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  1. Faheem M, Saeed S, Sajjad A, Wang S, Ali A
    PLoS One, 2019;14(9):e0222635.
    PMID: 31568475 DOI: 10.1371/journal.pone.0222635
    Aphids are major pests of wheat crop in Pakistan inflicting considerable economic losses. A better knowledge of landscape scale spatial distribution of aphids and their natural enemies could be used to improve integrated pest management programs. Therefore, the present study aimed to document spatio-temporal variations in populations of wheat aphids and their natural enemies in Pakistan. The 2-year survey study was carried out at ten experimental farms located in five districts of four contrasted agro-ecological zones of eastern Pakistan (Punjab area) i.e. District Chakwal in arid zone, Gujranwala in rice-cropped zone, Faisalabad in central mixed-cropped zone, and Khanewal and Multan in cotton-cropped zone. The dominant aphid species i.e. Schizaphis graminum, Rhopalosiphum padi, R. maidis and Sitobion avenae varied significantly among the five districts surveyed. The population of S. graminum was observed more abundant in arid, R. padi in rice, S. avenae in aird and rice, and R. maidis in cotton-I zones. Aphids ended their population dynamics on 25th March in central mixed-cropped zone and 12th April in other three zones. Various species of natural enemies, mainly Coccinella septumpunctata, C. undecimpunctata, Menochilus sexmaculata, Chrysoperla carnea, Syrphidae and parasitoid mummies were inconsistently observed in four agro-ecological zones. The population of C. septumpunctata, was observed more abundant in rice zone, C. undecimpunctata and C. carnea in cotton-I and arid zones, M. sexmaculata in cotton-I and II zones, Syrphidae in cotton-I zone and parasitoid mummies in rice and arid zones. There were no clear relationships between aphid and the natural enemy populations. The present study may serve as a baseline regarding distribution of wheat aphids and their natural enemies and the results provided insights for further studies on the potential top-down (natural enemies) versus bottom-up (fertilization and irrigation regimes) forces in management of wheat aphids in eastern Pakistan.
    Matched MeSH terms: Population Dynamics
  2. Mohamad Syamim Hilm, Sofianita Mutalib, Sarifah Radiah Shari, Siti Nur Kamaliah Kamarudin
    ESTEEM Academic Journal, 2020;16(2):31-40.
    MyJurnal
    Electricity is one of the most important resources and fundamental infrastructure for every nation. Its milestone shows a significant contribution to world development that brought forth new technological breakthroughs throughout the centuries. Electricity demand constantly fluctuates, which affects the supply. Suppliers need to generate more electrical energy when demand is high, and less when demand is low. It is a common practice in power markets to have a reserve margin for unexpected fluctuation of demand. This research paper investigates regression techniques: multiple linear regression (MLR) and vector autoregression (VAR) to forecast demand with predictors of economic growth, population growth, and climate change as well as the demand itself. Auto-Regressive Integrated Moving Average (Auto-ARIMA) was used in benchmarking the forecasting. The results from MLR and VAR (lag-values=20) and Auto-ARIMA are monitored for five months from June to October of 2019. Using the root mean square error (RMSE) as an indicator for accuracy, Auto-ARIMA has the lowest RMSE for four months except in June 2019. VAR (lag-values=20) shows good forecasting capabilities for all five months, considering it uses the same lag values (20) for each month. Three different techniques have been successfully examined in order to find the best model for the prediction of the demand.
    Matched MeSH terms: Population Growth
  3. Wong LP, Alias H, Aghamohammadi N, Aghazadeh S, Nik Sulaiman NM
    Biomed Environ Sci, 2018 Jul;31(7):545-550.
    PMID: 30145991 DOI: 10.3967/bes2018.074
    Matched MeSH terms: Urban Population
  4. Fix AG, Baer AS, Lie-Injo LE
    Hum Genet, 1982;61(3):250-3.
    PMID: 7173868 DOI: 10.1007/bf00296452
    Hereditary ovalocytosis/elliptocytosis occurs in polymorphic frequencies among several Malaysian populations and also in Melanesia. Although the condition has been described as an autosomal dominant, Melanesian family studies suggest that it is inherited recessively. Based on 75 Orang Asli families, it is shown that the Malaysian form of elliptocytosis is most likely inherited as an autosomal dominant. It appears, therefore, that either the inference of recessive inheritance in Melanesians is incorrect or that the ovalocytosis/elliptocytosis phenotypes are due to distinct genetic entities in the two regions.
    Matched MeSH terms: Genetics, Population
  5. Sulaiman S, Jeffery J
    J Am Mosq Control Assoc, 1994 Sep;10(3):460-1.
    PMID: 7807097
    Between April 1987 and March 1988, populations of immature Aedes albopictus and Toxorhynchites spp. in bamboo pots were sampled weekly. Populations of Ae. albopictus and rainfall varied from month to month. During the heavy rainfall months of September and October 1987, larval counts of Ae. albopictus were high, between 30.8 and 49.2 larvae per week compared to 16 larvae per week during the low rainfall month of January 1988. A higher population of Toxorhynchites spp. was associated with a low population of the vector.
    Matched MeSH terms: Population Surveillance
  6. Rongnopaurt P, Rodpradit P, Kongsawadworakul P, Sithiprasasna R, Linthicum KJ
    J Am Mosq Control Assoc, 2006 Jun;22(2):192-7.
    PMID: 17014059
    Anopheles (Cellia) maculatus Theobald is a major malaria vector in southern Thailand and peninsular Malaysia, and previous population genetic studies suggested that mountain ranges act as barriers to gene flow. In this study, we examine the genetic variance among 12 collections of natural populations in southern Thailand by analyzing 7 microsatellite loci. Based on analysis of molecular variance (AMOVA), three geographic populations of An. maculatus are suggested. The southern population exists in western Thailand north of 12 degrees north latitude. Mosquitoes to the south fall into two genetic populations: 1) the middle southern collections located on the west side of the Phuket mountain range between 8 degrees and 10 degrees north latitude, and 2) the southern collections located on the east of the Phuket mountain range located between approximately 6.5 degrees and 11.5 degrees north latitude. AMOVA revealed significant genetic differentiation between northern and middle southern and southern populations. The middle southern population was moderately differentiated from the southern population. Furthermore, gene flow was restricted between proximal collections located on different sides of the Phuket mountain range. Collections separated by 50 km exhibited restriction of gene flow when separated by geographic barriers, whereas greater gene flow was evident among collections 650 km apart but without geographic barriers.
    Matched MeSH terms: Genetics, Population
  7. Yap HH, Tan HT, Yahaya AM, Baba R, Chong NL
    J Am Mosq Control Assoc, 1991 Mar;7(1):24-9.
    PMID: 1675256
    Five formulations of Bacillus sphaericus (strain 2362) including aqueous suspension BSP 1, BSP 2, technical powder ABG 6184, corncob granules ABG 6185 (potencies 2 x 10(10), 2 x 10(7), 9.5 x 10(10), 5 x 10(10), 5 x 10(10) spore/g, respectively) and wettable powder ABG 6232 (1,000 BS ITU/mg) were tested against laboratory-cultured late third/early fourth instar larvae of Mansonia uniformis in floating screened cages in small plots at swampy ditches on Penang Island, Malaysia. Mean dosage/response values at 90% mortality levels were 6.93, 95.32, 1.45, 11.92 and 2.86 liters or kg per ha, respectively, for the formulations tested. There were practically no residual effects for the formulations tested with larvae introduced at 48, 96, and 168 h post-treatment. In trials of BSP 1, ABG 6184 and ABG 6185 (1 liter or 1 kg per ha) against immature Mansonia spp. in impounded paddy field ditches, improved efficacy and residual effects were obtained with mean reductions of 93.1, 91.9 and 80.4% at days 3, 7 and 14 posttreatment, respectively.
    Matched MeSH terms: Population Surveillance
  8. Cheah YK, Naidu BM
    Asian Pac J Cancer Prev, 2012;13(4):1125-30.
    PMID: 22799293
    OBJECTIVE: The objective of present study is to investigate the determinants of smoking behaviour among adults in Malaysia.
    METHOD: Findings of the Third National Health and Morbidity Survey (NHMS-3) by the Ministry of Health, Malaysia, were used. The sample consisted of 34,539 observations. A logistic regression model was thus applied to estimate the probability to participate in smoking.
    RESULTS: Age, income, gender, marital status, ethnicity, employment status, residential area, education, lifestyle and health status were statistically significant in affecting the likelihood of smoking. Specifically, youngsters, low income earners, males, unmarried individuals, Malays, employed individuals, rural residents and primary educated individuals were more likely to smoke.
    CONCLUSION: In conclusion, socio-demographic, lifestyle and health factors have significant impacts on smoking participation in Malaysia. Based on these empirical findings, several policy implications are suggested.
    Study name: National Health and Morbidity Survey (NHMS-2006)
    Matched MeSH terms: Rural Population/statistics & numerical data; Urban Population/statistics & numerical data
  9. Swaray S, Y Rafii M, Din Amiruddin M, Firdaus Ismail M, Jamian S, Jalloh M, et al.
    Insects, 2021 Mar 04;12(3).
    PMID: 33806613 DOI: 10.3390/insects12030221
    This study was conducted to assess the Elaeidobius kamerunicus (EK) population density among the biparental dura × pisifera hybrids' palms on deep peat-soil. Twenty-four hybrids derived from 10 genetic sources were used. Variance analysis showed that the EK population density varies between different oil palm hybrids, with a more noticeable variation of a low population mean in the male weevil across the hybrids. The highest weevil population mean/spikelet was attained on the third day of anthesis. The maximum monthly population of EK/spikelet (12.81 ± 0.23) and population density of EK (1846.49 ± 60.69) were recorded in January. Accordingly, 41.67% of the hybrids recorded an EK population density greater than the trial means of 973.68 weevils. Hybrid ECPHP550 had the highest mean of EK/spikelet (10.25 ± 0.11) and the highest population density of EK/palm (1241.39 ± 73.74). The parental mean population was 963.24 weevils and parent Deli-Banting × AVROS recorded the highest EK population density (1173.01). The overall results showed a notable disparity in the EK population among the biparental hybrids. Parental Deli-Banting × AVROS and hybrid ECPHP550 could be more useful to optimize the weevil population for pollination improvements in palm plantations. However, we suggest that volatile production should be included as a desirable trait in oil palm selective breeding.
    Matched MeSH terms: Population Density
  10. Adesipo A, Fadeyi O, Kuca K, Krejcar O, Maresova P, Selamat A, et al.
    Sensors (Basel), 2020 Oct 22;20(21).
    PMID: 33105622 DOI: 10.3390/s20215977
    Attention has shifted to the development of villages in Europe and other parts of the world with the goal of combating rural-urban migration, and moving toward self-sufficiency in rural areas. This situation has birthed the smart village idea. Smart village initiatives such as those of the European Union is motivating global efforts aimed at improving the live and livelihood of rural dwellers. These initiatives are focused on improving agricultural productivity, among other things, since most of the food we eat are grown in rural areas around the world. Nevertheless, a major challenge faced by proponents of the smart village concept is how to provide a framework for the development of the term, so that this development is tailored towards sustainability. The current work examines the level of progress of climate smart agriculture, and tries to borrow from its ideals, to develop a framework for smart village development. Given the advances in technology, agricultural development that encompasses reduction of farming losses, optimization of agricultural processes for increased yield, as well as prevention, monitoring, and early detection of plant and animal diseases, has now embraced varieties of smart sensor technologies. The implication is that the studies and results generated around the concept of climate smart agriculture can be adopted in planning of villages, and transforming them into smart villages. Hence, we argue that for effective development of the smart village framework, smart agricultural techniques must be prioritized, viz-a-viz other developmental practicalities.
    Matched MeSH terms: Population Dynamics
  11. Ghani NA, Shohaimi S, Hee AK, Chee HY, Emmanuel O, Alaba Ajibola LS
    Trop Med Infect Dis, 2019 Feb 15;4(1).
    PMID: 30781369 DOI: 10.3390/tropicalmed4010037
    BACKGROUND: Dengue has affected more than one-third of the world population and Malaysia has recorded an increase in the number of dengue cases since 2012. Selangor state recorded the highest number of dengue cases in Malaysia. Most of the dengue infections occur among people living in hotspot areas of dengue. This study aims to compare Knowledge, Attitude, and Practice among communities living in hotspot and non-hotspot dengue areas.

    METHOD: Communities living in 20 hotspot and 20 non-hotspot areas in Selangor were chosen in this study where 406 participants were randomly selected to answer questionnaires distributed at their housing areas. Total marks of each categories were compared using t-test.

    RESULT: Results show that there were significant mean differences in marks in Knowledge (p value: 0.003; 15.41 vs. 14.55) and Attitude (p value: < 0.001; 11.41 vs. 10.33), but not Practice (p value 0.101; 10.83 vs. 10.47) categories between communities of non-hotspot and hotspot areas. After considering two confounding variables which are education level and household income, different mean marks are found to be significant in Knowledge when education level acts as a covariate and Attitude when both act as covariates.

    CONCLUSION: Overall results show that people living in non-hotspot areas had better knowledge and attitude than people living in hotspot areas, but no difference was found in practice. This suggests that public health education should be done more frequently with people with a low education background and low household income, especially in hotspot areas to fight dengue outbreak and make dengue cases decrease effectively.

    Matched MeSH terms: Population Groups
  12. Nikmat AW, Fadzil MA, Idris S
    Introduction: Little is known about anxiety symptoms among diabetic patients, especially among those who are living in rural areas in Malaysia. Thus, the aim of this paper is to investigate the prevalence of anxiety among diabetic patients and factors associated with anxiety in rural communities in Malaysia.
    Methods: A cross-sectional study involving 464 diabetes mellitus patients in rural health districts and outpatient clinics in Malaysia was conducted. Each participant was interviewed using the Hospital Anxiety and Depression Scale.
    Results: Respondents consisted of 193 (41.6%) males and 271 (58.4%) females. The mean age of participants was 59.65 ± 10.16 years and the mean duration of diabetes mellitus was 6.9 ± 6.3 years. Results indicate that 15% of the participants have anxiety symptoms. Multiple logistic regression analysis revealed that patients with history of ischemic heart disease and depression and those who were underweight have higher anxiety scores with adjusted OR 5.06 (95% CI 1.79 to 14.27), 27.71 (95% CI 14.23 to 53.98) and 14.6 (95% CI 2.49 to 84.82), respectively.
    Conclusions: This study suggests that although the prevalence of anxiety among diabetics is low, primary care physician should be trained to identify high risk patients and to manage their condition in order to improve the clinical outcome.
    Matched MeSH terms: Rural Population
  13. Islam MA, Mamun A, Hossain MM, Bharati P, Saw A, Lestrel PE, et al.
    PLoS One, 2019;14(4):e0215733.
    PMID: 31022237 DOI: 10.1371/journal.pone.0215733
    BACKGROUND: Early initiation of breastfeeding (EIBF) is associated with better health of the mothers and reduced risk of neonatal mortality. The objective of this study was to determine the prevalence of EIBF and associated factors among Bangladeshi mothers.

    METHODS: The data was extracted from the Bangladesh Demographic and Health Survey (BDHS)-2014. A total of 4,092 married non-pregnant Bangladeshi mothers who had at least one child aged 2 years or younger were included in this study. A two-level logistic regression model was used to remove the clustering effect for finding the impact of socio-economic and demographic factors on EIBF.

    RESULTS: The prevalence of EIBF among Bangladeshi mothers was 51.4% (urban: 47.1% and rural: 53.4%). A two -level logistic regression model showed that mothers living in the Sylhet division (p<0.01) and rural environment (p<0.05) were more likely to practice EIBF. Mothers who were obese or overweight (p<0.01), had secondary (p<0.05) or higher education (p<0.01) were less likely to provide early breastfeeding to their newborn babies compared to their counterparts. Those who delivered by caesarian-section (p<0.01) were less likely to perform EIBF while those who attended an antenatal care clinic more than 3 times (p<0.05) were more likely to do so.

    CONCLUSIONS: About half of the Bangladeshi mothers did not start breast-feeding within one hour after birth. This study identified several geographical and socio-demographic factors that were associated with EIBF, and hope that this information will help the government to focus their resources to promote early breastfeeding.

    Matched MeSH terms: Rural Population/statistics & numerical data; Urban Population/statistics & numerical data
  14. Reddy G, Gleibs IH
    Front Psychol, 2019;10:792.
    PMID: 31040805 DOI: 10.3389/fpsyg.2019.00792
    Psychological literature on race has discussed in depth how racial identities are dialogically constructed and context dependent. However, racial identity construction is often not compared across different socio-political contexts. By researching racial identity construction in three different multicultural countries, Malaysia, Singapore, and the United Kingdom, we examined how three racial identities, Chinese, Malay, and Indian, are constructed among Malaysians and Singaporeans in this qualitative study comprised of 10 focus group discussions (N = 39). We applied Dialogical Analysis to the data. This paper shows that both racial ingroups and outgroups constructed all three racial identities, with ingroups constructing their identities more heterogeneously compared to outgroups. Participants also engaged with colonial constructions of the three racial identities. The geographical locations, and therefore their perceptual contexts, of the participants differed. Yet, colonial constructions of race endured in contemporary identity construction and were contested in the group settings. We conclude that the socio-political context as understood by the context of colonialism and post-coloniality influenced their racial identity constructions. Participants, regardless of differences in geographical location, used similar colonial constructions of Malay, Chinese, and Indian identities to position themselves as well as Others in their group interactions. These findings show that there is value in conceptualising the context beyond that which individuals are immediately presented with, and that psychologists should consider the inclusion of cultural legacies of colonialism in their conceptualisation of the present context.
    Matched MeSH terms: Continental Population Groups
  15. Nor Atirah Izzah Zulkefli, Yeak Su Hoe, Normah Maan
    MATEMATIKA, 2019;35(2):249-259.
    MyJurnal
    In this paper, extended Runge-Kutta fourth order method for directly solving the fuzzy logistic problem is presented. The extended Runge-Kutta method has lower number of function evaluations, compared with the classical Runge-Kutta method. The numerical robustness of the method in parameter estimation is enhanced via error minimization in predicting growth rate and carrying capacity. The results of fuzzy logistic model with the estimated parameters have been compared with population growth data in Malaysia, which indicate that this method is more accurate that the data population. Numerical example is given to illustrate the efficiency of the proposed model. It is concluded that robust parameter estimation technique is efficient in modelling population growth.
    Matched MeSH terms: Population Growth
  16. Liu J, Niu YF, Ni SB, Liu ZY, Zheng C, Shi C
    Mitochondrial DNA B Resour, 2017 Dec 12;3(1):13-14.
    PMID: 33474051 DOI: 10.1080/23802359.2017.1413317
    The Artocarpus heterophyllus, native to Western Ghats of India, Malaysia and south-eastern Asia, is a tree member of the mulberry family (Moraceae). Chloroplast genome sequences play a significant role in the development of molecular markers in plant phylogenetic and population genetic studies. In this study, we report the complete chloroplast genome sequence of A. heterophyllus for the first time. The chloroplast genome is 160,387 bp long and includes 113 genes. Its LSC, SSC and IR regions are 88,422, 18,869 and 26,548 bp long, respectively. Phylogenetic tree analysis exhibited that A. heterophyllus was clustered with other Moraceae species with high bootstrap values.
    Matched MeSH terms: Genetics, Population
  17. Legido-Quigley H, Leh Hoon Chuah F, Howard N
    PLoS Med, 2020 11;17(11):e1003143.
    PMID: 33170834 DOI: 10.1371/journal.pmed.1003143
    BACKGROUND: Southeast Asian countries host signficant numbers of forcibly displaced people. This study was conducted to examine how health systems in Southeast Asia have responded to the health system challenges of forced migration and refugee-related health including the health needs of populations affected by forced displacement; the health systems-level barriers and facilitators in addressing these needs; and the implications of existing health policies relating to forcibly displaced and refugee populations. This study aims to fill in the gap in knowledge by analysing how health systems are organised in Southeast Asia to address the health needs of forcibly displaced people.

    METHODS AND FINDINGS: We conducted 30 semistructured interviews with health policy-makers, health service providers, and other experts working in the United Nations (n = 6), ministries and public health (n = 5), international (n = 9) and national civil society (n = 7), and academia (n = 3) based in Indonesia (n = 6), Malaysia (n = 10), Myanmar (n = 6), and Thailand (n = 8). Data were analysed thematically using deductive and inductive coding. Interviewees described the cumulative nature of health risks at each migratory phase. Perceived barriers to addressing migrants' cumulative health needs were primarily financial, juridico-political, and sociocultural, whereas key facilitators were many health workers' humanitarian stance and positive national commitment to pursuing universal health coverage (UHC). Across all countries, financial constraints were identified as the main challenges in addressing the comprehensive health needs of refugees and asylum seekers. Participants recommended regional and multisectoral approaches led by national governments, recognising refugee and asylum-seeker contributions, and promoting inclusion and livelihoods. Main study limitations included that we were not able to include migrant voices or those professionals not already interested in migrants.

    CONCLUSIONS: To our knowledge, this is one of the first qualitative studies to investigate the health concerns and barriers to access among migrants experiencing forced displacement, particularly refugees and asylum seekers, in Southeast Asia. Findings provide practical new insights with implications for informing policy and practice. Overall, sociopolitical inclusion of forcibly displaced populations remains difficult in these four countries despite their significant contributions to host-country economies.

    Matched MeSH terms: Population Dynamics
  18. Forcina G, Camacho-Sanchez M, Tuh FYY, Moreno S, Leonard JA
    Heliyon, 2021 Jan;7(1):e05583.
    PMID: 33437884 DOI: 10.1016/j.heliyon.2020.e05583
    Background and aims: Wildlife conservation has focused primarily on species for the last decades. Recently, popular perception and laws have begun to recognize the central importance of genetic diversity in the conservation of biodiversity. How to incorporate genetic diversity in ongoing monitoring and management of wildlife is still an open question.

    Methods: We tested a panel of multiplexed, high-throughput sequenced introns in the small mammal communities of two UNESCO World Heritage Sites on different continents to assess their viability for large-scale monitoring of genetic variability in a spectrum of diverse species. To enhance applicability across other systems, the bioinformatic pipeline for primer design was outlined.

    Results: The number of loci amplified and amplification evenness decreased as phylogenetic distance increased from the reference taxa, yet several loci were still variable across multiple mammal orders.

    Conclusions: Genetic variability found is informative for population genetic analyses and for addressing phylogeographic and phylogenetic questions, illustrated by small mammal examples here.

    Matched MeSH terms: Genetics, Population
  19. Ashkani S, Rafii MY, Shabanimofrad M, Miah G, Sahebi M, Azizi P, et al.
    Front Plant Sci, 2015;6:886.
    PMID: 26635817 DOI: 10.3389/fpls.2015.00886
    Rice is a staple and most important security food crop consumed by almost half of the world's population. More rice production is needed due to the rapid population growth in the world. Rice blast caused by the fungus, Magnaporthe oryzae is one of the most destructive diseases of this crop in different part of the world. Breakdown of blast resistance is the major cause of yield instability in several rice growing areas. There is a need to develop strategies providing long-lasting disease resistance against a broad spectrum of pathogens, giving protection for a long time over a broad geographic area, promising for sustainable rice production in the future. So far, molecular breeding approaches involving DNA markers, such as QTL mapping, marker-aided selection, gene pyramiding, allele mining and genetic transformation have been used to develop new resistant rice cultivars. Such techniques now are used as a low-cost, high-throughput alternative to conventional methods allowing rapid introgression of disease resistance genes into susceptible varieties as well as the incorporation of multiple genes into individual lines for more durable blast resistance. The paper briefly reviewed the progress of studies on this aspect to provide the interest information for rice disease resistance breeding. This review includes examples of how advanced molecular method have been used in breeding programs for improving blast resistance. New information and knowledge gained from previous research on the recent strategy and challenges towards improvement of blast disease such as pyramiding disease resistance gene for creating new rice varieties with high resistance against multiple diseases will undoubtedly provide new insights into the rice disease control.
    Matched MeSH terms: Population Growth
  20. Niu YF, Ni SB, Liu ZY, Zheng C, Mao CL, Shi C, et al.
    Mitochondrial DNA B Resour, 2018 Apr 03;3(1):440-441.
    PMID: 33490512 DOI: 10.1080/23802359.2018.1457995
    The Lucuma nervosa, native to Western Ghats of India, Malaysia and south-eastern Asia, is a tree member of the mulberry family (Sapotaceae). Chloroplast genome sequences play an significant role in the development of molecular markers in plant phylogenetic and population genetic studies. In this study, we report the complete chloroplast genome sequence of L. nervosa for the first time. The chloroplast genome is 157,920 bp long and includes 113 genes. Its LSC, SSC, and IR regions are 88,123, 18,861, and 25,468 bp long, respectively. Phylogenetic tree analysis exhibited that L. nervosa was clustered with other Sapotaceae species with high bootstrap values.
    Matched MeSH terms: Genetics, Population
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