Assessment of knowledge and their practices regarding malaria among members of Village Health Sanitation Committee in rural Uttar Pradesh: A cross-sectional study.

Background: In 2019, the global number of malaria cases was estimated at 229 million. An estimated 409,000 deaths were attributed to malaria in 2019. Under-five children are the most susceptible to malaria, accounting for 67% (274,000) of all malaria deaths worldwide in 2019. This study aimed to assess knowledge and practices regarding malaria among Village Health Sanitation Committee (VHSC) members in rural Uttar Pradesh. Methodology: This cross-sectional study was conducted in the villages of four districts of Uttar Pradesh with high malaria burden. In the present study, 484 participants were interviewed from four districts of Uttar Pradesh. Results: Nearly all the participants (97.1%) have heard about malaria. Majority of the participants (97.1) were aware that mosquito bites spread malaria. However, many participants were also having a false awareness that malaria is spread by other modes like drinking contaminated water, touching each other, eating contaminated food, and so on. More than half of the participants told that mosquitoes are responsible for malaria breeds in stagnant clean water (25.6%) and stagnant dirty water (28.5%). Nearly half of them were aware that mosquitoes' biting time was sunset (42.1%) and sunrise (7.8%). Conclusion: In the present study, many participants were having a false awareness that malaria is spread by other modes like drinking contaminated water, touching each other, eating contaminated food, and so on. Even the knowledge regarding any government program for the prevention and control of malaria of the mosquitoes was very weak. There is an urgent requirement of increasing knowledge among the VHSC members to reduce the malaria burden in the country.

Assessment of carbapenems in a mouse model of Mycobacterium tuberculosis infection.

We present further study of a subset of carbapenems, arising from a previously reported machine learning approach, with regard to their mouse pharmacokinetic profiling and subsequent study in a mouse model of sub-acute Mycobacterium tuberculosis infection. Pharmacokinetic metrics for such small molecules were compared to those for meropenem and biapenem, resulting in the selection of two carbapenems to be assessed for their ability to reduce M. tuberculosis bacterial loads in the lungs of infected mice. The original syntheses of these two carbapenems were optimized to provide multigram quantities of each compound. One of the two experimental carbapenems, JSF-2204, exhibited efficacy equivalent to that of meropenem, while both were inferior to rifampin. The lessons learned in this study point toward the need to further enhance the pharmacokinetic profiles of experimental carbapenems to positively impact in vivo efficacy performance.