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  1. Article ; Online: Hydroxychloroquine as prophylaxis or treatment for COVID-19

    Praveen Balabaskaran Nina / Aditya Prasad Dash

    Indian Journal of Public Health, Vol 64, Iss 6, Pp 125-

    What does the evidence say?

    2020  Volume 127

    Abstract: Hydroxychloroquine (HCQ), an antimalarial has been proposed as possible treatment for coronavirus disease-2019 (COVID-19). India has approved the use of HCQ for prophylaxis of asymptomatic health workers treating suspected or confirmed COVID-19 cases, ... ...

    Abstract Hydroxychloroquine (HCQ), an antimalarial has been proposed as possible treatment for coronavirus disease-2019 (COVID-19). India has approved the use of HCQ for prophylaxis of asymptomatic health workers treating suspected or confirmed COVID-19 cases, and asymptomatic household contacts of confirmed patients. The U.S. Food and Drug Administration has issued Emergency Use Authorization for the use of HCQ to treat COVID-19 in adolescents and adults. In this review, we go over the available evidence for and against HCQ's use as prophylaxis or treatment for COVID-19, especially in the Indian context.
    Keywords chloroquine ; covid-19 ; hydroxychloroquine ; prophylaxis ; Public aspects of medicine ; RA1-1270 ; covid19
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Epidemiology, Hot Spots, and Sociodemographic Risk Factors of Alcohol Consumption in Indian Men and Women

    Karuppusamy Balasubramani / Winnie Paulson / Savitha Chellappan / Ramakrishnan Ramachandran / Sujit Kumar Behera / Praveen Balabaskaran Nina

    Frontiers in Public Health, Vol

    Analysis of National Family Health Survey-4 (2015-16), a Nationally Representative Cross-Sectional Study

    2021  Volume 9

    Abstract: Objectives: To map the alcohol hot spots and understand the Sociodemographic Indices (SDI) affecting alcohol consumption in Indian men and women.Methods: Data from National Family Health Survey-4 carried out from 2015 to 2016 with a sample size of 103, ... ...

    Abstract Objectives: To map the alcohol hot spots and understand the Sociodemographic Indices (SDI) affecting alcohol consumption in Indian men and women.Methods: Data from National Family Health Survey-4 carried out from 2015 to 2016 with a sample size of 103,411 men and 699,686 women were used for Geographic Information System mapping, and hot spot identification by spatial statistics (Getis-Ord Gi*). Bivariate analyses and multiple logistic regressions were used to analyze SDI.Results: India has three major alcohol hot spots: (1) North-East (NE) states, (2) Eastern Peninsular states formed by Chhattisgarh, Odisha, Jharkhand, and Telangana, and (3) Southern states of Tamil Nadu and Kerala. Hot spot analysis strongly correlated with region-wise analysis of SDI. Respondents who consumed tobacco have higher odds (men adjusted odds ratio [aOR]: 5.42; women aOR: 4.30) of consuming alcohol. Except for religion and social category, other socioeconomic factors have a low to moderate effect on alcohol consumption.Conclusions: Hot spots and high-risk districts of alcohol consumption identified in this study can guide public health policies for targeted intervention. Alcohol use is at the discretion of individual states and union territories, and stringent anti-alcohol policies strictly enforced across India are the keys to control alcohol use.
    Keywords alcohol consumption in India ; spatial statistics ; Getis-Ord Gi* ; alcohol hot spots in India ; NFHS-4 ; Public aspects of medicine ; RA1-1270
    Subject code 310
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Effect of climate change and deforestation on vector borne diseases in the North-Eastern Indian State of Mizoram bordering Myanmar

    Balasubramani Karuppusamy / Devojit Kumar Sarma / Pachuau Lalmalsawma / Lalfakzuala Pautu / Krishanpal Karmodiya / Praveen Balabaskaran Nina

    The Journal of Climate Change and Health, Vol 2, Iss , Pp 100015- (2021)

    2021  

    Abstract: Malaria and dengue are the two major vector-borne diseases in Mizoram. Malaria is endemic in Mizoram, and dengue was first reported only in 2012. The study was designed to study the impact of climate variables, and deforestation on the incidence of ... ...

    Abstract Malaria and dengue are the two major vector-borne diseases in Mizoram. Malaria is endemic in Mizoram, and dengue was first reported only in 2012. The study was designed to study the impact of climate variables, and deforestation on the incidence of dengue and malaria in Mizoram. Temperature, rainfall, and humidity data of Mizoram in the monsoon period (May-September) from 1979 to 2013 were obtained from the National Centers for Environmental Prediction Climate Forecast System Reanalysis. Forest cover data were extracted from the Forests Survey of India Reports and satellite products of Advanced Very High Resolution Radiometer and Moderate Resolution Imaging Spectroradiometer missions. Vector-borne diseases data were obtained from the State Vector Borne Disease Control Program. Non-parametric tests (Mann-Kendall test and Sen's slope method) were used to estimate the long-term trends in the climate and forest cover variables. The Mann-Kendall test indicates that the minimum temperature during the monsoon period is increasing (p<0.001). The Sen's slope estimate shows an average annual 0.02 °C (0.01–0.03 at 95% CI) increase in minimum temperature, and there is an annual ~0.1 °C increase after 2007. There is a 20.45 mm increase in annual monsoon rainfall (5.90–34.37 at 95% CI), and a 0.08% (0.02–0.18 at 95% CI) increase in relative annual humidity. Forest cover data shows that there is an annual average decrease of 162 sq.km (272.81–37.53 at 95% CI, p<0.001) in the dense forest cover. Malaria transmission continues to be stable in Mizoram; compared to 2007, cases have increased in 2019. Over the study period, in the monsoon season, there was an ~0.8 °C rise in the minimum temperature, which could have facilitated the establishment of Aedes aegypti in Mizoram. Furthermore, the increase in rainfall and humidity may have also helped the biology of Ae. aegypti. Deforestation could be an important factor responsible for the consistently high number of malaria cases in Mizoram.
    Keywords Climate change ; Deforestation ; Dengue ; Malaria ; Mizoram ; Public aspects of medicine ; RA1-1270 ; Meteorology. Climatology ; QC851-999
    Subject code 333
    Language English
    Publishing date 2021-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Social and housing indicators of dengue and chikungunya in Indian adults aged 45 and above

    Winnie Paulson / Naveen Kumar Kodali / Karuppusamy Balasubramani / Rashi Dixit / Savitha Chellappan / Sujit Kumar Behera / Praveen Balabaskaran Nina

    Archives of Public Health, Vol 80, Iss 1, Pp 1-

    Analysis of a nationally representative survey (2017-18)

    2022  Volume 12

    Abstract: Abstract Background Dengue and chikungunya (CHIKV) are the two major vector-borne diseases of serious public health concern in India. Studies on socioeconomic and housing determinants of dengue and CHIKV at a pan-India level are lacking. Here, we took ... ...

    Abstract Abstract Background Dengue and chikungunya (CHIKV) are the two major vector-borne diseases of serious public health concern in India. Studies on socioeconomic and housing determinants of dengue and CHIKV at a pan-India level are lacking. Here, we took advantage of the recently carried out Longitudinal Ageing Study in India (LASI) carried out across all the states and Union Territories of India to study the social indicators of dengue and CHIKV in India. Methods LASI-1 (2017-2018) data on the self-reported period prevalence of dengue and CHIKV from 70,932 respondents aged ≥45 years were used for this analysis. The state-wise distribution of dengue and CHIKV was mapped. Prevalence was estimated for each study variable, and the difference was compared using the χ2 test. The adjusted odds ratios (AOR) of the socioeconomic and housing variables for dengue and CHIKV were estimated using the multiple logistic regression model. Results Urban residence is the major socio-economic indicator of dengue and CHIKV (dengue AOR: 1.57, 95% CI: 1.18-2.11; CHIKV AOR: 1.84, 95% CI: 1.36-2.49). The other notable indicator is wealth; rich respondents have higher odds of dengue and CHIKV. Adults older than 54 years and those with high school education and above are associated with a lower likelihood of dengue and CHIKV. In addition, CHIKV is associated with scheduled and forward castes, households with improper toilet facilities, open defecation, and kutcha house type. Conclusions Despite the limitation that the data is only from adults ≥ 45, this analysis provides important insights into the socioeconomic and housing variables associated with higher odds of dengue and CHIKV in India. Understanding these determinants may assist in the national planning of prevention and control strategies for dengue and CHIKV.
    Keywords LASI ; Social determinants of dengue ; Social determinants of chikungunya ; Risk factors of dengue and chikungunya ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Spatio-temporal epidemiology and associated indicators of COVID-19 (wave-I and II) in India

    Karuppusamy Balasubramani / Venkatesh Ravichandran / Kumar Arun Prasad / Mu. Ramkumar / Sulochana Shekhar / Meenu Mariya James / Naveen Kumar Kodali / Sujit Kumar Behera / Natarajan Gopalan / Rakesh Kumar Sharma / Devojit Kumar Sarma / M. Santosh / Aditya Prasad Dash / Praveen Balabaskaran Nina

    Scientific Reports, Vol 14, Iss 1, Pp 1-

    2024  Volume 12

    Abstract: Abstract The spatio-temporal distribution of COVID-19 across India’s states and union territories is not uniform, and the reasons for the heterogeneous spread are unclear. Identifying the space–time trends and underlying indicators influencing COVID-19 ... ...

    Abstract Abstract The spatio-temporal distribution of COVID-19 across India’s states and union territories is not uniform, and the reasons for the heterogeneous spread are unclear. Identifying the space–time trends and underlying indicators influencing COVID-19 epidemiology at micro-administrative units (districts) will help guide public health strategies. The district-wise daily COVID-19 data of cases and deaths from February 2020 to August 2021 (COVID-19 waves-I and II) for the entire country were downloaded and curated from public databases. The COVID-19 data normalized with the projected population (2020) and used for space–time trend analysis shows the states/districts in southern India are the worst hit. Coastal districts and districts adjoining large urban regions of Mumbai, Chennai, Bengaluru, Goa, and New Delhi experienced > 50,001 cases per million population. Negative binomial regression analysis with 21 independent variables (identified through multicollinearity analysis, with VIF < 10) covering demography, socio-economic status, environment, and health was carried out for wave-I, wave-II, and total (wave-I and wave-II) cases and deaths. It shows wealth index, derived from household amenities datasets, has a high positive risk ratio (RR) with COVID-19 cases (RR: 3.577; 95% CI: 2.062–6.205) and deaths (RR: 2.477; 95% CI: 1.361–4.506) across the districts. Furthermore, socio-economic factors such as literacy rate, health services, other workers’ rate, alcohol use in men, tobacco use in women, overweight/obese women, and rainfall have a positive RR and are significantly associated with COVID-19 cases/deaths at the district level. These positively associated variables are highly interconnected in COVID-19 hotspot districts. Among these, the wealth index, literacy rate, and health services, the key indices of socio-economic development within a state, are some of the significant indicators associated with COVID-19 epidemiology in India. The identification of district-level space–time trends and indicators ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 360
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Epidemiology of scrub typhus and other rickettsial infections (2018-22) in the hyper-endemic setting of Mizoram, North-East India.

    Vanramliana / Lalfakzuala Pautu / Pachuau Lalmalsawma / Gabriel Rosangkima / Devojit Kumar Sarma / Hunropuia Chinzah / Yogesh Malvi / Naveen Kumar Kodali / Christiana Amarthaluri / Karuppusamy Balasubramani / Praveen Balabaskaran Nina

    PLoS Neglected Tropical Diseases, Vol 17, Iss 11, p e

    2023  Volume 0011688

    Abstract: Background In the past decade, scrub typhus cases have been reported across India, even in regions that had no previous history of the disease. In the North-East Indian state of Mizoram, scrub typhus cases were first recorded only in 2012. However, in ... ...

    Abstract Background In the past decade, scrub typhus cases have been reported across India, even in regions that had no previous history of the disease. In the North-East Indian state of Mizoram, scrub typhus cases were first recorded only in 2012. However, in the last five years, the state has seen a substantial increase in the scrub typhus and other rickettsial infections. As part of the public health response, the Mizoram Government has integrated screening and line listing of scrub typhus and other rickettsial infections across all its health settings, a first in India. Here we detail the epidemiology of scrub typhus and other rickettsial infections from 2018-2022, systematically recorded across the state of Mizoram. Methodology/principal findings The line-listed data positive for scrub typhus and other rickettsial infections identified by rapid immunochromatographic test and/or Weil-Felix test from 2018-22 was used for the analysis. During this period, 22,914 cases of rickettsial infections were recorded, out of which 19,651 were scrub typhus cases. Aizawl is the worst affected, with 10,580 cases (46.17%). The average incidence of rickettsial infections is 3.54 cases per 1000 persons-year, and the case fatality rate is 0.35. Only ∼2% of the reported scrub typhus cases had eschar. Multivariate logistic regression analysis indicate patients with eschar (aOR = 2.5, p<0.05), occupational workers [farmers (aOR:3.9), businessmen (aOR:1.8), construction workers (aOR:17.9); p<0.05], and children (≤10 years) (aOR = 5.4, p<0.05) have higher odds of death due to rickettsial infections. Conclusion The integration of systematic surveillance and recording of rickettsial diseases across Mizoram has shed important insights into their prevalence, morbidity, and mortality. This study underscores the importance of active surveillance of rickettsial infections across India, as the burden could be substantially higher, and is probably going undetected.
    Keywords Arctic medicine. Tropical medicine ; RC955-962 ; Public aspects of medicine ; RA1-1270
    Subject code 950
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Socio-economic and household determinants of malaria in adults aged 45 and above

    Indumathi Mohan / Naveen Kumar Kodali / Savitha Chellappan / Balasubramani Karuppusamy / Sujit Kumar Behera / Gopalan Natarajan / Praveen Balabaskaran Nina

    Malaria Journal, Vol 20, Iss 1, Pp 1-

    analysis of longitudinal ageing survey in India, 2017–2018

    2021  Volume 9

    Abstract: Abstract Background Even though malaria cases have drastically come down in the last decade, malaria remains a serious public health concern in many parts of India. National Framework for Malaria Elimination in India (2016–2030) has been launched with ... ...

    Abstract Abstract Background Even though malaria cases have drastically come down in the last decade, malaria remains a serious public health concern in many parts of India. National Framework for Malaria Elimination in India (2016–2030) has been launched with the goal to eliminate malaria by 2030. Understanding the socio-economic and household determinants of malaria at the national level will greatly aid India’s malaria elimination efforts. Methods The data from Longitudinal Ageing Survey of India (LASI) Wave 1 (2017–2018) survey comprising 70,671 respondents ≥ 45 years across all the States and Union Territories were used for the analysis. Simple and multiple logistic regressions were used to obtain the unadjusted and adjusted odds ratio respectively of the socio-economic and household variables. Results The major socio-economic variables that increase the likelihood of malaria are caste (‘scheduled tribes’), low education levels and rural residence. The scheduled tribes have 1.8 times higher odds of malaria than the scheduled castes (AOR: 1.8; 95% CI: 1.5–2.1). Respondents with high school education (6–12 grade) (AOR: 0.7; 95% CI: 0.6–0.8) and college education (AOR: 0.5; 95% CI: 0.4–0.6) had a very low risk of malaria than those with no school years. Rural residence and occupation (agriculture and allied jobs) also increases the odds of malaria. The major housing determinants are household size (≥ 6), housing type (kutcha), use of unclean fuel, outside water source, improper sanitation (toilet facilities) and damp wall/ceiling. Conclusions The study has identified the major socio-economic and housing factors associated with malaria in adults aged 45 and above. In addition to vector and parasite control strategies in the tribal dominated regions of India, improving literacy and housing conditions may help India’s malaria elimination efforts.
    Keywords LASI ; Socio-economic determinants of malaria ; Household determinants of malaria ; Schedule tribe and malaria ; Unclean cooking fuel and malaria ; Arctic medicine. Tropical medicine ; RC955-962 ; Infectious and parasitic diseases ; RC109-216
    Subject code 950
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Spatial epidemiology of acute respiratory infections in children under 5 years and associated risk factors in India

    Karuppusamy Balasubramani / Kumar Arun Prasad / Naveen Kumar Kodali / Nishadh Kalladath Abdul Rasheed / Savitha Chellappan / Devojit Kumar Sarma / Manoj Kumar / Rashi Dixit / Meenu Mariya James / Sujit Kumar Behera / Sulochana Shekhar / Praveen Balabaskaran Nina

    Frontiers in Public Health, Vol

    District-level analysis of health, household, and environmental datasets

    2022  Volume 10

    Abstract: BackgroundIn India, acute respiratory infections (ARIs) are a leading cause of mortality in children under 5 years. Mapping the hotspots of ARIs and the associated risk factors can help understand their association at the district level across India ... ...

    Abstract BackgroundIn India, acute respiratory infections (ARIs) are a leading cause of mortality in children under 5 years. Mapping the hotspots of ARIs and the associated risk factors can help understand their association at the district level across India.MethodsData on ARIs in children under 5 years and household variables (unclean fuel, improved sanitation, mean maternal BMI, mean household size, mean number of children, median months of breastfeeding the children, percentage of poor households, diarrhea in children, low birth weight, tobacco use, and immunization status of children) were obtained from the National Family Health Survey-4. Surface and ground-monitored PM2.5 and PM10 datasets were collected from the Global Estimates and National Ambient Air Quality Monitoring Programme. Population density and illiteracy data were extracted from the Census of India. The geographic information system was used for mapping, and ARI hotspots were identified using the Getis-Ord Gi* spatial statistic. The quasi-Poisson regression model was used to estimate the association between ARI and household, children, maternal, environmental, and demographic factors.ResultsAcute respiratory infections hotspots were predominantly seen in the north Indian states/UTs of Uttar Pradesh, Bihar, Delhi, Haryana, Punjab, and Chandigarh, and also in the border districts of Uttarakhand, Himachal Pradesh, and Jammu and Kashmir. There is a substantial overlap among PM2.5, PM10, population density, tobacco smoking, and unclean fuel use with hotspots of ARI. The quasi-Poisson regression analysis showed that PM2.5, illiteracy levels, diarrhea in children, and maternal body mass index were associated with ARI.ConclusionTo decrease ARI in children, urgent interventions are required to reduce the levels of PM2.5 and PM10 (major environmental pollutants) in the hotspot districts. Furthermore, improving sanitation, literacy levels, using clean cooking fuel, and curbing indoor smoking may minimize the risk of ARI in children.
    Keywords ARI ; PM2.5 and PM10 ; unclean cooking fuel ; Getis-Ord Gi* spatial statistic ; NFHS-4 ; Public aspects of medicine ; RA1-1270
    Subject code 333
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Seroprevalence and risk factors of brucellosis in livestock in the wildlife and livestock interface area of Similipal Biosphere Reserve, India

    Sujit Kumar Behera / Deepanker Das / K. Balasubramani / Savitha Chellappan / Kaushik Rajaram / Himanshu Kumar Mohanta / Praveen Balabaskaran Nina

    Veterinary World, Vol 13, Iss 3, Pp 465-

    2020  Volume 470

    Abstract: Background and Aim: Brucellosis is an important zoonotic disease that affects fertility in farm animals. The risk factors of brucellosis have not been well studied. This study aimed to understand the seroprevalence and risk factors of brucellosis among ... ...

    Abstract Background and Aim: Brucellosis is an important zoonotic disease that affects fertility in farm animals. The risk factors of brucellosis have not been well studied. This study aimed to understand the seroprevalence and risk factors of brucellosis among livestock in Bangriposi block of Mayurbhanj district in Odisha, a region that borders Similipal wildlife reserve. Materials and Methods: Rose Bengal plate test (RBPT) was carried out to estimate the seroprevalence of the livestock in this region. Bivariate analysis was carried out to analyze the association between the variables and brucellosis. Binary logistic regression was performed to assess the risk factors associated with brucellosis in the livestock. Results: Based on RBPT, the seroprevalence of brucellosis among cattle and goats was estimated to be 1.1% and 11.2%, respectively. Binary logistic regression analysis indicates that study area, age, goats, animals with a history of abortion, and rearing practices were the major risk factors in this region. Conclusion: This is one of the first studies in India to shed light on risk factors of brucellosis, an important neglected disease that affects the health of animals and humans and nation's economy.
    Keywords binary logistic regression analysis ; bivariate analysis ; brucellosis ; rose bengal plate test ; seroprevalence ; Animal culture ; SF1-1100 ; Veterinary medicine ; SF600-1100
    Language English
    Publishing date 2020-03-01T00:00:00Z
    Publisher Veterinary World
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Epidemiology of malaria and chloroquine resistance in Mizoram, northeastern India, a malaria-endemic region bordering Myanmar

    Rita Zomuanpuii / Christopher L. Hmar / Khawlhring Lallawmzuala / Lal Hlimpuia / Praveen Balabaskaran Nina / Nachimuthu Senthil Kumar

    Malaria Journal, Vol 19, Iss 1, Pp 1-

    2020  Volume 11

    Abstract: Abstract Background Mizoram, a northeastern state in India, shares international borders with Myanmar and Bangladesh and is considered to be one of the key routes through which drug-resistant parasites of Southeast Asia enter mainland India. Despite its ... ...

    Abstract Abstract Background Mizoram, a northeastern state in India, shares international borders with Myanmar and Bangladesh and is considered to be one of the key routes through which drug-resistant parasites of Southeast Asia enter mainland India. Despite its strategic location and importance, malaria epidemiology and molecular status of chloroquine resistance had not been well documented, and since chloroquine (CQ), as the first-line treatment in Plasmodium falciparum infection was discontinued since 2008, it was expected that CQ-sensitive haplotype would be more abundant. Methods Malaria epidemiology data for the period 2010 to 2018 was collected from the office of State Vector Disease Control Programme. Plasmodium falciparum-positive blood samples were collected from government district hospitals, community health centres, primary health centres, sub-centres, and diagnostic centres from six malaria-prone districts. The samples were processed and analysed using genes–P. falciparum chloroquine-resistant transporter (pfcrt) and P. falciparum multidrug resistance 1 (pfmdr1) via sequencing of PCR amplicon from 2015 to 2017. Results Malaria occurred throughout the year and P. falciparum accounted for > 89% of total malaria cases. During 2010–2018, the highest number of malaria incidence was recorded in Lawngtlai (36% of total malaria cases; average API2010–2018 of 34.8) while Champhai remained consistently low (0.4%; average API2010–2018 of 0.04). Males of ≥ 15 years old contributed maximum (35.7%) among gender and age malarial distribution recorded during 2014–2018. Death due to malaria gradually decreased over the years. A higher abundance of mutated pfcrt (58.5% of the total sample analysed) and a lower prevalence of mutated pfmdr1 (48.7%) were observed. All mutations identified for pfcrt belong to the Southeast Asian CVIET haplotype. Only a single point mutation was observed at 86 (N → Y) position in pfmdr1 (48.7%). The key N86Y mutation in pfmdr1 that had been shown to modulate CQR was found in 67.1% of the ...
    Keywords Mizoram ; Plasmodium falciparum ; Chloroquine resistance ; pfcrt ; pfmdr1 ; Arctic medicine. Tropical medicine ; RC955-962 ; Infectious and parasitic diseases ; RC109-216
    Subject code 572
    Language English
    Publishing date 2020-02-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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