Housing Type Research Articles

Affordable housing design in response to sociocultural context. A comparative study in Koya City

ABSTRACT Affordable housing design should respond to the socio-cultural context using adequate housing types. This study develops a theoretical framework for designing sustainable, affordable housing in Iraq based on learning from traditional architecture. It examines this framework by exploring famous traditional and modern types of affordable housing: type1 courtyard housing and type2 apartment buildings. Different values of sustainability are discussed, and three are elected: social qualities (safety and privacy), environmental qualities, and economic qualities (Compactness and Densification). An empirical study was conducted on the said types of affordable housing in Koya City to examine the proposed framework. The study results show that courtyard houses achieve sustainability values more than apartments. Traditional housing types can provide a sustainable environment with limited resources and simple manners. The paper’s main finding is that distributing inner outdoor spaces all over the housing area is critical to designing affordable housing for sustainability.

Associated Factors for the Prevalence of Bedbug Infestation (Cimex hemipterus) among Households in Nakuru Town, Kenya

Background: Infestations and the resurgence of bedbugs have recently been documented as serious health issues worldwide. Kenya reported 4000 bedbug-infested homes in 2018, so the increase in infestations is comparable to that of other African countries and the global average. Objective: the objective of the study was to determine bedbug prevalence and factors associated with bedbug infestation among heads of households in Nakuru County, Kenya. Method: The study used a cross-sectional descriptive study design. Cluster sampling and proportionate sampling were used to recruit the study respondents in this study. The Cochran formula was used to recruit 422 study respondents. The threshold for statistical significance was set at 0.05. Results: The prevalence of bedbug infestation was 53.1%. The presence of households with bedbugs was associated with the prevalence of bedbugs in the study households (p value<0.001). The purchase of second-hand furniture and clothes was associated with bedbug prevalence (p value=0.002 and 0.007 respectively). The number of rooms in households was associated with the prevalence of bedbugs (p value=0.008). The number of people living in households (p value=0.021) and the type of house were associated with the prevalence of bedbugs (p value<0.001). Conclusion: The prevalence of bedbug infestation was 53.1%. The type of house, number of people in a household, number of rooms in the household, and social factors including the existence of neighbors, relatives, friends, and job mates with bedbugs in their homes, heightened the chances of spreading the bedbugs to others. The purchase of second-hand furniture and clothes increased the prevalence of bedbugs.

Evaluating the Diagnosis of Malnutrition Based on Global Leadership Initiative on Malnutrition (GLIM) Criteria in Community-Dwelling Older Adults (Singapore Longitudinal Aging Study)

Background: A minority of studies using the GLIM criteria for malnutrition diagnosis have performed formal empirical validation. Objectives: To evaluate the concurrent and predictive validity of GLIM criteria with and without prior screening among community-dwelling older adults in Singapore. Method: In the Singapore Longitudinal Aging Study (SLAS-2, n = 2477), malnutrition was diagnosed using single-step and two-step GLIM procedures using the Mini Nutritional Assessment Short Form (MNA-SF) and Elderly Nutritional Index for Geriatric Malnutrition Assessment (ENIGMA) for initial screening. Criterion validity was evaluated using MNA-Full Form (MNA-FF) as reference malnutrition diagnosis. Prognostic validity was evaluated using logistic and Cox regression analyses with respect to impaired quality of life (QoL) and 10-year mortality. Results: GLIM malnutrition with and without MNA-SF or ENIGMA screening showed significant associations with known clinical correlates; single-step GLIM malnutrition: sensitivity = 80%, specificity = 83%; two-step MNA-SF-GLIM malnutrition: sensitivity = 80%, specificity = 85%; two-step ENIGMA-GLIM malnutrition: sensitivity = 74%, specificity = 88%; positive predictive values of around 20% and negative predictive values above 98%. Cohen’s kappa values of agreement were uniformly low (0.26 to 0.32). All showed significant associations with about 50% increased odds of impaired QoL and 10-year mortality, adjusted for age, sex, ethnicity, education levels, and housing type, with the ENIGMA-GLIM malnutrition showing the highest risk estimates. Compared to MNA-FF malnutrition prevalence of 4.1%, GLIM-based malnutrition increased prevalence (14.6% to 19.7%) estimates. Conclusions: The GLIM criteria showed good construct and criterion validity. It increased the number of individuals diagnosed with malnutrition. The agreement between diagnoses of malnutrition was low. Diagnostic and prognostic accuracy vary with the screening instrument used. Early identification of malnutrition using appropriate tools can provide opportunities to delay or prevent the risk of important adverse outcomes such as impaired QoL and mortality.

Household satisfaction with health services and response strategies to malaria in mountain communities of Uganda.

Measuring satisfaction with health service delivery in fragile communities provides an opportunity to improve the resilience of health systems to threats including climate change. Additionally, understanding factors associated with the choice of response strategies to certain public health threats provides an opportunity to design context-specific interventions. We used polytomous latent class analyses to group participants' responses and an additive Bayesian modelling network to explore satisfaction with health service delivery as well as factors associated with response strategies of households to malaria. We did this with a focus on the rural parts of Uganda in Mount Elgon. We found that approaches to malaria control and management at household level include the use of traditional (54.5%), private (20.5%) and publicly available services (25%). Regarding satisfaction with health services, 66.6% of respondents were satisfied with health service components of information flow, drug/vaccine access and accessibility. Type of housing, livelihood sources, previous malaria experience and health services were strongly associated with responses to malaria occurrence at household level. The rest of the factors were weakly associated with malaria responses. The indigenous interventions utilised by households to manage and control malaria were largely dependent on their satisfaction with health service delivery components. Interventions thus ought to leverage local existing knowledge to optimise outcomes and ensure sustainable health.

Cultural Imprints on Urban Housing: A Spatial Analysis of Apartment Designs in Kenya, Ghana, and South Africa

Apartment design is often assumed to follow a standardized model, disregarding cultural influences. However, cultural context can significantly shape the spatial organization of living environments. A significant gap exists in addressing how cultural factors influence apartment design in rapidly urbanizing African cities. Modern architectural practices frequently overlook the sociocultural dynamics essential for creating living spaces that resonate with local populations. This study investigates the spatial configuration of apartment units in three African countries—Kenya, South Africa, and Ghana—challenging the notion of universally homogeneous apartment designs. By applying Space Syntax, a quantitative analysis tool, this study examines how cultural factors distinctly influence the layout of apartments. The findings reveal significant variations, particularly in the design of corridors, domestic servant quarters, and the separation of private zones. This research highlights the importance of incorporating cultural considerations into architectural design processes to promote housing solutions that are functionally efficient, culturally relevant, and responsive to local social norms. Future research could explore how these cultural influences manifest across different housing types, such as informal settlements and high-rise apartments, or examine the impact of migration and globalization on evolving housing needs.

An interlinked dynamic model of timber and carbon stocks in Japan's wooden houses and plantation forests

Carbon absorption in growing trees is an important element of a carbon-neutral society, and the long-term storage of carbon stocks is a crucial sustainability challenge. Previous studies have focused on either live-biomass carbon stocks in plantation forests or anthropogenic carbon stocks in man-made objects. For a comprehensive nature-based climate solution, an analytical framework, dataset, and scenario setup for modeling the interrelationship between timber supply and demand are required. This study developed an interlinked material flow analysis model in which the timber demand for wooden houses is connected with timber supply from managed plantation forestry. We demonstrate the model by quantifying both live-biomass and anthropogenic carbon stocks and their potentials in Japan. We compared multiple scenario-runs of the model for wooden house demands estimated by population change with varying combinations of house types, structures, and lifespans. Our results show that carbon stocks will reach a maximum amount of 1.1 billion t-C by 2050 in a scenario of high demand for wooden detached houses with lifespan extensions. On the other hand, we also found that the aging of plantation forests and their reduced carbon-stocking capacities appear inevitable in any scenario owing to the limited demand for timber. Notably, despite the widely different settings of the various scenarios, our results exhibited narrow variances in future potential carbon storage in Japan. This can be explained by the unique population characteristics and building demographics of Japan. These counterintuitive findings highlight the need for interrelated modeling of the forestry and construction sectors. Our model and its scope are versatile and applicable to other case study areas, estimation periods, and target materials.

Identifying Predictors of Unfavorable Treatment Outcomes in Tuberculosis Patients

Objectives: In South Korea, there has been a continuous decrease in the incidence of tuberculosis (TB) attributable to a national TB elimination program; however, TB still poses a significant socioeconomic burden. This study aimed to analyze factors associated with successful TB treatment and to identify refractory patient groups with unfavorable outcomes. Methods: We analyzed anonymized data on 89,150 patients with TB provided by the Korea Disease Control and Prevention Agency. Specifically, we collected independent variables, which were categorized as individual, regional, and medical facility factors. Individual factors included age, sex, nationality, TB type, drug-resistant status, category of TB, housing type, underlying disease status, number of referrals, and smoking status. Regional factors referred to the region where the TB case was reported. Medical facility factors included the first visit to a medical facility, categorized by hospital type and the distinction between private–public mix (PPM) and non-PPM depending on the presence or absence of dedicated TB nurses. These factors were analyzed in relation to treatment success to identify refractory patient groups with unfavorable outcomes. Results: Multivariable logistic regression analysis revealed the following significant factors associated with successful TB treatment: sex, nationality, status of drug-resistant TB, category of TB, number of referrals, region of TB registry, underlying diseases, and smoking status. Specifically, compared with their relevant counterparts, male patients had a lower rate of successful treatment (adjusted odds ratio [aOR]: 0.66, reference [Ref.]: women); Korean nationals had a higher rate of treatment success (aOR: 7.20, Ref. foreign residents in Korea); resistant TB was associated with a lower rate of treatment success (aOR: 0.35, Ref.: non-resistant TB status); newly treated patients had a higher rate of treatment success (aOR: 1.75, Ref.: retreatment patient); switching hospitals once (aOR: 1.78), never (aOR: 1.41), or twice (aOR: 1.37) was associated with increased treatment success (Ref.: three or more times); having zero (aOR: 1.45), one (aOR: 1.31), or two (aOR: 1.24) underlying diseases was associated with a higher rate of treatment success (Ref. three or more underlying diseases); and past smokers (aOR: 1.40) and non-smokers (aOR: 1.35) had a higher rate of treatment success (Ref.: current smokers). Conclusions: Our study identified several factors contributing to unfavorable treatment outcomes in tuberculosis patients, including male patients, foreign residents in Korea, drug-resistant TB, retreatment patients, frequent hospital switching, multiple underlying diseases, and current smoking status. These research findings could inform the development of efficient management strategies and policies for improving the treatment success rate among patients with TB.

Housing Mobility and Preferred Housing Type Choice Factors Among Jjokbang Residents - A Multinomial Logit Model Approach to Empirical Analysis in Seoul -

Housing Mobility and Preferred Housing Type Choice Factors Among Jjokbang Residents - A Multinomial Logit Model Approach to Empirical Analysis in Seoul -

Effect of antibiotic growth promoters (AGPs) on feed conversion ratio (FCR) of broiler chickens: A meta-analysis

Antibiotics have been used for a long time as growth promoters in the poultry industry for growth and health benefits. However, recent studies reflected little, no, or negative impacts of using antibiotics for growth promotion purposes. This study was designed to examine the overall effect of antibiotic supplementation on the feed conversion ratio (FCR) in broiler chickens as a performance indicator and assess different covariates for explaining heterogeneity in response to the use of antibiotics as growth promoters. In this regard, FCRs obtained from articles that compared diets with and without antibiotics for broiler chickens were extracted from electronic databases (PubMed, Web of Science, and Google Scholar) as per PRISMA guidelines. The database comprised 42 scientific articles containing 74 experiments totaling 19,562 chickens. A basic meta-analysis and subgroup analysis were performed to assess the overall impact of antibiotic growth promoters (AGPs) on FCR of broiler chickens while a meta-regression analysis was used to assess different covariates (breed, antibiotic dose, location, time, presence of anticoccidial in the feed, antibiotic type, and housing type) to explain variations in true effect size of the studies. The basic meta-analysis of these studies revealed an overall improvement in FCR by 2.8 % (p < 0.05) due to addition of AGPs than the control group with the confidence interval range from 1.3 to 4.3 % and the prediction interval ranging between -10 and 16 %. The covariates, including breed, dose and location, provided the optimum model fit and explained 53 % of variations in the FCR across different studies. In summary, an overall marginal improvement has been observed in mean FCR of broiler chickens along with a wide range of variations in response to use of AGPs. The variations in true effects among these studies are subject to several confounding effects, particularly breed, dose and location. Considering the marginal positive effect of antibiotic usage in chicken performance, we recommend against using of AGP.

Social vulnerability and disparities in incidence of diagnosed diabetes in the united states, 2004 to 2019

Abstract Introduction Vulnerable populations experience a higher burden of cardiovascular disease.(1) However, the incidence of cardiovascular risk factors, such as diabetes, within these populations, is incompletely characterized. Recently, the United States Centers for Disease Control and Prevention (US CDC) developed the Social Vulnerability Index (SVI) to categorize counties that may be vulnerable to worse health outcomes. The SVI is composed of 4 themes: socioeconomic status (Theme 1), household composition &amp; disability (Theme 2), minority status &amp; language (Theme 3), and housing type &amp; transportation (Theme 4).(2) We sought to evaluate the association of the 4 SVI themes with county incidence of diagnosed diabetes. Method We used CDC data (2004-2019; reported for 94% of US counties), on county incidence of diagnosed diabetes. The SVI themes were scored from 0 to 1 (low to high vulnerability) based on national percentile ranking. We used weighted least squares regression with restricted cubic splines to model the relationship between SVI themes and incidence of diagnosed diabetes (median data 2004−2019), adjusting for median age, sex ratio, state, percent uninsured, food environment index, healthcare providers, and rurality.(3) The partial effects of SVI themes and diabetes incidence were reported as F-statistics (P-values) and diabetes incidence rate ratios (IRR [95% confidence interval]), which were plotted for all values compared with the 50th percentile (SVI 0.5). For each theme, we also present the IRR for a 0.5-point increase when moving over the lower (SVI score 0.5 vs. 0.0) and the upper (1.0 vs. 0.5) half of the SVI score distribution. Results The 4 SVI theme rank scores were significantly associated with diabetes incidence (all, P&amp;lt;.001). However, Theme 1 and 2 scores showed stronger associations with IRR than Theme 3 and 4 (Figure). For Theme 1, SVI score 0.5 vs. 0.0 was associated with a 15% higher incidence (IRR 1.15 [1.13–1.18]) and score 1.0 vs. 0.5 was associated with a 13% higher incidence (IRR 1.13 [1.11–1.16]). For Theme 2, SVI score 0.5 vs. 0.0 was associated with a 16% higher incidence (IRR 1.16 [1.14–1.18]), but there was no difference between rates for SVI score 1.0 vs. 0.5 (IRR 1.01 [0.99–1.03]). For Theme 3, there was no difference between SVI score 0.5 vs. 0.0 (IRR 0.98 [0.96–1.00]), but rates were 8% lower for SVI score 1.0 vs. 0.5 (IRR 0.92 [0.90–0.94]). For Theme 4, SVI score 0.5 vs. 0.0 was associated with a 3% lower incidence (IRR 0.97 [0.96–0.99]) and score 1.0 vs. 0.5 was associated with a 2% higher incidence (IRR 1.02 [1.01–1.04]). Conclusion In US counties, the strength and directionality of the association between SVI themes and diabetes incidence differed by theme and level of SVI scores. These themes, particularly socioeconomic status and household composition &amp; disability may be leveraged to identify high-risk counties for primary prevention of diabetes, with implications for reduction in cardiovascular risk.

Barriers to finding and maintaining pet-inclusive affordable housing: Tenant experiences in Houston, Texas

The city of Houston, Texas has a growing deficit of available and affordable rental units for low-income residents. Due to pet policies, the shortage of affordable housing potentially puts renters who own pets at greater risk of housing insecurity. In this qualitative study, we use a community-engaged approach to document the lived experiences of finding and maintaining affordable housing among 24 current, former, and aspiring pet owners. The majority of the participants identified as female, were aged 44–60 years, identified as Black, had a high school education, and were employed full-time or on disability or government assistance. Many expressed having experienced homelessness in the past and/or having lived in several different types of affordable housing over their lifetime. Participants highlighted challenges in finding pet-inclusive affordable housing, emphasized its importance, and discussed issues faced, such as high pet charges, size and breed restrictions, and confusion surrounding pet policies. Landlord relationships and living conditions varied, with safety concerns prevalent. Having one’s pet designated as an Emotional Support Animal made tenants feel safe and secure, knowing they could not be refused, evicted, or otherwise charged extra. Participants shared what is working well and what could be improved. This study concludes with recommendations for fair application and awareness of pet policies in affordable housing, drawing on participating tenants’ experiences and existing efforts for policy and practice improvements.

Research on the Green Construction Technology of Stilt Houses Based on the Climate Adaptation of Transitional Seasons

Stilt houses are extremely adaptable to terrain and climate. However, current indoor thermal environment research in transitional seasons is not prominent. Therefore, in this research, a typical stilt house in southwest China was chosen as the research object and analyzed by combining Climate Consultant climate analysis software and field measurement data. The results showed that the indoor thermal stability of a stilt house was excellent during the transition season, and the attic had the most obvious climate regulation, with the maximum temperature difference between indoors and outdoors being 9 °C when the outdoor temperature was the highest. The difference between the mean radiant temperature and the average air temperature was only 0.04 °C, and the radiant effect of the enclosure on the interior was small. The indoor relative humidity ranged from 63.2% to 85.1%, showing high relative humidity, but the fluctuation was relatively stable. Stilt floors did not play a significant role in climate regulation during the transition season, and the semi-open space structure was more prone to moisture accumulation when the outdoor humidity was high. Regarding practical application, the climate adaptation strategies of shading, cooling, and dehumidification were applied in the transition season, but dehumidification was ineffective.

Governor’s houses: unique Gothenburg workers’ housing

ABSTRACT ‘Governor's houses' were built between 1875 and 1945 as workers’ housing in Gothenburg. Typically, they comprised a ground floor made of brick and two storeys built in wood. They were narrow houses with staircases lit by daylight and the apartments were illuminated from both sides. Though they were cheap to build and popular homes for half of the city's population in the late 1930s, this type of housing was not reproduced anywhere else. The initiative came from a Workers’ Building Association and was supported by Gothenburg town architect Victor Gegerfelt. Around 1900, governor's houses were mainly built by speculative builders, often with poor quality, resulting in low reputation. From 1910 architects started to design them and large builders like the municipal housing companies and cooperative HSB got involved. The same basic typology followed changing ideals in exterior design and town planning from the 1910s to the 1930s. In the 1960s and 1970s, almost half of the stock of governor’s houses was demolished, mainly the older and more central ones. The conclusion raises the counterfactual question of why those houses were not built elsewhere and what would be needed to reintroduce this type of housing.

Housing choice in an evolving remote work landscape

We estimate a joint model of housing choice along several dimensions to account for changing valuations of housing outcomes due to the COVID-19 pandemic. We consider housing outcomes including housing type, tenure type, the presence of a patio or yard, the number of bedrooms, neighborhood population density, median housing cost, accessibility of amenities, school quality, crime rate, and commute distance. Data used for this analysis were collected in October and November of 2021 from 24 metropolitan areas across the United States. A Generalized Heterogeneous Data Model (GHDM) is used to estimate these housing outcomes as a function of exogenous household sociodemographic characteristics and latent lifestyle propensities. The GHDM also captures jointness caused by unobserved factors, allowing for the estimation of accurate causal effects between outcomes. The results reveal that lifestyle preferences have significant impacts on housing outcomes. Specifically, individuals with a preference for teleworking are more likely to reside in single-family homes in highly populated areas, experience longer commute distances, and exhibit a higher sensitivity to the presence of amenities in their neighborhoods. Additionally, the analysis of tradeoffs between housing outcomes reveals the relative valuations of various housing outcomes. An increased commute distance is found to lead to an increase in single-family homes, reductions in density, and an increased crime rate. Choosing an apartment in a high-density neighborhood is found to lead to reductions in school quality and significant increases in crime rates. Implications of the results for land-use planning, travel demand analysis, and equity considerations are identified and discussed.

How the marketing of real estate properties explains mortgage applicants by race and income

In this article, we study how the marketing of single-family homes explains the racial and income makeup of mortgage applicants in a neighborhood. We use a case study of the robust housing market of Charlotte, North Carolina, and annual, longitudinal real estate listing advertisements alongside mortgage lending data, to demonstrate how the share of properties advertised a certain way in a neighborhood in 1 year explains shares of mortgage applicants by race and income the following year. We classify property advertisement text using a semi-supervised learning algorithm into five categories following a housing investment and disinvestment to renewal continuum. We find stark racial disparities in mortgage applicants by housing type, even after controlling for income. We find that Black applicants nearly exclusively apply for mortgages in neighborhoods with a high share of properties advertised as disinvested with little profit-making promise. High-income White applicants rise as the share of advertised properties becomes more homogenous.

The use of restrictive housing with incarcerated persons with mental illness: Variation in placement disparities by restrictive housing type

PurposeConcerns have been raised about mental illness (MI)-linked disparities in restrictive housing (RH) placements, but research has not compared disparities across multiple types of RH. Differences by MI status in prison adjustment or repeated misconduct could create larger disparities for long-term and highly restrictive types of RH; conversely, more stringent procedures governing their use could lead to smaller disparities for those types. MethodsUsing data on six types of RH in a large southern prison system and logistic multivariate multilevel models, we compared the associations of MI with multiple RH types. Mediation models examined whether infractions, violence, and victimization accounted for any associations. ResultsDisparities were present for all examined types of RH. The largest proportional disparities were found for the rarer long-term solitary confinement placements. Although disparities were smaller for short-term types of RH, those affected more people. The mediators appeared to be better explanations of short-term rather than long-term RH placements among persons with MI. ConclusionsRH placement disparities by MI are largest for types that are of long duration and involve severe restrictions on privileges and activities. In addition, the disparities in those RH types may be less accounted for by commonly examined behavioral factors.

Impact of Sanitation on Rodent Pullulation and Plague Status in an Informal Settlement on the Outskirts of Mahajanga (Madagascar)

Plague is a zoonotic disease caused by Yersinia pestis, and it is endemic in Madagascar. The plague cycle involves wild and commensal rodents and their fleas; humans are an accidental host. Madagascar is the country where plague burden is the highest. Plague re-emerged in Mahajanga, the western coast of Madagascar, in the 1990s and infected populations in the popular and insalubrious zones. Sanitation is considered a primary barrier to infection by excluding pathogens from the environment and reservoirs. Poor housing and hygiene and proximity to rodents and fleas in everyday life are major and unchanged risk factors of plague. The aim of this study was to measure the impact of sanitation on Yersinia pestis bacteria in human and small mammal reservoirs and flea vectors. This study was conducted on 282 households within 14 neighborhoods. Two sessions of sampling were conducted in 2013 and 2016. Small mammals were trapped inside and around houses using live traps. Fleas, blood and spleen were sampled to detect Y. pestis infection and antibodies and determine the level of plague circulation before and after the installation of sanitation in order to assess the impact of sanitation improvement on inhabitant health. Two major types of housing can be described, i.e., formal and informal (traditional), scattered in all the suburbs. Among the small mammals captured, 48.5% were Suncus murinus, and 70% of houses were infested. After sanitation, only 30% of houses remained infested, and most of them were located around the market. Fleas were mostly Xenopsylla cheopis. Before and after intervention, the overall prevalence of fleas was the same (index 4.5) across the 14 suburbs. However, the number of houses with fleas drastically decreased, and the flea index increased significantly in rodent-infested houses. Rodent abundance also decreased from 17.4% to 6.1% before and after intervention, respectively. A serology study highlights that plague is still circulating in Mahajanga, suggesting that small mammals maintain enzootic plague transmission in the city.

IOT-Based Smart Door Selector For Double Security: Integration of Rfid and Blynk App for Economical Solution

This research aims to design and develop an Internet of Things (IoT)-based smart door lock system by utilizing Radio Frequency Identification (RFID) technology and the Blynk application. The system is designed to improve the level of home security by providing a variety of flexible access methods, including the use of RFID cards, smartphone apps, and emergency buttons. The prototype method is applied in system development, which involves creating a physical model to evaluate its performance and functionality. The test results showed that the system was operating properly, where RFID only responded to the registered card to unlock, thus increasing access security. Hardware design that is carried out with an economical approach and simple use of components makes this system more affordable compared to commercial smart door lock products on the market. This research shows great potential in increasing efficiency and comfort in managing home security systems and offers ease of implementation in various types of housing. Thus, this research makes a significant contribution to the development of innovative and practical solutions to improve home safety at a lower cost while providing a sense of security for its occupants.

Mapping the distribution of tuberculosis cases and associated factors identified through routine program implementation and community-based active screening in Central Ethiopia.

Smear-positive TB patients greatly contribute to community-level transmission of this disease. Locating hotspots would make it easier to prioritize and target control interventions. This study aimed to assess the spatial distribution of smear-positive index TB cases and their secondary cases and the predictors of clustering of smear-positive TB cases. This study was conducted in the Silti Zone of Central Ethiopia from 2020 to 2022. The data of smear-positive index TB patients were collected from the unit TB registries of healthcare facilities. Contacts of all index TB patients were screened in the community and tested to identify secondary TB patients. We performed spatial analysis, including Moran's I statistic, the Getis-Ord Gi* statistic and geographically weighted regression (GWR), to assess the global distribution, local clustering and predictors of clustering of smear-positive TB patients, respectively. Additionally, we used inverse distance weighting (IDW) interpolation to predict the distribution of smear-positive TB cases and develop a continuous raster map for places with no data. Spatial autocorrelation analysis revealed that the distribution of smear-positive TB patients exhibited significant clustering (Moran's I = 0.70029; p value < 0.000). The Getis-Ord Gi* output indicated the presence of statistically significant hotspots as well as cold spots in the study area. Significant hotspots were found in 11 Kebeles of the Silti, Dalocha and Misrak Silti districts. Significant coldspots were also found in five kebeles of the Silti and Misrak districts. GWR analysis revealed that no education, primary education, family size and thatched roof houses were significant predictors of the spatial clustering of smear-positive TB cases. We also found that the majority of the secondary TB cases were found in hotspots identified through spatial analysis. The study revealed a heterogenous distribution of smear positive TB in the study area and it could act as a model that can be replicated in other regions. The identified hotspots of TB could be targeted through location-based interventions such as systematic active screening in the form of outreach programs to improve the performance of TB prevention and control, including reducing the transmission of TB. Educational status, family size and housing type were some of the factors that significantly influenced the spatial distribution of smear-positive TB in the study area. The distribution of secondary TB cases found through household contact screening coincided with the identified hotspots, indicating greater transmission of the disease in these places.

Examining surplus and shortage in occupied housing preference in Malaysia

Purpose Housing sufficiency is a critical indicator of national development and growth. However, in most countries, housing affordability remains a significant challenge, leading to a mismatch between housing supply and demand. The purpose of this study is to investigate the housing preferences, current occupation and the resulting surplus and shortage across various housing types. Design/methodology/approach Data were collected through a survey, and the analysis focused on quantifying the mismatch between preferred and occupied housing types. Findings Results revealed significant disparities between housing preferences and current occupation, with some housing types experiencing surplus and others facing shortages. The findings uncovered a 23% discrepancy in housing demand and supply. The sensitivity results indicate that 30% of the respondents currently living in a particular type of housing unit would choose to live there if given the option. The specificity results show that 90% of respondents not living in a particular type of housing unit would continue to avoid choosing it. Housing price, income, ethnicity, race and location are the major drivers of the housing preferences. Practical implications Developers can align their projects with consumer preferences to minimize surplus and shortages. Financial institutions may consider these insights when tailoring mortgage products to meet the diverse needs of potential homebuyers. This research provides a valuable foundation for strategic planning and policy formulation aimed at enhancing housing sufficiency and socioeconomic development in Malaysia. Originality/value This study lays the foundation for future research and for incentive mechanisms for homebuyers and developers. The results are useful to policymakers, developers, banks, consultants, housing associations and academics.