Re:(In) visible impact of inadequate WaSH Provision on COVID-19 incidences can be not be ignored in large and megacities of India

A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran

Social vulnerability and society's resilience are two concepts frequently used to examine the capacity of social systems to prepare, absorb, and adapt to environmental hazards and shocks. With the emergence of the COVID-19 pandemic, the role of social vulnerability in dealing with risks has gained renewed attention. Assessing social vulnerability can help managers and planners prioritize budgets, develop prevention programs, and enhance risk preparedness. This study aimed to determine the association between social vulnerability and COVID-19 in the neighborhoods of Ahvaz, Iran. To assess the social vulnerability of Ahvaz neighborhoods, decision-making techniques (best-worst method and weighted aggregated sum product assessment method) and geographic information systems were applied. Moreover, to investigate the relationship between social vulnerability and COVID-19 cases, the Pearson correlation test was used. The results showed that the '20-meteri shahrdari' neighborhood has the highest level of social vulnerability, and the lowest level of social vulnerability among the neighborhoods of Ahvaz belongs to the neighborhood of 'Shahrak Naft'. There is a low inverse association between the integrated index of social vulnerability and the incidence of COVID-19 per 1000 people in Ahvaz. By revealing the most important details at the neighborhood level and levels of vulnerability, the results can inform effective planning actions at the neighborhood level.

Water, sanitation, hygiene practices, health and nutritional status among children before and during the COVID-19 pandemic: longitudinal evidence from remote areas of Dailekh and Achham districts in Nepal

Background

The COVID-19 pandemic drew hygiene to the center of disease prevention. The provision of adequate water, sanitation, and hygiene (WASH) services is crucial to protect public health during a pandemic. Yet, access to levels of water supply that support adequate hygiene measures are deficient in many areas in Nepal. We examined WASH practices and their impact on child health and nutritional status in two districts before and during the COVID-19 pandemic.

Methods

A longitudinal and mixed method study was conducted in March–May 2018 and November–December 2021. In total, 715 children aged 0–10 years were surveyed at baseline. Of these, 490 children were assessed at endline. Data collection methods included observations, a questionnaire, stool analysis, anthropometric measurements, water quality analysis, and an assessment of clinical signs of nutritional deficiencies. We conducted 10 in-depth interviews to understand major problems related to COVID-19.

Results

Most respondents (94.2%) had heard about COVID-19; however, they did not wear face masks or comply with any social distancing protocols. Almost 94.2% of the households self-reported handwashing with soap 5–10 times per day at endline, especially after defecation, compared to 19.6% at baseline. Water quality was better at endline than at baseline with median 12 to 29 CFU Escherichia coli/100 mL (interquartile range at baseline [IQR] = 4–101) at the point of collection and 34 to 51.5 CFU Escherichia coli/100 mL (IQR = 8–194) at the point of consumption. Fever (41.1–16.8%; p = 0.01), respiratory illness (14.3–4.3%; p = 0.002), diarrhea (19.6–9.5%; p = 0.01), and Giardia lamblia infections (34.2–6.5%, p = 0.01) decreased at endline. In contrast, nutritional deficiencies such as bitot’s spots (26.7–40.2%; p = 0.01), pale conjunctiva (47.0–63.3%; p = 0.01), and dermatitis (64.8–81.4%; p = 0.01) increased at endline. The inadequacy of the harvest and the lack of household income to meet households’ nutritional needs increased drastically (35.0–94.2%; p = 0.01).

Conclusion

We found that improved water quality and handwashing practices were associated with a decrease in infectious diseases. However, food security also decreased resulting in a high prevalence of nutritional deficiencies. Our findings underline that disaster preparedness should consider access to adequate WASH, nutrition, and health supplies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14346-8.

Determining the Factors That Influence Stunting during Pandemic in Rural Indonesia: A Mixed Method

OBJECTIVE

Pandemic causes an increase in the poverty rate. The consequences will be many, including the birth of stunting babies. The COVID-19 pandemic has had an impact on stunting. Analyzing the factors that cause stunting during a pandemic will provide suggestions for effective stunting prevention strategies at the national, regional, community, and household levels. This study aims to determine the factors that influence stunting during the pandemic.

METHOD

We use mixed methods. The respondents of this study were 152 mothers of the Maternal and Child Nutrition Security project, and the sampling technique is Cluster Sampling. Quantitatively using a baseline survey whose analysis uses multiple logistic regression to determine the unadjusted and adjusted odds ratio. The qualitative data used focus group discussions which were analyzed using Nvivo 12 with a questionnaire, and anthropometric measurements of children from surveyed households.

RESULTS

This study summarizes the multivariate analysis of stunting determinants in the pandemic era, revealing statistically significant interactions between household sanitation facilities and household water treatment. Significant risk factors for severe stunting during the pandemic were male gender, older child age, coming from a low socioeconomic quintile, not participating in prenatal care at a health facility, and mother's involvement in choices about what to prepare for Community House. The FGDs identified misinformation about childcare and consumption of sweetened condensed milk as significant contributors to child malnutrition.

CONCLUSIONS

Lack of sanitation facilities and untreated water are contributing factors. Water, sanitation, and hygiene initiatives must be included into Indonesian policies and programs to combat child stunting during a pandemic. The need for further research related to government assistance for improving toddler nutrition, as well as the relationship between WASH and linear development in early infancy should be explored.

Communicating Water, Sanitation, and Hygiene under Sustainable Development Goals 3, 4, and 6 as the Panacea for Epidemics and Pandemics Referencing the Succession of COVID-19 Surges

WASH (water, sanitation, and hygiene) has become the most crucial amenity in the past decade for every individual on the planet. In the UN agenda for 2030, which created 17 Sustainable Development Goals (SDGs), SDGs 3, 4, and 6 directly correlate with WASH practices and management for creating a good health hygiene environment for all. The dearth of WASH facilities has created barriers for averting the transmission of COVID-19, motivating the concept of WASH as the primary step of precaution and prevention, which includes WASH practices, communication for literacy, and positive behavioral changes primarily in developing and low-income countries. This Review deals with the complex concept of correlation of WASH and SDGs 3, 4, and 6 while defining elaborate WASH practices, including the prominence of clean water, the need for sanitation facilities, and health hygiene for good health and immunity for preparedness for and during epidemics and pandemics. Certain risk factors explain the sectors in which the gaps exist, creating a gap for implementation of WASH practices in epidemics and pandemics across the globe. Further, COVID-19 surge succession is presented along with data of different variants that have occurred. The need of WASH understanding is required using different tools (audio-visual, social media, print media, and mass media) and strategies (communication, advocacy, and positive behavioral changes) for every individual as an act to counter consequences during and after the COVID-19 pandemic and as a routine practice for future preparedness. This Review gives a detailed concept of WASH understanding for every sector from community to government agencies and research professionals to act immediately for the sustainable future of humanity.

Habitat vulnerability in slum areas of India - What we learnt from COVID-19?

UN-Habitat identified the present COVID-19 pandemic as 'city-centric'. In India, more than 50% of the total cases were documented in megacities and million-plus cities. The slums of cities are the most vulnerable due to its unhygienic environment and high population density that requires an urgent implementation of public healthcare measures. This study aims to examine habitat vulnerability in slum areas to COVID-19 in India using principal component analysis and Fuzzy AHP based technique to develop slum vulnerability index to COVID-19 (SVI_covid-19). Four slum vulnerability groups (i.e. principal components) were retained with eigen-values greater than 1 based on Kaiser criterion - poor slum household status; lack of social distance maintenance; high concentrations of slum population and towns and mobility of the households. This study also mapped composite SVI_covid-19 on the basis of PCA and Fuzzy AHP method at the state level for a better understanding of spatial variations. The result shows that slums located in the eastern and central parts of India (particularly Uttar Pradesh, Bihar, Jharkhand, Odisha, West Bengal) were more vulnerable to COVID-19 transmission due to lack of availability as well as accessibility to the basic services and amenities to slum dwellers. Thus, the findings of the study may not only help to understand the habitat vulnerability in slum areas to COVID-19 but it will also teach a lesson to implement effective policies for enhancing the quality of slum households (HHs) and to reduce the health risk from any infectious disease in future.

Spatial analysis of COVID-19 incidence and its determinants using spatial modeling: A study on India

The first incident of COVID-19 case in India was recorded on 30th January, 2020 which turns to 100,000 marks on May 19th and by June 3rd it was over 200,000 active cases and 5,800 deaths. Geographic Information System (GIS) based spatial models can be helpful for better understanding of different factors that have triggered COVID-19 spread at district level in India. In the present study, 19 variables were considered that can explain the variability of the disease. Different spatial statistical techniques were used to describe the spatial distribution of COVID-19 and identify significant clusters. Spatial lag and error models (SLM and SEM) were employed to examine spatial dependency, geographical weighted regression (GWR) and multi-scale GWR (MGWR) were employed to examine at local level. The results show that the global models perform poorly in explaining the factors for COVID-19 incidences. MGWR shows the best-fit-model to explain the variables affecting COVID-19 (R2= 0.75) with lowest AICc value. Population density, urbanization and bank facility were found to be most susceptible for COVID-19 cases. These indicate the necessity of effective policies related to social distancing, low mobility. Mapping of different significant variables using MGWR can provide significant insights for policy makers for taking necessary actions.

Risk Analysis of COVID-19 Infections in Kolkata Metropolitan City: A GIS-Based Study and Policy Implications

The COVID-19 pandemic has affected daily lives of people around the world. People have already started to live wearing masks, keeping a safe distance from others, and maintaining a high level of hygiene. This paper deals with an in-depth analysis of riskness associated with COVID-19 infections in Kolkata Municipal Corporation (KMC) at the subcity (ward) level. Attempts have been made to identify the areas with high or low risk of infections using GIS-based geostatistical approach. Cosine Similarity Index has been used to rank different wards of KMC according to the degree of riskness. Four indices were computed to address intervention objectives and to determine "Optimized Prevention Rank" of wards for future policy decisions. The highest risk areas were located in the eastern and western part of the city, to a great extent overlapped with wards containing larger share of population living in slums and/or below poverty level. On the other hand, highly infected areas lie in central Kolkata and in several wards at the eastern and northeastern periphery of the KMC. The "Optimized Prevention Rank" have indicated that the lack of social awareness along with lack of social distancing have contributed to the increasing number of containments of COVID-19 cases. The rankings of the wards would no doubt provide the policy makers a basis to control further spread of the disease. Since effective antiviral drugs are already in the market, the best application of our research would be in the ensuing vaccination drive against further COVID-19 infections.

Living environment matters: Unravelling the spatial clustering of COVID-19 hotspots in Kolkata megacity, India

The emergence of COVID-19 has brought a serious global public health threats especially for most of the cities across the world even in India more than 50 % of the total cases were reported from large ten cities. Kolkata Megacity became one of the major COVID-19 hotspot cities in India. Living environment deprivation is one of the significant risk factor of infectious diseases transmissions like COVID-19. The paper aims to examine the impact of living environment deprivation on COVID-19 hotspot in Kolkata megacity. COVID-19 hotspot maps were prepared using Getis-Ord-Gi* statistic and index of multiple deprivations (IMD) across the wards were assessed using Geographically Weighted Principal Component Analysis (GWPCA).Five count data regression models such as Poisson regression (PR), negative binomial regression (NBR), hurdle regression (HR), zero-inflated Poisson regression (ZIPR), and zero-inflated negative binomial regression (ZINBR) were used to understand the impact of living environment deprivation on COVID-19 hotspot in Kolkata megacity. The findings of the study revealed that living environment deprivation was an important determinant of spatial clustering of COVID-19 hotspots in Kolkata megacity and zero-inflated negative binomial regression (ZINBR) better explains this relationship with highest variations (adj. R2: 71.3 %) and lowest BIC and AIC as compared to the others.

Water, sanitation, hygiene and waste disposal practices as COVID-19 response strategy: insights from Bangladesh

The COVID-19 pandemic has caused a global emergence, and the absence of a proven vaccine or medicine has led to the implementation of measures to prevent and control the spread of the virus. Wearing protective equipment like mask and gloves, washing hands via soap, frequent use of antiseptic solution and maintaining social distance are being applied globally to reduce the transmission rate. Therefore, this study was intended to investigate water, sanitation and hygienic (WASH) behaviour, protective equipment use and their disposal practices among Bangladeshi residents amid the COVID-19 pandemic. Based on the study aims, data were collected mainly via an online survey and analysed through a set of statistical tools including T test, one-way ANOVA and principal component analysis (PCA). This study found that almost 89.80% of the respondents reported to know about the COVID-19 and its preventive measures. WASH status of the respondents is found quite good, where 94.60% stated to have available potable water, 99% have improved toilet facilities, 95% wash their hands via soap, and 79.80% clean their house and toilets by antiseptic solutions properly. Moreover, nearly 94.50% and 54.80% people reported to use face mask and hand gloves, respectively, but the disposal practice of these protective equipment is inappropriate. More than 50% of people reported disposing of their used mask, gloves and tissue with other household wastes, which is alarming for public health and environmental perspective. Moreover, the WASH and waste disposal practices of the marginal people were found very poor and not at a satisfactory level. The results of statistical analysis focused on WASH and waste disposal practices as well as the factors which influence these practices. It is found that gender, occupation, area of residence, and level of education of the participants mainly influence the WASH and waste disposal practices. It is expected that this study exposed the necessity to introduce proper infectious waste management policy and also the increase in awareness level among mass people regarding the preventive measures of COVID-19 infection to combat against disease transmission and environmental pollution.

SUPPLEMENTARY INFORMATION

The online version of this article (10.1007/s10668-020-01151-9) contains supplementary material, which is available to authorized users.