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Review
. 2024 Jul;13(7):2576-2584.
doi: 10.4103/jfmpc.jfmpc_1970_23. Epub 2024 Jun 28.

The impact of COVID-19 on tuberculosis in most populated state of India: A geospatial meta-analysis

Vandana Priyadarshi  1 , Shashank Tripathi  2
Affiliations
Review

The impact of COVID-19 on tuberculosis in most populated state of India: A geospatial meta-analysis

Vandana Priyadarshi et al. J Family Med Prim Care. 2024 Jul.

Abstract

Background: Tuberculosis is one of the major burdens to developing nations. India is among the countries categorized by the World Health Organization (WHO) as experiencing a significant burden of TB, HIV-associated TB, and MDR/RR-TB within the context of low- and middle-income nations. Globally South East Asian and African region alone accounted for 82% of death (HIV negative), where India accounts for 36% of TB fatalities.

Materials and methods: The data was extracted from NIKSHAY web portal on TB notification cases in UP, India. The random effects meta-analysis was performed to estimate pooled proportion of TB cases in public and private notified during both the periods. Spatial analysis was used to display the spread of TB cases across the state, during both the periods.

Results: A total 75 districts data on TB notified cases were available for current investigation. The pooled proportion of TB cases were 0.24 (0.21, 0.27) and 0.76 (0.73, 0.79) during COVID-19 period for private and public hospitals, respectively. Similarly, the pooled proportion of TB cases were 0.26 (0.23, 0.29) and 0.74 (0.71, 0.77) post-COVID-19 for private and public hospitals, respectively.

Conclusion: The proportion of TB cases were more in public hospital as compared to private hospitals during COVID-19 period. Similarly, result was obtained in post-COVID-19 period.

Keywords: COVID-19; infectious diseases; meta-analysis; spatial analysis; tuberculosis.

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Conflict of interest statement

There are no conflicts of interest.

Figures

Figure 1
Figure 1
Trend lines between private notified patients vs public notified patients of TB (a) during COVID-19 and (b) post-COVID-19
Figure 2
Figure 2
Forest plot for proportion (with 95% CI) of TB patients during COVID-19 in (a) private notified and (b) public notified
Figure 3
Figure 3
Forest plot for proportion (with 95% CI) of TB patients post-COVID-19 in (a) private notified and (b) public notified
Figure 4
Figure 4
Spatial distribution of proportion of TB cases notified in public hospitals
Figure 5
Figure 5
Spatial distribution of proportion of TB cases notified in private hospitals
See this image and copyright information in PMC

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