Participatory mapping and collaborative action for inclusive and sustainable mountain landscape development in Far West Nepal

Nepal is one of the world’s most vulnerable countries to the impacts of climate change due to its high-relief topography, heavy monsoon rainfall, and weak governance. Landslides are common across almost all Nepal’s vast Himalaya mountains, of which the Far Western region suffers most, and climate change, coupled with severe under-development is expected to exacerbate the situation. Deficiency in spatial data and information seriously hinder the design and effective implementation of development plans, especially in the least developed areas, such as Seti River Basin in Far Western Nepal, where landslides constantly devastate landscapes and communities. We adopted a participatory mapping process with emerging collaborative digital mapping techniques to tackle the problem of critical information gaps, especially spatial risk information at local levels which compromise efforts for sustainable landscape planning and uses in disaster prone regions. In short, participatory here refers to working with local stakeholders and collaborative refers to crowdsourced map information with citizens and professionals. Engaging a wide range of stakeholders and non-stakeholder citizens in this integrated mapping processes eventually structure human capital at local scales with skills and knowledge on maps and mapping techniques. Also, this approach increases spatial knowledge and their uses in development planning at the local level and eventually increases landscape resilience through improved information management. We will further discuss how this integrated approach may provide an effective link between planning, designing, and implementing development plans amid fast policy and environmental changes and implications for communities in the developing world, especially in the context of climate change and its cascading effects

Open data in building resilience to recurrent natural hazards in remote mountainous communities of Nepal

The concept of using open data in development planning and resilience building to frequent environmental hazards has gained substantial momentum in recent years. It is helpful in better understanding local capacities and associated risks to develop appropriate risk reduction strategies. Currently, lack of accurate and sufficient data has contributed to increased environmental risks, preventing local planners the opportunity to consider these risks in advance. To fulfil this gap, this study presents an innovative approach of using openly available platforms to map locally available resources and associated risks in two remote communities of Nepal. The study also highlights the possibility of using the combined knowledge of technical persons and citizen scientists to collect geo-spatial data to support proper decision making. We harnessed the power of citizen scientists to collect geo-spatial data by training them on currently available tools and platforms. Also, we equipped these communities with the necessary instruments to collect location based data. Later, these data collected by citizen scientists were uploaded in the online platforms. The collected data are freely accessible to community members, government and humanitarian actors which could be used for development planning and risk reduction. Moreover, the information co-generated by local communities and scientists could be crucial for local government bodies to plan activities related to disaster risk reduction. Through the piloting in two communities of Nepal, we have found that using open data platforms for collecting and analysing location based data has a mutual benefit to researchers and communities. These data could be vital in understanding the local landscape of development, environmental risk and distribution of resources. Furthermore, it enables both researchers and local people to transfer the technical knowledge, collect location specific data and use them in better decision making

An Open Data and Citizen Science Approach to Building Resilience to Natural Hazards in a Data-Scarce Remote Mountainous Part of Nepal

The citizen science approach has gained momentum in recent years. It can enable both experts and citizen scientists to co-create new knowledge. Better understanding of local environmental, social, and geographical contexts can help in designing appropriate plans for sustainable development. However, a lack of geospatial data, especially in the context of developing countries, often precludes context-specific development planning. This study therefore tests an innovative approach of volunteer citizen science and an open mapping platform to build resilience to natural hazards in the remote mountainous parts of western Nepal. In this study, citizen scientists and mapping experts jointly mapped two districts of Nepal (Bajhang and Bajura) using the OpenStreetMap (OSM) platform. Remote mapping based on satellite imagery, capacity building, and mobilization of citizen scientists was performed to collect the data. These data were then uploaded to OSM and later retrieved in ArcGIS to produce a usable map that could be exploited as a reference resource for evidence-based decision-making. The collected data are freely accessible to community members as well as government and humanitarian actors, and can be used for development planning and risk reduction. By piloting in two communities of western Nepal, we found that using open data platforms for collecting and analyzing location-based data has a mutual benefit for researchers and communities. Such data could be vital in understanding the local landscape, environmental risk, and distribution of resources. Furthermore, they enable both researchers and local people to transfer technical knowledge, collect location-specific data, and use them for better decision-making

Micro Health Project

Community health diagnosis is a comprehensive assessment of health status of the community in relation to its social, physical and biological environment. The purpose of community health diagnosis is to define existing problems, determine available resources and set priorities for planning, implementing and evaluating health action, by and for the community. The community health diagnosis program began on 4th September 2015 and continued till 13th September 2015 in ward no 1 and 5 Rupakot VDC, Kaski, Nepal. The program was organized in following phases: data collection, data analysis, first community presentation, prioritization of need and planning of micro health project (MHP), implementation and evaluation of MHP, and final community presentation. On the basis of the observed and the felt needs of the community, we found the real needs and prioritized them as follows. For community: Proper water purification, information about common diseases, KAP on diseases, knowledge on TB and DOTS. For school-going children: Education on environmental sanitation, education on personal hygiene - teeth brushing and hand washing, adolescent health education. We launched micro health project (MHP) on these topics, conducting school-based as well as community-based programs.  Journal of Gandaki Medical College Vol. 10, No. 1, 2017, Page: 59-6

Factors associated with infant mortality in Nepal: a comparative analysis of Nepal demographic and health surveys (NDHS) 2006 and 2011

Background: Infant mortality is one of the priority public health issues in developing countries like Nepal. The infant mortality rate (IMR) was 48 and 46 per 1000 live births for the year 2006 and 2011, respectively, a slight reduction during the 5 years’ period. A comprehensive analysis that has identified and compared key factors associated with infant mortality is limited in Nepal, and, therefore, this study aims to fill the gap. Methods: Datasets from Nepal Demographic and Health Surveys (NDHS) 2006 and 2011 were used to identify and compare the major factors associated with infant mortality. Both surveys used multistage stratified cluster sampling techniques. A total of 8707 and 10,826 households were interviewed in 2006 and 2011, with more than 99% response rate in both studies. The survival information of singleton live-born infants born 5 years preceding the two surveys were extracted from the ‘childbirth’ dataset. Multiple logistic regression analysis using a hierarchical modelling approach with the backward elimination method was conducted. Complex Samples Analysis was used to adjust for unequal selection probability due to the multistage stratified cluster-sampling procedure used in both NDHS.Results: Based on NDHS 2006, ecological region, succeeding birth interval, breastfeeding status and type of delivery assistance were found to be significant predictors of infant mortality. Infants born in hilly region (AOR = 0.43, p = 0.013) and with professional assistance (AOR = 0.27, p = 0.039) had a lower risk of mortality. On the other hand, infants with succeeding birth interval less than 24 months (AOR = 6.66, p = 0.001) and those who were never breastfed (AOR = 1.62, p = 0.044) had a higher risk of mortality. Based on NDHS 2011, birth interval (preceding and succeeding) and baby’s size at birth were identified to be significantly associated with infant mortality. Infants born with preceding birth interval (AOR = 1.94, p = 0.022) or succeeding birth interval (AOR = 3.22, p = 0.002) shorter than 24 months had higher odds of mortality while those born with a very large or larger than average size had significantly lowered odds (AOR = 0.17, p = 0.008) of mortality. Conclusion: IMR and associated risk factors differ between NDHS 2006 and 2011 except ‘succeeding birth interval’ which attained significant status in the both study periods. This study identified the ecological region, birth interval, delivery assistant type, baby’s birth size and breastfeeding status as significant predictors of infant mortality

System of crop intensification for more productive, resource-conserving, climate-resilient, and sustainable agriculture: experience with diverse crops in varying agroecologies

With continually increasing demand for food accompanied by the constraints of climate change and the availability and quality of soil and water, the world’s farmers are challenged to produce more food per hectare with less water, and with fewer agrochemical inputs if possible. The ideas and methods of the system of rice intensification which is improving irrigated rice production are now being extended/adapted to many other crops: wheat, maize, finger millet, sugarcane, tef, mustard, legumes, vegetables, and even spices. Promoting better root growth and enhancing the soil’s fertility with organic materials are being found effective means for raising the yields of many crop plants with less water, less fertilizer, reduced seeds, fewer agrochemicals, and greater climate resilience. In this article, we review what is becoming known about various farmer-centred innovations for agroecological crop management that can contribute to agricultural sustainability. These changes represent the emerging system of crop intensification, which is being increasingly applied in Asian, African, and Latin American countries. More research will be needed to verify the efficacy and impact of these innovations and to clarify their conditions and limits. But as no negative effects for human or environmental health have been identified, making these agronomic options more widely known should prompt more investigation and, to the extent justified by results, utilization of these methodologies

Determinants of Complementary Feeding Practices Among Nepalese Children Aged 6-23 Months: Findings From Demographic and Health Survey 2011

Background: The adoption of inappropriate feeding practices is one of the reasons for under nutrition in Nepal and elsewhere. The objective of this study was to describe the rate of and identify the factors associated with providing the World Health Organization (WHO) recommended infant feeding practices of minimum dietary diversity, minimum meal frequency and minimum acceptable diet in Nepal amongst young children between 6–23 months in 2011. Methods: Data from Nepal Demographic and Health Survey (NDHS) 2011 was used. Prevalence of minimum dietary diversity, minimum meal frequency and minimum acceptable diet was obtained by using descriptive statistics. A Chi-square test (χ2) followed by multiple logistic regression analyses were used to determine the adjusted effect of potential factors on the outcome variables. Results: Of the 698 children aged 6–23 months; while 535 (76.6%) received the minimum meal frequency, only 212 (30.4%) children received the minimum dietary diversity, and 185 (26.5%) received an acceptable diet. Children of older mothers (>35 years); educated mothers and fathers; and mothers from all the development regions except the Mid-western region were more likely to have been provided with the recommended dietary diversity. Children of mothers who had attended ≥4 antenatal visits and who lived in the Eastern region were more likely to provide their child with the recommended meal frequency. Children of mothers, who attended ≥ 4 antenatal visits, were educated and whose fathers had at least a secondary education were more likely to meet the recommended acceptable diet standards.Conclusion: Young children aged less than two years in Nepal are at risk for not meeting the WHO recommended infant feeding standards given that only about one in three children were provided with the recommended dietary diversity and acceptable diet. This finding suggests that the majority of children are at risk of under nutrition. An appropriate mix of health education and food supplements could be a feasible option for Nepal to improve the number of children who meet the recommended infant feeding guidelines, reduce under nutrition and improve the survival rates of young children

The population of merging compact binaries inferred using gravitational waves through GWTC-3

We report on the population properties of 76 compact binary mergers detected with gravitational waves below a false alarm rate of 1 per year through GWTC-3. The catalog contains three classes of binary mergers: BBH, BNS, and NSBH mergers. We infer the BNS merger rate to be between 10 $\rm{Gpc^{-3} yr^{-1}}$ and 1700 $\rm{Gpc^{-3} yr^{-1}}$ and the NSBH merger rate to be between 7.8 $\rm{Gpc^{-3}\, yr^{-1}}$ and 140 $\rm{Gpc^{-3} yr^{-1}}$ , assuming a constant rate density versus comoving volume and taking the union of 90% credible intervals for methods used in this work. Accounting for the BBH merger rate to evolve with redshift, we find the BBH merger rate to be between 17.9 $\rm{Gpc^{-3}\, yr^{-1}}$ and 44 $\rm{Gpc^{-3}\, yr^{-1}}$ at a fiducial redshift (z=0.2). We obtain a broad neutron star mass distribution extending from $1.2^{+0.1}_{-0.2} M_\odot$ to $2.0^{+0.3}_{-0.3} M_\odot$. We can confidently identify a rapid decrease in merger rate versus component mass between neutron star-like masses and black-hole-like masses, but there is no evidence that the merger rate increases again before 10 $M_\odot$. We also find the BBH mass distribution has localized over- and under-densities relative to a power law distribution. While we continue to find the mass distribution of a binary's more massive component strongly decreases as a function of primary mass, we observe no evidence of a strongly suppressed merger rate above $\sim 60 M_\odot$. The rate of BBH mergers is observed to increase with redshift at a rate proportional to $(1+z)^{\kappa}$ with $\kappa = 2.9^{+1.7}_{-1.8}$ for $z\lesssim 1$. Observed black hole spins are small, with half of spin magnitudes below $\chi_i \simeq 0.25$. We observe evidence of negative aligned spins in the population, and an increase in spin magnitude for systems with more unequal mass ratio

Open Data from the Third Observing Run of LIGO, Virgo, KAGRA, and GEO

The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data during their third observing run, O3, composed of three phases: O3a starting in 2019 April and lasting six months, O3b starting in 2019 November and lasting five months, and O3GK starting in 2020 April and lasting two weeks. In this paper we describe these data and various other science products that can be freely accessed through the Gravitational Wave Open Science Center at https://gwosc.org. The main data set, consisting of the gravitational-wave strain time series that contains the astrophysical signals, is released together with supporting data useful for their analysis and documentation, tutorials, as well as analysis software packages