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This report summarizes the main findings from the household midline survey conducted in seven villages of the district of Rupandehi, one of CCAFS site, in Nepal in July 2019. The household survey revisited the 135 households of the 2012 CCAFS baseline survey and used the same standardized household survey tools. The Open Data Kit (ODK) software was used for the data collection. The results show that the majority of households in Rupandehi produce a variety of crops, among which rice, wheat and mustard. Many farmers also rear livestock such as cows, buffalo, chicken, oxen and goat. All members of the family typically engage in the on-farm agricultural work but men are more likely to be also involved in off-farm activities. Households members derive their income from a variety of sources, the main one being payments from the government or other projects/programs. This is followed by remittances and income from businesses as the main alternative income sources for many households. Moreover, most of the farmers have made changes in their agricultural practices since the baseline. Many have introduced higher-yielding crop varieties or have stopped keeping one or more types of animals on the farm. In terms of food security, the majority of the households surveyed in Rupandehi district are food secure throughout the entire year. The households mostly obtain their food directly from their farms. However, some of the households purchase food from other sources, especially during the month of June, July and August. Most farmers are small landholders, almost 75% of the households' land sizes are marginal (< 1 ha), followed by a minority of smallholders owning between 1 and 2 ha of land. 98% of the households indicated buying seeds and inorganic fertilizers whereas 95% of households reported the purchase of pesticides and insecticides. 70% of households also recorded the purchase of veterinary medicine. According to the survey, television, cell phone and bicycle are the most common assets in the area. Internet access is also common in many households. Women are mostly involved in crops cultivation, mainly vegetables and cereals along with rearing livestock. The farmers have shifted towards higher-yielding and better-quality varieties of rice, and wheat. The survey findings indicate that farmers are well aware of agricultural innovations and tend to use new crop varieties.

Aims: To estimate the prevalence of psychiatric symptoms in the Kampong Cham province and to determine the association between these symptoms and an impaired social functioning. Methods: Cross-sectional cluster sample survey conducted among adults randomly selected within 50 clusters distributed over the province. Results: Of the respondents, 42.4% reported symptoms that met the Diagnostic and Statistical Manual of Mental Disorders, 4th edition criteria for depression, 53% displayed high anxiety symptoms and 7.3% met posttraumatic stress disorder (PTSD) criteria. Posttraumatic symptoms of intrusion and avoidance were present in 47.8% and 45.4% respectively. When reviewing comorbidities, 29.2% had depression and anxiety symptoms, 16.5% anxiety symptoms, 6.1% depression and 7.1% had triple comorbidity (PTSD, depression and anxiety). Regarding social functioning, 25.3% reported being socially impaired. Respondents with comorbid symptoms for depression, anxiety and PTSD were associated with an increased risk for social impairment compared with others. Being over 65 years and having experienced violent events were other factors associated with social impairment. Conclusion: Five years after the return of a more stable context in Cambodia, the prevalence of psychiatric symptoms in the community remains high. In addition, these symptoms are strongly associated with social impairment. This suggests that beyond psychosocial programs, the implementation of adapted clinical psychiatric care should be considered as a priority.

The Pakistan Initiative for Mothers and Newborns (PAIMAN) is a five-year project funded by the United States Agency for International Development (USAID). PAIMAN is committed to assisting the Government of Pakistan in implementing the full spectrum of interventions necessary to address maternal and neonatal health issues. USAID has provided a grant to implement PAIMAN in ten districts of Pakistan's four provinces. The goal of the project is to reduce maternal, newborn, and child mortality. The project calls for a multipronged and integrated strategic approach combining individual health care with public health and community-based interventions. To ensure that success is properly attained and appropriate lessons are learned, PAIMAN has developed a monitoring and evaluation plan, which includes the establishment of baseline measures for a set of indicators that will be used to evaluate the success of the project. This baseline report explores the level of knowledge of, as well as the attitudes and behaviors toward, maternal and newborn health in DG Khan district.

The socio-economic databases in Pakistan, as in most
countries, can be classified into three broad categories, namely
registration-based statistics, data produced by different population
censuses and household survey-based data. The registration system of
births and deaths in Pakistan has historically been inadequate [Afzal
and Ahmed (1974)] and the population censuses have not been carried out
regularly. The household surveys such as Pakistan Demographic Survey
(PDS), Labour Force Survey (LFS) and Household Income Expenditure Survey
(HIES) have been periodically conducted since the 1960s. These surveys
have filled the data gaps created by the weak registration system and
the irregularity in conducting censuses. The data generated by the
household surveys have also enabled social scientists to examine a wide
range of issues, including natural increase in population, education,
employment, poverty, health, nutrition, and housing. All these surveys
are, however, cross-sectional in nature so it is not possible to gauge
the dynamics of these social and economic processes, for example the
transition from school to labour market, movement into or out of
poverty, movement of labour from one state of employment to another. A
proper understanding of such dynamics requires longitudinal or panel
datasets where the same households are visited over time. Since panel
surveys are complex and expensive to carry out, they are not as commonly
conducted as the cross-sectional surveys anywhere in the world and in
Pakistan they are even rarer

This study tests the prediction that a corrupt government reduces ethical behavior among its citizens. We integrate a standard "cheating" experiment into a broad household survey and find clear support for this prediction: respondents who perceive corruption in state affairs are more likely to cheat. Interestingly, there is a small group of non-conformers. The main relation is robust to consideration of many (largely insignificant) socio-demographic control variables. Attendance of others at the cheating experiment, thus stimulating the reputational concern to be seen as honest, reduces cheating. Again, this does not diminish the predictive role of corruption.