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<p>India is the largest contributor of incidence of malaria cases and related deaths in Southeast Asian region. Recent annual data (2017-2020) for malaria revealed that Mizoram, along with Tripura and Meghalaya, bears a disproportionately high malaria burden in North-East India, characterized by high Total Malaria Cases (TMC), consistently elevated Plasmodium falciparum (Pf) prevalence, and the high transmission intensity in terms of Annual Parasite Index (API) in the region. The state of Mizoram is one of the significant contributors of Malaria cases in India with highest API among the Northeastern Indian states. The present study focuses on the transition of malaria cases in the districts of Mizoram between 2011 to 2020. The data for various indicators including Total Malaria Cases (TMC), Percent of P. falciparum (% Pf), Annual Parasite Index (API), Total positivity Rate (TPR), Annual Blood Examination Rate (ABER), and Malarial Deaths were extracted and processed for analysis. Different statistical methods like Descriptive statistics, Correlation analysis and One-Way Analysis of Variance (ANOVA) were applied to understand the disease epidemiology in Mizoram. Results revealed that Lawngtlai, Lunglei and Mamit districts were among the top three districts with the average number of malaria cases while Champhai recorded the lowest cases of malaria. However, Mamit recorded the highest number of malaria related deaths. Age group wise analysis showed that malaria prevalence was highest among person with 15 or more years of age, and lowest among 0–4 years age group. The malarial incidences were highest in the year 2015 for different age groups and sex. Correlation analysis showed a significant correlation between TMC vs. API, TMC vs. TPR, API vs. TPR in Lawngtlai district. District wise analysis of Malaria cases showed statistically significant difference (<i>p</i> &lt; 0.01) between Lawngtlai and Mamit, Lawngtlai and Saiha, Lawngtlai and Serchhip respectively. Findings from this study would help in policy interventions and framework. State Vector Borne Diseases Control Programme (Malaria) Mizoram should increase intensified surveillance and monitoring of malaria cases, targeted vector control interventions, improved access to malaria diagnosis and treatments, community-based education and awareness programs.</p>

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Temporal dynamics of malaria in Mizoram: a district wise analysis

  • 期刊论文

  • 发表日期：

    2026年3月19日

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  • Mukesh Ranjan,
  • Sana Rafi,
  • Mahendra Singh,
  • Ashutosh Singh,
  • Lalpawimawha,
  • R. Zoramthanga,
  • Vanlalhriatsaka

摘要

India is the largest contributor of incidence of malaria cases and related deaths in Southeast Asian region. Recent annual data (2017-2020) for malaria revealed that Mizoram, along with Tripura and Meghalaya, bears a disproportionately high malaria burden in North-East India, characterized by high Total Malaria Cases (TMC), consistently elevated Plasmodium falciparum (Pf) prevalence, and the high transmission intensity in terms of Annual Parasite Index (API) in the region. The state of Mizoram is one of the significant contributors of Malaria cases in India with highest API among the Northeastern Indian states. The present study focuses on the transition of malaria cases in the districts of Mizoram between 2011 to 2020. The data for various indicators including Total Malaria Cases (TMC), Percent of P. falciparum (% Pf), Annual Parasite Index (API), Total positivity Rate (TPR), Annual Blood Examination Rate (ABER), and Malarial Deaths were extracted and processed for analysis. Different statistical methods like Descriptive statistics, Correlation analysis and One-Way Analysis of Variance (ANOVA) were applied to understand the disease epidemiology in Mizoram. Results revealed that Lawngtlai, Lunglei and Mamit districts were among the top three districts with the average number of malaria cases while Champhai recorded the lowest cases of malaria. However, Mamit recorded the highest number of malaria related deaths. Age group wise analysis showed that malaria prevalence was highest among person with 15 or more years of age, and lowest among 0–4 years age group. The malarial incidences were highest in the year 2015 for different age groups and sex. Correlation analysis showed a significant correlation between TMC vs. API, TMC vs. TPR, API vs. TPR in Lawngtlai district. District wise analysis of Malaria cases showed statistically significant difference (p < 0.01) between Lawngtlai and Mamit, Lawngtlai and Saiha, Lawngtlai and Serchhip respectively. Findings from this study would help in policy interventions and framework. State Vector Borne Diseases Control Programme (Malaria) Mizoram should increase intensified surveillance and monitoring of malaria cases, targeted vector control interventions, improved access to malaria diagnosis and treatments, community-based education and awareness programs.