and the possible negative consequences of non-compliance.

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Section: Introductionmentioning

confidence: 98%

Knowledge and practices: Risk perceptions of COVID-19 and satisfaction with preventive measures at workplace among maternity care providers in Pakistan

Izhar¹,

Husain²,

Tahir³

et al. 2021

Eur J Midwifery

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show abstract

“…The disagreement among scholars on the role played by population density in the development of pandemics is one of the principal motivators for the current research. Due to the inconclusive empirical data on the topic, it is crucial to investigate the practical significance of population density as a causative factor for newly emerging infectious diseases such as Covid-19 [ 41 ]. Previous studies emphasized the need of uncovering to what extent population density correlates with epidemiological variables such as infectivity rates and mortality rates in countries with strict lockdown policies.…”

Section: Literature Reviewmentioning

confidence: 99%

Economic Role of Population Density during Pandemics—A Comparative Analysis of Saudi Arabia and China

Yusuf

Shesha

2021

IJERPH

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As a novel infection with relatively high contagiousness, the coronavirus disease emerged as the most pertinent threat to the global community in the twenty-first century. Due to Covid-19’s severe economic impacts, the establishment of reliable determining factors can help to alleviate future pandemics. While a population density is often cited as a major determinant of infectious cases and mortality rates, there are both proponents and opponents to this claim. In this framework, the study seeks to assess the role of population density as a predictor of Covid-19 cases and deaths in Saudi Arabia and China during the Covid-19 pandemic. With high infectivity and mortality being a definitive characteristic of overpopulated regions, the authors propose that Henry Kissinger’s population reduction theory can be applied as a control measure to control future pandemics and alleviate social concerns. If high-density Chinese regions are more susceptible to Covid-19 than low-density Saudi cities, the authors argue that Neo-Malthusian models can be used as a basis for reducing the impacts of the coronavirus disease on the economic growth in countries with low population density. However, the performed correlation analysis and simple linear regression produced controversial results with no clear connection between the three studied variables. By assessing population density as a determinant of health crises associated with multiple socio-economic threats and epidemiological concerns, the authors seek to reinvigorate the scholarly interest in Neo-Malthusian models as a long-term solution intended to mitigate future disasters. The authors recommend that future studies should explore additional confounding factors influencing the course and severity of infectious diseases in states with different population densities.

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“…The world is witnessing an unanticipated public health crisis because of the COVID-19 pandemic also known as ‘severe acute respiratory syndrome coronavirus‑2 (SARS‑Cov‑2)’ (Lahiri et al 2020 ; Arif and Sengupta 2020 ). The outbreak of COVID-19 was first reported in the city of Wuhan, China, in December 2019 and has spread worldwide (Ghosh et al 2020a , b ).…”

Section: Introductionmentioning

confidence: 99%

Determinants of COVID-19 pandemic in India: an exploratory study of Indian states and districts

Pandey

Prakash

Agur³

et al. 2021

J. Soc. Econ. Dev.

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The countries across the globe are facing one of the worst infectious diseases in modern times in the form of COVID-19 pandemic. Different measures have been taken to control and manage the outbreak of COVID-19 in these countries. There are two propositions in context of effective control and management of a pandemic like COVID-19. First, a strong and effective public health care system is essential for managing the public health crisis and the uneven responses to COVID-19 are mainly because of inadequate health infrastructure. Second, the spread of COVID-19 depends on the interplay of other social determinants at local level, and therefore, addressing the gaps in social determinants of COVID-19 at local level is critical to control and manage this pandemic. The present paper attempts to examine these two propositions in Indian context at states and districts level, respectively. Using the cross-sectional data and constructing composite indices of COVID-19 intensity and level of health infrastructure at state level, the results show that there is no robust relationship between level of health infrastructure and management of COVID-19 at state level as the states with better health infrastructure are also struggling to combat against COVID-19. The district-level analysis indicates a significant relationship between concentration of COVID-19 and social determinants as majority of the districts with higher concentration of COVID-19 are those which have social determinants below national average.

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Nexus between population density and novel coronavirus (COVID-19) pandemic in the south Indian states: A geo-statistical approach

Cited by 41 publications

References 47 publications

Knowledge and practices: Risk perceptions of COVID-19 and satisfaction with preventive measures at workplace among maternity care providers in Pakistan

Knowledge and practices: Risk perceptions of COVID-19 and satisfaction with preventive measures at workplace among maternity care providers in Pakistan

Economic Role of Population Density during Pandemics—A Comparative Analysis of Saudi Arabia and China

Determinants of COVID-19 pandemic in India: an exploratory study of Indian states and districts

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