» Articles » PMID: 26866696

Trends in Malaria in Odisha, India-An Analysis of the 2003-2013 Time-Series Data from the National Vector Borne Disease Control Program

Overview
Journal PLoS One
Date 2016 Feb 12
PMID 26866696
Citations 21
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Although Odisha is the largest contributor to the malaria burden in India, no systematic study has examined its malaria trends. Hence, the spatio-temporal trends in malaria in Odisha were assessed against the backdrop of the various anti-malaria strategies implemented in the state.

Methods: Using the district-wise malaria incidence and blood examination data (2003-2013) from the National Vector Borne Disease Control Program, blood examination-adjusted time-trends in malaria incidence were estimated and predicted for 2003-2013 and 2014-2016, respectively. An interrupted time series analysis using segmented regression was conducted to compare the disease trends between the pre (2003-2007) and post-intensification (2009-2013) periods. Key-informant interviews of state stakeholders were used to collect the information on the various anti-malaria strategies adopted in the state.

Results: The state annual malaria incidence declined from 10.82/1000 to 5.28/1000 during 2003-2013 (adjusted annual decline: -0.54/1000, 95% CI: -0.78 to -0.30). However, the annual blood examination rate remained almost unchanged from 11.25% to 11.77%. The keyinformants revealed that intensification of anti-malaria activities in 2008 led to a more rapid decline in malaria incidence during 2009-2013 as compared to that in 2003-2007 [adjusted decline: -0.83 (-1.30 to -0.37) and -0.27 (-0.41 to -0.13), respectively]. There was a significant difference in the two temporal slopes, i.e., -0.054 (-0.10 to -0.002, p = 0.04) per 1000 population per month, between these two periods, indicating almost a 200% greater decline in the post-intensification period. Although, the seven southern high-burden districts registered the highest decline, they continued to remain in that zone, thereby, making the achievement of malaria elimination (incidence <1/1000) unlikely by 2017.

Conclusion: The anti-malaria strategies in Odisha, especially their intensification since 2008, have helped improve its malaria situation in recent years. These successful measures need to be sustained and perhaps intensified further for eliminating malaria from Odisha.

Citing Articles

Toward Malaria Elimination: Understanding Awareness, Prevention, and Health-Seeking Patterns in Odisha, India.

Jabir Mm M, Panigrahi D, Baig M, Vijayakumar B, Panda P, Shriram A Am J Trop Med Hyg. 2024; 111(3):472-480.

PMID: 38955199 PMC: 11376177. DOI: 10.4269/ajtmh.23-0830.


Time series analysis of malaria cases to assess the impact of various interventions over the last three decades and forecasting malaria in India towards the 2030 elimination goals.

Singh M, Rajvanshi H, Bharti P, Anvikar A, Lal A Malar J. 2024; 23(1):50.

PMID: 38360708 PMC: 10870538. DOI: 10.1186/s12936-024-04872-8.


Hospitalization & health expenditure in Odisha: Evidence from National Sample Survey (1995-2014).

Singh J, Paul K, Pradhan J Indian J Med Res. 2022; 156(1):130-138.

PMID: 36510905 PMC: 9903382. DOI: 10.4103/ijmr.IJMR_412_19.


Lumpy Skin Disease Outbreaks in Africa, Europe, and Asia (2005-2022): Multiple Change Point Analysis and Time Series Forecast.

Anwar A, Na-Lampang K, Preyavichyapugdee N, Punyapornwithaya V Viruses. 2022; 14(10).

PMID: 36298758 PMC: 9611638. DOI: 10.3390/v14102203.


The Impact, Emerging Needs, and New Research Questions Arising from 12 Years of the Center for the Study of Complex Malaria in India.

Carlton J, Sahu P, Wassmer S, Mohanty S, Kessler A, Eapen A Am J Trop Med Hyg. 2022; 107(4_Suppl):90-96.

PMID: 36228922 PMC: 9662226. DOI: 10.4269/ajtmh.21-1277.


References
1.
Sahu S, Gunasekaran K, Vanamail P, Jambulingam P . Seasonal prevalence & resting behaviour of Anopheles minimus Theobald & An. fluviatilis James (Diptera: Culicidae) in east-central India. Indian J Med Res. 2011; 133:655-61. PMC: 3135995. View

2.
Valadez J, Devkota B, Pradhan M, Meherda P, Sonal G, Dhariwal A . Improving malaria treatment and prevention in India by aiding district managers to manage their programmes with local information: a trial assessing the impact of Lot Quality Assurance Sampling on programme outcomes. Trop Med Int Health. 2014; 19(10):1226-36. DOI: 10.1111/tmi.12354. View

3.
Singh N, Singh M, Wylie B, Hussain M, Kojo Y, Shekhar C . Malaria prevalence among pregnant women in two districts with differing endemicity in Chhattisgarh, India. Malar J. 2012; 11:274. PMC: 3489539. DOI: 10.1186/1475-2875-11-274. View

4.
Kamuliwo M, Chanda E, Haque U, Mwanza-Ingwe M, Sikaala C, Katebe-Sakala C . The changing burden of malaria and association with vector control interventions in Zambia using district-level surveillance data, 2006-2011. Malar J. 2013; 12:437. PMC: 3881017. DOI: 10.1186/1475-2875-12-437. View

5.
Wagner A, Soumerai S, Zhang F, Ross-Degnan D . Segmented regression analysis of interrupted time series studies in medication use research. J Clin Pharm Ther. 2002; 27(4):299-309. DOI: 10.1046/j.1365-2710.2002.00430.x. View